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Lenz, A. Stephen – Measurement and Evaluation in Counseling and Development, 2020
A guide for professional counselors and counseling researchers for calculating and interpreting Percent Improvement as an indicator of clinical significance is provided. Strategies for reporting findings are described and illustrated. Guidelines for contextualizing discussions of clinical significance within the boundaries of psychometric evidence…
Descriptors: Counseling, Research, Computation, Improvement
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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
National Forum on Education Statistics, 2012
Education data are growing in quantity, quality, and value. When appropriately used to guide action, data can be a powerful tool for improving school operations, teaching, and learning. Education stakeholders who possess the knowledge, skills, and abilities to appropriately access, analyze, and interpret data will be able to use data to take…
Descriptors: Educational Indicators, Data Interpretation, Information Utilization, Data Analysis
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Whiteley, Meredith A.; Stage, Frances K. – New Directions for Institutional Research, 1987
The widespread use of comparative data can lead to problems on a campus unless the data are systematically incorporated in the institutional planning cycle. A model has been developed to alleviate a number of problems and increase the power of comparison as a management tool. (MSE)
Descriptors: College Planning, Comparative Analysis, Data Interpretation, Higher Education
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Wolery, Mark; Dunlap, Glen – Journal of Early Intervention, 2001
This paper describes guidelines for reporting findings from studies using single subject methods, an approach from which early intervention has benefited substantially. Guidelines address: the foundations of the study, what was done to whom under what situations, what the data say, and what the findings mean. (Contains references.) (DB)
Descriptors: Data Collection, Data Interpretation, Disabilities, Early Intervention
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Brinkman, Paul T.; Teeter, Deborah J. – New Directions for Institutional Research, 1987
Institutional comparison groups can be selected in several ways, depending on the comparison issue. The method chosen involves both technical and political considerations. (Author/MSE)
Descriptors: Comparative Analysis, Data Analysis, Data Interpretation, Higher Education
Kolstad, Andrew – 1984
This user's manual provides information for using the "High School and Beyond" (HSB) longitudinal study data file for local labor markets for HSB schools. An overview of the national study is given. Information in the HSB database comes primarily from questionnaires completed by students, school administrators, teachers, and parents of…
Descriptors: Data Interpretation, Databases, Grade 10, Grade 12
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Swanson, H. Lee – Remedial and Special Education (RASE), 1993
This article presents guidelines for "beginning" career researchers on developing a research program, focusing on topic choice, research methodology quality, coauthoring, funding, and selection of journal for publication. Career models in special education research are described, the importance of careful interpretation of research data is…
Descriptors: Career Development, Data Interpretation, Disabilities, Educational Research
Clagett, Craig A. – 1990
Guidelines are offered to institutional researchers and planning analysts for presenting research results in formats and levels of sophistication that are accessible to top management. Fundamental principles include: (1) know what is needed; (2) know when the information is needed; (3) match format to analytical sophistication and learning…
Descriptors: Communication (Thought Transfer), Data Interpretation, Higher Education, Information Dissemination
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Wagner, Mary; Fiester, Leila; Reisner, Elizabeth; Murphy, Daniel; Golan, Shari – 1997
A consensus has emerged in recent years that the fragmented systems serving children and families need to be restructured and integrated in ways that make them accessible, family-focused, and able to accommodate cultural differences. Collaborative partnerships involving schools, families, and other community stakeholders are learning that they are…
Descriptors: Agency Cooperation, Community Cooperation, Community Coordination, Data Collection
Barone, John L.; And Others – 1986
This document is the users' guide for Version 3.1 of the Public-Use data tapes compiled by the National Assessment of Educational Progress (NAEP), 1983-84. The Public-Use tapes are produced to allow outside researchers access to the NAEP data. The tapes accompanying this guide contain data assessing student achievement in reading and writing at…
Descriptors: Academic Achievement, Computer Storage Devices, Data Analysis, Data Collection
Johnson, Eugene G.; And Others – 1987
This document is the users' guide for Version 1.0 of the Public-Use data tapes compiled by the National Assessment of Educational Progress (NAEP), 1985-86. The Public-Use tapes are produced to allow outside researchers access to the NAEP data. The tapes accompanying this guide, one for grade 3/age 9, one for grade 7/age 13, and one for grade…
Descriptors: Academic Achievement, Computer Software, Computer Storage Devices, Data Analysis
Middaugh, Michael F.; And Others – 1994
This book provides conceptual and practical strategies for the data and information collection and analysis needs of a diverse group of institutions, ranging from small rural community colleges to large urban research institutions. The model framework is designed for use by any size or type of institution and gives a broad overview of various…
Descriptors: Audits (Verification), Colleges, Data Analysis, Data Collection