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Direct linkUanhoro, James Ohisei; O'Connell, Ann A. – AERA Online Paper Repository, 2018
There have been increasing calls for applied researchers to see and utilize effect sizes as the primary outcomes of their research. However, this sometimes places a methodological burden on researchers whose primary interests are substantive. Motivated by a desire to help applied researchers better report effect sizes and their confidence…
Descriptors: Effect Size, Computation, Statistical Analysis, Hierarchical Linear Modeling
Joo, Seang-hwane; Wang, Yan; Ferron, John M. – AERA Online Paper Repository, 2017
Multiple-baseline studies provide meta-analysts the opportunity to compute effect sizes based on either within-series comparisons of treatment phase to baseline phase observations, or time specific between-series comparisons of observations from those that have started treatment to observations of those that are still in baseline. The advantage of…
Descriptors: Meta Analysis, Effect Size, Hierarchical Linear Modeling, Computation
Pustejovsky, James Eric – AERA Online Paper Repository, 2017
Methods for meta-analyzing single-case designs (SCDs) are needed in order to inform evidence based practice in special education and to draw broader and more defensible generalizations in areas where SCDs comprise a large part of the research base. The most widely used outcomes in single-case research are measures of behavior collected using…
Descriptors: Effect Size, Research Design, Meta Analysis, Observation
Download full textMiller, Angie L. – Association for Institutional Research (NJ1), 2011
The frequent use of self-report student surveys in higher education calls into question the possibility of social desirability having an unwanted influence on responses. This research explores the potential presence of social desirability bias with the National Survey of Student Engagement (NSSE), a widely used assessment of student behaviors.…
Descriptors: Social Desirability, Bias, College Students, Student Surveys
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
Daniel, Thomas – 1992
This paper studies statistical procedures used in the "Journal of Research in Music Education" (JRME) over a 5-year period (1987 through 1991). The results are compared with those of L. D. Goodwin and W. L. Goodwin (1985) concerning the "American Educational Research Journal" for the same period. In all, 78 quantitative and 31…
Descriptors: Computation, Computer Software, Educational Research, Educational Trends
