This study holds significant implications as it examines the impact of different missing data
handling methods on the internal consistency coefficients. Using Monte Carlo simulations …

Multivariate normality is frequently assumed when multiple imputation is applied for missing
data. When data are ordered categorical, imputing missing data using the fully normal …

Purpose In developing item banks for patient reported outcomes (PROs), nonparametric
techniques are often used for investigating empirical item response curves, whereas final …

Abstract Background Quality of life (QoL) of people with dementia (PwD) is an important
indicator of quality of care. Studying the impact of acute hospital settings on PwD's QoL …

Earlier research has shown that bootstrap confidence intervals from principal component
loadings give a good coverage of the population loadings. However, this only applies to …

Rationality is considered an important trait for functioning in modern society, as it is thought
to be necessary for making judgments and decisions. Rationality aligns well with ambitions …

In the social and behavioral sciences, researchers commonly use tests and questionnaires
to measure attributes such as cognitive abilities including aspects of intelligence, personality …

Comparing countries according to their PISA results can be considered cross-cultural
studies. An important issue in these studies is that the measurement tools must be culturally …

Item-level fit analysis not only serves as a complementary check to global fit analysis, it is
also essential in scale development because the fit results will guide item revision and/or …

Recent concerns have arisen about the effects on counselors of working with trauma
survivors. Vicarious traumatization may be a normal developmental process of adapting to …