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A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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Modeling multiple response processes in judgment and choice.

Ulf Böckenholt1

  • 1Kellogg School of Management, Northwestern University, IL, USA. u-bockenholt@kellogg.northwestern.edu

Psychological Methods
|May 2, 2012
PubMed
Summary
This summary is machine-generated.

Item response models can capture complex psychological response processes, including intuitive, analytical, and even refusal behaviors. This method uses pseudoitems for measurement and can be estimated using standard statistical software, highlighting the prevalence of multiple response processes.

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Area of Science:

  • Psychological measurement
  • Psychometrics
  • Quantitative psychology

Background:

  • Traditional item response models often assume a single response process.
  • Psychological research frequently involves complex response behaviors beyond simple correct/incorrect answers.
  • Understanding these multiple processes is crucial for accurate measurement.

Purpose of the Study:

  • To demonstrate the application of item response models for capturing multiple response processes in psychology.
  • To provide a framework for measuring diverse response behaviors, including intuitive, analytical, and socially desirable responding.
  • To illustrate the utility of pseudoitems derived from observed responses for modeling these processes.

Main Methods:

  • Utilizing item response models to analyze various response processes.
  • Deriving pseudoitems from observed responses to represent different response strategies.
  • Employing standard statistical software capable of handling missing data for model estimation.

Main Results:

  • Item response models effectively capture diverse response processes like intuitive/analytical responses, agree-disagree patterns, refusals, and social desirability.
  • Pseudoitems derived from observed data provide a viable method for measuring these complex response behaviors.
  • The proposed models are estimable using readily available statistical software.

Conclusions:

  • Item response models offer a flexible framework for understanding and quantifying multiple response processes in psychological research.
  • The use of pseudoitems and standard software facilitates the practical application of these advanced measurement techniques.
  • Multiple response processes are prevalent and significantly impact psychological measurement, necessitating their consideration in analysis.