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Research Note
Reanalysis

Strong evidence that callous–unemotional traits are not related to risk-taking task performance

[version 1; peer review: 2 approved]
PUBLISHED 26 Apr 2018
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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.

Keywords

Callous–unemotional traits, risk taking, decision making, driving, gambling, Bayesian, re-analysis

Introduction

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)37. Second, there is a difference in reward and punishment responsivity in relation to CU traits4,6,812. 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-taking1416.

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)1820, 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.

81166cdc-cd11-4d21-b0bf-89e68d28ec6c_figure1.gif

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 absentSubject IDFemaleAgeBART Pumps AdjAvg_raw dataPeer group level adjusted BART PumpsPeer IDStoplight Intersections_raw dataPeer group level adjusted StoplightTotal ICU
010171 1234
020171121227
030171 1213
141172127.333318
15116297.333325
16117267.333320
171173117.333322
18117327.333313
19118347.333327
01011623.884 7.666725
01111623.884 7.666728
01211723.88487.666722
01301623.885 7.666720
01401623.885 7.666727
01501623.88567.666732
01611723.8823.88697.666711
01711723.886 7.666711
01811723.886 7.666715
1191176.0714321.072271011.3333323
12011713.666721.072271511.3333312
12111728.1221.072271411.3333317
12211715.222221.072281011.3333326
12311725.0821.07228211.3333318
12411738.272721.072281711.3333318
02511738.043538.04359101036
02611738.04359 1033
02711838.04359 106
12801745.135.2515101111.3333314
12901717.835.2515101811.3333321
13001755.2535.251510411.3333329
13111728.708335.251512811.3333314
13211713.96335.251512711.3333318
13311750.687535.2515122011.3333316
03401712.965512.965511111119
03501712.965511 1130
03601712.965511 1125
13711730.791734.765413141124
13811622.269234.765413121112
13911751.235334.76541371128
04011731.32714 12.510
04111632.958331.327141512.519
04211731.32714 12.524
04311631.32715 12.516
04411629.695731.327151012.517
04511631.32715 12.517
14601830.703731.189916131229
14701830.0431.189916101225
14801832.826131.189916131239
04901717 18
05001717 22
05101817 25
15211620.692318.39881843.333316
15311620.392918.39881833.333312
15411614.111118.39881833.333335
05511728.8819 1024
05611628.8819 1024
05711628.8828.8819101021
15811828.444429.776120117.62514
15911731.08729.776120127.62523
16011928.740729.776120117.62521
16111641.277829.77612177.62511
16211729.776121 7.62511
16311715.481529.77612147.6259
16401829.4829.77612357.62528
16501735.956529.77612347.62528
16601727.740729.77612377.62530
06711639.809530.0201225523
06811830.020122 517
06911730.020122 517
07001620.230830.0201245513
07101630.020124 521
07201630.020124 523
17311719.923117.82182585.333314
1741184.7241417.82182535.33337
17511828.818217.82182555.333313
07601817.769226 434
07701817.769217.7692264431
07801817.769226 423
17911823.537.970527710.1666718
18011721.703737.9705271110.1666724
18111739.869637.9705271310.1666726
18201653.666737.970528710.1666734
18301643.7537.9705281310.1666713
18401645.333337.9705281010.1666731
08511713.529 520
08611613.513.5295519
08711913.529 55
18801952.142936.09893298.333318
1890162736.09893288.333322
19001629.153836.09893288.333333
09111638.728.7253055.516
09211828.72530 5.518
09311628.72530 5.515
09401828.72531 5.521
09501718.7528.7253165.528
09601728.72531 5.522
19701733.090931.66073496.666735
19801745.705931.66073466.666724
19901816.185231.66073456.666727
010011613.592630.424733211.3333311
010111630.424733 11.3333313
010211630.424733 11.3333314
010301730.424735 11.3333321
010401730.424735 11.3333316
010501740.0530.4247351711.3333324
010601737.631630.4247361511.3333313
010701730.424736 11.3333333
010801730.424736 11.3333317
110911722.833334.8683778.888920
111011739.134.86837108.88899
111111733.134.86837148.888918
111211729.904834.8683828.888918
111311625.730834.86838108.888916
111411623.833334.8683818.888915
111501657.058834.86839158.888923
111601639.409134.86839128.888920
111701642.842134.8683998.888934
011811732.652232.6522409910
011911732.652240 921
012011732.652240 919
112101853.235346.79514391213
11220174646.795143101216
112301841.1546.795143171221
012411735.157241 912
012511735.157241 919
012611737.956535.15724116917
012701635.157242 917
012801630.318235.15724212934
012901735.157242 916
013011736.571435.1572444924
013111735.157244 920
013211635.157244 932
013301635.157246 911
013401635.157246 921
013501635.782635.1572464925
113615.8518525.2181471099
11371163925.2181476914
113811631.87525.21814713914
113911617.629625.21814510922
114011613.851925.2181454925
114111843.125.21814511917
014211925.6848 626
014311725.6825.68486631
014411825.6848 635
114511623.5629.173162136.166714
114611724.37529.17316296.166730
114711737.142929.17316276.166725
114811725.9629.17316116.166720
11491173029.17316146.166724
11501173429.17316136.166720
015101729.333329.3333496620
015201729.333349 624
015301829.333349 629
115411733.590929.0164502724
11551172529.01645010730
115611728.458329.0164509716
015711718.111151 931
015811718.111151 925
015911718.111118.1111519913
116011613.814815.271652810.3333325
116111619.928615.2716521510.3333315
116211612.071415.271652810.3333318
016311620.370420.3704546621
016411620.370454 626
016511620.370454 615
116601737.523833.79835378.666735
116701735.454533.798353108.666734
116801828.416733.79835398.66679
016901732.432.455101029
017001832.455 1037
017101832.455 1028
117211637.190533.54255637.66
117311623.1633.54255687.622
117411634.565233.542556107.67
117501626.653833.54255847.617
1176046.142933.542558137.618
017711812.827657 725
017811812.827657 725
017911812.827612.8276577720
118001624.4424.4458141411
018111934.695759 918
018211734.695734.6957599932
018311734.695759 927
118411731.954531.8836601410.8333314
118511726.909131.8836601710.8333310
118611726.458331.883660510.8333316
118701732.87531.8836611310.8333329
118801739.6531.883661810.8333316
118901833.454531.883661810.8333328
019001822.7663 1519
019101822.7622.7663151524
019201822.7663 1523
119301737.047643.966162128.666721
119401836.136443.96616278.666715
119501958.714343.96616278.666725
019601722.795264 11.522
019701729.190522.7952641111.523
019801722.795264 11.520
019911816.422.7952661211.523
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.

DOI: 10.5256/f1000research.14623.d20181829

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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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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
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PUBLISHED 26 Apr 2018
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Reviewer Report 11 May 2018
Timothy Stickle, Department of Psychological Science, University of Vermont, Burlington, VT, USA 
Andrew Gill, University of Vermont, Burlington, VT, USA 
Ashley Dobbins, University of Vermont, Burlington, VT, USA 
Amanda Falcon, University of Vermont, Burlington, VT, USA 
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VIEWS 7
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
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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)
NOTE: 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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Reviewer Report 08 May 2018
Carlo Garofalo, Department of Developmental Psychology, Tilburg University, Tilburg, The Netherlands 
Approved
VIEWS 7
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
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HOW TO CITE THIS REPORT
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)
NOTE: 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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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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