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Showing 1 to 15 of 217 results Save | Export
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Raykov, Tenko; DiStefano, Christine – Educational and Psychological Measurement, 2021
The frequent practice of overall fit evaluation for latent variable models in educational and behavioral research is reconsidered. It is argued that since overall plausibility does not imply local plausibility and is only necessary for the latter, local misfit should be considered a sufficient condition for model rejection, even in the case of…
Descriptors: Goodness of Fit, Models, Educational Research, Behavioral Science Research
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Gerrit Bauer; Nate Breznau; Johanna Gereke; Jan H. Höffler; Nicole Janz; Rima-Maria Rahal; Joachim K. Rennstich; Hannah Soiné – Teaching of Psychology, 2025
Introduction: The replication crisis in the behavioral and social sciences spawned a credibility revolution, calling for new open science research practices that ensure greater transparency, including preregistrations, open data and code, and open access. Statement of the Problem: Replications of published research are an important element in this…
Descriptors: Teaching Methods, Replication (Evaluation), Behavioral Sciences, Social Sciences
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Raykov, Tenko; Pusic, Martin – Educational and Psychological Measurement, 2023
This note is concerned with evaluation of location parameters for polytomous items in multiple-component measuring instruments. A point and interval estimation procedure for these parameters is outlined that is developed within the framework of latent variable modeling. The method permits educational, behavioral, biomedical, and marketing…
Descriptors: Item Analysis, Measurement Techniques, Computer Software, Intervals
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Haardörfer, Regine – Health Education & Behavior, 2019
In this article, Regine Haardörfer outlines five general steps taken by good data analysts and how they need to be theory-driven data-informed. She uses these to discuss some issues and propose approaches to promote better data analysis and reporting. The proposed steps to rigorous data analysis are to: (1) create an a priori data analysis plan;…
Descriptors: Data Analysis, Theories, Social Science Research, Behavioral Science Research
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Xu Qin; Lijuan Wang – Grantee Submission, 2023
Research questions regarding how, for whom, and where a treatment achieves its effect on an outcome have become increasingly valued in substantive research. Such questions can be answered by causal moderated mediation analysis, which assesses the heterogeneity of the mediation mechanism underlying the treatment effect across individual and…
Descriptors: Causal Models, Mediation Theory, Computer Software, Statistical Analysis
Pustejovsky, James E.; Swan, Daniel M.; English, Kyle W. – Grantee Submission, 2019
There has been growing interest in using statistical methods to analyze data and estimate effect size indices from studies that use single-case designs (SCDs), as a complement to traditional visual inspection methods. The validity of a statistical method rests on whether its assumptions are plausible representations of the process by which the…
Descriptors: Measurement Techniques, Statistical Analysis, Data, Outcome Measures
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Warner, Laura A.; Diaz, John M.; Chaudhary, Anil Kumar – Journal of Agricultural Education, 2018
Water availability is an important issue addressed by Cooperative Extension programs nationwide. Rapid population growth and urbanization present unique challenges and opportunities for Extension programming. In this study, we explored whether urban Extension audiences in Florida had unique characteristics that could be used to design tailored…
Descriptors: Water, Conservation (Environment), Extension Education, Behavioral Science Research
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Blaine, Bruce Evan – Scholarship and Practice of Undergraduate Research, 2019
Reproducibility crises have arisen in psychology and other behavioral sciences, spurring efforts to ensure research findings are credible and replicable. Although reforms are occurring at professional levels in terms of new publication parameters and open science initiatives, the credibility and reproducibility of undergraduate research deserves…
Descriptors: Undergraduate Students, Student Research, Behavioral Science Research, Research Methodology
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Enders, Craig K.; Keller, Brian T.; Levy, Roy – Grantee Submission, 2018
Specialized imputation routines for multilevel data are widely available in software packages, but these methods are generally not equipped to handle a wide range of complexities that are typical of behavioral science data. In particular, existing imputation schemes differ in their ability to handle random slopes, categorical variables,…
Descriptors: Hierarchical Linear Modeling, Behavioral Science Research, Computer Software, Bayesian Statistics
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Byrne, Brian; Little, Callie W.; Olson, Richard K.; Larsen, Sally A.; Coventry, William L.; Weymouth, Rachel – Journal of School Choice, 2020
Asbury and Wai ("Journal of School Choice," 2019) perform a valuable service by summarizing much available behavior--genetic research on academic achievement. However they consider that no specific policies stem from the research body at this time. Here we do propose a policy based on some of our research using twins, namely that…
Descriptors: Educational Policy, Educational Finance, Financial Support, Resource Allocation
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Letué, Frédérique; Martinez, Marie-José; Samson, Adeline; Vilain, Anne; Vilain, Coriandre – Journal of Speech, Language, and Hearing Research, 2018
Purpose: Repeated duration data are frequently used in behavioral studies. Classical linear or log-linear mixed models are often inadequate to analyze such data, because they usually consist of nonnegative and skew-distributed variables. Therefore, we recommend use of a statistical methodology specific to duration data. Method: We propose a…
Descriptors: Behavioral Science Research, Research Methodology, Statistical Analysis, Repetition
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Colon, Lorianna; Odynocki, Natalie; Santarelli, Anthony; Poulos, Andrew M. – Learning & Memory, 2018
Development and sex differentiation impart an organizational influence on the neuroanatomy and behavior of mammalian species. Prior studies suggest that brain regions associated with fear motivated defensive behavior undergo a protracted and sex-dependent development. Outside of adult animals, evidence for developmental sex differences in…
Descriptors: Gender Differences, Brain Hemisphere Functions, Fear, Behavior
Greenwood, Charles R.; Beecher, Constance; Atwater, Jane; Petersen, Sarah; Schiefelbusch, Jean; Irvin, Dwight – Topics in Early Childhood Special Education, 2018
A gap exists in the information needed to make intervention decisions with preschool children who are unresponsive to instructional intervention. "Multi-Tiered System of Supports/Response to Intervention" (MTSS/RTI) progress monitoring is helpful in indicating when an intervention change is needed but provides little information on what…
Descriptors: Preschool Children, Individualized Education Programs, Literacy, Probability
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Warne, Russell T. – Practical Assessment, Research & Evaluation, 2014
Reviews of statistical procedures (e.g., Bangert & Baumberger, 2005; Kieffer, Reese, & Thompson, 2001; Warne, Lazo, Ramos, & Ritter, 2012) show that one of the most common multivariate statistical methods in psychological research is multivariate analysis of variance (MANOVA). However, MANOVA and its associated procedures are often not…
Descriptors: Multivariate Analysis, Behavioral Science Research, Discriminant Analysis, Psychological Studies
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Vanderveldt, Ariana; Green, Leonard; Myerson, Joel – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
The value of an outcome is affected both by the delay until its receipt (delay discounting) and by the likelihood of its receipt (probability discounting). Despite being well-described by the same hyperboloid function, delay and probability discounting involve fundamentally different processes, as revealed, for example, by the differential effects…
Descriptors: Rewards, Delay of Gratification, Probability, Money Management
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