This report calls on the nation—its leaders, its mental health research and service provision
agencies, its schools, its primary care medical systems, its community-based organizations …

This review presents a practical summary of the missing data literature, including a sketch of
missing data theory and descriptions of normal-model multiple imputation (MI) and …

In data analytics, missing data is a factor that degrades performance. Incorrect imputation of
missing values could lead to a wrong prediction. In this era of big data, when a massive …

This valuable book is now in a fully updated second edition that presents the latest
developments in longitudinal structural equation modeling (SEM) and new chapters on …

Although many studies have focused on the potential of implementing gamification in
education, the existing literature remains inconclusive about its effectiveness. In order to …

Drawing on the expectancy–value model, the present study explored individual and gender
differences in university entry and selection of educational pathway (eg, science …

The ability to analyse raw data is an increasingly important skill in numerous fields, including
psychology, business, politics, media studies, international relations, criminology, sociology …

This article urges counseling psychology researchers to recognize and report how missing
data are handled, because consumers of research cannot accurately interpret findings …

Studies of adults who experienced sexual orientation change efforts (SOCE) have
documented a range of health risks. To date, there is little research on SOCE among …

Featuring engaging examples from diverse disciplines, this book explains how to use
modern approaches to quasi-experimentation to derive credible estimates of treatment …