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Suh, Youngsuk – Journal of Educational Measurement, 2016
This study adapted an effect size measure used for studying differential item functioning (DIF) in unidimensional tests and extended the measure to multidimensional tests. Two effect size measures were considered in a multidimensional item response theory model: signed weighted P-difference and unsigned weighted P-difference. The performance of…
Descriptors: Effect Size, Goodness of Fit, Statistical Analysis, Statistical Significance
Glazerman, Steve; Dotter, Dallas – Mathematica Policy Research, Inc., 2016
We estimate school-choice preferences revealed by the rank-ordered lists submitted by more than 22,000 applicants to a citywide lottery for more than 200 traditional and charter public schools in Washington, DC. The results confirm previously reported findings that commuting distance, school demographics, and academic indicators play important…
Descriptors: Charter Schools, School Choice, Simulation, Selective Admission
Gillespie, Steven – ProQuest LLC, 2013
The primary purpose of this quantitative study was to examine if simulation training correlated with the decision-making abilities of firefighters from two departments (one in a mountain state and one in a southwest state). The other purposes were to determine if firefighter demographics were correlated with the completion of the simulation…
Descriptors: Fire Protection, Fire Science Education, Training, Simulation
Bloom, Howard S.; Porter, Kristin E.; Weiss, Michael J.; Raudenbush, Stephen – Society for Research on Educational Effectiveness, 2013
To date, evaluation research and policy analysis have focused mainly on average program impacts and paid little systematic attention to their variation. Recently, the growing number of multi-site randomized trials that are being planned and conducted make it increasingly feasible to study "cross-site" variation in impacts. Important…
Descriptors: Research Methodology, Policy, Evaluation Research, Randomized Controlled Trials
Olson, Susan L. – ProQuest LLC, 2013
High-fidelity simulation (HFS) use in nursing education has been a frequent research topic in recent years. Previous research included studies on the use of HFS with nursing students, focusing on their feelings of self-confidence and anxiety. However, research focused specifically on the debriefing portion of HFS was limited. This quantitative,…
Descriptors: Nursing Education, Nursing Students, Simulation, Retention (Psychology)
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
Carvajal, Jorge; Skorupski, William P. – Educational and Psychological Measurement, 2010
This study is an evaluation of the behavior of the Liu-Agresti estimator of the cumulative common odds ratio when identifying differential item functioning (DIF) with polytomously scored test items using small samples. The Liu-Agresti estimator has been proposed by Penfield and Algina as a promising approach for the study of polytomous DIF but no…
Descriptors: Test Bias, Sample Size, Test Items, Computation
Lemons, Christopher J. – Evaluation & Research in Education, 2009
Researchers conducting studies involving individuals with exceptionalities are often prevented from involving large numbers of participants in their study samples. When this is the case, some say significant correlations are likely to replicate because the relation between two variables must be robust enough to be detected even with low…
Descriptors: Correlation, Statistical Significance, Sample Size, Statistical Analysis
Morse, Catherine J. – ProQuest LLC, 2012
Debriefing has been identified as an essential element of experiential learning in high-fidelity human patient simulation (HPS); however, identification of best practices in conducting debriefing sessions is lacking in the literature (Dreifuerst, 2009, 2012; Issenberg & Scalese, 2008; Jeffries, 2005). Nonetheless, it has been proposed that…
Descriptors: Nursing Education, Nursing Students, Reflection, Experiential Learning
Beebe, Rosella I. – ProQuest LLC, 2012
This study examined the relationship between human patient simulation (HPS), critical thinking skills, and knowledge acquisition after HPS was integrated across the curriculum of an associate degree nursing program to determine if differences existed in critical thinking and knowledge of students based on the fidelity of HPS used and amount of…
Descriptors: Nursing Education, Nursing Students, Associate Degrees, Fidelity
Mueller, Lorin M.; Dunleavy, Eric M.; Buonasera, Ash K. – New Directions for Institutional Research, 2008
This article familiarizes readers with how to analyze personnel selection decisions in employment discrimination litigation. First, the authors outline some of the basic legal principles that serve as the basis for analyses related to claims of discriminatory employment practices. Second, they describe how to conduct a scientific investigation of…
Descriptors: Employment Practices, Equal Opportunities (Jobs), Personnel Selection, Statistical Significance
Hedges, Larry V. – Journal of Educational and Behavioral Statistics, 2007
A common mistake in analysis of cluster randomized trials is to ignore the effect of clustering and analyze the data as if each treatment group were a simple random sample. This typically leads to an overstatement of the precision of results and anticonservative conclusions about precision and statistical significance of treatment effects. This…
Descriptors: Statistical Significance, Computation, Cluster Grouping, Statistics
Peer reviewedHakstian, A. Ralph; And Others – Multivariate Behavioral Research, 1980
The procedures yielding confidence intervals for maximized alpha coefficients of Joe and Woodward are reviewed. Confidence interval procedures of Whalen and Masson are next reviewed. Results are then presented of a Monte Carlo investigation of the procedures. (Author/CTM)
Descriptors: Reliability, Research Reviews (Publications), Simulation, Statistical Analysis
Peer reviewedAshler, Daniel – Journal of Educational Statistics, 1979
The negative bias of biserial correlations in the presence of guessing is demonstrated by Monte Carlo studies, and another estimator is described that is free of such bias. The usual biserial-correlation assumptions and assumptions about guessing are discussed. Brogden's coefficient of selective efficiency and the triserial correlation are…
Descriptors: Correlation, Guessing (Tests), Item Analysis, Simulation
Mecklin, Christopher J. – 2002
Whether one should use null hypothesis testing, confidence intervals, and/or effect sizes is a source of continuing controversy in educational research. An alternative to testing for statistical significance, known as equivalence testing, is little used in educational research. Equivalence testing is useful in situations where the researcher…
Descriptors: Educational Research, Effect Size, Hypothesis Testing, Sample Size
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