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Showing 1 to 15 of 98 results Save | Export
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Magnus, Brooke E.; Liu, Yang – Educational and Psychological Measurement, 2022
Questionnaires inquiring about psychopathology symptoms often produce data with excess zeros or the equivalent (e.g., none, never, and not at all). This type of zero inflation is especially common in nonclinical samples in which many people do not exhibit psychopathology, and if unaccounted for, can result in biased parameter estimates when…
Descriptors: Symptoms (Individual Disorders), Psychopathology, Research Methodology, Probability
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Silva-Lugo, Jose L.; Warner, Laura A.; Galindo, Sebastian – Journal of Agricultural Education and Extension, 2022
Purpose: A literature research conducted in education and agricultural education journals published during a period of 10 years revealed that 98% of the studies used parametric analyses. In general, model assumptions were not tested, and statistical criteria were not followed to apply the parametric approach. The objective of this paper is to…
Descriptors: Agricultural Education, Nonparametric Statistics, Educational Research, Models
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Stamovlasis, Dimitrios – Complicity: An International Journal of Complexity and Education, 2017
This paper discusses investigations in science education addressing the nonlinear dynamical hypothesis. Learning science is a suitable field for applying interdisciplinary research and predominately for testing psychological theories. It was demonstrated that in this area the paradigm of complexity and nonlinear dynamics have offered theoretical…
Descriptors: Science Education, Educational Research, Research Methodology, Predictor Variables
Young, Jonathan – ProQuest LLC, 2017
Translational research (TR) is the process of bringing innovations from basic science into applied science, usually referring to the practice of medicine. It has been assumed that cross-disciplinary collaboration, or interdisciplinarity research (IDR), is essential to translation. Yet there is a gap in the literature regarding the interaction…
Descriptors: Interdisciplinary Approach, Medical Research, Medicine, Bibliometrics
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Wise, Alyssa Friend; Shaffer, David Williamson – Journal of Learning Analytics, 2015
It is an exhilarating and important time for conducting research on learning, with unprecedented quantities of data available. There is a danger, however, in thinking that with enough data, the numbers speak for themselves. In fact, with larger amounts of data, theory plays an ever-more critical role in analysis. In this introduction to the…
Descriptors: Learning Theories, Predictor Variables, Data, Data Analysis
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Dempsey, Jack; Dempsey, Allison G.; Guffey, Danielle; Minard, Charles G.; Goin-Kochel, Robin P. – Journal of Autism and Developmental Disorders, 2016
Self-injurious behaviors (SIB) are problematic for many children with autism spectrum disorders (ASD). Existing models to explain factors contributing to SIB fail to account for a large proportion of variance in SIB. This study attempted to explain a greater proportion of variance in SIB by addressing methodological/theoretical limitations in…
Descriptors: Pervasive Developmental Disorders, Injuries, Self Destructive Behavior, Adolescent Attitudes
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Gökçearslan, Sahin; Karademir, Tugra; Korucu, Agah Tugrul – Journal of Educational Computing Research, 2017
Technological Pedagogical Content Knowledge, one of the frameworks proposed in order to popularize the use of technology in a classroom environment, has been customized and has taken the form of Web Pedagogical Content Knowledge. The Relational Screening Model was used in this study. It aims to determine whether a profile of preservice teachers…
Descriptors: Foreign Countries, Preservice Teachers, Knowledge Level, Pedagogical Content Knowledge
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Vuolo, Mike – Sociological Methods & Research, 2017
Often in sociology, researchers are confronted with nonnormal variables whose joint distribution they wish to explore. Yet, assumptions of common measures of dependence can fail or estimating such dependence is computationally intensive. This article presents the copula method for modeling the joint distribution of two random variables, including…
Descriptors: Sociology, Research Methodology, Social Science Research, Models
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Kobayashi, Yuichiro; Abe, Mariko – Journal of Pan-Pacific Association of Applied Linguistics, 2016
The purpose of the present study is to assess second language (L2) spoken English using automated scoring techniques. Automated scoring aims to classify a large set of learners' oral performance data into a small number of discrete oral proficiency levels. In automated scoring, objectively measurable features such as the frequencies of lexical and…
Descriptors: Second Language Learning, Computer Assisted Testing, Scoring, Automation
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Weiss, Michael J.; Bloom, Howard S.; Verbitsky-Savitz, Natalya; Gupta, Himani; Vigil, Alma E.; Cullinan, Daniel N. – Journal of Research on Educational Effectiveness, 2017
Multisite trials, in which individuals are randomly assigned to alternative treatment arms within sites, offer an excellent opportunity to estimate the cross-site average effect of treatment assignment (intent to treat or ITT) "and" the amount by which this impact varies across sites. Although both of these statistics are substantively…
Descriptors: Randomized Controlled Trials, Evidence, Models, Intervention
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Wu, Meng-Jia; Becker, Betsy Jane – Research Synthesis Methods, 2013
Regression methods are widely used by researchers in many fields, yet methods for synthesizing regression results are scarce. This study proposes using a factored likelihood method, originally developed to handle missing data, to appropriately synthesize regression models involving different predictors. This method uses the correlations reported…
Descriptors: Regression (Statistics), Correlation, Research Methodology, Accuracy
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Matsuki, Kazunaga; Kuperman, Victor; Van Dyke, Julie A. – Scientific Studies of Reading, 2016
Studies investigating individual differences in reading ability often involve data sets containing a large number of collinear predictors and a small number of observations. In this article, we discuss the method of Random Forests and demonstrate its suitability for addressing the statistical concerns raised by such data sets. The method is…
Descriptors: Reading Ability, Statistical Analysis, Research Methodology, Inferences
Pigott, Therese D.; Williams, Ryan T.; Polanin, Joshua R.; Wu-Bohanon, Meng-Jia – Society for Research on Educational Effectiveness, 2012
The purpose of this research to investigate the heterogeneity of per-pupil expenditure (PPE) slope estimates in predicting student achievement. The research question guiding this project is: how does the measured relationship between per-pupil expenditure vary across studies that use different models? In concert with SREE's 2012 conference mission…
Descriptors: Productivity, Expenditures, Academic Achievement, Regression (Statistics)
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Lee, In Heok – Career and Technical Education Research, 2012
Researchers in career and technical education often ignore more effective ways of reporting and treating missing data and instead implement traditional, but ineffective, missing data methods (Gemici, Rojewski, & Lee, 2012). The recent methodological, and even the non-methodological, literature has increasingly emphasized the importance of…
Descriptors: Vocational Education, Data Collection, Maximum Likelihood Statistics, Educational Research
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Rhemtulla, Mijke; Brosseau-Liard, Patricia E.; Savalei, Victoria – Psychological Methods, 2012
A simulation study compared the performance of robust normal theory maximum likelihood (ML) and robust categorical least squares (cat-LS) methodology for estimating confirmatory factor analysis models with ordinal variables. Data were generated from 2 models with 2-7 categories, 4 sample sizes, 2 latent distributions, and 5 patterns of category…
Descriptors: Factor Analysis, Computation, Simulation, Sample Size
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