NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)1
Since 2006 (last 20 years)9
Audience
Researchers2
Location
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 58 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Barry, Adam E.; Szucs, Leigh E.; Reyes, Jovanni V.; Ji, Qian; Wilson, Kelly L.; Thompson, Bruce – Health Education & Behavior, 2016
Given the American Psychological Association's strong recommendation to always report effect sizes in research, scholars have a responsibility to provide complete information regarding their findings. The purposes of this study were to (a) determine the frequencies with which different effect sizes were reported in published, peer-reviewed…
Descriptors: Effect Size, Periodicals, Professional Associations, Journal Articles
Peer reviewed Peer reviewed
Direct linkDirect link
Vacha-Haase, Tammi; Thompson, Bruce – Measurement and Evaluation in Counseling and Development, 2011
The present study was conducted to characterize (a) the features of the thousands of primary reports synthesized in 47 reliability generalization (RG) measurement meta-analysis studies and (b) typical methodological practice within the RG literature to date. With respect to the treatment of score reliability in the literature, in an astounding…
Descriptors: Reliability, Generalization, Scores, Meta Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Skidmore, Susan Troncoso; Thompson, Bruce – Educational and Psychological Measurement, 2010
The purpose of the present study is to provide a historical account and metasynthesis of which statistical techniques are most frequently used in the fields of education and psychology. Six articles reviewing the "American Educational Research Journal" from 1969 to 1997 and five articles reviewing the psychological literature from 1948 to 2001…
Descriptors: Educational Research, Meta Analysis, Synthesis, Statistical Studies
Peer reviewed Peer reviewed
Direct linkDirect link
Thompson, Bruce – Middle Grades Research Journal, 2009
The present article provides a primer on using effect sizes in research. A small heuristic data set is used in order to make the discussion concrete. Additionally, various admonitions for best practice in reporting and interpreting effect sizes are presented. Among these is the admonition to not use Cohen's benchmarks for "small," "medium," and…
Descriptors: Educational Research, Effect Size, Computation, Research Methodology
Peer reviewed Peer reviewed
Direct linkDirect link
Capraro, Robert M.; Thompson, Bruce – Journal of Educational Research, 2008
Researchers have conducted studies of curriculum for doctoral students in various disciplines and subdisciplines. In this study, the authors examined methods (e.g., quantitative, qualitative, mixed methods) requirements for doctoral programs in education. Such requirements operationalize visions about the meaning of educational research and the…
Descriptors: Methods Courses, Educational Research, Research Methodology, Doctoral Programs
Peer reviewed Peer reviewed
Direct linkDirect link
Harrison, Judith; Thompson, Bruce; Vannest, Kimberly J. – Review of Educational Research, 2009
This article reviews the literature on interventions targeting the academic performance of students with attention-deficit/hyperactivity disorder (ADHD) and does so within the context of the statistical significance testing controversy. Both the arguments for and against null hypothesis statistical significance tests are reviewed. Recent standards…
Descriptors: Educational Research, Academic Achievement, Statistical Significance, Effect Size
Peer reviewed Peer reviewed
Direct linkDirect link
Thompson, Bruce – Psychology in the Schools, 2007
The present article provides a primer on (a) effect sizes, (b) confidence intervals, and (c) confidence intervals for effect sizes. Additionally, various admonitions for reformed statistical practice are presented. For example, a very important implication of the realization that there are dozens of effect size statistics is that "authors must…
Descriptors: Intervals, Effect Size, Statistical Analysis, Statistical Significance
Peer reviewed Peer reviewed
Thompson, Bruce; Diamond, Karen E.; McWilliam, Robin; Snyder, Patricia; Snyder, Scott W. – Exceptional Children, 2005
Only true experiments offer definitive evidence for causal inferences, but not all educational interventions are readily amenable to experiments. Correlational evidence can at least tentatively inform evidence-based practice when sophisticated causal modeling or exclusion methods are employed. Correlational evidence is most informative when…
Descriptors: Intervals, Inferences, Research Methodology, Correlation
Peer reviewed Peer reviewed
Odom, Samuel L.; Brantlinger, Ellen; Gersten, Russell; Horner, Robert H.; Thompson, Bruce; Harris, Karen R. – Exceptional Children, 2005
This article sets the context for the development of research quality indicators and guidelines for evidence of effective practices provided by different methodologies. The current conceptualization of scientific research in education and the complexity of conducting research in special education settings underlie the development of quality…
Descriptors: Scientific Research, Special Education, Research Methodology
Thompson, Bruce – Online Submission, 2007
Arthur Levine's (2007) recent report on the academic preparation of education doctoral students, Educating Researchers, http://www.edschools.org/EducatingResearchers/educating_researchers.pdf is highly critical of both AERA and the scholarly training of education doctoral students. One criticism Levine (2007) offers is his view that educational…
Descriptors: Educational Research, Educational Researchers, Graduate Students, Research Methodology
Thompson, Bruce – 1997
Given some consensus that statistical significance tests are broken, misused, or at least have somewhat limited utility, the focus of discussion within the field ought to move beyond additional bashing of statistical significance tests, and toward more constructive suggestions for improved practice. Five suggestions for improved practice are…
Descriptors: Effect Size, Research Methodology, Statistical Significance, Test Use
Peer reviewed Peer reviewed
Thompson, Bruce – Measurement and Evaluation in Counseling and Development, 1991
Explains basic logic of canonical analysis, illustrates that canonical analysis is general parametric analytic method subsuming other methods, and offers guidelines regarding use of this analytic approach. Concludes that canonical analysis is potent because it does not require researcher to discard variance of any variables and because it honors…
Descriptors: Data Analysis, Multivariate Analysis, Research Methodology, Statistical Analysis
Peer reviewed Peer reviewed
Henson, Robin K.; Thompson, Bruce – Measurement and Evaluation in Counseling and Development, 2002
T. Vacha-Haase (1998) proposed her "reliability generalization" methodology to characterize (a) typical score reliability for a measure across studies, (b) the variability of score reliabilities, and (c) what measurement protocol features predict the variability in score reliabilities across administration. The present article provides…
Descriptors: Error of Measurement, Generalization, Psychometrics, Research Methodology
Peer reviewed Peer reviewed
Direct linkDirect link
Vacha-Haase, Tammi; Thompson, Bruce – Journal of Counseling Psychology, 2004
The present article presents a tutorial on how to estimate and interpret various effect sizes. The 5th edition of the Publication Manual of the American Psychological Association (2001) described the failure to report effect sizes as a "defect" (p. 5), and 23 journals have published author guidelines requiring effect size reporting. Although…
Descriptors: Effect Size, Research Methodology, Computation, Data Interpretation
Peer reviewed Peer reviewed
Thompson, Bruce – Educational and Psychological Measurement, 1995
Three problems with stepwise research methods are explored. Computer packages may use incorrect degrees of freedom in stepwise computations. In addition, stepwise methods do not identify correctly the best variable set of a given size. A third problem is that stepwise methods tend to capitalize on sampling error. (SLD)
Descriptors: Discriminant Analysis, Error of Measurement, Research Methodology, Research Problems
Previous Page | Next Page ยป
Pages: 1  |  2  |  3  |  4