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Showing 1 to 15 of 18 results Save | Export
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Kang, Yoonjeong; Hancock, Gregory R. – Journal of Experimental Education, 2017
Structured means analysis is a very useful approach for testing hypotheses about population means on latent constructs. In such models, a z test is most commonly used for testing the statistical significance of the relevant parameter estimates or of the differences between parameter estimates, where a z value is computed based on the asymptotic…
Descriptors: Models, Statistical Analysis, Hypothesis Testing, Statistical Significance
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Jorgensen, Estelle R.; Ward-Steinman, Patrice Madura – Journal of Research in Music Education, 2015
The purpose of this study was to examine evidence of a hypothesized shift in the operative research paradigms in music education during the first quarter century of the publication of the "Journal of Research in Music Education," during the period 1953 to 1978. This shift was from humanities-oriented historical and philosophical studies…
Descriptors: Music Education, Educational Research, Educational History, Educational Change
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Bohrnstedt, G.; Kitmitto, S.; Ogut, B.; Sherman, D.; Chan, D. – National Center for Education Statistics, 2015
The School Composition and the Black-White Achievement Gap study was undertaken by the National Center for Education Statistics to present both descriptive and associative information on the relationships among the percentage of students in a school who were Black (referred to as "Black student density" or "density"), the…
Descriptors: School Demography, Racial Composition, Achievement Gap, African American Students
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Gelman, Andrew; Hill, Jennifer; Yajima, Masanao – Journal of Research on Educational Effectiveness, 2012
Applied researchers often find themselves making statistical inferences in settings that would seem to require multiple comparisons adjustments. We challenge the Type I error paradigm that underlies these corrections. Moreover we posit that the problem of multiple comparisons can disappear entirely when viewed from a hierarchical Bayesian…
Descriptors: Intervals, Comparative Analysis, Inferences, Error Patterns
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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
Fountain, Lily – Online Submission, 2011
This cross-sectional descriptive study of the Model of Domain Learning, which describes learners' progress from acclimation through competence to proficiency through the interplay of knowledge, interest and strategic processing/critical thinking (CT), examined its extension to maternity nursing. Based on the identified need for valid, reliable…
Descriptors: Nursing Education, Obstetrics, Nursing, Measures (Individuals)
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LeMire, Steven D. – Journal of Statistics Education, 2010
This paper proposes an argument framework for the teaching of null hypothesis statistical testing and its application in support of research. Elements of the Toulmin (1958) model of argument are used to illustrate the use of p values and Type I and Type II error rates in support of claims about statistical parameters and subject matter research…
Descriptors: Hypothesis Testing, Relationship, Statistical Significance, Models
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Schochet, Peter Z. – National Center for Education Evaluation and Regional Assistance, 2009
This paper examines the estimation of two-stage clustered RCT designs in education research using the Neyman causal inference framework that underlies experiments. The key distinction between the considered causal models is whether potential treatment and control group outcomes are considered to be fixed for the study population (the…
Descriptors: Control Groups, Causal Models, Statistical Significance, Computation
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Blouin, David C.; Riopelle, Arthur J. – Psychological Methods, 2005
Confidence intervals (CIs) for means are frequently advocated as alternatives to null hypothesis significance testing (NHST), for which a common theme in the debate is that conclusions from CIs and NHST should be mutually consistent. The authors examined a class of CIs for which the conclusions are said to be inconsistent with NHST in…
Descriptors: Intervals, Hypothesis Testing, Generalization, Statistical Significance
Brewer, Robert A. – Online Submission, 2007
This manuscript examines the practical differences between quantitative and qualitative inquiry by comparing the differences between one article from each paradigm. Quantitative research differs greatly from qualitative inquiry in purpose, assumptions, methodology, and representation. While quantitative research has been the dominant paradigm for…
Descriptors: Statistical Analysis, Research Methodology, Qualitative Research, Models
Leik, Robert K.; Gove, Walter R. – Amer J Sociol, 1969
Descriptors: Interpersonal Relationship, Models, Research Methodology, Sociology
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McNamara, James F. – Educational Administration Quarterly, 1978
The results of an extensive analysis of the statistical methodology employed by researchers whose manuscripts were published in the first twelve volumes of the "Educational Administration Quarterly" are reported. (Author)
Descriptors: Analysis of Variance, Data Analysis, Educational Research, Models
Proper, Elizabeth C. – 1971
Texts often suggest running preliminary tests for homogeneity of variance prior to running an ANOVA. While it has been known for some time that most of the suggested tests are probably not appropriate, they are still being used. This paper is a review of the literature in terms of the implications involved in running preliminary tests in general…
Descriptors: Analysis of Variance, Hypothesis Testing, Literature Reviews, Models
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McClure, John; Suen, Hoi K. – Topics in Early Childhood Special Education, 1994
This article compares three models that have been the foundation for approaches to the analysis of statistical significance in early childhood research--the Fisherian and the Neyman-Pearson models (both considered "classical" approaches), and the Bayesian model. The article concludes that all three models have a place in the analysis of research…
Descriptors: Bayesian Statistics, Early Childhood Education, Educational Research, Hypothesis Testing
Miller, Michael K.; Farmer, Frank L. – 1986
Theories employed to explain regularities in social behavior often contain explicit or implicit reference to the presence of nonlinear and/or nonadditive (i.e., multiplicative) relationships among germane variables. While such nonadditive features are theoretically important, the inclusion of quadratic or multiplicative terms in structural…
Descriptors: Data Analysis, Hypothesis Testing, Interaction, Models
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