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Showing 1 to 15 of 54 results Save | Export
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Deke, John; Finucane, Mariel; Thal, Daniel – National Center for Education Evaluation and Regional Assistance, 2022
BASIE is a framework for interpreting impact estimates from evaluations. It is an alternative to null hypothesis significance testing. This guide walks researchers through the key steps of applying BASIE, including selecting prior evidence, reporting impact estimates, interpreting impact estimates, and conducting sensitivity analyses. The guide…
Descriptors: Bayesian Statistics, Educational Research, Data Interpretation, Hypothesis Testing
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Swank, Jacqueline M.; Mullen, Patrick R. – Measurement and Evaluation in Counseling and Development, 2017
The article serves as a guide for researchers in developing evidence of validity using bivariate correlations, specifically construct validity. The authors outline the steps for calculating and interpreting bivariate correlations. Additionally, they provide an illustrative example and discuss the implications.
Descriptors: Correlation, Construct Validity, Guidelines, Data Interpretation
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Porter, Kristin E. – Journal of Research on Educational Effectiveness, 2018
Researchers are often interested in testing the effectiveness of an intervention on multiple outcomes, for multiple subgroups, at multiple points in time, or across multiple treatment groups. The resulting multiplicity of statistical hypothesis tests can lead to spurious findings of effects. Multiple testing procedures (MTPs) are statistical…
Descriptors: Statistical Analysis, Program Effectiveness, Intervention, Hypothesis Testing
Humphrey, Stephen E., Ed.; LeBreton, James M., Ed. – APA Books, 2019
Organizational relationships are complex. Employees do their work as individuals, but also as members of larger teams. They exist within various social networks, both within and spanning organizations. Multilevel theory is at the core of the organizational sciences, and unpacking multilevel relationships is fundamental to the challenges faced…
Descriptors: Hierarchical Linear Modeling, Theories, Institutional Research, Social Networks
Porter, Kristin E. – Grantee Submission, 2017
Researchers are often interested in testing the effectiveness of an intervention on multiple outcomes, for multiple subgroups, at multiple points in time, or across multiple treatment groups. The resulting multiplicity of statistical hypothesis tests can lead to spurious findings of effects. Multiple testing procedures (MTPs) are statistical…
Descriptors: Statistical Analysis, Program Effectiveness, Intervention, Hypothesis Testing
Porter, Kristin E. – MDRC, 2016
In education research and in many other fields, researchers are often interested in testing the effectiveness of an intervention on multiple outcomes, for multiple subgroups, at multiple points in time, or across multiple treatment groups. The resulting multiplicity of statistical hypothesis tests can lead to spurious findings of effects. Multiple…
Descriptors: Statistical Analysis, Program Effectiveness, Intervention, Hypothesis Testing
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Lohr, Sharon; Schochet, Peter Z.; Sanders, Elizabeth – National Center for Education Research, 2014
Suppose an education researcher wants to test the impact of a high school drop-out prevention intervention in which at-risk students attend classes to receive intensive summer school instruction. The district will allow the researcher to randomly assign students to the treatment classes or to the control group. Half of the students (the treatment…
Descriptors: Educational Research, Research Design, Data Analysis, Intervention
Morehouse, Richard – Routledge, Taylor & Francis Group, 2011
"Beginning Interpretive Inquiry" importantly makes the distinction between the use of "inquiry" rather than interpretive research or interpretive evaluation. Richard Morehouse explores how inquiry is a far more inclusive concept that allows for a detailed understanding of both research and evaluation. The author draws on his personal experiences…
Descriptors: Research Methodology, Data Analysis, Educational Research, Data Collection
Ellis, Paul D. – Cambridge University Press, 2010
This succinct and jargon-free introduction to effect sizes gives students and researchers the tools they need to interpret the practical significance of their results. Using a class-tested approach that includes numerous examples and step-by-step exercises, it introduces and explains three of the most important issues relating to the practical…
Descriptors: Effect Size, Statistical Analysis, Meta Analysis, Research
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Boller, Kimberly; Kisker, Ellen Eliason – Regional Educational Laboratory, 2014
This guide is designed to help researchers make sure that their research reports include enough information about study measures so that readers can assess the quality of the study's methods and results. The guide also provides examples of write-ups about measures and suggests resources for learning more about these topics. The guide assumes…
Descriptors: Research Reports, Research Methodology, Educational Research, Check Lists
Brese, Falk, Ed.; Carstens, Ralph, Ed. – International Association for the Evaluation of Educational Achievement, 2009
To support and promote secondary analyses, the International Association for the Evaluation of Educational Achievement (IEA) is making the SITES 2006 international database and accompanying User Guide available to researchers, analysts, and public users. The database comprises national contexts and school- and teacher-level data from 23 education…
Descriptors: Academic Achievement, Questionnaires, Information Technology, Educational Technology
Firebaugh, Glenn – Princeton University Press, 2008
"Seven Rules for Social Research" teaches social scientists how to get the most out of their technical skills and tools, providing a resource that fully describes the strategies and concepts no researcher or student of human behavior can do without. Glenn Firebaugh provides indispensable practical guidance for anyone doing research in the social…
Descriptors: Social Scientists, Political Science, Qualitative Research, College Students
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Martin, John A. – Child Development, 1987
Provides a set of guidelines for evaluating research using structural equation modeling (SEM). Offers insight into how someone familiar with SEM would judge the adequacy of a study using such methods. (Author/RH)
Descriptors: Guidelines, Logic, Research Methodology, Research Problems
Arnold, Mit – Diagnostique, 1983
The paper reviews a series of models designed to reduce bias in the assessment process and describes the intent of each model and their interactive effect in the process of nonbiased educational evaluation. (Author/CL)
Descriptors: Disabilities, Elementary Secondary Education, Models, Statistical Analysis
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Gellen, M. I.; Hoffman, R. A. – Education, 1984
Discusses the use of the chi-square statistic in educational evaluation based on the assumption that the availability of calculators and computers does not absolve educators from the responsibility of understanding this statistically evaluative technique. Illustrates applicability to an action research study in a middle school setting. (NEC)
Descriptors: Educational Assessment, Elementary Secondary Education, Evaluation Methods, Statistical Analysis
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