The purpose of this study is to examine the effect of missing data imputation methods, namely regression imputation (RI), multiple imputation (MI) and k-nearest neighbor (kNN) on differential item functioning (DIF). In this regard, the datasets used in the research were created by deleting some of the data via the missing completely at random…

The aim of this research was to know how widespread the activities were, and to what extent they were being implemented, in relation to data protection and digital sustainability in Primary Education schools. This study also analyzed whether teachers' age, gender and years of experience in the profession influenced the development of this type of…

The present article aims to show how to model longitudinal change in cohort sequential data applying latent true change models using Mplus' multi-group approach. The underlying modeling ideas are described and explained in this article. As an example, change in internalizing problem behaviors between the age of 8 and 13 years is modeled and…

As schools and school districts continue to face budget reductions, school officials must thoroughly evaluate and determine from which programs to decrease funding. Athletic programs are one area that has received much scrutiny for receiving these cuts. If research reveals a significant relationship between athletic involvement and academic…

Despite readily available alumni survey data warehoused at many alumni associations and foundations across colleges and universities, researchers have underutilized the abundant available data to identify key predictors of alumni donation, including factors that trigger alumni donation behavior. Utilizing the data from a two-year alumni survey…