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Direct linkXue Zhang; Chun Wang – Grantee Submission, 2022
Item-level fit analysis not only serves as a complementary check to global fit analysis, it is also essential in scale development because the fit results will guide item revision and/or deletion (Liu & Maydeu-Olivares, 2014). During data collection, missing response data may likely happen due to various reasons. Chi-square-based item fit…
Descriptors: Goodness of Fit, Item Response Theory, Scores, Test Length
Lee, Jihyun; Paek, Insu – Journal of Psychoeducational Assessment, 2014
Likert-type rating scales are still the most widely used method when measuring psychoeducational constructs. The present study investigates a long-standing issue of identifying the optimal number of response categories. A special emphasis is given to categorical data, which were generated by the Item Response Theory (IRT) Graded-Response Modeling…
Descriptors: Likert Scales, Responses, Item Response Theory, Classification
Yang, Sophie Xin; Jowett, Sophia – Measurement in Physical Education and Exercise Science, 2013
The Coach-Athlete Relationship Questionnaire was developed to effectively measure affective, cognitive, and behavioral aspects, represented by the interpersonal constructs of closeness, commitment, and complementarity, of the quality of the relationship within the context of sport coaching. The current study sought to determine the internal…
Descriptors: Foreign Countries, Athletes, Athletic Coaches, Interpersonal Relationship
Kastner, Rebecca M.; Sellbom, Martin; Lilienfeld, Scott O. – Psychological Assessment, 2012
The Psychopathic Personality Inventory (PPI) has shown promising construct validity as a measure of psychopathy. Because of its relative efficiency, a short-form version of the PPI (PPI-SF) was developed and has proven useful in many psychopathy studies. The validity of the PPI-SF, however, has not been thoroughly examined, and no studies have…
Descriptors: Personality Measures, Psychopathology, Psychometrics, Comparative Analysis
Kieftenbeld, Vincent; Natesan, Prathiba – Applied Psychological Measurement, 2012
Markov chain Monte Carlo (MCMC) methods enable a fully Bayesian approach to parameter estimation of item response models. In this simulation study, the authors compared the recovery of graded response model parameters using marginal maximum likelihood (MML) and Gibbs sampling (MCMC) under various latent trait distributions, test lengths, and…
Descriptors: Test Length, Markov Processes, Item Response Theory, Monte Carlo Methods
