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Soysal, Sumeyra; Karaman, Haydar; Dogan, Nuri – Eurasian Journal of Educational Research, 2018
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…
Descriptors: Sample Size, Data Analysis, Research Problems, Error of Measurement
Polanin, Joshua R.; Tanner-Smith, Emily E.; Hennessy, Emily A. – Review of Educational Research, 2016
Practitioners and policymakers rely on meta-analyses to inform decision making around the allocation of resources to individuals and organizations. It is therefore paramount to consider the validity of these results. A well-documented threat to the validity of research synthesis results is the presence of publication bias, a phenomenon where…
Descriptors: Publications, Periodicals, Bias, Effect Size
Polanin, Joshua R.; Tanner-Smith, Emily E.; Hennessy, Emily A. – Grantee Submission, 2016
Practitioners and policymakers rely on meta-analyses to inform decision-making around the allocation of resources to individuals and organizations. It is therefore paramount to consider the validity of these results. A well-documented threat to the validity of research synthesis results is the presence of publication bias, a phenomenon where…
Descriptors: Publications, Periodicals, Bias, Effect Size
Steenbergen-Hu, Saiying; Olszewski-Kubilius, Paula – Gifted Child Quarterly, 2016
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,…
Descriptors: Meta Analysis, Academically Gifted, Research Methodology, Research Problems
Driscoll, Dana Lynn; Gorzelsky, Gwen; Wells, Jennifer; Hayes, Carol; Jones, Ed; Salchak, Steve – Composition Forum, 2017
Researching writing-related dispositions is of critical concern for understanding writing transfer and writing development. However, as a field we need better tools and methods for identifying, tracking, and analyzing dispositions. This article describes a failed attempt to code for five key dispositions (attribution, self-efficacy, persistence,…
Descriptors: Longitudinal Studies, Writing Attitudes, Student Attitudes, Attitude Measures
Deygers, Bart; Van Gorp, Koen – Language Testing, 2015
Considering scoring validity as encompassing both reliable rating scale use and valid descriptor interpretation, this study reports on the validation of a CEFR-based scale that was co-constructed and used by novice raters. The research questions this paper wishes to answer are (a) whether it is possible to construct a CEFR-based rating scale with…
Descriptors: Rating Scales, Scoring, Validity, Interrater Reliability
Tolan, Patrick; Henry, David; Schoeny, Michael; Bass, Arin; Lovegrove, Peter; Nichols, Emily – Campbell Collaboration, 2013
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…
Descriptors: Mentors, Delinquency, Juvenile Justice, Power Structure
Park, Caroline L. – Journal of Interactive Online Learning, 2009
This paper is a report of the replication of a seminal study on cognitive presence in computer mediated conferencing (CMC) by Garrison, Anderson, and Archer (2001). A comparison of cognitive presence coding by three different researchers is also demonstrated. The study re-ignites debates about what constitutes the segment of CMC data to be coded…
Descriptors: Graduate Students, Nursing Education, Replication (Evaluation), Cognitive Measurement