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Caspar J. Van Lissa; Eli-Boaz Clapper; Rebecca Kuiper – Research Synthesis Methods, 2024
The product Bayes factor (PBF) synthesizes evidence for an informative hypothesis across heterogeneous replication studies. It can be used when fixed- or random effects meta-analysis fall short. For example, when effect sizes are incomparable and cannot be pooled, or when studies diverge significantly in the populations, study designs, and…
Descriptors: Hypothesis Testing, Evaluation Methods, Replication (Evaluation), Sample Size
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Mikkel Helding Vembye; James Eric Pustejovsky; Therese Deocampo Pigott – Research Synthesis Methods, 2024
Sample size and statistical power are important factors to consider when planning a research synthesis. Power analysis methods have been developed for fixed effect or random effects models, but until recently these methods were limited to simple data structures with a single, independent effect per study. Recent work has provided power…
Descriptors: Sample Size, Robustness (Statistics), Effect Size, Social Science Research
Vaske, Jerry J. – Sagamore-Venture, 2019
Data collected from surveys can result in hundreds of variables and thousands of respondents. This implies that time and energy must be devoted to (a) carefully entering the data into a database, (b) running preliminary analyses to identify any problems (e.g., missing data, potential outliers), (c) checking the reliability and validity of the…
Descriptors: Surveys, Theories, Hypothesis Testing, Effect Size
Pane, John F.; Griffin, Beth Ann; McCaffrey, Daniel F.; Karam, Rita – RAND Corporation, 2014
This addendum to previously published results presents alternative analyses of data from large-scale effectiveness studies of Cognitive Tutor Algebra I in middle schools and high schools. These alternative analyses produce results that are substantively the same as previously reported. We find a significant positive effect of 0.21 standard…
Descriptors: Algebra, Statistical Significance, Pretests Posttests, Reader Response
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May, Henry; Perez-Johnson, Irma; Haimson, Joshua; Sattar, Samina; Gleason, Phil – National Center for Education Evaluation and Regional Assistance, 2009
Securing data on students' academic achievement is typically one of the most important and costly aspects of conducting education experiments. As state assessment programs have become practically universal and more uniform in terms of grades and subjects tested, the relative appeal of using state tests as a source of study outcome measures has…
Descriptors: Testing Programs, Academic Achievement, Researchers, Educational Research
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Atkins, David C.; Bedics, Jamie D.; Mcglinchey, Joseph B.; Beauchaine, Theodore P. – Journal of Consulting and Clinical Psychology, 2005
Measures of clinical significance are frequently used to evaluate client change during therapy. Several alternatives to the original method devised by N. S. Jacobson, W. C. Follette, & D. Revenstorf (1984) have been proposed, each purporting to increase accuracy. However, researchers have had little systematic guidance in choosing among…
Descriptors: Psychotherapy, Statistical Significance, Outcomes of Treatment, Behavior Change
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Steckelberg, Allen L.; Li, Lan; Liu, Xiongyi; Kozak, Mike – Computers in the Schools, 2008
This article describes the development of a Web-based instrument that is part of a strategic planning initiative in technology in K-12 schools in Nebraska. The instrument provides rubrics for self-assessment of essential conditions necessary for integrating and adopting of technology. Essential conditions were defined by an extended panel of…
Descriptors: Strategic Planning, Needs Assessment, Effect Size, Educational Technology
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Wang, Wen-Chung; Chen, Hsueh-Chu – Educational and Psychological Measurement, 2004
As item response theory (IRT) becomes popular in educational and psychological testing, there is a need of reporting IRT-based effect size measures. In this study, we show how the standardized mean difference can be generalized into such a measure. A disattenuation procedure based on the IRT test reliability is proposed to correct the attenuation…
Descriptors: Test Reliability, Rating Scales, Sample Size, Error of Measurement