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Raykov, Tenko; Calvocoressi, Lisa – Educational and Psychological Measurement, 2021
A procedure for evaluating the average R-squared index for a given set of observed variables in an exploratory factor analysis model is discussed. The method can be used as an effective aid in the process of model choice with respect to the number of factors underlying the interrelationships among studied measures. The approach is developed within…
Descriptors: Factor Analysis, Structural Equation Models, Statistical Analysis, Selection
Fávero, Luiz Paulo; Souza, Rafael de Freitas; Belfiore, Patrícia; Corrêa, Hamilton Luiz; Haddad, Michel F. C. – Practical Assessment, Research & Evaluation, 2021
In this paper is proposed a straightforward model selection approach that indicates the most suitable count regression model based on relevant data characteristics. The proposed selection approach includes four of the most popular count regression models (i.e. Poisson, negative binomial, and respective zero-inflated frameworks). Moreover, it…
Descriptors: Regression (Statistics), Selection, Statistical Analysis, Models
Westgate, Martin J. – Research Synthesis Methods, 2019
The field of evidence synthesis is growing rapidly, with a corresponding increase in the number of software tools and workflows to support the construction of systematic reviews, systematic maps, and meta-analyses. Despite much progress, however, a number of problems remain, including slow integration of new statistical or methodological…
Descriptors: Computer Software, Statistical Analysis, Meta Analysis, Users (Information)
Rohwer, Goetz – Sociological Methods & Research, 2015
The heterogeneous choice model (HCM) has been proposed as an extension of the standard logit and probit models, which allows taking into account different error variances of explanatory variables. In this note, I show that in an important special case, this model is just another way to specify an interaction effect.
Descriptors: Models, Statistical Analysis, Selection, Error of Measurement
Backenköhler, Michael; Scherzinger, Felix; Singla, Adish; Wolf, Verena – International Educational Data Mining Society, 2018
Course selection can be a daunting task, especially for first year students. Sub-optimal selection can lead to bad performance of students and increase the dropout rate. Given the availability of historic data about student performances, it is possible to aid students in the selection of appropriate courses. Here, we propose a method to compose a…
Descriptors: Data, Course Selection (Students), Information Utilization, Individualized Instruction
Schmidt, Frank L. – Research Synthesis Methods, 2015
In this article, I provide answers to the questions posed by Will Shadish about the history and development of the Schmidt-Hunter methods of meta-analysis. In the 1970s, I headed a research program on personnel selection at the US Office of Personnel Management (OPM). After our research showed that validity studies have low statistical power, OPM…
Descriptors: Meta Analysis, Test Validity, Measurement, Predictive Validity
McCoach, D. Betsy; Black, Anne C. – New Directions for Institutional Research, 2012
This article is designed to give the reader a conceptual, nontechnical overview of estimation and model fit issues in multilevel modeling (MLM). The process of MLM generally involves fitting a series of multilevel models that increase in complexity. When conducting multilevel analyses, it is important to balance the need for complexity and the…
Descriptors: Institutional Research, Statistical Analysis, Models, Computation
Magis, David; Raiche, Gilles; Beland, Sebastien – Journal of Educational and Behavioral Statistics, 2012
This paper focuses on two likelihood-based indices of person fit, the index "l[subscript z]" and the Snijders's modified index "l[subscript z]*". The first one is commonly used in practical assessment of person fit, although its asymptotic standard normal distribution is not valid when true abilities are replaced by sample…
Descriptors: Goodness of Fit, Item Response Theory, Computation, Ability
Sparks, Sarah D. – Education Week, 2011
The use of analytic tools to predict student performance is exploding in higher education, and experts say the tools show even more promise for K-12 schools, in everything from teacher placement to dropout prevention. Use of such statistical techniques is hindered in precollegiate schools, however, by a lack of researchers trained to help…
Descriptors: Elementary Secondary Education, Statistical Analysis, Prediction, Public Education
Weiss, Michael J. – Journal of Research on Educational Effectiveness, 2010
In some experimental evaluations of classroom-level interventions it is not practically feasible to randomly assign teachers to experimental conditions. Given such restrictions, researchers may randomly assign students to experimental conditions and consider the teacher to be a part of the intervention. However, in an individually randomized…
Descriptors: Control Groups, Research Design, Intervention, Teacher Selection
Halpin, Peter F.; Maraun, Michael D. – Multivariate Behavioral Research, 2010
A method for selecting between K-dimensional linear factor models and (K + 1)-class latent profile models is proposed. In particular, it is shown that the conditional covariances of observed variables are constant under factor models but nonlinear functions of the conditioning variable under latent profile models. The performance of a convenient…
Descriptors: Models, Selection, Vocational Evaluation, Developmental Psychology
Imbens, Guido W. – Psychological Methods, 2010
In Shadish (2010) and West and Thoemmes (2010), the authors contrasted 2 approaches to causality. The first originated in the psychology literature and is associated with work by Campbell (e.g., Shadish, Cook, & Campbell, 2002), and the second has its roots in the statistics literature and is associated with work by Rubin (e.g., Rubin, 2006). In…
Descriptors: Economics, Research Methodology, Causal Models, Inferences
Butt, Graham – International Research in Geographical and Environmental Education, 2010
Researchers in geography education have access to a wide range of research methods, spanning the quantitative-qualitative continuum. However, the choice of which methods to employ in one's research has a direct impact on the subsequent quality of the research findings and should therefore be carefully considered. This paper briefly explores the…
Descriptors: Geography Instruction, Educational Research, Research Methodology, Selection
Burian, Philip E.; Rogerson, Lynda; Maffei, Francis R., III. – Contemporary Issues in Education Research, 2010
Performing research can be an overwhelming and challenging endeavor. It's easy to get confused just from collecting, reading and deciphering textbooks and journal articles. Getting organized and mapping out the entire process would be extremely helpful and more importantly provide a path for accomplishing the research project. This paper will…
Descriptors: Doctoral Programs, Doctoral Dissertations, Graduation Rate, Mentors
American Psychologist, 2009
Robert E. Ployhart, recipient of the Award for Distinguished Scientific Early Career Contributions to Psychology, is cited for innovative work in examining reactions to staffing practices and efforts to enhance the acceptability of recruitment and staffing practices; for exemplary use of applied statistical models in examining multilevel effects…
Descriptors: Recognition (Achievement), Personnel Selection, Psychology, Profiles
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