Brief measures are important in psychology research because they reduce participant
burden. Researchers can select items from longer measures either to build a short-form or to …

This work illustrates the advantages of using machine learning classifiers in psychiatric
assessment. Machine learning-decision trees (ML-DTs) represent a new approach to …

We propose a new method to design a short survey measure of a complex concept such as
women's agency. The approach combines mixed-methods data collection and machine …

In recent years, machine learning methods have become increasingly popular prediction
methods in psychology. At the same time, psychological researchers are typically not only …

Open-ended interview questions elicit rich information about people's lives, but in large-
scale surveys, social scientists often need to measure complex concepts using only a few …

This paper reflects on some practical implications of the excellent treatment of sum scoring
and classical test theory (CTT) by Sijtsma et al.(Psychometrika 89 (1): 84–117, 2024). I have …

To obtain more accurate and robust feedback information from the students' assessment
outcomes and to communicate it to students and optimize teaching and learning strategies …

Major depressive disorder (MDD) and generalized anxiety disorder (GAD) are highly
prevalent, co-occurring disorders with significant symptom overlap, posing challenges in …

This article illustrates novel quantitative methods to estimate classification consistency in
machine learning models used for screening measures. Screening measures are used in …

Over the past decade, several data mining or machine learning techniques have been
implemented with greater frequency in the behavioral sciences. Machine learning …