Purpose of the Study: Missing data are a common problem encountered while implementing measurement instruments. Yet the extent to which reliability, validity, average discrimination and difficulty of the test results are affected by the missing data has not been studied much. Since it is inevitable that missing data have an impact on the…

This methodological brief introduces basic procedures and issues for conducting a high-quality meta-analysis in gifted education. Specifically, we discuss issues such as how to select a topic and formulate research problems, search for and identify qualified studies, code studies and extract data, choose and calculate effect sizes, analyze data,…

Background: Mentoring has drawn substantial interest from policymakers, intervention theorists, and those interested in identifying promising and useful evidence-based approaches to interventions for criminal justice and child welfare outcomes (Grossman & Tierney, 1998; Jekliek et al., 2002). Mentoring is one of the most commonly-used…

Coding interactional data for statistical analysis presents theoretical, methodological and practical challenges. Coding schemes rely on categories that are decided by their relevance to the analytical problem under investigation. We suggest that (1) endogenous and publicly displayed concerns of participants provide for the observable organisation…