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Knekta, Eva; Runyon, Christopher; Eddy, Sarah – CBE - Life Sciences Education, 2019
Across all sciences, the quality of measurements is important. Survey measurements are only appropriate for use when researchers have validity evidence within their particular context. Yet, this step is frequently skipped or is not reported in educational research. This article briefly reviews the aspects of validity that researchers should…
Descriptors: Factor Analysis, Surveys, Data Collection, Research Methodology
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Cope, Bill; Kalantzis, Mary – Open Review of Educational Research, 2015
In this article, we argue that big data can offer new opportunities and roles for educational researchers. In the traditional model of evidence-gathering and interpretation in education, researchers are independent observers, who pre-emptively create instruments of measurement, and insert these into the educational process in specialized times and…
Descriptors: Data Collection, Data Interpretation, Evidence, Educational Research
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
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Hoover, Greg A. – Social Forces, 1989
Examines the comparability of various types of income inequality data used in cross-national research. Focuses on more stringent definition and measurement of income. Presents income distribution data (quintile distributions and Gini coefficients) for 61 nations that meet these stricter requirements. Contains 37 references. (SV)
Descriptors: Data Collection, Data Interpretation, Economic Research, Income
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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