Centifanti LCM and Negen J. Strong evidence that callous–unemotional traits are not related to risk-taking task performance [version 1; peer review: 2 approved]. F1000Research 2018, 7:502 (https://doi.org/10.12688/f1000research.14623.1)
NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article.
1University of Liverpool, Liverpool, UK 2University of Durham, Durham, UK
Luna C. M. Centifanti
Roles:
Conceptualization,
Data Curation,
Formal Analysis,
Funding Acquisition,
Investigation,
Methodology,
Project Administration,
Writing – Original Draft Preparation,
Writing – Review & Editing
James Negen
Roles:
Conceptualization,
Formal Analysis,
Software,
Visualization,
Writing – Original Draft Preparation,
Writing – Review & Editing
OPEN PEER REVIEW
REVIEWER STATUS
Abstract
A hypothesized association between callous–unemotional (CU) traits and risk-taking may account for the link between CU traits and real-world risky behaviors, such as illegal behavior. Prior findings show that reward and punishment responsivity differs in relation to CU traits, but is not associated with general risk-taking. However this has only been examined previously with one task, only with a frequentist framework, and with limited interpretation. Here, we expand to another task and to Bayesian analyses. A total of 657 participants (52% female) completed the Inventory of Callous–Unemotional Traits, the Balloon Analogue Risk Task (essentially a gambling task), and the Stoplight driving task, which repeatedly presents participants with riskier or less risky choices to make while driving. We found strong evidence for the null model, in which there is no relation between the two risk-taking tasks and CU traits (R2 = 0.001; BF10 = 1/60.22). These results suggest that general risk-taking does not underlie the real-world risky behavior of people with CU traits. Alternative explanations include a different method of valuing certain outcomes.
Corresponding author:
Luna C. M. Centifanti
Competing interests:
No competing interests were disclosed.
Grant information:
The research presented here was possible with funding from the British Academy, project SG100982, given to the first author. No other funding sources were declared.
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Callous–unemotional (CU) traits are an aspect of psychopathy, which includes traits such as callously using others for one’s personal gain, a lack of caring for society’s values and lacking emotional depth1. Risk-taking includes choosing behaviors with uncertain outcomes (but possibly higher rewards) over behavior with more certainty in its rewards2. Here, we show that the two are unrelated when measured in a laboratory setting.
This is surprising for three reasons. First, a variety of risky real-world behaviors and illegal behaviors1—themselves risky—are associated with CU traits (e.g., substance use, sexual risk-taking)3–7. Second, there is a difference in reward and punishment responsivity in relation to CU traits4,6,8–12. For example, in a test of gambling, the Balloon Analogue Risk Task (BART), CU was related to weaker reward responsivity, in that adolescents with these traits failed to show an increase in risk-taking following successful (rewarded) trials4,13. Third, CU traits are one aspect of a cluster of traits known as psychopathy, which is associated with risk-taking14–16.
These data were originally collected as part of a study about the influence of peer presence on risk-taking behavior, with two laboratory tasks conducted13,17. CU traits were measured as a potential moderator. Results on the relationship between CU traits and a gambling task have been previously reported using frequentist methods, but the null finding failed to be interpreted13. Here, we re-analyze the data in a Bayesian framework, allowing for the relationship between CU traits and gambling to be interpreted. In addition, for the first time, we report our findings on the association between CU traits and a driving risk-taking task17.
Methods
Participants and tasks
A total of 675 people (52% female; 16–18 years of age) from six schools in Northwest England participated in 2010. Heads of schools acted in loco parentis, and verbal consent was obtained to ensure privacy, which was approved by the ethics committee, within the schools where the research was conducted. Ethical approval was given by the University of Central Lancashire to the first author (PSY0809122). Complete information about the sample and recruitment can be found in a previous report17.
A total of 657 participants produced usable data on all three measures reported here. The Inventory of Callous Unemotional Traits (ICU)18–20, a self-reporting questionnaire, was used to assess CU traits. The BART21, where participants can repeatedly gamble by pumping a balloon for greater reward but risk popping it and receiving no reward, was one measure of risk-taking. The Stoplight driving task22, where participants repeatedly choose to either enter yellow/red lights and risk time-consuming crashes or stop and then proceed on the green light, was also given in counterbalanced order as an additional risk-taking task. All three are standard choices that have been validated19,21,23. At the time of writing, the ICU and BART tasks can be obtained online, and the Stoplight can be obtained by contacting the authors22. Unrelated to the aims of the present study, participants were asked to bring two friends of the same gender and completed the tasks either in their presence or not.
Statistical analysis
MultiLevel Data Manipulations were conducted in MLwiN 2.30 (University of Bristol, 2014), resulting in an outcome variable for each task that was adjusted to be equated across peer group membership. Descriptive statistics, zero-order Perason correlations and p-values were calculated using JASP 0.8.2.024. An online tool was used to calculate Bayes factors25.
Results
Figure 1 shows scatterplots of the relations among the three variables. There was a significant zero-order correlation between the tasks, r=0.22, p<0.001, but not between the ICU scores and either the BART, r=0.033, p=0.397, N=657, BF10=1/8.09 or the driving task, r=0.013, p=0.738, N=672, BF10=1/11.00. More importantly, a multiple linear regression, with the risk-taking tasks predicting ICU scores, showed no significant relation to the BART, β=0.033, t=0.824, p=0.410, or the driving task, β= -0.000, t= -0.012, p=0.990. The overall fit was F (2, 654)=0.359, p=0.698; R2=0.001, R=0.033, N=657, BF10=1/60.22. In a Bayesian analysis, this is considered strong evidence for the null hypothesis25,26.
Figure 1. Scatterplots of the relations among the three variables.
Scores were adjusted for peer-level clustering, since participants were recruited with two friends.
We also examined the comparability of our sample to others. The mean ± SD for total ICU (21.62 ± 7.85) was comparable to previous community and at-risk samples. For example, our scores were similar to those from a community sample (male, 25.25 ± 7.90; female, 21.76 ± 9.4)27, as well as to youths from a residential facility (25.74 ± 7.95)28.
Condition_peers absent
Subject ID
Female
Age
BART Pumps AdjAvg_raw data
Peer group level adjusted BART Pumps
Peer ID
Stoplight Intersections_raw data
Peer group level adjusted Stoplight
Total ICU
0
1
0
17
1
12
34
0
2
0
17
1
12
12
27
0
3
0
17
1
12
13
1
4
1
17
2
12
7.3333
18
1
5
1
16
2
9
7.3333
25
1
6
1
17
2
6
7.3333
20
1
7
1
17
3
11
7.3333
22
1
8
1
17
3
2
7.3333
13
1
9
1
18
3
4
7.3333
27
0
10
1
16
23.88
4
7.6667
25
0
11
1
16
23.88
4
7.6667
28
0
12
1
17
23.88
4
8
7.6667
22
0
13
0
16
23.88
5
7.6667
20
0
14
0
16
23.88
5
7.6667
27
0
15
0
16
23.88
5
6
7.6667
32
0
16
1
17
23.88
23.88
6
9
7.6667
11
0
17
1
17
23.88
6
7.6667
11
0
18
1
17
23.88
6
7.6667
15
1
19
1
17
6.07143
21.0722
7
10
11.33333
23
1
20
1
17
13.6667
21.0722
7
15
11.33333
12
1
21
1
17
28.12
21.0722
7
14
11.33333
17
1
22
1
17
15.2222
21.0722
8
10
11.33333
26
1
23
1
17
25.08
21.0722
8
2
11.33333
18
1
24
1
17
38.2727
21.0722
8
17
11.33333
18
0
25
1
17
38.0435
38.0435
9
10
10
36
0
26
1
17
38.0435
9
10
33
0
27
1
18
38.0435
9
10
6
1
28
0
17
45.1
35.2515
10
11
11.33333
14
1
29
0
17
17.8
35.2515
10
18
11.33333
21
1
30
0
17
55.25
35.2515
10
4
11.33333
29
1
31
1
17
28.7083
35.2515
12
8
11.33333
14
1
32
1
17
13.963
35.2515
12
7
11.33333
18
1
33
1
17
50.6875
35.2515
12
20
11.33333
16
0
34
0
17
12.9655
12.9655
11
11
11
19
0
35
0
17
12.9655
11
11
30
0
36
0
17
12.9655
11
11
25
1
37
1
17
30.7917
34.7654
13
14
11
24
1
38
1
16
22.2692
34.7654
13
12
11
12
1
39
1
17
51.2353
34.7654
13
7
11
28
0
40
1
17
31.327
14
12.5
10
0
41
1
16
32.9583
31.327
14
15
12.5
19
0
42
1
17
31.327
14
12.5
24
0
43
1
16
31.327
15
12.5
16
0
44
1
16
29.6957
31.327
15
10
12.5
17
0
45
1
16
31.327
15
12.5
17
1
46
0
18
30.7037
31.1899
16
13
12
29
1
47
0
18
30.04
31.1899
16
10
12
25
1
48
0
18
32.8261
31.1899
16
13
12
39
0
49
0
17
17
18
0
50
0
17
17
22
0
51
0
18
17
25
1
52
1
16
20.6923
18.3988
18
4
3.3333
16
1
53
1
16
20.3929
18.3988
18
3
3.3333
12
1
54
1
16
14.1111
18.3988
18
3
3.3333
35
0
55
1
17
28.88
19
10
24
0
56
1
16
28.88
19
10
24
0
57
1
16
28.88
28.88
19
10
10
21
1
58
1
18
28.4444
29.7761
20
11
7.625
14
1
59
1
17
31.087
29.7761
20
12
7.625
23
1
60
1
19
28.7407
29.7761
20
11
7.625
21
1
61
1
16
41.2778
29.7761
21
7
7.625
11
1
62
1
17
29.7761
21
7.625
11
1
63
1
17
15.4815
29.7761
21
4
7.625
9
1
64
0
18
29.48
29.7761
23
5
7.625
28
1
65
0
17
35.9565
29.7761
23
4
7.625
28
1
66
0
17
27.7407
29.7761
23
7
7.625
30
0
67
1
16
39.8095
30.0201
22
5
5
23
0
68
1
18
30.0201
22
5
17
0
69
1
17
30.0201
22
5
17
0
70
0
16
20.2308
30.0201
24
5
5
13
0
71
0
16
30.0201
24
5
21
0
72
0
16
30.0201
24
5
23
1
73
1
17
19.9231
17.8218
25
8
5.3333
14
1
74
1
18
4.72414
17.8218
25
3
5.3333
7
1
75
1
18
28.8182
17.8218
25
5
5.3333
13
0
76
0
18
17.7692
26
4
34
0
77
0
18
17.7692
17.7692
26
4
4
31
0
78
0
18
17.7692
26
4
23
1
79
1
18
23.5
37.9705
27
7
10.16667
18
1
80
1
17
21.7037
37.9705
27
11
10.16667
24
1
81
1
17
39.8696
37.9705
27
13
10.16667
26
1
82
0
16
53.6667
37.9705
28
7
10.16667
34
1
83
0
16
43.75
37.9705
28
13
10.16667
13
1
84
0
16
45.3333
37.9705
28
10
10.16667
31
0
85
1
17
13.5
29
5
20
0
86
1
16
13.5
13.5
29
5
5
19
0
87
1
19
13.5
29
5
5
1
88
0
19
52.1429
36.0989
32
9
8.3333
18
1
89
0
16
27
36.0989
32
8
8.3333
22
1
90
0
16
29.1538
36.0989
32
8
8.3333
33
0
91
1
16
38.7
28.725
30
5
5.5
16
0
92
1
18
28.725
30
5.5
18
0
93
1
16
28.725
30
5.5
15
0
94
0
18
28.725
31
5.5
21
0
95
0
17
18.75
28.725
31
6
5.5
28
0
96
0
17
28.725
31
5.5
22
1
97
0
17
33.0909
31.6607
34
9
6.6667
35
1
98
0
17
45.7059
31.6607
34
6
6.6667
24
1
99
0
18
16.1852
31.6607
34
5
6.6667
27
0
100
1
16
13.5926
30.4247
33
2
11.33333
11
0
101
1
16
30.4247
33
11.33333
13
0
102
1
16
30.4247
33
11.33333
14
0
103
0
17
30.4247
35
11.33333
21
0
104
0
17
30.4247
35
11.33333
16
0
105
0
17
40.05
30.4247
35
17
11.33333
24
0
106
0
17
37.6316
30.4247
36
15
11.33333
13
0
107
0
17
30.4247
36
11.33333
33
0
108
0
17
30.4247
36
11.33333
17
1
109
1
17
22.8333
34.868
37
7
8.8889
20
1
110
1
17
39.1
34.868
37
10
8.8889
9
1
111
1
17
33.1
34.868
37
14
8.8889
18
1
112
1
17
29.9048
34.868
38
2
8.8889
18
1
113
1
16
25.7308
34.868
38
10
8.8889
16
1
114
1
16
23.8333
34.868
38
1
8.8889
15
1
115
0
16
57.0588
34.868
39
15
8.8889
23
1
116
0
16
39.4091
34.868
39
12
8.8889
20
1
117
0
16
42.8421
34.868
39
9
8.8889
34
0
118
1
17
32.6522
32.6522
40
9
9
10
0
119
1
17
32.6522
40
9
21
0
120
1
17
32.6522
40
9
19
1
121
0
18
53.2353
46.7951
43
9
12
13
1
122
0
17
46
46.7951
43
10
12
16
1
123
0
18
41.15
46.7951
43
17
12
21
0
124
1
17
35.1572
41
9
12
0
125
1
17
35.1572
41
9
19
0
126
1
17
37.9565
35.1572
41
16
9
17
0
127
0
16
35.1572
42
9
17
0
128
0
16
30.3182
35.1572
42
12
9
34
0
129
0
17
35.1572
42
9
16
0
130
1
17
36.5714
35.1572
44
4
9
24
0
131
1
17
35.1572
44
9
20
0
132
1
16
35.1572
44
9
32
0
133
0
16
35.1572
46
9
11
0
134
0
16
35.1572
46
9
21
0
135
0
16
35.7826
35.1572
46
4
9
25
1
136
1
5.85185
25.2181
47
10
9
9
1
137
1
16
39
25.2181
47
6
9
14
1
138
1
16
31.875
25.2181
47
13
9
14
1
139
1
16
17.6296
25.2181
45
10
9
22
1
140
1
16
13.8519
25.2181
45
4
9
25
1
141
1
18
43.1
25.2181
45
11
9
17
0
142
1
19
25.68
48
6
26
0
143
1
17
25.68
25.68
48
6
6
31
0
144
1
18
25.68
48
6
35
1
145
1
16
23.56
29.173
162
13
6.1667
14
1
146
1
17
24.375
29.173
162
9
6.1667
30
1
147
1
17
37.1429
29.173
162
7
6.1667
25
1
148
1
17
25.96
29.173
161
1
6.1667
20
1
149
1
17
30
29.173
161
4
6.1667
24
1
150
1
17
34
29.173
161
3
6.1667
20
0
151
0
17
29.3333
29.3333
49
6
6
20
0
152
0
17
29.3333
49
6
24
0
153
0
18
29.3333
49
6
29
1
154
1
17
33.5909
29.0164
50
2
7
24
1
155
1
17
25
29.0164
50
10
7
30
1
156
1
17
28.4583
29.0164
50
9
7
16
0
157
1
17
18.1111
51
9
31
0
158
1
17
18.1111
51
9
25
0
159
1
17
18.1111
18.1111
51
9
9
13
1
160
1
16
13.8148
15.2716
52
8
10.33333
25
1
161
1
16
19.9286
15.2716
52
15
10.33333
15
1
162
1
16
12.0714
15.2716
52
8
10.33333
18
0
163
1
16
20.3704
20.3704
54
6
6
21
0
164
1
16
20.3704
54
6
26
0
165
1
16
20.3704
54
6
15
1
166
0
17
37.5238
33.7983
53
7
8.6667
35
1
167
0
17
35.4545
33.7983
53
10
8.6667
34
1
168
0
18
28.4167
33.7983
53
9
8.6667
9
0
169
0
17
32.4
32.4
55
10
10
29
0
170
0
18
32.4
55
10
37
0
171
0
18
32.4
55
10
28
1
172
1
16
37.1905
33.5425
56
3
7.6
6
1
173
1
16
23.16
33.5425
56
8
7.6
22
1
174
1
16
34.5652
33.5425
56
10
7.6
7
1
175
0
16
26.6538
33.5425
58
4
7.6
17
1
176
0
46.1429
33.5425
58
13
7.6
18
0
177
1
18
12.8276
57
7
25
0
178
1
18
12.8276
57
7
25
0
179
1
18
12.8276
12.8276
57
7
7
20
1
180
0
16
24.44
24.44
58
14
14
11
0
181
1
19
34.6957
59
9
18
0
182
1
17
34.6957
34.6957
59
9
9
32
0
183
1
17
34.6957
59
9
27
1
184
1
17
31.9545
31.8836
60
14
10.83333
14
1
185
1
17
26.9091
31.8836
60
17
10.83333
10
1
186
1
17
26.4583
31.8836
60
5
10.83333
16
1
187
0
17
32.875
31.8836
61
13
10.83333
29
1
188
0
17
39.65
31.8836
61
8
10.83333
16
1
189
0
18
33.4545
31.8836
61
8
10.83333
28
0
190
0
18
22.76
63
15
19
0
191
0
18
22.76
22.76
63
15
15
24
0
192
0
18
22.76
63
15
23
1
193
0
17
37.0476
43.9661
62
12
8.6667
21
1
194
0
18
36.1364
43.9661
62
7
8.6667
15
1
195
0
19
58.7143
43.9661
62
7
8.6667
25
0
196
0
17
22.7952
64
11.5
22
0
197
0
17
29.1905
22.7952
64
11
11.5
23
0
198
0
17
22.7952
64
11.5
20
0
199
1
18
16.4
22.7952
66
12
11.5
23
This is a portion of the data; to view all the data, please download the file.
Dataset 1.Dataset 1. Subject demographic information, together with Inventory of Callous–Unemotional Traits score and results of the tasks.
http://dx.doi.org/10.5256/f1000research.14623.d201818Data are provided in raw form and peer-level adjusted format within the same spreadsheet29. Condition: peer present, 1; peer absent, 0; Subject ID, anonymized participant ID number; Female: female gender, 1; male gender, 0; Age, age in years; BART Pumps AdjAvg_raw data, adjusted average pumps; Peer group level adjusted BART Pumps, peer-group level-adjusted adjusted average pumps; Peer ID, peer group membership ID number; Stoplight Intersections_raw data, number of intersections entered on the Stoplight driving task; Peer group level adjusted Stoplight, peer-group level-adjusted number of intersections entered on the Stoplight driving task; Total ICU, number of CU traits using the Inventory of Callous-Unemotional Traits.
Discussion
The results of this study rule out a specific theory about why CU traits are related to risky real-world behaviors including illegal behavior. People with CU traits are not more likely to engage in risky behavior in a lab setting, so real-world risky behaviors are unlikely to be driven by risk-seeking for its own sake. More broadly, this is a worked demonstration that differences in reward and punishment responsivity on a task do not necessarily imply differences in overall risk-taking, even in the same dataset. On the basis of previously reported findings13,17 and our re-analyses, we conclude that these two concepts should not be used interchangeably in interpreting risk-taking results.
There are potential alternative explanations for why people with high CU traits tend to do risky things, like having unprotected sex. For one, they may simply place different values on the outcomes of catching a disease and/or seeking bodily sensations. However, an interaction between CU traits and antisocial behavior (i.e., conduct disorder) has shown effects on laboratory risk-taking23. One broad possibility is that CU traits do not operate singly, since psychopathy is multifaceted, and some factors of psychopathy appear to be more reliably related to risk taking than others14,30.
People who engage in antisocial behavior suffer legal, educational and socio-economic consequences31, and we know CU traits predict antisocial behavior32,33. Thus, further research is needed to understand the mechanisms by which people with CU traits (i) engage in antisocial behavior, and (ii) fail to care about the consequences of their behavior on themselves and on other people. The present study sheds light on one part of this, by showing that one obvious idea of how CU traits and illegal behavior relate is not tenable.
Data availability
Dataset 1. Subject demographic information, together with Inventory of Callous–Unemotional Traits score and results of the tasks. Data are provided in raw form and peer-level adjusted format within the same spreadsheet29. Condition: peer present, 1; peer absent, 0; Subject ID, anonymized participant ID number; Female: female gender, 1; male gender, 0; Age, age in years; BART Pumps AdjAvg_raw data, adjusted average pumps; Peer group level adjusted BART Pumps, peer-group level-adjusted adjusted average pumps; Peer ID, peer group membership ID number; Stoplight Intersections_raw data, number of intersections entered on the Stoplight driving task; Peer group level adjusted Stoplight, peer-group level-adjusted number of intersections entered on the Stoplight driving task; Total ICU, number of CU traits using the Inventory of Callous-Unemotional Traits.
The research presented here was possible with funding from the British Academy, project SG100982, given to the first author. No other funding sources were declared.
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Acknowledgements
The authors wish to acknowledge the help of Dr Susanne MacLellan, who assisted with data collection. Thanks, also, to Helen Gowling and Jo McBoyle, who assisted with coding and data entry.
Faculty Opinions recommended
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The research presented here was possible with funding from the British Academy, project SG100982, given to the first author. No other funding sources were declared.
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Centifanti LCM and Negen J. Strong evidence that callous–unemotional traits are not related to risk-taking task performance [version 1; peer review: 2 approved]. F1000Research 2018, 7:502 (https://doi.org/10.12688/f1000research.14623.1)
NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article.
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Key to Reviewer Statuses
VIEWHIDE
ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations
A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions
Stickle T, Gill A, Dobbins A and Falcon A. Reviewer Report For: Strong evidence that callous–unemotional traits are not related to risk-taking task performance [version 1; peer review: 2 approved]. F1000Research 2018, 7:502 (https://doi.org/10.5256/f1000research.15914.r33543)
This is an interesting research note and is likely to contribute to the literature. There are, however, several areas that need elaboration or clarification to better communicate the findings and their contribution.
Use of Bayesian analysis in
... Continue reading
This is an interesting research note and is likely to contribute to the literature. There are, however, several areas that need elaboration or clarification to better communicate the findings and their contribution.
Use of Bayesian analysis in a reasonably large sample adds strength to the authors interpretation of null findings.
Clarification about some detail of the Bayesian analysis for the reader would be helpful and should include:
How was the prior selected and what was used for the prior distribution?
Was it a noninformative or an informative prior?
Was sensitivity analysis conducted to gauge the effect of the prior?
It is worth noting that the sample is reasonably large, so the effect of the prior on at least some parameters may be small. Nevertheless, it would be helpful for the authors to note the effect of sample size on prior and posterior probabilities.
In the first paragraph of the Discussion section, the authors make a strong declarative statement that the results “…rule out a specific theory about why CU traits are related to risky real-world behaviors... People with CU traits are not more likely to engage in risky behavior in a lab setting, so real-world risky behaviors are unlikely to be driven by risk-seeking for its own sake.”
Although the following statements regarding caution in generalizing reward and punishment processing in laboratory tasks to behavior outside the lab clearly are warranted, the above statements seem a step too far. That is, the results clearly cast some doubt on the links and mechanisms of risk. The notion that the finding is conclusive, however, does not seem warranted. Rather, it is recommended that the authors use language to indicate that the current results fail to support links between the specific measure of risk used here and CU traits. It is a reasonable inference to note that the presence of CU traits alone and documented mechanisms of reward and punishment processing are not de facto predictors of risk. It seems more defensible to state something more akin to noting that the currents results call for reexamination of the mechanisms thought to link CU traits and risky behaviors.
In extending these recommended comments, it would also be helpful for the authors to synthesize the discussion paragraphs a bit more in their discussion of the multifaceted/multidimensional nature of psychopathy and the implications of the broader psychopathy construct in understanding risk and its mechanisms.
Overall, the paper is interesting and the above comments are offered in the spirit of strengthening how the results are communicated.
Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Partly
Competing Interests: No competing interests were disclosed.
We confirm that we have read this submission and believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.
Stickle T, Gill A, Dobbins A and Falcon A. Reviewer Report For: Strong evidence that callous–unemotional traits are not related to risk-taking task performance [version 1; peer review: 2 approved]. F1000Research 2018, 7:502 (https://doi.org/10.5256/f1000research.15914.r33543)
Garofalo C. Reviewer Report For: Strong evidence that callous–unemotional traits are not related to risk-taking task performance [version 1; peer review: 2 approved]. F1000Research 2018, 7:502 (https://doi.org/10.5256/f1000research.15914.r33540)
Thanks for the opportunity to review this manuscript. The study described has important strengths, such as the large sample, the use of well-validated assessment methods, and the sophisticated statistical techniques. I also extremely appreciate the fact that full data are
... Continue reading
Thanks for the opportunity to review this manuscript. The study described has important strengths, such as the large sample, the use of well-validated assessment methods, and the sophisticated statistical techniques. I also extremely appreciate the fact that full data are made available, something that happens too rarely to the detriment of the field. The topic is certainly an important one, and one that historically attracts speculations that permeates popular beliefs on the nature and dynamics of callous-unemotional traits. I therefore think that the publication of (null) findings like this is imperative as to not fuel misconceptions on the topic.
While I am therefore clearly positive regarding this submission, I also list below some issues that occurred to me while reading the manuscript, which I think may deserve further elaboration to strengthen the contribution of this study to the literature. I suspect that the writing was constrained by length limits, which could make it impossible to address my suggestions thoroughly, but I thought I would nevertheless mention what I believe could further improve this well-executed and well-written study.
It is clear to me that the findings do not support the hypothesis that CU traits are related to risk taking. But I could not tell: who proposed this link, and whether this hypothesis also guided the present research. I think it would help situate the present study within the broader literature on CU if the manuscript could (briefly) refer whether the CU-risk taking link was just one that ‘makes sense’, or one that is central in existing theories of CU (e.g., in the opening of the discussion, it is stated that the present study rules out a ‘specific theory’, but it is unclear which theory is referred to). I think this is important because such theories would have to be re-considered in light of this null finding (as opposed to the scenario in which the CU-risk taking link is more of a popular misconceptions with no footing in scholarly work). Relatedly, as I find the alternative explanation (i.e., ‘a different method of valuing certain outcomes’) equally – if not more – compelling, I think it would be helpful to know whether this possibility was already acknowledged before the study was conducted, or followed the null findings that did not support the initial hypothesis.
A second conceptual clarification that may be needed concern the overlap and dissociation between reward/punishment sensitivity and risk-taking. This seems relevant to understand specific abnormalities related to CU traits and what they can mean. Related to this – it looks like CU traits were also not related in punishment sensitivity, if I am not misunderstanding. If that is the case, how does this null finding aligns with existing theories of psychopathy such as the low-fear hypothesis or the response modulation model?
For non-familiar readers (as myself), it may be worth expanding on how the Bayesian framework adopted allows for an interpretation of the null finding in a way that frequentist methods would not (also just a brief mention of why the overall fit can be considered strong evidence of null hypothesis).
I cannot help but wonder what the results look like if the ICU is examined at a sub-scale level. I do not expect differences, but I think it is important to rule out that the overall null effect is not due to differential associations between ICU subscales and risk-taking.
Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Clinical forensic psychology
I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.
Garofalo C. Reviewer Report For: Strong evidence that callous–unemotional traits are not related to risk-taking task performance [version 1; peer review: 2 approved]. F1000Research 2018, 7:502 (https://doi.org/10.5256/f1000research.15914.r33540)
Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations -
A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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Centifanti LCM and Negen J. Dataset 1 in: Strong evidence that callous–unemotional traits are not related to risk-taking task performance. F1000Research 2018, 7:502 (https://doi.org/10.5256/f1000research.14623.d201818)
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