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Related Experiment Video

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An R-Based Landscape Validation of a Competing Risk Model
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Evaluating risk propensity using an objective instrument.

Manuel J Sueiro Abad1, Ivan Sánchez-Iglesias, Alejandra Moncayo de Tella

  • 1Departamento de Metodología y Ciencias del Comportamiento, Universidad Complutense de Madrid, Campus de Somosaguas, 28223 Pozuelo de Alarcón, Madrid, Spain. msueiro@psi.ucm.es

The Spanish Journal of Psychology
|May 17, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a new, easy-to-administer risk propensity test. The objective test reliably measures individual differences in risk-taking behavior across three key factors.

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Area of Science:

  • Psychology
  • Behavioral Economics

Background:

  • Risk propensity evaluation methods include self-report questionnaires and objective tests.
  • Self-report measures suffer from biases and lack predictive value.
  • Objective tests are resource-intensive for large-scale administration.

Purpose of the Study:

  • To develop and validate an easy-to-administer, 30-item objective test for measuring risk propensity.
  • To assess the psychometric properties of the new risk propensity questionnaire.

Main Methods:

  • A 30-item objective test was developed, with each item presenting a choice between three options of equivalent expected value but different gain functions.
  • The questionnaire was administered to 222 subjects.
  • Reliability testing and exploratory factor analysis were conducted.

Main Results:

  • Exploratory factor analysis supported a three-factor model of risk: Sports and Gambling, Long-term Plans, and Loss Management.
  • Confirmatory factor analysis, after adjustments and inclusion of a global risk propensity factor, demonstrated adequate goodness of fit.

Conclusions:

  • The developed 30-item test is a psychometrically sound and efficient tool for assessing risk propensity.
  • The findings support a multi-factorial structure of risk propensity, including distinct dimensions related to sports/gambling, long-term planning, and loss management.