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Showing 1 to 15 of 18 results Save | Export
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Levy, Roy – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Roy Levy describes Bayesian approaches to psychometric modeling. He discusses how Bayesian inference is a mechanism for reasoning in a probability-modeling framework and is well-suited to core problems in educational measurement: reasoning from student performances on an assessment to make inferences about their…
Descriptors: Bayesian Statistics, Psychometrics, Item Response Theory, Statistical Inference
Hicks, Tyler; Rodríguez-Campos, Liliana; Choi, Jeong Hoon – American Journal of Evaluation, 2018
To begin statistical analysis, Bayesians quantify their confidence in modeling hypotheses with priors. A prior describes the probability of a certain modeling hypothesis apart from the data. Bayesians should be able to defend their choice of prior to a skeptical audience. Collaboration between evaluators and stakeholders could make their choices…
Descriptors: Bayesian Statistics, Evaluation Methods, Statistical Analysis, Hypothesis Testing
Porter, Kristin E.; Balu, Rekha – MDRC, 2016
Education systems are increasingly creating rich, longitudinal data sets with frequent, and even real-time, data updates of many student measures, including daily attendance, homework submissions, and exam scores. These data sets provide an opportunity for district and school staff members to move beyond an indicators-based approach and instead…
Descriptors: Models, Prediction, Statistical Analysis, Elementary Secondary Education
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Gemici, Sinan; Rojewski, Jay W.; Lee, In Heok – International Journal of Training Research, 2012
Evaluations of vocational education and training (VET) programs play a key role in informing training policy in Australia and elsewhere. Increasingly, such evaluations use observational data from surveys or administrative collections to assess the effectiveness of VET programs and interventions. The difficulty associated with using observational…
Descriptors: Vocational Education, Educational Research, Probability, Statistical Analysis
Tipton, Elizabeth; Sullivan, Kate; Hedges, Larry; Vaden-Kiernan, Michael; Borman, Geoffrey; Caverly, Sarah – Society for Research on Educational Effectiveness, 2011
In this paper the authors present a new method for sample selection for scale-up experiments. This method uses propensity score matching methods to create a sample that is similar in composition to a well-defined generalization population. The method they present is flexible and practical in the sense that it identifies units to be targeted for…
Descriptors: Sampling, Selection, Research Methodology, Reading Programs
Valliant, Richard; Dever, Jill A.; Kreuter, Frauke – Springer, 2013
Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This book serves at least…
Descriptors: Sampling, Surveys, Computer Software, College Students
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Coffman, Donna L. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
Mediation is usually assessed by a regression-based or structural equation modeling (SEM) approach that we refer to as the classical approach. This approach relies on the assumption that there are no confounders that influence both the mediator, "M", and the outcome, "Y". This assumption holds if individuals are randomly…
Descriptors: Structural Equation Models, Simulation, Regression (Statistics), Probability
Grossman, Jean Baldwin – Public/Private Ventures, 2009
This methodological brief is designed to provide both program operators and researchers with practical advice about how to assess a program's implementation and impact. Adapted from an article that first appeared in "The Handbook of Youth Mentoring" (DuBois and Karcher, ed. 2005), the brief focuses on the evaluation of mentoring programs, but the…
Descriptors: Mentors, Evaluation, Program Implementation, Intervention
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Meyer, Ilan H.; Wilson, Patrick A. – Journal of Counseling Psychology, 2009
Sampling has been the single most influential component of conducting research with lesbian, gay, and bisexual (LGB) populations. Poor sampling designs can result in biased results that will mislead other researchers, policymakers, and practitioners. Investigators wishing to study LGB populations must therefore devote significant energy and…
Descriptors: Research Design, Sampling, Homosexuality, Probability
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Rutkowski, Leslie; Gonzalez, Eugenio; Joncas, Marc; von Davier, Matthias – Educational Researcher, 2010
The technical complexities and sheer size of international large-scale assessment (LSA) databases often cause hesitation on the part of the applied researcher interested in analyzing them. Further, inappropriate choice or application of statistical methods is a common problem in applied research using these databases. This article serves as a…
Descriptors: Research Methodology, Measures (Individuals), Data Analysis, Databases
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Teddlie, Charles; Yu, Fen – Journal of Mixed Methods Research, 2007
This article presents a discussion of mixed methods (MM) sampling techniques. MM sampling involves combining well-established qualitative and quantitative techniques in creative ways to answer research questions posed by MM research designs. Several issues germane to MM sampling are presented including the differences between probability and…
Descriptors: Sampling, Probability, Research Methodology, Research Design
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Moore, Rob – British Journal of Sociology of Education, 2004
This paper attempts to explicate and locate the concept of 'cultural capital' in terms of Pierre Bourdieu's more general theory of the forms of capital and their transubstantiations. It examines the manner in which the relationship between the economic field, and its relations of inequality and power, and the cultural field involves a process of…
Descriptors: Probability, Power Structure, Social Capital, Social Status
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Jones, W. P. – Journal of Visual Impairment and Blindness, 1991
A model is proposed for the clinical synthesis of data from psychological tests of persons with visual impairments. The model integrates the concepts of the ideal type and Bayesian probability and compares actual test scores with ideal scores through use of a pattern similarity coefficient. A pilot study with Business Enterprise Program operators…
Descriptors: Business Education, Clinical Psychology, Models, Predictive Measurement
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Rossi, Robert J.; Wolman, Jean M. – Journal of Special Education, 1988
Project MAP (Model Accounting Plan) is a demographic accounting model for monitoring the transitions of special education students through the school system and after graduation. MAP predicts the students' paths, considering the student's age, handicap, and instructional setting. Discussed are a pilot test and the model's potential benefits and…
Descriptors: Disabilities, Elementary Secondary Education, Expectation, Models
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Nichols, James D. – Bioscience, 1992
Describes advances in capture-recapture modeling, including the biologically motivated emphasis on model-based hypothesis testing and the development of models for spatially stratified populations. Discusses the severe problems associated with count statistics reflecting unknown sampling fractions. (67 references) (KR)
Descriptors: Ecological Factors, Estimation (Mathematics), Higher Education, Mathematical Models
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