About this Research Topic
The goal of the present proposal is to provide new knowledge in psychometrics. Topics of interest are the following but are not limited to those. Any work related to improving measurement is potentially of interest to this issue. Examples include confirmatory factor analysis, item response theory, measurement invariance, Bayesian applications of measurement, reliability in longitudinal designs, invariance in longitudinal and cross-sectional designs, parametric and non-parametric extension of item response models, analysis of response times, analyses of aberrant behavior, systematic measurement error, the roles of personal characteristics in measurement, scaling systems and evaluation, item position effects, analysis of distractors, detection of cheating and guessing, nested model applications of the above concepts, latent class and latent profile models, cognitive diagnostic models, classification models, computerized adaptive testing, multistage testing, cross-validation, simulations of all the above, power analyses, extension of descriptive fit indices, analysis of response vectors, etc. Applications of the above concepts and use of specific software routines is especially encouraged.
The purpose of the present topic is to provide new practical knowledge in psychometrics that can be used by applied researchers in the social sciences. The proposal includes theoretical pieces, applications and simulation studies. It is strongly encouraged that application works include details and annotated examples of popular software employed in their studies that can lead to replication and extension. Topics include but are not limited to: confirmatory factor analysis, item response theory, measurement invariance, Bayesian applications of measurement, reliability in longitudinal designs, invariance in longitudinal and cross-sectional designs, parametric and non-parametric extension of item response models, analysis of response times, analyses of aberrant behavior, systematic measurement error, the roles of personal characteristics in measurement, scaling systems and evaluation, item position effects, analysis of distractors, detection of cheating and guessing, nested model applications of the above concepts, latent class and latent profile models, cognitive diagnostic models, classification models, computerized adaptive testing, multistage testing, cross-validation, simulations of all the above, power analyses, extension of descriptive fit indices, analysis of response vectors, etc.
Keywords: Psychometrics, measurement invariance, Bayesian modeling, Nonparametric IRT, Analysis of Response Vectors.
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