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Coyne, Michael D.; Cook, Bryan G.; Therrien, William J. – Remedial and Special Education, 2016
Special education researchers conduct studies that can be considered replications. However, they do not often refer to them as replication studies. The purpose of this article is to consider the potential benefits of conceptualizing special education intervention research within a framework of systematic, conceptual replication. Specifically, we…
Descriptors: Special Education, Replication (Evaluation), Research Needs, Research Methodology
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research

Webb, Noreen M.; And Others – Measurement and Evaluation in Counseling and Development, 1988
Develops basic concepts of generalizability theory using hypothetical study of reliability of scores of vocational interest inventory. Asserts that generalizability theory makes it possible to consider all possible sources of unreliability simultaneously and to design optimal decision-making study. (NB)
Descriptors: Career Counseling, Data Interpretation, Generalizability Theory, Individual Development
Sanders, Petrus Franciscus – 1992
The application of mathematical programming techniques is extended to the construction of measurement instruments in generalizability theory. Key concepts in generalizability theory are explained and a description is given of: (1) the one-facet crossed design; (2) the two-facet crossed design; and (3) a two-facet nested design. The optimization of…
Descriptors: Budgeting, Data Interpretation, Decision Making, Equations (Mathematics)

Brennan, Robert L. – Educational Measurement: Issues and Practice, 1992
The framework and procedures of generalizability theory are introduced and illustrated in this instructional module that uses a hypothetical scenario involving writing proficiency. Generalizability analyses are useful for understanding the relative importance of various sources of error and for designing efficient measurement procedures. (SLD)
Descriptors: Analysis of Variance, Data Interpretation, Equations (Mathematics), Error of Measurement