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Kendra E. Guinness; Kylan S. Turner; Philip N. Chase; Judah B. Axe – Education and Treatment of Children, 2024
A growing body of literature suggests manipulating some graphing conventions can affect visual analysis and adherence to graphing conventions varies widely in single case design publications. Yet use of graphing conventions by the wider population of behavior analysts is largely unexplored. The current study examined relations among types of…
Descriptors: Graphs, Applied Behavior Analysis, Demography, Surveys
Lauren N. Layman; Brad A. Dufrene; Meleah M. Ackley; Caitlyn M. Weaver; Delaney E. Schneider; Zachary C. LaBrot; Crystal N. Taylor; Javid A. Rahaman; Kortlyn N. Tawney; Tearny Hart; D. Joe Olmi – Review Journal of Autism and Developmental Disorders, 2024
The purpose of the current study was to conduct a thorough review of the literature on the interview-informed synthesized contingency analysis (IISCA) developed by (Hanley et al., Journal of Applied Behavior Analysis 47:16-36, 2014)) and its subsequent treatment outcomes. A total of 39 articles were identified with 235 participants participating…
Descriptors: Behavior Problems, Interviews, Functional Behavioral Assessment, Outcomes of Treatment
Corinne Huggins-Manley; Anthony W. Raborn; Peggy K. Jones; Ted Myers – Journal of Educational Measurement, 2024
The purpose of this study is to develop a nonparametric DIF method that (a) compares focal groups directly to the composite group that will be used to develop the reported test score scale, and (b) allows practitioners to explore for DIF related to focal groups stemming from multicategorical variables that constitute a small proportion of the…
Descriptors: Nonparametric Statistics, Test Bias, Scores, Statistical Significance
V. N. Vimal Rao; Jeffrey K. Bye; Sashank Varma – Cognitive Research: Principles and Implications, 2024
The 0.05 boundary within Null Hypothesis Statistical Testing (NHST) "has made a lot of people very angry and been widely regarded as a bad move" (to quote Douglas Adams). Here, we move past meta-scientific arguments and ask an empirical question: What is the psychological standing of the 0.05 boundary for statistical significance? We…
Descriptors: Psychological Patterns, Statistical Analysis, Testing, Statistical Significance
Jascha Dräger; Markus Klein; Edward Sosu – British Educational Research Journal, 2024
School absences can negatively impact a child's schooling, including the loss of teacher-led lessons, peer interactions, and, ultimately, academic achievement. However, little is known about the long-term consequences of school absences for overall educational attainment and labour market outcomes. In this paper, we used data from the 1970 British…
Descriptors: Elementary School Students, Attendance Patterns, Outcomes of Education, Educational Attainment
Sims, Sam; Anders, Jake; Inglis, Matthew; Lortie-Forgues, Hugues – Journal of Research on Educational Effectiveness, 2023
Randomized controlled trials have proliferated in education, in part because they provide an unbiased estimator for the causal impact of interventions. It is increasingly recognized that many such trials in education have low power to detect an effect if indeed there is one. However, it is less well known that low powered trials tend to…
Descriptors: Randomized Controlled Trials, Educational Research, Effect Size, Intervention
Patrick Sheehan; Peter M. Steiner – Society for Research on Educational Effectiveness, 2022
Background: Research reproducibility and effect replication has become a topic of major concern throughout the social sciences. During the last decade, low replication rates of published research findings became a major issue across disciplines in the social and behavioral sciences, leading to the public proclamation of a "replication…
Descriptors: Social Science Research, Behavioral Science Research, Replication (Evaluation), Statistical Significance
Eunsook Kim; Nathaniel von der Embse – Journal of Experimental Education, 2024
Using data from multiple informants has long been considered best practice in education. However, multiple informants often disagree on similar constructs, complicating decision-making. Polynomial regression and response-surface analysis (PRA) is often used to test the congruence effect between multiple informants on an outcome. However, PRA…
Descriptors: Congruence (Psychology), Information Sources, Best Practices, Regression (Statistics)
Dandan Tang; Steven M. Boker; Xin Tong – Structural Equation Modeling: A Multidisciplinary Journal, 2025
The replication crisis in social and behavioral sciences has raised concerns about the reliability and validity of empirical studies. While research in the literature has explored contributing factors to this crisis, the issues related to analytical tools have received less attention. This study focuses on a widely used analytical tool -…
Descriptors: Test Validity, Factor Analysis, Replication (Evaluation), Social Science Research
Elliott, Mark; Buttery, Paula – Educational and Psychological Measurement, 2022
We investigate two non-iterative estimation procedures for Rasch models, the pair-wise estimation procedure (PAIR) and the Eigenvector method (EVM), and identify theoretical issues with EVM for rating scale model (RSM) threshold estimation. We develop a new procedure to resolve these issues--the conditional pairwise adjacent thresholds procedure…
Descriptors: Item Response Theory, Rating Scales, Computation, Simulation
Tongxi Liu – Journal of Educational Computing Research, 2024
Addressing cognitive disparities has become a paramount concern in computational thinking (CT) education. The intricate and nuanced relationships between CT and cognitive variations emphasize the needs to accommodate diverse cognitive profiles when fostering CT skills, recognizing that these cognitive functions can manifest as either strengths or…
Descriptors: Executive Function, Computation, Thinking Skills, Data Science
Henninger, Mirka; Debelak, Rudolf; Strobl, Carolin – Educational and Psychological Measurement, 2023
To detect differential item functioning (DIF), Rasch trees search for optimal split-points in covariates and identify subgroups of respondents in a data-driven way. To determine whether and in which covariate a split should be performed, Rasch trees use statistical significance tests. Consequently, Rasch trees are more likely to label small DIF…
Descriptors: Item Response Theory, Test Items, Effect Size, Statistical Significance
Fukuda, Kosei – Teaching Statistics: An International Journal for Teachers, 2023
This paper presents the importance of the visual expression of factor decomposition in regression analysis, which is particularly worthwhile for undergraduate students whose majors are not mathematics but social science. The conventional purpose of regression analysis is to examine specific hypotheses empirically. In particular, the statistical…
Descriptors: Statistics Education, Regression (Statistics), Statistical Significance, Social Sciences
Liu, Yinan; Meng, Xingcan; Roy-Campbell, Zaline – Journal of Computing in Higher Education, 2023
The modality and redundancy principles are two fundamental principles used to inform the design of multimedia instruction. They are based on a variety of experimental studies that utilized different types of multimedia lessons to compare input modes of graphics+audio, graphics+text, and graphics+audio+text with each other. However, a lack of…
Descriptors: Multimedia Instruction, Educational Principles, Instructional Design, Multimedia Materials
Cristina Vladescu – International Electronic Journal of Mathematics Education, 2023
This study aims at highlighting the relationship between mastery learning models and academic performance in mathematics, moderated by the number of hours allotted to studying mathematics. There are 305 first to eighth-grade students who learn at "Nae A. Ghica Middle School" in Romania. Students in sixth, seventh, and eighth grades…
Descriptors: Mastery Learning, Models, Mathematics Achievement, Study Habits