Over the past decade, Mokken scale analysis (MSA) has rapidly grown in popularity among
researchers from many different research areas. This tutorial provides researchers with a set …

Background: The objectives of this systematic review are to examine how researchers report
missing data in questionnaires and to provide an overview of current methods for dealing …

The most user-friendly and authoritative resource on missing data has been completely
revised to make room for the latest developments that make handling missing data more …

Objectives Regardless of the proportion of missing values, complete-case analysis is most
frequently applied, although advanced techniques such as multiple imputation (MI) are …

Behavioral science researchers routinely use scale scores that sum or average a set of
questionnaire items to address their substantive questions. A researcher applying multiple …

Abstract Background The Hospital Anxiety and Depression Scale (HADS) is a widely used
questionnaire in health research, but there is little guidance on how to handle missing items …

The aim of this research is to explore whether teaching basic financial concepts at schools
helps to improve students' ability to apply the knowledge and skills that they learn to real-life …

Researchers often encounter missing values in their datasets, yet they frequently use
suboptimal methods to tackle this missing data problem. This might be explained by either …

The psychometric structure of the Brief Symptom Inventory–18 (BSI-18; Derogatis, 2001)
was investigated using Mokken scaling and parametric item response theory. Data of 487 …

We propose using latent class analysis as an alternative to log‐linear analysis for the
multiple imputation of incomplete categorical data. Similar to log‐linear models, latent class …