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 …

Prior research suggests that the pandemic coronavirus pushes all the “hot spots” for risk
perceptions, yet both governments and populations have varied in their responses. As the …

Large-scale surveys are common in social and behavioral science research. Missing data
often occur at item levels due to nonresponses or planned missing data designs. In practice …

In game design, curiosity is often a critical driver of player engagement, yet its complex role
in influencing player experience remains underexplored. The present study aims to …

Principal component analysis (PCA) is a widely used statistical technique for determining
subscales in questionnaire data. As in any other statistical technique, missing data may both …

Multiple imputation is one of the most highly recommended procedures for dealing with
missing data. However, to date little attention has been paid to methods for combining the …

Background Although text messaging has the potential to be the core intervention modality,
it is often used as an adjunct only. To improve health and alleviate the distress related to …

ThuisBest is a newly developed family focused treatment that combines secure residential
youth care with multisystemic therapy (MST), allowing adolescents to return home after …

Health-science researchers often measure psychological constructs using multi-item scales
and encounter missing items on some participants. Multiple imputation (MI) has emerged as …

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 …