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Dogan, C. Deha – Eurasian Journal of Educational Research, 2017
Background: Most of the studies in academic journals use p values to represent statistical significance. However, this is not a good indicator of practical significance. Although confidence intervals provide information about the precision of point estimation, they are, unfortunately, rarely used. The infrequent use of confidence intervals might…
Descriptors: Sampling, Statistical Inference, Periodicals, Intervals
Köksal, Mustafa Serdar; Ertekin, Pelin; Çolakoglu, Özgür Murat – Educational Sciences: Theory and Practice, 2014
The purpose of this study is to investigate association of data collectors' differences with the differences in reliability and validity of scores regarding affective variables (motivation toward science learning and science attitude) that are measured by Likert-type scales. Four researchers trained in data collection and seven science teachers…
Descriptors: Data Collection, Reliability, Construct Validity, Likert Scales
Méndez, David I.; Alcaraz, M. Ángeles – Information Research: An International Electronic Journal, 2016
Introduction: We report an investigation on collaboration practices in research papers published in the most prestigious English-medium astrophysics journals. Method: We propose an evaluation method based on three numerical indicators to study and compare, in absolute terms, three different types of collaboration (international, national and…
Descriptors: Scientific Research, Researchers, Cooperation, Astronomy
Ruscio, John; Gera, Benjamin Lee – Multivariate Behavioral Research, 2013
Researchers are strongly encouraged to accompany the results of statistical tests with appropriate estimates of effect size. For 2-group comparisons, a probability-based effect size estimator ("A") has many appealing properties (e.g., it is easy to understand, robust to violations of parametric assumptions, insensitive to outliers). We review…
Descriptors: Psychological Studies, Gender Differences, Researchers, Test Results
Buchanan, Taylor L.; Lohse, Keith R. – Measurement in Physical Education and Exercise Science, 2016
We surveyed researchers in the health and exercise sciences to explore different areas and magnitudes of bias in researchers' decision making. Participants were presented with scenarios (testing a central hypothesis with p = 0.06 or p = 0.04) in a random order and surveyed about what they would do in each scenario. Participants showed significant…
Descriptors: Researchers, Attitudes, Statistical Significance, Bias
Newman, Denis; Jaciw, Andrew P. – Empirical Education Inc., 2012
The motivation for this paper is the authors' recent work on several randomized control trials in which they found the primary result, which averaged across subgroups or sites, to be moderated by demographic or site characteristics. They are led to examine a distinction that the Institute of Education Sciences (IES) makes between "confirmatory"…
Descriptors: Educational Research, Research Methodology, Research Design, Classification
Liu, Lewis G. – Library Quarterly, 2011
This empirical research investigates subscription price variations of scholarly journals in five business subject-specific areas using the semilogarithmic regression model. It has two main purposes. The first is to address the unsettled debate over whether or not and to what extent commercial publishers reap monopoly profits by overcharging…
Descriptors: Academic Libraries, Periodicals, Business Education, Regression (Statistics)
Monterde-i-Bort, Hector; Frias-Navarro, Dolores; Pascual-Llobell, Juan – European Journal of Psychology of Education, 2010
The empirical study we present here deals with a pedagogical issue that has not been thoroughly explored up until now in our field. Previous empirical studies in other sectors have identified the opinions of researchers about this topic, showing that completely unacceptable interpretations have been made of significance tests and other statistical…
Descriptors: Statistical Significance, Comparative Analysis, College Faculty, Researchers
Lipsey, Mark W.; Puzio, Kelly; Yun, Cathy; Hebert, Michael A.; Steinka-Fry, Kasia; Cole, Mikel W.; Roberts, Megan; Anthony, Karen S.; Busick, Matthew D. – National Center for Special Education Research, 2012
This paper is directed to researchers who conduct and report education intervention studies. Its purpose is to stimulate and guide them to go a step beyond reporting the statistics that emerge from their analysis of the differences between experimental groups on the respective outcome variables. With what is often very minimal additional effort,…
Descriptors: Intervention, Experimental Groups, Statistical Significance, Researchers
Peer reviewedYan, Bo; Slagle, Mike – ERS Spectrum, 2011
As schools turn to data-driven decision making to improve student achievement, research is playing an increasingly important role in local policy making. Researchers have worked to help policy makers better "understand" research with a focus on research design and method. How to better "use" research, however, has received little attention. This…
Descriptors: Evidence, Academic Achievement, Decision Making, Data
Keselman, H. J.; Miller, Charles W.; Holland, Burt – Psychological Methods, 2011
There have been many discussions of how Type I errors should be controlled when many hypotheses are tested (e.g., all possible comparisons of means, correlations, proportions, the coefficients in hierarchical models, etc.). By and large, researchers have adopted familywise (FWER) control, though this practice certainly is not universal. Familywise…
Descriptors: Validity, Statistical Significance, Probability, Computation
Dunst, Carl J.; Hamby, Deborah W. – Journal of Intellectual & Developmental Disability, 2012
This paper includes a nontechnical description of methods for calculating effect sizes in intellectual and developmental disability studies. Different hypothetical studies are used to illustrate how null hypothesis significance testing (NHST) and effect size findings can result in quite different outcomes and therefore conflicting results. Whereas…
Descriptors: Intervals, Developmental Disabilities, Statistical Significance, Effect Size
LaVergne, Douglas D.; Jones, Wash A.; Larke, Alvin, Jr.; Elbert, Chanda D. – Journal of Agricultural Education, 2012
Agricultural education teachers' attitudes about the perceptions of diversity inclusion in their programs are variables that may have a strong influence on the number of students that enroll in agricultural education. This study examines the effect of teachers' demographic and personal characteristics on their perceptions of the benefits of…
Descriptors: Agricultural Education, Sampling, Comparative Analysis, Researchers
Pike, Gary R.; Hansen, Michele J.; Lin, Ching-Hui – Research in Higher Education, 2011
The widespread popularity of programs for first-year students is due, in large part, to studies showing that participation in first-year programs is significantly related to students' academic success. Because students choose to participate in first-year programs, self-selection effects prevent researchers from making causal claims about the…
Descriptors: College Freshmen, Research Universities, Grade Point Average, Educational Experience
Dawes, Sandy – ProQuest LLC, 2011
This study investigated the effect School-Wide Positive Behavior Support had on special education students' achievement and office discipline referrals. Sixty-nine special education students from eight elementary schools participated in this study. Thirty-four participants were in the group with School-Wide Positive Behavior Support, and 35…
Descriptors: Special Education, Elementary School Students, Researchers, Positive Reinforcement

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