The purpose of this research was to explore psychometric
issues pertinent to the application of an IRT-based
person-fit (response aberrancy) detection
statistic in the personality measurement domain. Monte
carlo data analyses were conducted to address issues
regarding lz the person-fit statistic. The major issues
explored were characteristics of the null distribution of
lz and its power to identify nonfitting response patterns
under different scoring strategies. There were two main
results. First, the lz index null distribution was not well
standardized when item parameters of personality
scales were used; the lz null distribution variance was
significantly less than the hypothesized value of 1.0
under several conditions. Second, the power of lz to
detect response misfit was affected by the scoring
method. Detection power was optimal when a biweight
estimator of θ was used. Recommendations are made
regarding proper implementation of person-fit statistics
in personality measurement. Index terms: appropriateness
measurement, item response theory, lz statistic,
person fit, personality assessment, response aberrancy,
scoring methods, two-parameter model.
Reise, Steven P. (1995). Scoring method and the detection of person misfit in a personality assessment context. Applied Psychological Measurement, 19, 213-229. doi:10.1177/014662169501900301
Reise, Steven P..
Scoring method and the detection of person misfit in a personality assessment context.
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