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Comments on 'Longitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multi...

Published in Psychometrika

Matching IRT Models to Patient-Reported Outcomes Constructs: The Graded Response and Log-Logistic Models for Scaling Dep...

Published in Psychometrika

Item response theory (IRT) model applications extend well beyond cognitive ability testing, and various patient-reported outcomes (PRO) measures are among the more prominent examples. PRO (and like) constructs differ from cognitive ability constructs in many ways, and these differences have model fitting implications. With a few notable exceptions,...

Obituary GIDEON J. MELLENBERGH (1938–2021)

Published in Psychometrika

Erratum to: Power Analysis and Sample Size Planning in Ancova Designs

Published in Psychometrika

Longitudinal Analysis of Patient-Reported Outcomes in Clinical Trials: Applications of Multilevel and Multidimensional I...

Published in Psychometrika

With decades of advance research and recent developments in the drug and medical device regulatory approval process, patient-reported outcomes (PROs) are becoming increasingly important in clinical trials. While clinical trial analyses typically treat scores from PROs as observed variables, the potential to use latent variable models when analyzing...

Using Item Response Theory to Identify Responders to Treatment: Examples with the Patient-Reported Outcomes Measurement ...

Published in Psychometrika

The reliable change index has been used to evaluate the significance of individual change in health-related quality of life. We estimate reliable change for two measures (physical function and emotional distress) in the Patient-Reported Outcomes Measurement Information System (PROMIS®) 29-item health-related quality of life measure (PROMIS-29 v2.1)...

Bayesian Analysis of ANOVA and Mixed Models on the Log-Transformed Response Variable

Published in Psychometrika

The analysis of variance, and mixed models in general, are popular tools for analyzing experimental data in psychology. Bayesian inference for these models is gaining popularity as it allows to easily handle complex experimental designs and data dependence structures. When working on the log of the response variable, the use of standard priors for ...

Differential Item Functioning Analysis Without A Priori Information on Anchor Items: QQ Plots and Graphical Test.

Published in Psychometrika

Differential item functioning (DIF) analysis is an important step in establishing the validity of measurements. Most traditional methods for DIF analysis use an item-by-item strategy via anchor items that are assumed DIF-free. If anchor items are flawed, these methods will yield misleading results due to biased scales. In this article, based on the...

Perspectives on Psychometrics Interviews with 20 Past Psychometric Society Presidents

Published in Psychometrika

In this article, we present the findings of an oral history project on the past, present, and future of psychometrics, as obtained through structured interviews with twenty past Psychometric Society presidents. Perspectives on how psychometrics should be practiced vary strongly. Some presidents are psychology-oriented, whereas others have a more ma...