-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathreferences.bib
5419 lines (5092 loc) · 461 KB
/
references.bib
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
@misc{2008conac,
title = {{{CONAC Chilean Corporation Against Cancer}} - "{{Brown}}"},
year = {2008},
month = apr,
langid = {english}
}
@misc{2015smoking,
title = {'{{Smoking Baby}}' {{Billboard Gives Parents Food}} for {{Thought After New Cancer Risk Study}}},
year = {2015},
month = oct,
journal = {PETA},
urldate = {2023-01-05},
abstract = {Confirming earlier studies that were largely ignored, the World Health Organization has just classified processed meats as a Group 1 carcinogen, alongside tobacco. That's why PETA is now negotiating with outdoor advertisers in Sioux City\textemdash the highest pork-producing region in the nation\textemdash to run a billboard that shows a toddler smoking a stogie and the words "You Wouldn't Let Your Child Smoke. Like Smoking, Eating Meat Causes Heart Disease and Cancer. Go Vegan!"},
howpublished = {https://www.peta.org/media/news-releases/smoking-baby-billboard-gives-parents-food-for-thought-after-new-cancer-risk-study/},
langid = {american},
file = {/Users/matthew/Zotero/storage/ILEU6ZCY/smoking-baby-billboard-gives-parents-food-for-thought-after-new-cancer-risk-study.html}
}
@misc{2022tobacco,
title = {Tobacco},
year = {2022},
month = may,
journal = {World Health Organization},
urldate = {2023-01-10},
howpublished = {https://www.who.int/news-room/fact-sheets/detail/tobacco},
langid = {english},
file = {/Users/matthew/Zotero/storage/RPG82Q9V/tobacco.html}
}
@book{americanpsychiatricassociation2013diagnostic,
title = {Diagnostic and {{Statistical Manual}} of {{Mental Disorders}}},
author = {{American Psychiatric Association}},
year = {2013},
month = may,
edition = {Fifth Edition},
publisher = {{American Psychiatric Association}},
doi = {10.1176/appi.books.9780890425596},
urldate = {2021-05-23},
isbn = {978-0-89042-555-8 978-0-89042-557-2},
langid = {english},
file = {/Users/matthew/Zotero/storage/8DRM5YZN/americanpsychiatricassociation2013diagnostic.pdf}
}
@article{annis2005permutation,
title = {Permutation, {{Parametric}}, and {{Bootstrap Tests}} of {{Hypotheses}}},
author = {Annis, David H},
year = {2005},
month = dec,
journal = {Journal of the American Statistical Association},
volume = {100},
number = {472},
pages = {1457--1458},
publisher = {{Taylor \& Francis}},
issn = {0162-1459},
doi = {10.1198/jasa.2005.s48},
urldate = {2023-04-03},
file = {/Users/matthew/Zotero/storage/TTJXV85C/annis_2005_permutatio.pdf}
}
@incollection{asao2016tripartite,
title = {The Tripartite Theory of Machiavellian Morality: {{Judgment}}, Influence, and Conscience as Distinct Moral Adaptations},
booktitle = {The Evolution of Morality},
author = {Asao, Kelly and Buss, David M},
year = {2016},
pages = {3--25},
publisher = {{Springer}}
}
@article{baars2002conscious,
title = {The Conscious Access Hypothesis: Origins and Recent Evidence},
shorttitle = {The Conscious Access Hypothesis},
author = {Baars, Bernard J.},
year = {2002},
month = jan,
journal = {Trends in Cognitive Sciences},
volume = {6},
number = {1},
pages = {47--52},
issn = {13646613},
doi = {10.1016/S1364-6613(00)01819-2},
urldate = {2023-01-10},
langid = {english},
file = {/Users/matthew/Zotero/storage/QZT72NPR/baars_2002_the.pdf}
}
@article{banks2016Editorial,
title = {Editorial: {{Evidence}} on {{Questionable Research Practices}}: {{The Good}}, the {{Bad}}, and the {{Ugly}}},
shorttitle = {Editorial},
author = {Banks, George C. and Rogelberg, Steven G. and Woznyj, Haley M. and Landis, Ronald S. and Rupp, Deborah E.},
year = {2016},
month = sep,
journal = {Journal of Business and Psychology},
volume = {31},
number = {3},
pages = {323--338},
issn = {1573-353X},
doi = {10.1007/s10869-016-9456-7},
urldate = {2022-09-15},
abstract = {Questionable research or reporting practices (QRPs) contribute to a growing concern regarding the credibility of research in the organizational sciences and related fields. Such practices include design, analytic, or reporting practices that may introduce biased evidence, which can have harmful implications for evidence-based practice, theory development, and perceptions of the rigor of science.},
langid = {english},
keywords = {Ethics,Philosophy of science,Questionable research practices QRPs,Research methodology,Research methods},
file = {/Users/matthew/Zotero/storage/W9M4GZB7/banks_2016_editorial.pdf}
}
@article{barabasi2012network,
title = {The Network Takeover},
author = {Barab{\'a}si, Albert-L{\'a}szl{\'o}},
year = {2012},
month = jan,
journal = {Nature Physics},
volume = {8},
number = {1},
pages = {14--16},
publisher = {{Nature Publishing Group}},
issn = {1745-2481},
doi = {10.1038/nphys2188},
urldate = {2021-05-23},
abstract = {Reductionism, as a paradigm, is expired, and complexity, as a field, is tired. Data-based mathematical models of complex systems are offering a fresh perspective, rapidly developing into a new discipline: network science.},
copyright = {2012 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.},
langid = {english},
file = {/Users/matthew/Zotero/storage/2P4RL2X2/nphys2188.html}
}
@article{barth2013comparative,
title = {Comparative {{Efficacy}} of {{Seven Psychotherapeutic Interventions}} for {{Patients}} with {{Depression}}: {{A Network Meta-Analysis}}},
shorttitle = {Comparative {{Efficacy}} of {{Seven Psychotherapeutic Interventions}} for {{Patients}} with {{Depression}}},
author = {Barth, J{\"u}rgen and Munder, Thomas and Gerger, Heike and N{\"u}esch, Eveline and Trelle, Sven and Znoj, Hansj{\"o}rg and J{\"u}ni, Peter and Cuijpers, Pim},
year = {2013},
journal = {PLOS Medicine},
volume = {10},
number = {5},
pages = {e1001454},
publisher = {{Public Library of Science}},
issn = {1549-1676},
doi = {10.1371/journal.pmed.1001454},
urldate = {2021-05-18},
abstract = {J\"urgen Barth and colleagues use network meta-analysis - a novel methodological approach - to reexamine the comparative efficacy of seven psychotherapeutic interventions for adults with depression. Please see later in the article for the Editors' Summary},
langid = {english},
keywords = {Behavior,Depression,Drug therapy,Geriatric depression,Mental health therapies,Metaanalysis,Problem solving,Psychotherapy},
file = {/Users/matthew/Zotero/storage/S5URYTER/barth2013comparative.pdf;/Users/matthew/Zotero/storage/7HWDNWBN/article.html}
}
@article{batson2007anger,
title = {Anger at Unfairness: Is It Moral Outrage?},
shorttitle = {Anger at Unfairness},
author = {Batson, C. Daniel and Kennedy, Christopher L. and Nord, Lesley-Anne and Stocks, E. L. and Fleming, D'Yani A. and Marzette, Christian M. and Lishner, David A. and Hayes, Robin E. and Kolchinsky, Leah M. and Zerger, Tricia},
year = {2007},
journal = {European Journal of Social Psychology},
volume = {37},
number = {6},
pages = {1272--1285},
issn = {1099-0992},
doi = {10.1002/ejsp.434},
urldate = {2022-05-12},
langid = {english},
file = {/Users/matthew/Zotero/storage/JQ8V8BM8/batson2007anger.pdf;/Users/matthew/Zotero/storage/BMVEKPR3/ejsp.html}
}
@article{batson2009pursuing,
title = {Pursuing Moral Outrage: {{Anger}} at Torture},
shorttitle = {Pursuing Moral Outrage},
author = {Batson, C. Daniel and Chao, Mary C. and Givens, Jeffery M.},
year = {2009},
month = jan,
journal = {Journal of Experimental Social Psychology},
volume = {45},
number = {1},
pages = {155--160},
issn = {00221031},
doi = {10.1016/j.jesp.2008.07.017},
urldate = {2022-05-25},
abstract = {Moral outrage\textemdash anger at violation of a moral standard\textemdash should be distinguished from anger at the harm caused by standard-violating behavior. Recent research that used experimental manipulation to disentangle these different forms of anger found evidence of personal and empathic anger, but not of moral outrage. We sought to extend this research by assessing anger at a more extreme moral violation: torture. If the person tortured is a member of one's group (nationality), anger may not be over the moral violation but over the harm done to one of ``us.'' In an experiment designed to create the necessary appraisal conditions, we found clear evidence of identity-relevant personal anger (anger when a person from one's nationality is tortured) but little evidence of moral outrage (anger even when a person from an identity-irrelevant nationality is tortured). Implications for understanding moral emotion and moral motivation are discussed.},
langid = {english},
file = {/Users/matthew/Zotero/storage/GSRPES34/1-s2.0-S0022103108001522-main.pdf}
}
@article{baysan2020causal,
title = {Causal {{Emergence}} and {{Epiphenomenal Emergence}}},
author = {Baysan, Umut},
year = {2020},
month = aug,
journal = {Erkenntnis},
volume = {85},
number = {4},
pages = {891--904},
issn = {1572-8420},
doi = {10.1007/s10670-018-0055-z},
urldate = {2021-05-20},
abstract = {According to one conception of strong emergence, strongly emergent properties are nomologically necessitated by their base properties and have novel causal powers relative to them. In this paper, I raise a difficulty for this conception of strong emergence, arguing that these two features (i.e., nomological necessitation and causal novelty) are incompatible. Instead of presenting this as an objection to the friends of strong emergence, I argue that this indicates that there are distinct varieties of strong emergence: causal emergence and epiphenomenal emergence. I then explore the prospects of emergentism with this distinction in the background.},
langid = {english},
file = {/Users/matthew/Zotero/storage/QDFYN6BI/baysan2020causal.pdf}
}
@article{beck2005current,
title = {The Current State of Cognitive Therapy: {{A}} 40-{{Year}} Retrospective},
author = {Beck, Aaron T.},
year = {2005},
month = sep,
journal = {Archives of General Psychiatry},
volume = {62},
number = {9},
eprint = {https://jamanetwork.com/journals/jamapsychiatry/articlepdf/1108411/yps40003.pdf},
pages = {953--959},
issn = {0003-990X},
doi = {10.1001/archpsyc.62.9.953},
abstract = {The basic framework of the cognitive theory of psychopathology and cognitive therapy of specific psychiatric disorders was developed more than 40 years ago. Since that time, there has been continuing progress in the development of cognitive theory and therapy and in the empirical testing of both. A substantial body of research supports the cognitive model of depression and, to a somewhat lesser extent, the various anxiety disorders. Cognitive therapy (CT), often labeled as the generic term cognitive behavior therapy, has been shown to be effective in reducing symptoms and relapse rates, with or without medication, in a wide variety of psychiatric disorders. Suggestions for future research and applications are presented.Arch Gen Psychiatry. 2005;62:953-959\textendash\textquestiondown},
file = {/Users/matthew/Zotero/storage/GTM4PGZ7/beck2005current.pdf}
}
@article{ben-nunbloom2011we,
title = {We're {{Closer}} than {{I Thought}}: {{Social Network Heterogeneity}}, {{Morality}}, and {{Political Persuasion}}},
shorttitle = {We're {{Closer}} than {{I Thought}}},
author = {{Ben-Nun Bloom}, Pazit and Levitan, Lindsey Clark},
year = {2011},
journal = {Political Psychology},
volume = {32},
number = {4},
pages = {643--665},
issn = {1467-9221},
doi = {10.1111/j.1467-9221.2011.00826.x},
urldate = {2022-09-16},
abstract = {Literature in the area of social networks indicates that increases in perceived social network attitudinal heterogeneity generate increased openness to attitude change. Recent evidence in the area of morality, however, shows that morally based attitudes are particularly resistant to persuasion and can result in the rejection of disagreeing others. Positing that considering morality would reduce network influence, an experiment varied moral cues presented along with a non-network persuasive message while holding the actual content constant. Results demonstrate that morality and network composition interact to predict persuasion, such that when people are not cued to consider morality increased network heterogeneity predicts increased persuasion, but when identical messages are presented in a way that invokes morality the impact of network heterogeneity disappears or even reverses marginally. This interactive effect was replicated in two very different political issues: gay adoption and nationalized healthcare. Implications for persuasion by morally motivated sources independent of the effects of specific moral arguments are discussed.},
langid = {english},
keywords = {attitude strength,morality,persuasion,social networks},
file = {/Users/matthew/Zotero/storage/JDEIUEK2/bloom2011werea.pdf;/Users/matthew/Zotero/storage/NI2K9B24/ben-nun bloom_2011_we're.pdf;/Users/matthew/Zotero/storage/SAGULU3M/bloom2011werea.pdf;/Users/matthew/Zotero/storage/VFYZIGHD/bloom2011werea.pdf;/Users/matthew/Zotero/storage/WVTUNWYC/bloom2011werea.pdf;/Users/matthew/Zotero/storage/SV3TGQ58/j.1467-9221.2011.00826.html}
}
@article{berdahl2010neural,
title = {A Neural Network Model of {{Borderline Personality Disorder}}},
author = {Berdahl, Carl H.},
year = {2010},
month = mar,
journal = {Neural Networks},
volume = {23},
number = {2},
pages = {177--188},
issn = {0893-6080},
doi = {10.1016/j.neunet.2009.10.007},
urldate = {2021-05-23},
abstract = {The etiology of Borderline Personality Disorder (BPD) is unknown. This paper develops an etiological hypothesis by constructing a neural network with constraints from neuroanatomy, neurophysiology, and behavior. The neural network ascribes roles to the brainstem's periaqueductal gray, the amygdala, and the anterior cingulate/ventromedial prefrontal cortex (ACC/vmPFC). Neural network simulations show how these brain structures might interact during BPD behavior. The simulations suggest that long term depression (LTD) in ACC/vmPFC may explain several BPD symptoms. The network makes testable suggestions. The current work is the first-ever neural network simulation of BPD.},
langid = {english},
keywords = {Aggression,Borderline Personality Disorder,Dissociation,Post traumatic stress disorder,Trauma},
file = {/Users/matthew/Zotero/storage/HKUQ6WES/S0893608009002640.html}
}
@article{bersoff1993culture,
title = {Culture, Context, and the Development of Moral Accountability Judgments.},
author = {Bersoff, David M. and Miller, Joan G.},
year = {1993},
journal = {Developmental Psychology},
volume = {29},
number = {4},
pages = {664--676},
publisher = {{American Psychological Association}},
issn = {0012-1649},
doi = {10.1037/0012-1649.29.4.664},
urldate = {2022-05-30},
langid = {english},
file = {/Users/matthew/Zotero/storage/5MINXAAR/miller1993culture.pdf}
}
@article{bertolero2015modular,
title = {The Modular and Integrative Functional Architecture of the Human Brain},
author = {Bertolero, Maxwell A. and Yeo, B. T. Thomas and D'Esposito, Mark},
year = {2015},
month = dec,
journal = {Proceedings of the National Academy of Sciences},
volume = {112},
number = {49},
pages = {E6798-E6807},
publisher = {{National Academy of Sciences}},
issn = {0027-8424, 1091-6490},
doi = {10.1073/pnas.1510619112},
urldate = {2021-05-23},
abstract = {Network-based analyses of brain imaging data consistently reveal distinct modules and connector nodes with diverse global connectivity across the modules. How discrete the functions of modules are, how dependent the computational load of each module is to the other modules' processing, and what the precise role of connector nodes is for between-module communication remains underspecified. Here, we use a network model of the brain derived from resting-state functional MRI (rs-fMRI) data and investigate the modular functional architecture of the human brain by analyzing activity at different types of nodes in the network across 9,208 experiments of 77 cognitive tasks in the BrainMap database. Using an author\textendash topic model of cognitive functions, we find a strong spatial correspondence between the cognitive functions and the network's modules, suggesting that each module performs a discrete cognitive function. Crucially, activity at local nodes within the modules does not increase in tasks that require more cognitive functions, demonstrating the autonomy of modules' functions. However, connector nodes do exhibit increased activity when more cognitive functions are engaged in a task. Moreover, connector nodes are located where brain activity is associated with many different cognitive functions. Connector nodes potentially play a role in between-module communication that maintains the modular function of the brain. Together, these findings provide a network account of the brain's modular yet integrated implementation of cognitive functions.},
chapter = {PNAS Plus},
langid = {english},
pmid = {26598686},
keywords = {cognition,graph theory,hubs,modularity,network},
file = {/Users/matthew/Zotero/storage/XWQSZVFD/bertolero2015modular.pdf;/Users/matthew/Zotero/storage/M3YPKYID/E6798.html}
}
@article{borders2017bidirectional,
title = {The Bidirectional Associations between State Anger and Rumination and the Role of Trait Mindfulness},
author = {Borders, Ashley and Lu, Shou-En},
year = {2017},
journal = {Aggressive Behavior},
volume = {43},
number = {4},
pages = {342--351},
issn = {1098-2337},
doi = {10.1002/ab.21693},
urldate = {2022-05-25},
abstract = {Rumination is associated with exacerbated angry mood. Angry moods may also trigger rumination. However, research has not empirically tested the bidirectional associations of state rumination and anger, as experience sampling methodology can do. We predicted that state anger and rumination would be bi-directionally associated, both concurrently and over time, even controlling for trait anger and rumination. In addition, because mindfulness is associated with rumination and anger at the bivariate level, we examined the effect of trait mindfulness on the bidirectional association between state rumination and anger. We examined two hypotheses: (i) state rumination mediates the effect of trait mindfulness on state anger; and (ii) trait mindfulness weakens, or moderates, the bidirectional associations between state rumination and anger. In an experience-sampling study, 200 college students reported their current ruminative thinking and angry mood several times a day for 7 days. Mixed model analyses indicated that state anger and rumination predicted each other concurrently. In cross-lagged analyses, previous anger did not uniquely predict current rumination; previous rumination predicted current anger, although the effect was small. In support of our hypothesis, state rumination mediated the association between trait mindfulness and state anger. Additionally, trait mindfulness moderated the concurrent and cross-lagged associations between state rumination and anger, although the results were complex. This study contributes new information about the complex interplay of rumination and anger. Findings also add support to the theory that mindfulness decreases emotional reactivity. Aggr. Behav. 43:342\textendash 351, 2017. \textcopyright{} 2016 Wiley Periodicals, Inc.},
langid = {english},
keywords = {anger,experience sampling,mindfulness,rumination},
file = {/Users/matthew/Zotero/storage/66MWH37G/ab.html}
}
@article{borsboom2003theoretical,
title = {The Theoretical Status of Latent Variables.},
author = {Borsboom, Denny and Mellenbergh, Gideon J. and {van Heerden}, Jaap},
year = {2003},
month = apr,
journal = {Psychological Review},
volume = {110},
number = {2},
pages = {203--219},
issn = {1939-1471, 0033-295X},
doi = {10.1037/0033-295X.110.2.203},
urldate = {2021-05-23},
langid = {english},
file = {/Users/matthew/Zotero/storage/PPKNUFXQ/borsboom2003theoretical.pdf}
}
@article{borsboom2013network,
title = {Network {{Analysis}}: {{An Integrative Approach}} to the {{Structure}} of {{Psychopathology}}},
shorttitle = {Network {{Analysis}}},
author = {Borsboom, Denny and Cramer, Ang{\'e}lique O.J.},
year = {2013},
month = mar,
journal = {Annual Review of Clinical Psychology},
volume = {9},
number = {1},
pages = {91--121},
issn = {1548-5943, 1548-5951},
doi = {10.1146/annurev-clinpsy-050212-185608},
urldate = {2022-05-30},
abstract = {In network approaches to psychopathology, disorders result from the causal interplay between symptoms (e.g., worry \textrightarrow{} insomnia \textrightarrow{} fatigue), possibly involving feedback loops (e.g., a person may engage in substance abuse to forget the problems that arose due to substance abuse). The present review examines methodologies suited to identify such symptom networks and discusses network analysis techniques that may be used to extract clinically and scientifically useful information from such networks (e.g., which symptom is most central in a person's network). The authors also show how network analysis techniques may be used to construct simulation models that mimic symptom dynamics. Network approaches naturally explain the limited success of traditional research strategies, which are typically based on the idea that symptoms are manifestations of some common underlying factor, while offering promising methodological alternatives. In addition, these techniques may offer possibilities to guide and evaluate therapeutic interventions.},
langid = {english},
file = {/Users/matthew/Zotero/storage/47G6C3TM/annurev-clinpsy-050212-185608.pdf;/Users/matthew/Zotero/storage/4ICRKCSJ/borsboom2013network.pdf}
}
@article{borsboom2017network,
title = {A Network Theory of Mental Disorders},
author = {Borsboom, Denny},
year = {2017},
month = feb,
journal = {World Psychiatry},
volume = {16},
number = {1},
pages = {5--13},
issn = {17238617},
doi = {10.1002/wps.20375},
urldate = {2022-05-30},
abstract = {In recent years, the network approach to psychopathology has been advanced as an alternative way of conceptualizing mental disorders. In this approach, mental disorders arise from direct interactions between symptoms. Although the network approach has led to many novel methodologies and substantive applications, it has not yet been fully articulated as a scientific theory of mental disorders. The present paper aims to develop such a theory, by postulating a limited set of theoretical principles regarding the structure and dynamics of symptom networks. At the heart of the theory lies the notion that symptoms of psychopathology are causally connected through myriads of biological, psychological and societal mechanisms. If these causal relations are sufficiently strong, symptoms can generate a level of feedback that renders them self-sustaining. In this case, the network can get stuck in a disorder state. The network theory holds that this is a general feature of mental disorders, which can therefore be understood as alternative stable states of strongly connected symptom networks. This idea naturally leads to a comprehensive model of psychopathology, encompassing a common explanatory model for mental disorders, as well as novel definitions of associated concepts such as mental health, resilience, vulnerability and liability. In addition, the network theory has direct implications for how to understand diagnosis and treatment, and suggests a clear agenda for future research in psychiatry and associated disciplines.},
langid = {english},
file = {/Users/matthew/Zotero/storage/7WVJ6ENS/borsboom2017network.pdf;/Users/matthew/Zotero/storage/8SLB2PLQ/wps.20375.pdf}
}
@article{borsboom2019brain,
title = {Brain Disorders? {{Not}} Really: {{Why}} Network Structures Block Reductionism in Psychopathology Research},
shorttitle = {Brain Disorders?},
author = {Borsboom, Denny and Cramer, Ang{\'e}lique O. J. and Kalis, Annemarie},
year = {2019},
journal = {Behavioral and Brain Sciences},
volume = {42},
pages = {e2},
publisher = {{Cambridge University Press}},
issn = {0140-525X, 1469-1825},
doi = {10.1017/S0140525X17002266},
urldate = {2022-05-30},
abstract = {In the past decades, reductionism has dominated both research directions and funding policies in clinical psychology and psychiatry. The intense search for the biological basis of mental disorders, however, has not resulted in conclusive reductionist explanations of psychopathology. Recently, network models have been proposed as an alternative framework for the analysis of mental disorders, in which mental disorders arise from the causal interplay between symptoms. In this target article, we show that this conceptualization can help explain why reductionist approaches in psychiatry and clinical psychology are on the wrong track. First, symptom networks preclude the identification of a common cause of symptomatology with a neurobiological condition; in symptom networks, there is no such common cause. Second, symptom network relations depend on the content of mental states and, as such, feature intentionality. Third, the strength of network relations is highly likely to depend partially on cultural and historical contexts as well as external mechanisms in the environment. Taken together, these properties suggest that, if mental disorders are indeed networks of causally related symptoms, reductionist accounts cannot achieve the level of success associated with reductionist disease models in modern medicine. As an alternative strategy, we propose to interpret network structures in terms of D. C. Dennett's (1987) notion of real patterns, and suggest that, instead of being reducible to a biological basis, mental disorders feature biological and psychological factors that are deeply intertwined in feedback loops. This suggests that neither psychological nor biological levels can claim causal or explanatory priority, and that a holistic research strategy is necessary for progress in the study of mental disorders.},
langid = {english},
keywords = {networks,philosophy,psychometrics,psychopathology,reductionism},
file = {/Users/matthew/Zotero/storage/DBKRHSBR/borsboom2019brain.pdf;/Users/matthew/Zotero/storage/ASG3M9UV/D5A20455723B237C60E379D29F8797B1.html}
}
@article{borsboom2019reductionism,
title = {Reductionism in Retreat},
author = {Borsboom, Denny and Cramer, Ang{\'e}lique O. J. and Kalis, Annemarie},
year = {2019},
journal = {Behavioral and Brain Sciences},
volume = {42},
publisher = {{Cambridge University Press}},
address = {{New York, United Kingdom}},
issn = {0140525X},
doi = {http://dx.doi.org/10.1017/S0140525X18002091},
urldate = {2021-05-23},
abstract = {Brain disorders? Not really: Why network structures block reductionism in psychopathology research BorsboomDenny Behavioral and Brain Sciences, 42, e2. DOI: 10.1017/S0140525X17002266 We address the commentaries on our target article in terms of four major themes. First, we note that virtually all commentators agree that mental disorders are not brain disorders in the common interpretation of these terms, and establish the consensus that explanatory reductionism is not a viable thesis. Second, we address criticisms to the effect that our article was misdirected or aimed at a straw man; we argue that this is unlikely, given the widespread communication of reductionist slogans in psychopathology research and society. Third, we tackle the question of whether intentionality, extended systems, and multiple realizability are as problematic as claimed in the target article, and we present a number of nuances and extensions with respect to our article. Fourth, we discuss the question of how the network approach should incorporate biological factors, given that wholesale reductionism is an unlikely option.},
chapter = {Authors' Response},
copyright = {Copyright \textcopyright{} Cambridge University Press 2019},
langid = {english},
keywords = {Biology,Brain,Brain diseases,Brain research,Chronic fatigue syndrome,Hypotheses,Medical Sciences--Psychiatry And Neurology,Mental disorders,Psychology,Psychopathology,Questions,Realizability,Reductionism,Straw},
file = {/Users/matthew/Zotero/storage/SYIJA8CN/borsboom2019reductionism.pdf}
}
@article{borsboom2021network,
title = {Network Analysis of Multivariate Data in Psychological Science},
author = {Borsboom, Denny and Deserno, Marie K. and Rhemtulla, Mijke and Epskamp, Sacha and Fried, Eiko I. and McNally, Richard J. and Robinaugh, Donald J. and Perugini, Marco and Dalege, Jonas and Costantini, Giulio and Isvoranu, Adela-Maria and Wysocki, Anna C. and {van Borkulo}, Claudia D. and {van Bork}, Riet and Waldorp, Lourens J.},
year = {2021},
month = dec,
journal = {Nature Reviews Methods Primers},
volume = {1},
number = {1},
pages = {58},
issn = {2662-8449},
doi = {10.1038/s43586-021-00055-w},
urldate = {2021-10-21},
abstract = {In recent years, network analysis has been applied to identify and analyse patterns of statistical association in multivariate psychological data. In these approaches, network nodes represent variables in a data set, and edges represent pairwise conditional associations between variables in the data, while conditioning on the remaining variables. This Primer provides an anatomy of these techniques, describes the current state of the art and discusses open problems. We identify relevant data structures in which network analysis may be applied: cross-s ectional data, repeated measures and intensive longitudinal data. We then discuss the estimation of network structures in each of these cases, as well as assessment techniques to evaluate network robustness and replicability. Successful applications of the technique in different research areas are highlighted. Finally, we discuss limitations and challenges for future research.},
langid = {english},
file = {/Users/matthew/Zotero/storage/555KHZHI/borsboom2021network.pdf}
}
@article{borsboom2021theory,
ids = {borsboom2021theorya,borsboom2021theoryb,borsboom2021theoryc},
title = {Theory {{Construction Methodology}}: {{A Practical Framework}} for {{Building Theories}} in {{Psychology}}},
shorttitle = {Theory {{Construction Methodology}}},
author = {Borsboom, Denny and {van der Maas}, Han L. J. and Dalege, Jonas and Kievit, Rogier A. and Haig, Brian D.},
year = {2021},
month = jul,
journal = {Perspectives on Psychological Science},
volume = {16},
number = {4},
pages = {756--766},
publisher = {{SAGE Publications Inc}},
issn = {1745-6916, 1745-6924},
doi = {10.1177/1745691620969647},
urldate = {2022-05-30},
abstract = {This article aims to improve theory formation in psychology by developing a practical methodology for constructing explanatory theories: theory construction methodology (TCM). TCM is a sequence of five steps. First, the theorist identifies a domain of empirical phenomena that becomes the target of explanation. Second, the theorist constructs a prototheory, a set of theoretical principles that putatively explain these phenomena. Third, the prototheory is used to construct a formal model, a set of model equations that encode explanatory principles. Fourth, the theorist investigates the explanatory adequacy of the model by formalizing its empirical phenomena and assessing whether it indeed reproduces these phenomena. Fifth, the theorist studies the overall adequacy of the theory by evaluating whether the identified phenomena are indeed reproduced faithfully and whether the explanatory principles are sufficiently parsimonious and substantively plausible. We explain TCM with an example taken from research on intelligence (the mutualism model of intelligence), in which key elements of the method have been successfully implemented. We discuss the place of TCM in the larger scheme of scientific research and propose an outline for a university curriculum that can systematically educate psychologists in the process of theory formation.},
langid = {english},
keywords = {abduction,formal modeling,mutualism,philosophy of science},
file = {/Users/matthew/Zotero/storage/8UGTYQ2X/TCMPaperRevisionDefinitive.pdf;/Users/matthew/Zotero/storage/9GJTK29R/borsboom2021theory.pdf;/Users/matthew/Zotero/storage/KNGVUBZJ/1745691620969647.pdf;/Users/matthew/Zotero/storage/MPMH4ILZ/1745691620969647 copy.pdf;/Users/matthew/Zotero/storage/TDFG7L8Z/1745691620969647.pdf}
}
@article{brady2017emotion,
title = {Emotion Shapes the Diffusion of Moralized Content in Social Networks},
author = {Brady, William J. and Wills, Julian A. and Jost, John T. and Tucker, Joshua A. and Van Bavel, Jay J.},
year = {2017},
month = jul,
journal = {Proceedings of the National Academy of Sciences},
volume = {114},
number = {28},
pages = {7313--7318},
publisher = {{National Academy of Sciences}},
issn = {0027-8424, 1091-6490},
doi = {10.1073/pnas.1618923114},
urldate = {2021-05-28},
abstract = {Political debate concerning moralized issues is increasingly common in online social networks. However, moral psychology has yet to incorporate the study of social networks to investigate processes by which some moral ideas spread more rapidly or broadly than others. Here, we show that the expression of moral emotion is key for the spread of moral and political ideas in online social networks, a process we call ``moral contagion.'' Using a large sample of social media communications about three polarizing moral/political issues (n = 563,312), we observed that the presence of moral-emotional words in messages increased their diffusion by a factor of 20\% for each additional word. Furthermore, we found that moral contagion was bounded by group membership; moral-emotional language increased diffusion more strongly within liberal and conservative networks, and less between them. Our results highlight the importance of emotion in the social transmission of moral ideas and also demonstrate the utility of social network methods for studying morality. These findings offer insights into how people are exposed to moral and political ideas through social networks, thus expanding models of social influence and group polarization as people become increasingly immersed in social media networks.},
chapter = {Social Sciences},
copyright = {\textcopyright{} . http://www.pnas.org/site/misc/userlicense.xhtml},
langid = {english},
pmid = {28652356},
keywords = {emotion,morality,politics,social media,social networks},
file = {/Users/matthew/Zotero/storage/7HBLD3IH/brady2017emotion.pdf;/Users/matthew/Zotero/storage/VUZJQ53I/7313.html}
}
@article{brady2020attentional,
title = {Attentional Capture Helps Explain Why Moral and Emotional Content Go Viral},
author = {Brady, William J. and Gantman, Ana P. and Van Bavel, Jay J.},
year = {2020},
journal = {Journal of Experimental Psychology: General},
volume = {149},
number = {4},
pages = {746--756},
publisher = {{American Psychological Association}},
address = {{US}},
issn = {1939-2222(Electronic),0096-3445(Print)},
doi = {10.1037/xge0000673},
abstract = {Our social media newsfeeds are filled with a variety of content all battling for our limited attention. Across 3 studies, we investigated whether moral and emotional content captures our attention more than other content and if this may help explain why this content is more likely to go viral online. Using a combination of controlled lab experiments and nearly 50,000 political tweets, we found that moral and emotional content are prioritized in early visual attention more than neutral content, and that such attentional capture is associated with increased retweets during political conversations online. Furthermore, we found that the differences in attentional capture among moral and emotional stimuli could not be fully explained by differences in arousal. These studies suggest that attentional capture is 1 basic psychological process that helps explain the increased diffusion of moral and emotional content during political discourse on social media, and shed light on ways in which political leaders, disinformation profiteers, marketers, and activist organizations can spread moralized content by capitalizing on natural tendencies of our perceptual systems. (PsycINFO Database Record (c) 2020 APA, all rights reserved)},
keywords = {Attentional Capture,Discourse Analysis,Emotional Content,Morality,Online Social Networks,Physiological Arousal,Social Media,Test Construction,Visual Attention},
file = {/Users/matthew/Zotero/storage/MVJWZZE6/2019-52292-001.html}
}
@misc{brady2021how,
title = {How Social Learning Amplifies Moral Outrage Expression in Online Social Networks},
author = {Brady, William J. and McLoughlin, Killian and Doan, Tuan Nguyen and Crockett, Molly},
year = {2021},
month = jan,
institution = {{PsyArXiv}},
doi = {10.31234/osf.io/gf7t5},
urldate = {2021-05-29},
abstract = {Moral outrage shapes fundamental aspects of human social life and is now widespread in online social networks. Here, we show how social learning processes amplify online moral outrage expressions over time. In two pre-registered observational studies of Twitter (7,331 users and 12.7 million total tweets) and two pre-registered behavioral experiments (N = 240), we find that positive social feedback for outrage expressions increases the likelihood of future outrage expressions, consistent with principles of reinforcement learning. We also find that outrage expressions are sensitive to expressive norms in users' social networks, over and above users' own preferences, suggesting that norm learning processes guide online outrage expressions. Moreover, expressive norms moderate social reinforcement of outrage: in ideologically extreme networks, where outrage expression is more common, users are less sensitive to social feedback when deciding whether to express outrage. Our findings highlight how platform design interacts with human learning mechanisms to impact moral discourse in digital public spaces.},
keywords = {emotion,machine learning,morality,outrage,politics,reinforcement learning,Social and Behavioral Sciences,social media,social networks,social norms},
file = {/Users/matthew/Zotero/storage/NZCN6CS8/brady2021how.pdf}
}
@article{brandt2015moralization,
title = {Moralization and the 2012 {{U}}.{{S}}. {{Presidential Election Campaign}}},
author = {Brandt, Mark J. and Wisneski, Daniel C. and Skitka, Linda J.},
year = {2015},
month = oct,
journal = {Journal of Social and Political Psychology},
volume = {3},
number = {2},
pages = {211--237},
issn = {2195-3325},
doi = {10.5964/jspp.v3i2.434},
urldate = {2022-06-22},
abstract = {People vary in the extent to which they imbue an attitude with moral conviction; however, little is known about what makes an issue transform from a relatively non-moral preference to a moral conviction. In the context of the 2012 U.S. presidential election, we test if affect and beliefs (thoughts about harms and benefits) are antecedents or consequences of participants' moral conviction about their candidate preferences, or are some combination of both. Using a longitudinal design in the run-up to the election, we find that, overall, affect is both an antecedent and consequence, and beliefs about harms and benefits are only consequences, of changes in moral conviction related to candidate preferences. The affect results were consistent across liberals, conservatives, and moderates; however, the role of beliefs showed some differences between ideologues (liberals and conservatives) and moderates.},
langid = {english},
file = {/Users/matthew/Zotero/storage/YZMBZSW2/brandt2015moralization.pdf}
}
@article{brandt2021evaluating,
title = {Evaluating {{Belief System Networks}} as a {{Theory}} of {{Political Belief System Dynamics}}},
author = {Brandt, Mark J. and Sleegers, Willem W. A.},
year = {2021},
journal = {Personality and Social Psychology Review},
volume = {25},
number = {2},
pages = {159--185},
doi = {doi.org/10.1177/10888683219937},
abstract = {A theory of political belief system dynamics should incorporate causal connections between elements of the belief system and the possibility that belief systems are influenced by exogenous factors. These necessary components can be satisfied by conceptualizing an individual's belief system as a network of causally connected attitudes and identities which, via the interactions between the elements and the push of exogenous influences, produces the disparate phenomena in the belief systems literature. We implement this belief systems as networks theory in a dynamic Ising model and demonstrate that the theory can integrate at least six otherwise unrelated phenomenon in the political belief systems literature, including work on attitude consistency, cross-pressures, spillover effects, partisan cues, and ideological differences in attitude consensus. Our findings suggest that belief systems are not just one thing, but emerge from the interactions between the attitudes and identities in the belief system. All code is available: https://osf.io/aswy8/?view\_only=99aff77909094bddabb5d382f6db2622.},
langid = {english},
file = {/Users/matthew/Zotero/storage/AKPR8DWC/brandt_2021_evaluating.pdf}
}
@article{brandt2022betweenperson,
title = {Between-Person Methods Provide Limited Insight about within-Person Belief Systems},
author = {Brandt, Mark J. and Morgan, G. Scott},
year = {2022},
journal = {Journal of Personality and Social Psychology},
volume = {123},
pages = {621--635},
publisher = {{American Psychological Association}},
address = {{US}},
issn = {1939-1315},
doi = {10.1037/pspp0000404},
abstract = {Belief systems are individual-level phenomena that describe the interrelationships of the political attitudes of a person. However, the modal study of the structure of political ideologies and beliefs uses cross-sectional survey data to estimate what is central to the belief system or the dimensionality of the belief system, aggregating across many people. Cross-sectional data, however, are ill-suited to the task of studying individual-level phenomena because they contain an unobservable mixture of within-person and between-person variation. In this project, we use longitudinal datasets from the Netherlands (representative) and the United States (convenience), spanning between 6 months and 10 years, to we ask whether between-subjects methods can help us understand the within-person structure of belief systems. First, we use Bayesian STARTS models (L\"udtke et al., 2018) to assess what type of variance cross-sectional studies are likely tapping into. We find that variability in measures of ideology and political beliefs is primarily due to stable between-person differences, with relatively smaller amounts of variation due to within-person differences. Second, we estimate between-person, within-person, and cross-sectional correlations between all items in our study and find that between-person correlations are larger and in some cases differ in their direction from within-person correlations. Furthermore, cross-sectional correlations are most similar to between-person correlations. Taken together, these findings indicate that the modal study may help describe differences between people, but is ill-suited to tell us about the structure of individuals' belief systems. New methods are necessary for a complete understanding of political belief systems that clarify both between- and within-person processes. (PsycInfo Database Record (c) 2022 APA, all rights reserved)},
keywords = {Ideology,Models,Political Attitudes,Surveys},
file = {/Users/matthew/Zotero/storage/DE55BLR5/brandt_2022_between-pe.pdf;/Users/matthew/Zotero/storage/4SZXVJPS/2022-19898-001.html}
}
@article{brandt2022measuring,
title = {Measuring the Belief System of a Person.},
author = {Brandt, Mark J.},
year = {2022},
journal = {Journal of Personality and Social Psychology},
volume = {123},
number = {4},
pages = {830--853},
issn = {1939-1315, 0022-3514},
doi = {10.1037/pspp0000416},
urldate = {2022-05-30},
abstract = {Theories of belief system structure and dynamics assume that belief systems are a personlevel construct. However, measures of belief system structure do not measure the structure of person-level belief systems and instead measure aggregated belief system structure (e.g., the belief system in a particular country). In this paper, I show that a measure of conceptual similarity between attitudes and identities of a belief system works as a valid, reliable, flexible, and efficient measure of person-level belief system structure. In Studies 1 (N = 387) 2 (N = 389), and 3 (N = 598), I show conceptual similarity judgments are reliable and are related to measures of political engagement, political knowledge, attitude consistency, and preference congruence as predicted by computational models of belief system dynamics. In Studies 4 (N = 981) and 5 (N = 983), I show that conceptual similarity judgments are affected by partisan frames and that changes in conceptual similarity judgments are associated with attitude change as predicted by computational models of belief system dynamics. Conceptual similarity judgments can be used with a variety of attitudes and identities in easy to administer studies. It provides a tool to fill an empirical gap identified by theories of belief system dynamics.},
langid = {english},
file = {/Users/matthew/Zotero/storage/PFG4DR6X/brandt_2022_measuring.pdf}
}
@article{bringmann2016Assessing,
ids = {bringmann2016assessing},
title = {Assessing {{Temporal Emotion Dynamics Using Networks}}},
author = {Bringmann, Laura F. and Pe, Madeline L. and Vissers, Nathalie and Ceulemans, Eva and Borsboom, Denny and Vanpaemel, Wolf and Tuerlinckx, Francis and Kuppens, Peter},
year = {2016},
month = aug,
journal = {Assessment},
volume = {23},
number = {4},
pages = {425--435},
publisher = {{SAGE Publications Inc}},
issn = {1073-1911, 1552-3489},
doi = {10.1177/1073191116645909},
urldate = {2022-05-30},
abstract = {Multivariate psychological processes have recently been studied, visualized, and analyzed as networks. In this network approach, psychological constructs are represented as complex systems of interacting components. In addition to insightful visualization of dynamics, a network perspective leads to a new way of thinking about the nature of psychological phenomena by offering new tools for studying dynamical processes in psychology. In this article, we explain the rationale of the network approach, the associated methods and visualization, and illustrate it using an empirical example focusing on the relation between the daily fluctuations of emotions and neuroticism. The results suggest that individuals with high levels of neuroticism had a denser emotion network compared with their less neurotic peers. This effect is especially pronounced for the negative emotion network, which is in line with previous studies that found a denser network in depressed subjects than in healthy subjects. In sum, we show how the network approach may offer new tools for studying dynamical processes in psychology.},
langid = {english},
file = {/Users/matthew/Zotero/storage/APBF5RG2/bringmann2016assessing.pdf;/Users/matthew/Zotero/storage/ZIW6CWYD/1073191116645909.pdf}
}
@article{bringmann2019what,
ids = {bringmann2019whata},
title = {What Do Centrality Measures Measure in Psychological Networks?},
author = {Bringmann, Laura F. and Elmer, Timon and Epskamp, Sacha and Krause, Robert W. and Schoch, David and Wichers, Marieke and Wigman, Johanna T. W. and Snippe, Evelien},
year = {2019},
month = nov,
journal = {Journal of Abnormal Psychology},
volume = {128},
number = {8},
pages = {892--903},
issn = {1939-1846, 0021-843X},
doi = {10.1037/abn0000446},
urldate = {2022-05-30},
abstract = {In clinical psychology, networks of symptoms or affect states are increasingly used to study psychopathology. Such psychopathological networks are often further analyzed with centrality measures that indicate which symptoms or affect states are structurally important. We argue that the use of these centrality measures, which originally stem from social networks, is problematic in psychological networks, and propose several alternative ways forward.},
langid = {english},
file = {/Users/matthew/Zotero/storage/LF834UWA/bringmann2019what.pdf}
}
@article{burger2022reporting,
title = {Reporting Standards for Psychological Network Analyses in Cross-Sectional Data.},
author = {Burger, Julian and Isvoranu, Adela-Maria and Lunansky, Gabriela and Haslbeck, Jonas M.B. and Epskamp, Sacha and Hoekstra, Ria H. A. and Fried, Eiko I. and Borsboom, Denny and Blanken, Tessa F.},
year = {2022},
journal = {Psychological Methods},
issn = {1939-1463, 1082-989X},
doi = {10.1037/met0000471},
urldate = {2022-09-28},
langid = {english},
file = {/Users/matthew/Zotero/storage/W6GVSJS3/burger_2022_reporting.pdf}
}
@article{burton2021reconsidering,
title = {Reconsidering Evidence of Moral Contagion in Online Social Networks},
author = {Burton, Jason W. and Cruz, Nicole and Hahn, Ulrike},
year = {2021},
month = dec,
journal = {Nature Human Behaviour},
volume = {5},
number = {12},
pages = {1629--1635},
publisher = {{Nature Publishing Group}},
issn = {2397-3374},
doi = {10.1038/s41562-021-01133-5},
urldate = {2022-09-15},
abstract = {The ubiquity of social media use and the digital data traces it produces has triggered a potential methodological shift in the psychological sciences away from traditional, laboratory-based experimentation. The hope is that, by using computational social science methods to analyse large-scale observational data from social media, human behaviour can be studied with greater statistical power and ecological validity. However, current standards of null hypothesis significance testing and correlational statistics seem ill-suited to markedly noisy, high-dimensional social media datasets. We explore this point by probing the moral contagion phenomenon, whereby the use of moral-emotional language increases the probability of message spread. Through out-of-sample prediction, model comparisons and specification curve analyses, we find that the moral contagion model performs no better than an implausible XYZ contagion model. This highlights the risks of using purely correlational evidence from large observational datasets and sounds a cautionary note for psychology's merge with big data.},
copyright = {2021 The Author(s), under exclusive licence to Springer Nature Limited},
langid = {english},
keywords = {Psychology,Social sciences},
file = {/Users/matthew/Zotero/storage/7I462YYF/burton_2021_reconsider.pdf;/Users/matthew/Zotero/storage/VR7ZEIWG/s41562-021-01133-5.html}
}
@article{bushman2005chewing,
title = {Chewing on {{It Can Chew You Up}}: {{Effects}} of {{Rumination}} on {{Triggered Displaced Aggression}}},
shorttitle = {Chewing on {{It Can Chew You Up}}},
author = {Bushman, Brad J. and Bonacci, Angelica M. and Pedersen, William C. and Vasquez, Eduardo A. and Miller, Norman},
year = {2005},
journal = {Journal of Personality and Social Psychology},
volume = {88},
number = {6},
pages = {969--983},
publisher = {{American Psychological Association}},
address = {{US}},
issn = {1939-1315},
doi = {10.1037/0022-3514.88.6.969},
abstract = {Ruminating about a provocation increases the likelihood of displaced aggression following a minor annoyance (trigger). In Study 1, provoked participants who ruminated for 25 min were more aggressive toward a fumbling confederate than were distracted participants. Provocation-induced negative affect was positively related to aggression but only among those who ruminated. Study 2 conceptually replicated Study 1 and also found that the more negatively people reacted to the trigger, the more likely the trigger was to increase displaced aggression. Study 3 replicated the findings of Studies 1 and 2 by using an 8-hr rumination period. All 3 studies suggest that ruminating about a provocation increases the likelihood that a minor triggering annoyance will increase displaced aggression. (PsycINFO Database Record (c) 2016 APA, all rights reserved)},
keywords = {Aggressive Behavior,Rumination (Cognitive Process)},
file = {/Users/matthew/Zotero/storage/2PH7WJUL/bushman2005chewing.pdf;/Users/matthew/Zotero/storage/QIXHYX4N/2005-06516-006.html}
}
@article{cameron2015constructionist,
title = {A Constructionist Review of Morality and Emotions: {{No}} Evidence for Specific Links between Moral Content and Discrete Emotions},
shorttitle = {A Constructionist Review of Morality and Emotions},
author = {Cameron, C. Daryl and Lindquist, Kristen A. and Gray, Kurt},
year = {2015},
journal = {Personality and Social Psychology Review},
volume = {19},
number = {4},
pages = {371--394},
doi = {10.1177/1088868314566683},
file = {/Users/matthew/Zotero/storage/B9UGB5ZA/cameron2015constructionist.pdf}
}
@article{carpenter2021political,
title = {Political {{Polarization}} and {{Moral Outrage}} on {{Social Media}}},
author = {Carpenter, Jordan and Brady, William and Crockett, Molly and Weber, Rene and {Sinnott-Armstrong}, Walter},
year = {2021},
journal = {Connecticut Law Review},
volume = {52},
number = {3},
pages = {1107--1120},
langid = {english},
keywords = {⛔ No DOI found},
file = {/Users/matthew/Zotero/storage/AI6GUMBV/Political Polarization and Moral Outrage on Social Media.pdf;/Users/matthew/Zotero/storage/HNXYX33M/52ConnLRev.pdf}
}
@article{chapman2014trait,
ids = {chapman2014traitb},
title = {Trait Physical Disgust Is Related to Moral Judgments Outside of the Purity Domain.},
author = {Chapman, Hanah A. and Anderson, Adam K.},
year = {2014},
journal = {Emotion},
volume = {14},
number = {2},
pages = {341--348},
publisher = {{American Psychological Association (APA)}},
issn = {1931-1516, 1528-3542},
doi = {10.1037/a0035120},
urldate = {2022-05-25},
abstract = {Although there is an emerging consensus that disgust plays a role in human morality, it remains unclear whether this role is limited to transgressions that contain elements of physical disgust (e.g., gory murders, sexual crimes), or whether disgust is also involved in ``pure'' forms of morality. To address this issue, we examined the relationship between individual differences in the tendency to experience disgust toward physical stimuli (i.e., trait physical disgust) and reactions to pure moral transgressions. Across two studies, individuals higher in trait physical disgust judged moral transgressions to be more wrong than did their low-disgust counterparts, and were also more likely to moralize violations of social convention. Controlling for gender, trait anxiety, trait anger, and social conservatism did not eliminate trait disgust effects. These results suggest that disgust's role in morality is not limited to issues of purity or bodily norms, and that disgust may play a role in setting the boundaries of the moral domain.},
langid = {english},
file = {/Users/matthew/Zotero/storage/2IF6TEWW/chapman2014trait.pdf}
}
@incollection{chapman2018component,
ids = {chapman2018componenta},
title = {A {{Component Process Model}} of {{Disgust}}, {{Anger}}, and {{Moral Judgment}}},
booktitle = {Atlas of Moral Psychology},
author = {Chapman, Hanah A.},
editor = {Gray, Kurt and Graham, Jesse},
year = {2018},
pages = {70--80},
langid = {english}
}
@article{chatterjee2018vaping,
title = {Is Vaping a Gateway to Smoking: A Review of the Longitudinal Studies},
shorttitle = {Is Vaping a Gateway to Smoking},
author = {Chatterjee, Kshitij and Alzghoul, Bashar and Innabi, Ayoub and Meena, Nikhil},
year = {2018},
month = jun,
journal = {International Journal of Adolescent Medicine and Health},
volume = {30},
number = {3},
publisher = {{De Gruyter}},
issn = {2191-0278},
doi = {10.1515/ijamh-2016-0033},
urldate = {2023-01-10},
abstract = {Background: The use of e-cigarettes (ECs) is rising globally. There is concern that e-cigarette may actually lead to smoking, especially amongst adolescents. Objective: To perform a comprehensive review of literature reporting the longitudinal effects of e-cigarette use on onset of smoking among adolescents and young adults. Methods: A search was conducted using PubMed, Google Scholar, Scopus, and Web of Science in February 2016 to identify the studies containing data on EC use among adolescents and young adults (age\<30 years). We then narrowed our search to only include longitudinal studies with data on EC and conventional cigarette smoking among this population. Results: Four longitudinal studies were identified that analyzed the use of ECs and smoking at both baseline and follow-ups in the target population. These studies demonstrated that EC use is associated with an increase in combustible cigarette smoking, even amongst the adolescents who were not susceptible to smoking. Conclusion: This review highlights the strong evidence that not only are ECs are not an effective tool for smoking cessation among adolescents, they actually are associated with higher incidence of combustible cigarette smoking. Policy makers need to recognize of the insidious nature of this campaign by the tobacco industry and design policies to regulate it.},
langid = {english},
keywords = {adolescent,electronic cigarettes,smoking/psychology}
}
@article{chen2016temporal,
title = {Temporal Features of Black and White Neutral Words Processing after Moral Disgust Priming},
author = {Chen, Wei and Pu, Ming-hui and Feng, Shen-mei and Zhu, Jin-fu},
year = {2016},
month = oct,
journal = {Chinese Journal of Clinical Psychology},
volume = {24},
number = {5},
pages = {784--787},
publisher = {{Clinical Psychological Research Ctr}},
issn = {1005-3611},
abstract = {Objective: Discussing the time characteristics and neural mechanism of processing black and white neutral words after the activation of moral disgust, by applying event-related potential technique(ERPs) and semantic priming paradigm. Methods: Applied two-character word priming paradigm, which was presenting priming words(moral disgust words,non moral disgust words) first and then target words(black neutrals, white neutrals), and asking the participants to judge the character structure of target words. Processing feature was explored by investigating the differences in EEG indexes of different combinations. Results: Comparing to non moral disgust stimulations, black neutrals triggered greater N1 and N350 amplitudes after activation of moral disgust. Conclusion: Comparing to non moral disgust, after activation of moral disgust,black and white target words related to metaphor of moral concepts obtain more cognitive resources and more refined processing. After activation of moral disgust, individuals tend to relief and release disgust and maintain their favorable moral images by inclining to white, the metaphor of moral purity. (PsycINFO Database Record (c) 2017 APA, all rights reserved)},
keywords = {⛔ No DOI found,Black \& white metaphor,Disgust,Electroencephalography,ERPs,Evoked Potentials,Moral purifying,Priming}
}
@article{cheng2021effect,
title = {The Effect of Anger on Malevolent Creativity and Strategies for Its Emotion Regulation},
author = {Cheng, Rui and Lu, Kelong and Hao, Ning},
year = {2021},
journal = {Acta Psychologica Sinica},
volume = {53},
number = {8},
pages = {847},
issn = {0439-755X},
doi = {10.3724/SP.J.1041.2021.00847},
urldate = {2022-05-25},
abstract = {The current study aimed to explore the effect of anger on malevolent creativity and its underlying mechanisms and to determine whether such an effect could be modulated by strategies of emotional regulation. Experiment 1 compared the differences of malevolent creativity between individuals in anger, sadness, and neutral emotions and found that individuals in anger produced more and more novel malevolent ideas, emotional arousal, and implicit aggression mediate the effect of anger on the malevolent creative performance. Experiment 2 explored how different emotion regulation strategies (cognitive reappraisal, expressive inhibition) influenced the malevolent creative performance of angry individuals. It was found that the cognitive reappraisal group and the expression inhibition group had lower levels of malevolent creativity than the control group. Emotional arousal and implicit aggression mediated the effects of two kinds of emotion regulation strategies on malevolent creativity. These results suggest that anger promotes creativity by enhancing implicit aggression and emotional arousal, and the cognitive reappraisal and expression inhibition strategies can be used as effective strategies to weaken the malevolent creativity of the angry individuals.},
langid = {english},
file = {/Users/matthew/Zotero/storage/5EJL7PGC/cheng2021effect.pdf}
}
@article{chowdhry2015not,
title = {Not All Negative Emotions Lead to Concrete Construal},
author = {Chowdhry, Nivriti and Winterich, Karen Page and Mittal, Vikas and Morales, Andrea C.},
year = {2015},
month = dec,
journal = {International Journal of Research in Marketing},
volume = {32},
number = {4},
pages = {428--430},
issn = {0167-8116},
doi = {10.1016/j.ijresmar.2015.03.006},
urldate = {2021-05-27},
abstract = {Labroo and Patrick (2009) show that positively- (negatively-) valenced emotions are associated with a relatively more (less) abstract construal. However, similarly valenced emotions may differ on other dimensions, impacting construal level. Replicating Labroo and Patrick (2009), happiness is associated with a relatively more abstract construal than sadness. Extending their findings, disgust is associated with a relatively more abstract construal than sadness. This difference in construal level results in disgust and sadness impacting brand-extension judgments differently.},
langid = {english},
keywords = {Brand extension,Construal level,Disgust,Emotion,Happiness,Valence},
file = {/Users/matthew/Zotero/storage/D64VNR64/S0167811615000701.html}
}
@incollection{cosmides1994Origins,
ids = {cosmides1994origin,cosmides1994originsa},
title = {Origins of Domain Specificity: {{The}} Evolution of Functional Organization},
shorttitle = {Origins of Domain Specificity},
booktitle = {Mapping the {{Mind}}},
author = {Cosmides, Leda and Tooby, John},
editor = {Hirschfeld, Lawrence A. and Gelman, Susan A.},
year = {1994},
month = apr,
edition = {First},
pages = {85--116},
publisher = {{Cambridge University Press}},
doi = {10.1017/CBO9780511752902.005},
urldate = {2022-05-30},
isbn = {978-0-521-41966-6 978-0-521-42993-1 978-0-511-75290-2},
langid = {english},
file = {/Users/matthew/Zotero/storage/FYYKPMCU/cosmides1994origins.pdf;/Users/matthew/Zotero/storage/SK257R3Z/10.1.1.140.7758.pdf}
}
@article{costantini2015state,
title = {State of the {{aRt}} Personality Research: {{A}} Tutorial on Network Analysis of Personality Data in {{R}}},
shorttitle = {State of the {{aRt}} Personality Research},
author = {Costantini, Giulio and Epskamp, Sacha and Borsboom, Denny and Perugini, Marco and M{\~o}ttus, Ren{\'e} and Waldorp, Lourens J. and Cramer, Ang{\'e}lique O. J.},
year = {2015},
month = feb,
journal = {Journal of Research in Personality},
series = {R {{Special Issue}}},
volume = {54},
pages = {13--29},
issn = {0092-6566},
doi = {10.1016/j.jrp.2014.07.003},
urldate = {2021-10-06},
abstract = {Network analysis represents a novel theoretical approach to personality. Network approaches motivate alternative ways of analyzing data, and suggest new ways of modeling and simulating personality processes. In the present paper, we provide an overview of network analysis strategies as they apply to personality data. We discuss different ways to construct networks from typical personality data, show how to compute and interpret important measures of centrality and clustering, and illustrate how one can simulate on networks to mimic personality processes. All analyses are illustrated using a data set on the commonly used HEXACO questionnaire using elementary R-code that readers may easily adapt to apply to their own data.},
langid = {english},
keywords = {Centrality,Clustering,HEXACO,Latent variables,Network analysis,Personality traits,Psychometrics},
file = {/Users/matthew/Zotero/storage/AXDED5YM/costantini2015state.pdf;/Users/matthew/Zotero/storage/3Q82NZA5/S0092656614000701.html}
}
@article{cramer2010Comorbidity,
ids = {cramer2010comorbidity},
title = {Comorbidity: {{A}} Network Perspective},
shorttitle = {Comorbidity},
author = {Cramer, Ang{\'e}lique O. J. and Waldorp, Lourens J. and {van der Maas}, Han L. J. and Borsboom, Denny},
year = {2010},
month = jun,
journal = {Behavioral and Brain Sciences},
volume = {33},
number = {2-3},
pages = {137--150},
publisher = {{Cambridge University Press}},
issn = {0140-525X, 1469-1825},
doi = {10.1017/S0140525X09991567},
urldate = {2022-05-30},
abstract = {The pivotal problem of comorbidity research lies in the psychometric foundation it rests on, that is, latent variable theory, in which a mental disorder is viewed as a latent variable that causes a constellation of symptoms. From this perspective, comorbidity is a (bi)directional relationship between multiple latent variables. We argue that such a latent variable perspective encounters serious problems in the study of comorbidity, and offer a radically different conceptualization in terms of a network approach, where comorbidity is hypothesized to arise from direct relations between symptoms of multiple disorders. We propose a method to visualize comorbidity networks and, based on an empirical network for major depression and generalized anxiety, we argue that this approach generates realistic hypotheses about pathways to comorbidity, overlapping symptoms, and diagnostic boundaries, that are not naturally accommodated by latent variable models: Some pathways to comorbidity through the symptom space are more likely than others; those pathways generally have the same direction (i.e., from symptoms of one disorder to symptoms of the other); overlapping symptoms play an important role in comorbidity; and boundaries between diagnostic categories are necessarily fuzzy.},
langid = {english},
keywords = {comorbidity,complex networks,generalized anxiety,latent variable models,major depression},
file = {/Users/matthew/Zotero/storage/4SEJ3ZTA/cramer2010comorbidity.pdf;/Users/matthew/Zotero/storage/XN934VVZ/is-there-a-contradiction-between-the-network-and-latent-variable-perspectives-2.pdf;/Users/matthew/Zotero/storage/JXKS645N/4A9FE571B49A9150DFABCD5845EC0B3D.html}
}
@article{cramer2010complex,
title = {Complex Realities Require Complex Theories: {{Refining}} and Extending the Network Approach to Mental Disorders},
shorttitle = {Complex Realities Require Complex Theories},
author = {Cramer, Ang{\'e}lique O. J. and Waldorp, Lourens J. and {van der Maas}, Han L. J. and Borsboom, Denny},
year = {2010},
month = jun,
journal = {Behavioral and Brain Sciences},
volume = {33},
number = {2-3},
pages = {178--193},
publisher = {{Cambridge University Press}},
address = {{New York, United Kingdom}},
issn = {0140525X},
doi = {http://dx.doi.org/10.1017/S0140525X10000920},
urldate = {2021-05-23},
abstract = {The majority of commentators agree on one thing: Our network approach might be the prime candidate for offering a new perspective on the origins of mental disorders. In our response, we elaborate on refinements (e.g., cognitive and genetic levels) and extensions (e.g., to Axis II disorders) of the network model, as well as discuss ways to test its validity. [PUBLICATION ABSTRACT]},
copyright = {Copyright \textcopyright{} Cambridge University Press 2010},
langid = {english},
keywords = {Biology,Medical Sciences--Psychiatry And Neurology,Mental disorders,Morbidity,Psychology,Quantitative psychology},
file = {/Users/matthew/Zotero/storage/LIFPLJ5C/cramer2010complex.pdf}
}
@article{cramer2012dimensions,
title = {Dimensions of {{Normal Personality}} as {{Networks}} in {{Search}} of {{Equilibrium}}: {{You Can}}'t like {{Parties}} If You {{Don}}'t like {{People}}},
shorttitle = {Dimensions of {{Normal Personality}} as {{Networks}} in {{Search}} of {{Equilibrium}}},
author = {Cramer, Ang{\'e}lique O. J. and Van Der Sluis, Sophie and Noordhof, Arjen and Wichers, Marieke and Geschwind, Nicole and Aggen, Steven H. and Kendler, Kenneth S. and Borsboom, Denny},
year = {2012},
month = jul,
journal = {European Journal of Personality},
volume = {26},
number = {4},
pages = {414--431},
publisher = {{SAGE Publications Ltd}},
issn = {0890-2070},
doi = {10.1002/per.1866},
urldate = {2021-05-22},
abstract = {In one currently dominant view on personality, personality dimensions (e.g. extraversion) are causes of human behaviour, and personality inventory items (e.g. `I like to go to parties' and `I like people') are measurements of these dimensions. In this view, responses to extraversion items correlate because they measure the same latent dimension. In this paper, we challenge this way of thinking and offer an alternative perspective on personality as a system of connected affective, cognitive and behavioural components. We hypothesize that these components do not hang together because they measure the same underlying dimension; they do so because they depend on one another directly for causal, homeostatic or logical reasons (e.g. if one does not like people and it is harder to enjoy parties). From this `network perspective', personality dimensions emerge out of the connectivity structure that exists between the various components of personality. After outlining the network theory, we illustrate how it applies to personality research in four domains: (i) the overall organization of personality components; (ii) the distinction between state and trait; (iii) the genetic architecture of personality; and (iv) the relation between personality and psychopathology. Copyright \textcopyright{} 2012 John Wiley \& Sons, Ltd.},
langid = {english},
keywords = {latent variable models,networks,normal personality,personality traits},
file = {/Users/matthew/Zotero/storage/DK8AUNI5/cramer2012dimensions.pdf}
}
@article{csardi2006igraph,
title = {The Igraph Software Package for Complex Network Research},
author = {Csardi, Gabor and Nepusz, Tamas},
year = {2006},
journal = {InterJournal, Complex Systems},
volume = {1695},
number = {5},
pages = {1--9}
}
@article{cuijpers2020network,
title = {A Network Meta-Analysis of the Effects of Psychotherapies, Pharmacotherapies and Their Combination in the Treatment of Adult Depression},
author = {Cuijpers, Pim and Noma, Hisashi and Karyotaki, Eirini and H. Vinkers, Christiaan and Cipriani, Andrea and Furukawa, Toshi A.},
year = {2020},
journal = {World Psychiatry},
volume = {19},
number = {1},
pages = {92--107},
issn = {2051-5545},
doi = {10.1002/wps.20701},
urldate = {2021-05-18},
abstract = {No network meta-analysis has examined the relative effects of psychotherapies, pharmacotherapies and their combination in the treatment of adult depression, while this is a very important clinical issue. We conducted systematic searches in bibliographical databases to identify randomized trials in which a psychotherapy and a pharmacotherapy for the acute or long-term treatment of depression were compared with each other, or in which the combination of a psychotherapy and a pharmacotherapy was compared with either one alone. The main outcome was treatment response (50\% improvement between baseline and endpoint). Remission and acceptability (defined as study drop-out for any reason) were also examined. Possible moderators that were assessed included chronic and treatment-resistant depression and baseline severity of depression. Data were pooled as relative risk (RR) using a random-effects model. A total of 101 studies with 11,910 patients were included. Depression in most studies was moderate to severe. In the network meta-analysis, combined treatment was more effective than psychotherapy alone (RR=1.27; 95\% CI: 1.14-1.39) and pharmacotherapy alone (RR=1.25; 95\% CI: 1.14-1.37) in achieving response at the end of treatment. No significant difference was found between psychotherapy alone and pharmacotherapy alone (RR=0.99; 95\% CI: 0.92-1.08). Similar results were found for remission. Combined treatment (RR=1.23; 95\% CI: 1.05-1.45) and psychotherapy alone (RR=1.17; 95\% CI: 1.02-1.32) were more acceptable than pharmacotherapy. Results were similar for chronic and treatment-resistant depression. The combination of psychotherapy and pharmacotherapy seems to be the best choice for patients with moderate depression. More research is needed on long-term effects of treatments (including cost-effectiveness), on the impact of specific pharmacological and non-pharmacological approaches, and on the effects in specific populations of patients.},
copyright = {\textcopyright{} 2020 World Psychiatric Association},
langid = {english},
keywords = {acceptability,antidepressants,chronic depression,cognitive behavior therapy,combined treatment,Depression,interpersonal therapy,network meta-analysis,pharmacotherapy,psychotherapy,treatment-resistant depression},
file = {/Users/matthew/Zotero/storage/ABT3LZNS/cuijpers2020network.pdf;/Users/matthew/Zotero/storage/MXEIAMXU/wps.html}
}
@article{cunningham2007iterative,
title = {The {{Iterative Reprocessing Model}}: {{A Multilevel Framework}} for {{Attitudes}} and {{Evaluation}}},
shorttitle = {The {{Iterative Reprocessing Model}}},
author = {Cunningham, William A. and Zelazo, Philip David and Packer, Dominic J. and Van Bavel, Jay J.},
year = {2007},
month = oct,
journal = {Social Cognition},
volume = {25},
number = {5},
pages = {736--760},
issn = {0278-016X},
doi = {10.1521/soco.2007.25.5.736},
urldate = {2021-05-11},
langid = {english},
file = {/Users/matthew/Zotero/storage/SHV9VZU3/cunningham2007iterative.pdf}
}
@article{curry2019mapping,
title = {Mapping Morality with a Compass: {{Testing}} the Theory of `Morality-as-Cooperation' with a New Questionnaire},
shorttitle = {Mapping Morality with a Compass},
author = {Curry, Oliver Scott and Chesters, Matthew J. and Van Lissa, Caspar J.},
year = {2019},
month = feb,
journal = {Journal of Research in Personality},
volume = {78},
pages = {106--124},
issn = {0092-6566},
doi = {10.1016/j.jrp.2018.10.008},
urldate = {2021-05-26},
abstract = {Morality-as-Cooperation (MAC) is the theory that morality is a collection of biological and cultural solutions to the problems of cooperation recurrent in human social life. MAC uses game theory to identify distinct types of cooperation, and predicts that each will be considered morally relevant, and each will give rise to a distinct moral domain. Here we test MAC's predictions by developing a new self-report measure of morality, the Morality-as-Cooperation Questionnaire (MAC-Q), and comparing its psychometric properties to those of the Moral Foundations Questionnaire (MFQ). Over four studies, the results support the MAC-Q's seven-factor model of morality, but not the MFQ's five-factor model. Thus MAC emerges as the best available compass with which to explore the moral landscape.},
langid = {english},
keywords = {Cooperation,Game theory,Moral foundations,Morality,Scale development},
file = {/Users/matthew/Zotero/storage/V58LLZR6/curry2019mapping.pdf;/Users/matthew/Zotero/storage/HV4Z924T/S0092656618303568.html}
}
@article{cushman2006Role,
title = {The {{Role}} of {{Conscious Reasoning}} and {{Intuition}} in {{Moral Judgment}}: {{Testing Three Principles}} of {{Harm}}},
shorttitle = {The {{Role}} of {{Conscious Reasoning}} and {{Intuition}} in {{Moral Judgment}}},
author = {Cushman, Fiery and Young, Liane and Hauser, Marc},
year = {2006},
month = dec,
journal = {Psychological Science},
volume = {17},
number = {12},
pages = {1082--1089},
publisher = {{SAGE Publications Inc}},
issn = {0956-7976},
doi = {10.1111/j.1467-9280.2006.01834.x},
urldate = {2021-05-12},
abstract = {Is moral judgment accomplished by intuition or conscious reasoning? An answer demands a detailed account of the moral principles in question. We investigated three principles that guide moral judgments: (a) Harm caused by action is worse than harm caused by omission, (b) harm intended as the means to a goal is worse than harm foreseen as the side effect of a goal, and (c) harm involving physical contact with the victim is worse than harm involving no physical contact. Asking whether these principles are invoked to explain moral judgments, we found that subjects generally appealed to the first and third principles in their justifications, but not to the second. This finding has significance for methods and theories of moral psychology: The moral principles used in judgment must be directly compared with those articulated in justification, and doing so shows that some moral principles are available to conscious reasoning whereas others are not.},
file = {/Users/matthew/Zotero/storage/9YX9J2J8/cushman2006role.pdf}
}
@article{cushman2015deconstructing,
title = {Deconstructing Intent to Reconstruct Morality},
author = {Cushman, Fiery},
year = {2015},
month = dec,
journal = {Current Opinion in Psychology},
series = {Morality and Ethics},
volume = {6},
pages = {97--103},
issn = {2352-250X},
doi = {10.1016/j.copsyc.2015.06.003},
urldate = {2021-05-29},
abstract = {Mental state representations are a crucial input to human moral judgment. This fact is often summarized by saying that we restrict moral condemnation to `intentional' harms. This simple description is the beginning of a theory, however, not the end of one. There is rich internal structure to the folk concept of intentional action, which comprises a series of causal relations between mental states, actions and states of affairs in the world. Moral judgment shows nuanced patterns of sensitivity to all three of these elements: mental states (like beliefs and desires), the actions that a person performs, and the consequences of those actions. Deconstructing intentional action into its elemental fragments will enable future theories to reconstruct our understanding of moral judgment.},
langid = {english},
file = {/Users/matthew/Zotero/storage/CCVPLGY7/S2352250X15001657.html}
}
@article{cusimano2021morality,
ids = {cusimano2021moralitya},
title = {Morality Justifies Motivated Reasoning in the Folk Ethics of Belief},
author = {Cusimano, Corey and Lombrozo, Tania},
year = {2021},
month = apr,
journal = {Cognition},
volume = {209},
pages = {104513},
issn = {00100277},
doi = {10.1016/j.cognition.2020.104513},
urldate = {2022-05-30},
abstract = {When faced with a dilemma between believing what is supported by an impartial assessment of the evidence (e. g., that one's friend is guilty of a crime) and believing what would better fulfill a moral obligation (e.g., that the friend is innocent), people often believe in line with the latter. But is this how people think beliefs ought to be formed? We addressed this question across three studies and found that, across a diverse set of everyday situ\- ations, people treat moral considerations as legitimate grounds for believing propositions that are unsupported by objective, evidence-based reasoning. We further document two ways in which moral considerations affect how people evaluate others' beliefs. First, the moral value of a belief affects the evidential threshold required to believe, such that morally beneficial beliefs demand less evidence than morally risky beliefs. Second, people sometimes treat the moral value of a belief as an independent justification for belief, and on that basis, sometimes prescribe evidentially poor beliefs to others. Together these results show that, in the folk ethics of belief, morality can justify and demand motivated reasoning.},
langid = {english},
keywords = {Belief,Lay epistemics,Moral judgment,Motivated reasoning,Optimism},
file = {/Users/matthew/Zotero/storage/INNHE2MX/1-s2.0-S0010027720303322-main.pdf}
}
@article{dalege2016formalized,
title = {Toward a Formalized Account of Attitudes: {{The Causal Attitude Network}} ({{CAN}}) Model.},
shorttitle = {Toward a Formalized Account of Attitudes},
author = {Dalege, Jonas and Borsboom, Denny and {van Harreveld}, Frenk and {van den Berg}, Helma and Conner, Mark and {van der Maas}, Han L. J.},
year = {2016},
month = jan,
journal = {Psychological Review},
volume = {123},
number = {1},
pages = {2--22},
issn = {1939-1471, 0033-295X},
doi = {10.1037/a0039802},
urldate = {2021-05-22},
abstract = {This article introduces the Causal Attitude Network (CAN) model, which conceptualizes attitudes as networks consisting of evaluative reactions and interactions between these reactions. Relevant evaluative reactions include beliefs, feelings, and behaviors toward the attitude object. Interactions between these reactions arise through direct causal influences (e.g., the belief that snakes are dangerous causes fear of snakes) and mechanisms that support evaluative consistency between related contents of evaluative reactions (e.g., people tend to align their belief that snakes are useful with their belief that snakes help maintain ecological balance). In the CAN model, the structure of attitude networks conforms to a small-world structure: evaluative reactions that are similar to each other form tight clusters, which are connected by a sparser set of ``shortcuts'' between them. We argue that the CAN model provides a realistic formalized measurement model of attitudes and therefore fills a crucial gap in the attitude literature. Furthermore, the CAN model provides testable predictions for the structure of attitudes and how they develop, remain stable, and change over time. Attitude strength is conceptualized in terms of the connectivity of attitude networks and we show that this provides a parsimonious account of the differences between strong and weak attitudes. We discuss the CAN model in relation to possible extensions, implication for the assessment of attitudes, and possibilities for further study.},
langid = {english},
file = {/Users/matthew/Zotero/storage/47UQI8MC/dalege2016formalized.pdf}
}
@article{dalege2017networka,
title = {Network {{Analysis}} on {{Attitudes}}: {{A Brief Tutorial}}},
shorttitle = {Network {{Analysis}} on {{Attitudes}}},
author = {Dalege, Jonas and Borsboom, Denny and {van Harreveld}, Frenk and {van der Maas}, Han L. J.},
year = {2017},
month = jul,
journal = {Social Psychological and Personality Science},
volume = {8},
number = {5},
pages = {528--537},
publisher = {{SAGE Publications Inc}},
issn = {1948-5506, 1948-5514},
doi = {10.1177/1948550617709827},
urldate = {2022-05-30},
abstract = {In this article, we provide a brief tutorial on the estimation, analysis, and simulation on attitude networks using the programming language R. We first discuss what a network is and subsequently show how one can estimate a regularized network on typical attitude data. For this, we use open-access data on the attitudes toward Barack Obama during the 2012 American presidential election. Second, we show how one can calculate standard network measures such as community structure, centrality, and connectivity on this estimated attitude network. Third, we show how one can simulate from an estimated attitude network to derive predictions from attitude networks. By this, we highlight that network theory provides a framework for both testing and developing formalized hypotheses on attitudes and related core social psychological constructs.},