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Related Concept Videos

Bias01:22

Bias

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Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
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The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
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UPPS-P Impulsivity, Momentary Affect, and Gambling: An Experience Sampling Method Study.

Nathaniel L Phillips1, Colin E Vize2, Katherine L Collison3

  • 1University of Georgia.

Journal of Psychopathology and Behavioral Assessment
|March 23, 2026
PubMed
Summary
This summary is machine-generated.

Impulsivity traits, particularly Lack of Premeditation, are linked to increased gambling time. Momentary affect showed varied gambling associations, with no significant interactions found between traits and affect on gambling behavior.

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Area of Science:

  • Psychology
  • Behavioral Science
  • Addiction Research

Background:

  • Impulsivity is a key factor in gambling behavior.
  • The UPPS-P impulsivity model includes traits like urgency, premeditation, perseverance, and sensation seeking.
  • Understanding the interplay between impulsivity, affect, and gambling is crucial for intervention.

Purpose of the Study:

  • To investigate the relationship between UPPS-P impulsivity traits and momentary affect on daily gambling behaviors.
  • To examine how different facets of impulsivity influence gambling frequency, duration, and expenditure.
  • To explore potential interactions between trait impulsivity and affective states in predicting gambling outcomes.

Main Methods:

  • A sample of 99 regular gamblers completed baseline UPPS-P assessments.
  • Participants provided daily reports on affect and gambling behavior for seven days.
  • Bayesian mixed-effects models were employed to analyze trait and state influences on gambling.

Main Results:

  • A significant positive association was found between Lack of Premeditation and time spent gambling.
  • Most other UPPS-P traits and momentary affect variables showed non-significant associations with gambling behaviors.
  • No significant cross-level interactions were detected between impulsivity traits, affect, and gambling severity.

Conclusions:

  • Lack of Premeditation is a robust predictor of increased gambling duration.
  • Impulsivity is a multidimensional construct with differential impacts on various gambling behaviors.
  • The study underscores the utility of Bayesian methods for quantifying uncertainty in behavioral research.