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Rosenthal, Robert – Research Synthesis Methods, 2015
In this interview, we discuss my early uses of meta-analytic procedures, first to combine "p"-values and then to combine effect sizes as well. My interest in quantifying the magnitude and the statistical significance of the effect of interpersonal expectations probably grew out of the following: (1) a long-held interest in the concept of…
Descriptors: Meta Analysis, Probability, Statistical Significance, Effect Size
Long, James – 2001
The fail-safe N is typically a "what if" analysis applied to studies rather than to a single study. This statistical procedure provides information regarding the stability of a meta-analysis by demonstrating how many nil-null articles would be needed to change the statistically significant results to a statistically nonsignificant…
Descriptors: Meta Analysis, Statistical Significance
Ray, Janet – 2002
The practical significance, usefulness, and generalizability of research have for years hinged on a finding of statistical significance. Voices of reform have called for the use of effect sizes, confidence intervals, and meta-analytic synthesis of research as a way to judge the practical significance and generalizability of a discovery. This paper…
Descriptors: Effect Size, Meta Analysis, Statistical Significance, Synthesis
Hetrick, Sam – 1999
Magnitude of effect (ME) statistics are an important alternative to statistical significance. Why methodologists encourage the use of ME indices as interpretation aids is explained, and different types of ME statistics are discussed. The basic concepts underlying effect size measures are reviewed, and how to compute them from published reports…
Descriptors: Computation, Effect Size, Meta Analysis, Research Methodology
Mahadevan, Lakshmi – 2000
Over the years, methodologists have been recommending that researchers use magnitude of effect estimates in result interpretation to highlight the distinction between statistical and practical significance (cf. R. Kirk, 1996). A magnitude of effect statistic (i.e., effect size) tells to what degree the dependent variable can be controlled,…
Descriptors: Data Analysis, Effect Size, Measurement Techniques, Meta Analysis
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Henson, Robin K. – Counseling Psychologist, 2006
Effect sizes are critical to result interpretation and synthesis across studies. Although statistical significance testing has historically dominated the determination of result importance, modern views emphasize the role of effect sizes and confidence intervals. This article accessibly discusses how to calculate and interpret the effect sizes…
Descriptors: Effect Size, Meta Analysis, Counseling Psychology, Psychological Studies
Brewer, Robert A. – Online Submission, 2007
This manuscript examines the practical differences between quantitative and qualitative inquiry by comparing the differences between one article from each paradigm. Quantitative research differs greatly from qualitative inquiry in purpose, assumptions, methodology, and representation. While quantitative research has been the dominant paradigm for…
Descriptors: Statistical Analysis, Research Methodology, Qualitative Research, Models
Haystead, Mark W. – Marzano Research Laboratory, 2009
This report summarizes the findings of an analysis of a series of action research projects conducted by Goshen Community Schools at the elementary, middle, and high school levels. During the 2008-2009 school year, 40 teachers participated in independent action research studies regarding the extent to which a six step approach to direct vocabulary…
Descriptors: Elementary School Students, Elementary School Teachers, Middle School Students, Middle School Teachers