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Haynes JM, Haines N, Sullivan-Toole H, Olino TM. Test-retest reliability of the play-or-pass version of the Iowa Gambling Task. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2024; 24:740-754. [PMID: 38849641 DOI: 10.3758/s13415-024-01197-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/10/2024] [Indexed: 06/09/2024]
Abstract
The Iowa Gambling Task (IGT) is used to assess decision-making in clinical populations. The original IGT does not disambiguate reward and punishment learning; however, an adaptation of the task, the "play-or-pass" IGT, was developed to better distinguish between reward and punishment learning. We evaluated the test-retest reliability of measures of reward and punishment learning from the play-or-pass IGT and examined associations with self-reported measures of reward/punishment sensitivity and internalizing symptoms. Participants completed the task across two sessions, and we calculated mean-level differences and rank-order stability of behavioral measures across the two sessions using traditional scoring, involving session-wide choice proportions, and computational modeling, involving estimates of different aspects of trial-level learning. Measures using both approaches were reliable; however, computational modeling provided more insights regarding between-session changes in performance, and how performance related to self-reported measures of reward/punishment sensitivity and internalizing symptoms. Our results show promise in using the play-or-pass IGT to assess decision-making; however, further work is still necessary to validate the play-or-pass IGT.
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Affiliation(s)
- Jeremy M Haynes
- Department of Psychology and Neuroscience, Temple University, 1701 N. 13th Street, Philadelphia, PA, 19122, USA.
| | | | - Holly Sullivan-Toole
- Department of Psychology and Neuroscience, Temple University, 1701 N. 13th Street, Philadelphia, PA, 19122, USA
| | - Thomas M Olino
- Department of Psychology and Neuroscience, Temple University, 1701 N. 13th Street, Philadelphia, PA, 19122, USA
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Sullivan-Toole H, Haines N, Dale K, Olino TM. Enhancing the Psychometric Properties of the Iowa Gambling Task Using Full Generative Modeling. COMPUTATIONAL PSYCHIATRY (CAMBRIDGE, MASS.) 2022; 6:189-212. [PMID: 37332395 PMCID: PMC10275579 DOI: 10.5334/cpsy.89] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Accepted: 08/03/2022] [Indexed: 11/20/2022]
Abstract
Poor psychometrics, particularly low test-retest reliability, pose a major challenge for using behavioral tasks in individual differences research. Here, we demonstrate that full generative modeling of the Iowa Gambling Task (IGT) substantially improves test-retest reliability and may also enhance the IGT's validity for use in characterizing internalizing pathology, compared to the traditional analytic approach. IGT data ( n = 50 ) was collected across two sessions, one month apart. Our full generative model incorporated (1) the Outcome Representation Learning (ORL) computational model at the person-level and (2) a group-level model that explicitly modeled test-retest reliability, along with other group-level effects. Compared to the traditional 'summary score' (proportion good decks selected), the ORL model provides a theoretically rich set of performance metrics (Reward Learning Rate ( A + ) , Punishment Learning Rate ( A - ) , Win Frequency Sensitivity ( β f ) , Perseveration Tendency ( β p ) , Memory Decay ( K ) ), capturing distinct psychological processes. While test-retest reliability for the traditional summary score was only moderate (r = . 37 , BCa 95% CI [.04, .63]), test-retest reliabilities for ORL performance metrics produced by the full generative model were substantially improved, with test-retest correlations ranging between r = . 64 - . 82 for the five ORL parameters. Further, while summary scores showed no substantial associations with internalizing symptoms, ORL parameters were significantly associated with internalizing symptoms. Specifically, Punishment Learning Rate was associated with higher self-reported depression and Perseveration Tendency was associated with lower self-reported anhedonia. Generative modeling offers promise for advancing individual differences research using the IGT, and behavioral tasks more generally, through enhancing task psychometrics.
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Affiliation(s)
| | | | - Kristina Dale
- Temple University, Department of Psychology and Neuroscience, US
| | - Thomas M. Olino
- Temple University, Department of Psychology and Neuroscience, US
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Baitz HA, Jones PW, Campbell DA, Jones AA, Gicas KM, Giesbrecht CJ, Loken Thornton W, Barone CC, Wang NY, Panenka WJ, Lang DJ, Vila-Rodriguez F, Leonova O, Barr AM, Procyshyn RM, Buchanan T, Rauscher A, MacEwan GW, Honer WG, Thornton AE. Component Processes of Decision Making in a Community Sample of Precariously Housed Persons: Associations With Learning and Memory, and Health-Risk Behaviors. Front Psychol 2021; 12:571423. [PMID: 34276459 PMCID: PMC8285095 DOI: 10.3389/fpsyg.2021.571423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 02/16/2021] [Indexed: 11/30/2022] Open
Abstract
The Iowa Gambling Task (IGT) is a widely used measure of decision making, but its value in signifying behaviors associated with adverse, "real-world" consequences has not been consistently demonstrated in persons who are precariously housed or homeless. Studies evaluating the ecological validity of the IGT have primarily relied on traditional IGT scores. However, computational modeling derives underlying component processes of the IGT, which capture specific facets of decision making that may be more closely related to engagement in behaviors associated with negative consequences. This study employed the Prospect Valence Learning (PVL) model to decompose IGT performance into component processes in 294 precariously housed community residents with substance use disorders. Results revealed a predominant focus on gains and a lack of sensitivity to losses in these vulnerable community residents. Hypothesized associations were not detected between component processes and self-reported health-risk behaviors. These findings provide insight into the processes underlying decision making in a vulnerable substance-using population and highlight the challenge of linking specific decision making processes to "real-world" behaviors.
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Affiliation(s)
- Heather A. Baitz
- Department of Psychology, Simon Fraser University, Burnaby, BC, Canada
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
| | - Paul W. Jones
- Department of Psychology, Simon Fraser University, Burnaby, BC, Canada
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
| | - David A. Campbell
- Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, BC, Canada
- School of Mathematics and Statistics, Carleton University, Ottawa, ON, Canada
| | - Andrea A. Jones
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
| | - Kristina M. Gicas
- Department of Psychology, Simon Fraser University, Burnaby, BC, Canada
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
- Department of Psychology, York University, Toronto, ON, Canada
| | - Chantelle J. Giesbrecht
- Department of Psychology, Simon Fraser University, Burnaby, BC, Canada
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
| | | | | | - Nena Y. Wang
- Department of Psychology, Simon Fraser University, Burnaby, BC, Canada
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
| | - William J. Panenka
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
| | - Donna J. Lang
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
- Department of Radiology, University of British Columbia, Vancouver, BC, Canada
| | | | - Olga Leonova
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Alasdair M. Barr
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
- Department of Anesthesiology, Pharmacology, and Therapeutics, University of British Columbia, Vancouver, BC, Canada
| | - Ric M. Procyshyn
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
| | - Tari Buchanan
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Alexander Rauscher
- Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - G. William MacEwan
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - William G. Honer
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
| | - Allen E. Thornton
- Department of Psychology, Simon Fraser University, Burnaby, BC, Canada
- British Columbia Mental Health and Substance Use Services, Research Institute, Vancouver, BC, Canada
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Raybould JN, Larkin M, Tunney RJ. Is there a health inequality in gambling related harms? A systematic review. BMC Public Health 2021; 21:305. [PMID: 33549082 PMCID: PMC7866763 DOI: 10.1186/s12889-021-10337-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 01/26/2021] [Indexed: 12/12/2022] Open
Abstract
Background Here we present a systematic review of the existing research into gambling harms, in order to determine whether there are differences in the presentation of these across demographic groups such as age, gender, culture, and socioeconomic status, or gambling behaviour categories such as risk severity and participation frequency. Primary and secondary outcome measures Inclusion criteria were: 1) focus on gambling harms; 2) focus on harms to the gambler rather than affected others; 3) discussion of specific listed harms and not just harms in general terms. Exclusion criteria were: 1) research of non-human subjects; 2) not written in English; 3) not an empirical study; 4) not available as a full article. Methods We conducted a systematic search using the Web of Science and Scopus databases in August 2020. Assessment of quality took place using Standard Quality Assessment Criteria. Results A total of 59 studies published between 1994 and 2020 met the inclusion criteria. These were categorised into thematic groups for comparison and discussion. There were replicated differences found in groups defined by age, socioeconomic status, education level, ethnicity and culture, risk severity, and gambling behaviours. Conclusion Harms appear to be dependent on specific social, demographic and environmental conditions that suggests there is a health inequality in gambling related harms. Further investigation is required to develop standardised measurement tools and to understand confounding variables and co-morbidities. With a robust understanding of harms distribution in the population, Primary Care Workers will be better equipped to identify those who are at risk, or who are showing signs of Gambling Disorder, and to target prevention and intervention programmes appropriately. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-021-10337-3.
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Affiliation(s)
| | - Michael Larkin
- School of Psychology, Aston University, Birmingham, B7 4ET, UK
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Perandrés-Gómez A, Navas JF, van Timmeren T, Perales JC. Decision-making (in)flexibility in gambling disorder. Addict Behav 2021; 112:106534. [PMID: 32890912 DOI: 10.1016/j.addbeh.2020.106534] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 06/26/2020] [Accepted: 06/29/2020] [Indexed: 01/26/2023]
Abstract
BACKGROUND Behavioral flexibility -the ability to dynamically readjust our behavior in response to reward contingency changes- is often investigated using probabilistic reversal learning tasks (PRLT). Poor PRLT performance has been proposed as a proxy for compulsivity, and theorized to be related to perseverative gambling. Previous attempts to measure inflexibility with the PRLT in patients with gambling disorder have, however, used a variety of indices that may conflate inflexibility with more general aspects of performance in the task. METHODS Trial-by-trial PRLT acquisition and reacquisition curves in 84 treatment-seeking patients with gambling disorder and 64 controls (non-gamblers and non-problem recreational gamblers) were analyzed to distinguish between (a) variability in acquisition learning, and (b) reacquisition learning in reversed contingency phases. Complementarily, stay/switch responses throughout the task were analyzed to identify (c) premature switching, and (d) sensitivity to accumulated negative feedback. RESULTS AND INTERPRETATION Even after controlling for differences in acquisition learning, patients were slower to readjust their behavior in reversed contingency phases, and were more prone to maintain their decisions despite accumulated negative feedback. Inflexibility in patients with gambling disorder is thus a robust phenomenon that could predate gambling escalation, or result from massive exposure to gambling activities.
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Affiliation(s)
- Ana Perandrés-Gómez
- Department of Experimental Psychology, Mind, Brain and Research Center (CIMCYC), Universidad de Granada, Spain
| | - Juan F Navas
- Department of Clinical Psychology, Universidad Complutense de Madrid, Spain; Universitat Oberta de Catalunya, Spain
| | - Tim van Timmeren
- Department of Clinical Psychology, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, Amsterdam, the Netherlands
| | - José C Perales
- Department of Experimental Psychology, Mind, Brain and Research Center (CIMCYC), Universidad de Granada, Spain.
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Jara-Rizzo MF, Navas JF, Rodas JA, Perales JC. Decision-making inflexibility in a reversal learning task is associated with severity of problem gambling symptoms but not with a diagnosis of substance use disorder. BMC Psychol 2020; 8:120. [PMID: 33168098 PMCID: PMC7654010 DOI: 10.1186/s40359-020-00482-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 10/28/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Decisions made by individuals with disordered gambling are markedly inflexible. However, whether anomalies in learning from feedback are gambling-specific, or extend beyond gambling contexts, remains an open question. More generally, addictive disorders-including gambling disorder-have been proposed to be facilitated by individual differences in feedback-driven decision-making inflexibility, which has been studied in the lab with the Probabilistic Reversal Learning Task (PRLT). In this task, participants are first asked to learn which of two choice options is more advantageous, on the basis of trial-by-trial feedback, but, once preferences are established, reward contingencies are reversed, so that the advantageous option becomes disadvantageous and vice versa. Inflexibility is revealed by a less effective reacquisition of preferences after reversal, which can be distinguished from more generalized learning deficits. METHODS In the present study, we compared PRLT performance across two groups of 25 treatment-seeking patients diagnosed with an addictive disorder and who reported gambling problems, and 25 matched controls [18 Males/7 Females in both groups, Mage(SDage) = 25.24 (8.42) and 24.96 (7.90), for patients and controls, respectively]. Beyond testing for differences in the shape of PRLT learning curves across groups, the specific effect of problematic gambling symptoms' severity was also assessed independently of group assignment. In order to surpass previous methodological problems, full acquisition and reacquisition curves were fitted using generalized mixed-effect models. RESULTS Results showed that (1) controls did not significantly differ from patients in global PRLT performance nor showed specific signs of decision-making inflexibility; and (2) regardless of whether group affiliation was controlled for or not, gambling severity was specifically associated with more inefficient learning in phases with reversed contingencies. CONCLUSION Decision-making inflexibility, as revealed by difficulty to reacquire decisional preferences based on feedback after contingency reversals, seems to be associated with gambling problems, but not necessarily with a substance-use disorder diagnosis. This result aligns with gambling disorder models in which domain-general compulsivity is linked to vulnerability to develop gambling-specific problems with exposure to gambling opportunities.
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Affiliation(s)
| | - Juan F Navas
- Department of Clinical Psychology, Complutense University of Madrid, Madrid, Spain
| | - Jose A Rodas
- Faculty of Psychology, University of Guayaquil, Guayaquil, Ecuador
- School of Psychology, University College Dublin, Dublin, Ireland
| | - José C Perales
- Department of Experimental Psychology; Mind, Brain and Behavior Research Centre (CIMCYC), University of Granada, Granada, Spain
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