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Bayesian Statistics in Educational Research: A Look at the Current State of Affairs
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König, Christoph; van de Schoot, Rens – Educational Review, 2018
The ability of a scientific discipline to build cumulative knowledge depends on its predominant method of data analysis. A steady accumulation of knowledge requires approaches which allow researchers to consider results from comparable prior research. Bayesian statistics is especially relevant for establishing a cumulative scientific discipline,…
Descriptors: Bayesian Statistics, Educational Research, Educational Practices, Data Analysis
Students' Misconceptions of Statistical Inference: A Review of the Empirical Evidence from Research on Statistics Education
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Sotos, Ana Elisa Castro; Vanhoof, Stijn; Van den Noortgate, Wim; Onghena, Patrick – Educational Research Review, 2007
A solid understanding of "inferential statistics" is of major importance for designing and interpreting empirical results in any scientific discipline. However, students are prone to many misconceptions regarding this topic. This article structurally summarizes and describes these misconceptions by presenting a systematic review of publications…
Descriptors: Research Needs, Research Methodology, Statistical Inference, Statistics
Hierarchical Models for Educational Data: An Overview.
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Morris, Carl N. – Journal of Educational and Behavioral Statistics, 1995
Hierarchical models are extremely promising tools for data analysis, but it is important not to lessen hard thinking about data and iterative model checking when fitting hierarchical models. More and better software, methods to assure proper calibration, and materials in support of hierarchical model use are all needed. (SLD)
Descriptors: Computer Software Development, Educational Research, Research Methodology, Robustness (Statistics)
State of the Art in Statistical Significance Testing: A Review of the APA Task Force on Statistical Inference's Report and Current Trends.
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Smith, A. Delany; Henson, Robin K. – 2000
This paper addresses the state of the art regarding the use of statistical significance tests (SSTs). How social science research will be conducted in the future is impacted directly by current debates regarding hypothesis testing. This paper: (1) briefly explicates the current debate on hypothesis testing; (2) reviews the newly published report…
Descriptors: Hypothesis Testing, Research Methodology, Research Reports, Social Science Research
One-Tailed F-Tests in Communication Research.
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Levine, Timothy R.; Banas, John – Communication Monographs, 2002
Documents the recent use of one-tailed F-tests in communication journals, and examines the arguments both for and against their use. Examines the use of these tests within the broader unresolved controversy surrounding the use of one-tailed tests. Recommends that future researchers should most often avoid one-tailed Fs, and generally exercise…
Descriptors: Communication (Thought Transfer), Communication Research, Futures (of Society), Higher Education
Statistical Methodology Content Analysis of Selected Educational Research Journals.
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Kennedy, Robert L. – 1988
Sixty-seven educational research journals were investigated to determine the frequency of usage of inferential statistical techniques therein. The most frequently used statistical methodologies in the literature reviewed, which utilized inferential approaches, are the following: analysis of variance, correlation, t-test, multiple analysis of…
Descriptors: Content Analysis, Educational Research, Literature Reviews, Meta Analysis