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Adam Sales – Society for Research on Educational Effectiveness, 2021
Education researchers frequently have to choose between statistical models for their data, and in many cases the candidate models or parameters can be listed in a sequence, m=1,...,M, from less preferable choices to more. For instance, in choosing a bandwidth for regression discontinuity designs, researchers would favor the largest possible…
Descriptors: Educational Research, Statistical Analysis, Research Design, Decision Making
Vaske, Jerry J. – Sagamore-Venture, 2019
Data collected from surveys can result in hundreds of variables and thousands of respondents. This implies that time and energy must be devoted to (a) carefully entering the data into a database, (b) running preliminary analyses to identify any problems (e.g., missing data, potential outliers), (c) checking the reliability and validity of the…
Descriptors: Surveys, Theories, Hypothesis Testing, Effect Size
Xiao, Jiaying; Bulut, Okan – Educational and Psychological Measurement, 2020
Large amounts of missing data could distort item parameter estimation and lead to biased ability estimates in educational assessments. Therefore, missing responses should be handled properly before estimating any parameters. In this study, two Monte Carlo simulation studies were conducted to compare the performance of four methods in handling…
Descriptors: Data, Computation, Ability, Maximum Likelihood Statistics
Töro, Krisztina Tárnokiné; Miklósi, Mónika; Horanyi, Eszter; Kovács, Gábor Pers; Balázs, Judit – Journal of Learning Disabilities, 2018
Several studies have reported high comorbidity for reading disability (RD) and psychiatric disorders. The aim of this study was to investigate the comorbidity of subthreshold and full psychiatric disorders with RD while comparing subgroups based on age of RD recognition (early vs. late). We analyzed data from 130 children with RD and 82 typically…
Descriptors: Reading Difficulties, Mental Disorders, Learning Disabilities, Age Differences
Sinharay, Sandip; Wan, Ping; Choi, Seung W.; Kim, Dong-In – Journal of Educational Measurement, 2015
With an increase in the number of online tests, the number of interruptions during testing due to unexpected technical issues seems to be on the rise. For example, interruptions occurred during several recent state tests. When interruptions occur, it is important to determine the extent of their impact on the examinees' scores. Researchers such as…
Descriptors: Computer Assisted Testing, Testing Problems, Scores, Statistical Analysis
Nissen, Jayson M.; Jariwala, Manher; Close, Eleanor W.; Van Dusen, Ben – International Journal of STEM Education, 2018
Background: High-stakes assessments, such the Graduate Records Examination, have transitioned from paper to computer administration. Low-stakes research-based assessments (RBAs), such as the Force Concept Inventory, have only recently begun this transition to computer administration with online services. These online services can simplify…
Descriptors: Research Design, College Students, Science Instruction, Physics
Rios, Joseph A.; Liu, Ou Lydia – American Journal of Distance Education, 2017
Online higher education institutions are presented with the concern of how to obtain valid results when administering student learning outcomes (SLO) assessments remotely. Traditionally, there has been a great reliance on unproctored Internet test administration (UIT) due to increased flexibility and reduced costs; however, a number of validity…
Descriptors: Online Courses, Testing, Test Wiseness, Academic Achievement
Mackert, Michael; Champlin, Sara; Mabry-Flynn, Amanda – Journal of Student Affairs Research and Practice, 2017
The purpose of this study was twofold: Assess health literacy among college students using an accepted assessment tool (the Newest Vital Sign, NVS) and utilize different methods of administration to explore strategies for practically increasing usage of health literacy measurement tools--which currently emphasize in-person, oral administration.…
Descriptors: Health, Literacy, Measurement Techniques, Testing
Pustejovsky, James Eric; Furman, Gleb – AERA Online Paper Repository, 2017
In linear regression models estimated by ordinary least squares, it is often desirable to use hypothesis tests and confidence intervals that remain valid in the presence of heteroskedastic errors. Wald tests based on heteroskedasticity-consistent covariance matrix estimators (HCCMEs, also known as sandwich estimators or simply "robust"…
Descriptors: Hypothesis Testing, Sample Size, Regression (Statistics), Computation
Retrieval Practice Makes Procedure from Remembering: An Automatization Account of the Testing Effect
Racsmány, Mihály; Szollosi, Ágnes; Bencze, Dorottya – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
The "testing effect" refers to the striking phenomenon that repeated retrieval practice is one of the most effective learning strategies, and certainly more advantageous for long-term learning, than additional restudying of the same information. How retrieval can boost the retention of memories is still without unanimous explanation. In…
Descriptors: Memory, Testing, Recall (Psychology), Retention (Psychology)
Quesen, Sarah; Lane, Suzanne – Applied Measurement in Education, 2019
This study examined the effect of similar vs. dissimilar proficiency distributions on uniform DIF detection on a statewide eighth grade mathematics assessment. Results from the similar- and dissimilar-ability reference groups with an SWD focal group were compared for four models: logistic regression, hierarchical generalized linear model (HGLM),…
Descriptors: Test Items, Mathematics Tests, Grade 8, Item Response Theory
Sinharay, Sandip; Wan, Ping; Whitaker, Mike; Kim, Dong-In; Zhang, Litong; Choi, Seung W. – Journal of Educational Measurement, 2014
With an increase in the number of online tests, interruptions during testing due to unexpected technical issues seem unavoidable. For example, interruptions occurred during several recent state tests. When interruptions occur, it is important to determine the extent of their impact on the examinees' scores. There is a lack of research on this…
Descriptors: Computer Assisted Testing, Testing Problems, Scores, Regression (Statistics)
Blondeau, Lauren A.; Awad, Germine H. – Journal of Career Development, 2018
Currently, the number of science, technology, engineering, and mathematics (STEM) jobs are expanding faster than the U.S. labor market; yet many individuals with STEM degrees choose to work in other fields. The present study uses social cognitive career theory as a framework for researching the impact of several variables on future expectations to…
Descriptors: Self Efficacy, STEM Education, Surveys, Regression (Statistics)
Foorman, Barbara R.; Petscher, Yaacov; Stanley, Christopher; Truckenmiller, Adrea – Journal of Research on Educational Effectiveness, 2017
The objective of this study was to determine the latent profiles of reading and language skills that characterized 7,752 students in kindergarten through tenth grade and to relate the profiles to norm-referenced reading outcomes. Reading and language skills were assessed with a computer-adaptive assessment administered in the middle of the year…
Descriptors: Reading Comprehension, Statistical Analysis, Computer Assisted Testing, Adaptive Testing
Stage, Virginia C.; Kolasa, Kathryn M.; Díaz, Sebastián R.; Duffrin, Melani W. – Journal of School Health, 2018
Background: Explore associations between nutrition, science, and mathematics knowledge to provide evidence that integrating food/nutrition education in the fourth-grade curriculum may support gains in academic knowledge. Methods: Secondary analysis of a quasi-experimental study. Sample included 438 students in 34 fourth-grade classrooms across…
Descriptors: Nutrition, Sciences, Mathematics, Nutrition Instruction

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