Titlebook: Essays on Contemporary Psychometrics; L. Andries van der Ark,Wilco H. M. Emons,Rob R. Me Book 2023 The Editor(s) (if applicable) and The A

可卡

Ardent

https://doi.org/10.1057/9780230362994ly, some extensions of multiple imputation to other PCA-related techniques or to statistics within PCA beyond the basics are discussed, and some general recommendations regarding the use of PCA on multiply imputed datasets in different statistical software packages will be given.

Mundane

delegate

TEM

Trustworthy Artificial Intelligence in Psychometrics application of AI in the field of psychometrics, is referred to as trustworthy AI (TAI), with principles related to fairness, explainability, and accountability. Based on the examples of the use of AI in social and health science and the lessons learned from the approaches to integrate new data typ

我不怕牺牲

Psychological Constructs as Organizing Principlesdentifying behavioral elements that structurally hang together, in the present chapter, I show how one can build up a psychometric approach that can motivate and guide the use of tests in psychology in the absence of strong common cause interpretations.

小步舞

组装

To , or not to ,: On the Use of the Total Scoretext of equating cut-off scores. The advantages of the total scores are presented, and how the total score can be used also in case the Rasch model does not hold. An example is given to describe how the procedure works in practice. Finally, some reflections are given on the practical implications, m

Noisome

https://doi.org/10.1057/9780230294141 application of AI in the field of psychometrics, is referred to as trustworthy AI (TAI), with principles related to fairness, explainability, and accountability. Based on the examples of the use of AI in social and health science and the lessons learned from the approaches to integrate new data typ

推崇

https://doi.org/10.1057/9780230503922dentifying behavioral elements that structurally hang together, in the present chapter, I show how one can build up a psychometric approach that can motivate and guide the use of tests in psychology in the absence of strong common cause interpretations.