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Sandra Jo Wilson; Brian Freeman; E. C. Hedberg – Grantee Submission, 2024
As reporting of effect sizes in evaluation studies has proliferated, researchers and consumers of research need tools for interpreting or benchmarking the magnitude of those effect sizes that are relevant to the intervention, target population, and outcome measure being considered. Similarly, researchers planning education studies with social and…
Descriptors: Benchmarking, Effect Size, Meta Analysis, Statistical Analysis
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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
Creswell, John W. – Pearson Education, Inc., 2015
"Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research" offers a truly balanced, inclusive, and integrated overview of the processes involved in educational research. This text first examines the general steps in the research process and then details the procedures for conducting specific types…
Descriptors: Educational Research, Qualitative Research, Statistical Analysis, Research Methodology
Klein, Sheri R., Ed. – Palgrave Macmillan, 2012
Among the plethora of action research books on the market, there is no one text exclusively devoted to understanding how to acquire and interpret research data. Action Research Methods provides a balanced overview of the quantitative and qualitative methodologies and methods for conducting action research within a variety of educational…
Descriptors: Action Research, Research Methodology, Ethics, Statistical Analysis
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Drummond, Gordon B.; Vowler, Sarah L. – Advances in Physiology Education, 2011
Experimental data are analysed statistically to allow researchers to draw conclusions from a limited set of measurements. The hard fact is that researchers can never be certain that measurements from a sample will exactly reflect the properties of the entire group of possible candidates available to be studied (although using a sample is often the…
Descriptors: Educational Research, Statistical Inference, Data Interpretation, Probability
Kotrlik, Joe W.; Williams, Heather A.; Jabor, M. Khata – Journal of Agricultural Education, 2011
The Journal of Agricultural Education (JAE) requires authors to follow the guidelines stated in the Publication Manual of the American Psychological Association [APA] (2009) in preparing research manuscripts, and to utilize accepted research and statistical methods in conducting quantitative research studies. The APA recommends the reporting of…
Descriptors: Agricultural Education, Statistical Significance, Effect Size, Educational Research
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Sun, Shuyan; Pan, Wei; Wang, Lihshing Leigh – Journal of Educational Psychology, 2010
Null hypothesis significance testing has dominated quantitative research in education and psychology. However, the statistical significance of a test as indicated by a p-value does not speak to the practical significance of the study. Thus, reporting effect size to supplement p-value is highly recommended by scholars, journal editors, and academic…
Descriptors: Effect Size, Statistical Inference, Statistical Significance, Data Interpretation
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Luan, Jing; Zhao, Chun-Mei – New Directions for Institutional Research, 2006
As a tour de force, data mining is likely to gain wider use in the next few years. To facilitate this transition, we make several recommendations addressed to both institutional research professionals and the Association of Institutional Research.
Descriptors: Institutional Research, Enrollment Management, Educational Research, Data Analysis
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Bracey, Gerald W. – Educational Leadership, 2006
Education statistics are rarely neutral; those who collect and analyze them have different purposes. In this article, Bracey discusses several principles of data interpretation to help educators avoid falling into statistical traps. For example, because such reports as A Nation At Risk contain many "selected, spun, distorted, and even manufactured…
Descriptors: Educational Research, Statistical Data, Data Interpretation, Statistical Analysis
Beins, Bernard C. – 1991
A study investigated the effect of writing in statistics classes on students' interpretation skills (translating the results of data analysis into verbal interpretations that are accessible to non-statisticians). One hundred twenty-two students in three statistics classes received either low, moderate, or high instructional emphasis in…
Descriptors: Content Area Writing, Data Interpretation, Educational Research, Higher Education
Johnston, Denis F. – 1981
This guide is designed to assist those readers of "The Condition of Education" and similar reports who may lack experience or confidence in reading and understanding statistical information. It serves four purposes (1) identifies and describes the principal features of statistical tables and charts; (2) presents a few illustrations of…
Descriptors: Charts, Data Interpretation, Educational Indicators, Educational Research
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Bohmer, Susanne K. – Feminist Teacher, 1989
Addresses the problem in an introductory women's studies course of student resistance to generalizing statements that document inequality in society. Discusses a presentation made to the class on the importance of generalizations in understanding sociological and political research findings, including statistics. Maintains that objections to…
Descriptors: Bias, Course Content, Course Descriptions, Data Interpretation
Evans, Elizabeth A. – 2001
A live demonstration of how a typical set of educational data can be examined using quantitative statistical software was conducted. The topic of tutorial support was chosen. Setting up a hypothetical research scenario, the researcher created 300 cases from random data generation adjusted to correct obvious error. Each case represented a student…
Descriptors: Computer Oriented Programs, Computer Software, Computer Uses in Education, Cost Effectiveness
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Meyer, John W.; Baker, David P. – Sociology of Education, 1996
Analyzes the use of relevant international data to inform educational policy. Notes that such data can be used to extend research on school effects by incorporating comparative data, by evaluating the trade-offs involved in attempts to raise national achievement levels, and by broadening the range of international data. (MJP)
Descriptors: Academic Achievement, Data Collection, Data Interpretation, Educational Development
Karst, Ralph R. – 1996
This brief report summarizes the results of a survey of professors of educational administration in the southern region of the United States, which sought to determine whether preparation programs were democratically administered. The survey included some demographic questions, 12 questions that asked respondents to rank preparation programs…
Descriptors: Curriculum Evaluation, Data Collection, Data Interpretation, Democratic Values