The year 2022 is the 20th anniversary of Joseph Schafer and John Graham's paper titled
“Missing data: Our view of the state of the art,” currently the most highly cited paper in the …

Inherent in applied developmental sciences is the threat to validity and generalizability due
to missing data as a result of participant drop-out. The current paper provides an overview of …

Cronbach's alpha as a reliability estimate for a set of items has been repeatedly criticised.
Using McDonald's omega or the Greatest Lower Bound (GLB) has been suggested instead …

Significantly revised, the fifth edition of the most complete, accessible text now covers all
three approaches to structural equation modeling (SEM)--covariance-based SEM …

Emerging adulthood researchers are often interested in the effects of developmental tasks.
The majority of transitions that occur during the period of early/emerging adulthood are not …

When estimating causal effects, careful handling of missing data is needed to avoid bias.
Complete-case analysis is commonly used in epidemiologic analyses. Previous work has …

Background Sexual minority adolescents (ie youth not exclusively heterosexual) report more
anxiety than heterosexual youth on symptom questionnaires but no research has used …

Abstract Evaluation of model fit is critically important for every structural equation model
(SEM), and sophisticated methods have been developed for this task. Among them are the χ …

Rubin's classic missingness mechanisms are central to handling missing data and
minimizing biases that can arise due to missingness. However, the formulaic expressions …

Biodiversity monitoring usually involves drawing inferences about some variable of interest
across a defined landscape from observations made at a sample of locations within that …