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Summary
This summary is machine-generated.

This study demonstrates how to estimate creativity measurement models, specifically the two-parameter Poisson counts model (2PPCM), using Bayesian multilevel regression in R. This offers a flexible alternative for analyzing divergent thinking fluency scores.

Keywords:
Bayesian estimationcreativitydivergent thinkingfluencyitem response theorypsychometrics

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Area of Science:

  • Psychometrics
  • Cognitive Psychology
  • Statistical Modeling

Background:

  • Divergent thinking tests are widely used to assess creativity, often focusing on fluency (idea count).
  • The two-parameter Poisson counts model (2PPCM) and Rasch Poisson counts model (RPCM) are suitable for analyzing fluency data.
  • Previous estimation of these models relied on commercial generalized structural equation modeling (GSEM) software.

Purpose of the Study:

  • To demonstrate the estimation of the 2PPCM and RPCM within a Bayesian multilevel regression framework.
  • To provide practical guidance on using the R package brms for analyzing creativity task fluency scores.
  • To offer a reproducible and accessible method for psychometric modeling of creativity data.

Main Methods:

  • Bayesian multilevel regression modeling using the R package brms, interfacing with the Stan programming language.
  • Estimation and interpretation of the two-parameter Poisson counts model (2PPCM) and Rasch Poisson counts model (RPCM).
  • Illustration with an example dataset of fluency scores from 202 participants across three tasks.

Main Results:

  • Successful estimation of 2PPCM and RPCM models in a Bayesian framework using brms.
  • Demonstration of model specification, convergence assessment, and model fit evaluation.
  • Provision of practical guidance on plotting item response functions, comparing models, and calculating reliability.

Conclusions:

  • Bayesian multilevel regression with brms provides a flexible and accessible alternative for estimating 2PPCM and RPCM models for creativity research.
  • This approach facilitates detailed psychometric analysis of divergent thinking fluency data.
  • The study offers a valuable resource for researchers seeking to analyze creativity measures using modern statistical techniques.