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Speed Effect Analysis Using the CFA Framework.

Karl Schweizer1,2, Siegbert Reiß1, Xuezhu Ren3

  • 1Institute of Psychology, Goethe University Frankfurt, Frankfurt, Germany.

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|March 7, 2019
PubMed
Summary

This study introduces a method to measure processing speed effects in timed tests. By adding a latent processing speed variable, researchers can distinguish this effect from item difficulty and other factors.

Keywords:
model of measurementnormal distributionomissionsprocessing speedstructural validity

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Area of Science:

  • Psychometrics
  • Cognitive Psychology
  • Educational Measurement

Background:

  • Timed tests can be influenced by processing speed, leading to omissions.
  • Traditional models may not fully account for this speed effect.
  • Distinguishing speed from other item characteristics is crucial for accurate assessment.

Purpose of the Study:

  • To develop and validate a method for investigating the impact of processing speed in timed testing.
  • To differentiate the effect of processing speed from item difficulty, homogeneity, and position.
  • To enhance confirmatory factor analysis models by incorporating a latent processing speed variable.

Main Methods:

  • Enlarging confirmatory factor models with a second latent variable for processing speed.
  • Fixing factor loadings based on the cumulative normal distribution to isolate the speed effect.
  • Applying the method to reasoning data (N=518) including omissions due to time limits.

Main Results:

  • The enhanced model demonstrated good fit for reasoning data.
  • The method successfully discriminated the processing speed effect from item difficulty and other method effects.
  • The inclusion of a latent processing speed variable improved model accuracy.

Conclusions:

  • The proposed method effectively quantifies the speed effect in timed assessments.
  • This approach provides a more nuanced understanding of cognitive performance under time constraints.
  • The findings support the importance of considering processing speed in psychometric modeling.