Publication Date
In 2025 | 1 |
Since 2024 | 3 |
Since 2021 (last 5 years) | 7 |
Since 2016 (last 10 years) | 27 |
Since 2006 (last 20 years) | 231 |
Descriptor
Source
Author
Doherty, Gillian | 3 |
Goelman, Hillel | 3 |
Goldhaber, Dan | 3 |
LaGrange, Annette | 3 |
Lero, Donna S. | 3 |
Teo, Timothy | 3 |
Cole, David A. | 2 |
Goossens, Luc | 2 |
Harris, Douglas N. | 2 |
Johnson, R. Burke | 2 |
Krenzke, Tom | 2 |
More ▼ |
Publication Type
Education Level
Location
Canada | 9 |
United States | 7 |
Texas | 6 |
Australia | 5 |
California | 4 |
Hong Kong | 4 |
Florida | 3 |
Israel | 3 |
Netherlands | 3 |
North Carolina | 3 |
Rhode Island | 3 |
More ▼ |
Laws, Policies, & Programs
Elementary and Secondary… | 1 |
Job Training Partnership Act… | 1 |
No Child Left Behind Act 2001 | 1 |
Temporary Assistance for… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Sang-June Park; Youjae Yi – Journal of Educational and Behavioral Statistics, 2024
Previous research explicates ordinal and disordinal interactions through the concept of the "crossover point." This point is determined via simple regression models of a focal predictor at specific moderator values and signifies the intersection of these models. An interaction effect is labeled as disordinal (or ordinal) when the…
Descriptors: Interaction, Predictor Variables, Causal Models, Mathematical Models
Stephen Porter – Asia Pacific Education Review, 2024
Instrumental variables is a popular approach for causal inference in education when randomization of treatment is not feasible. Using a first-year college program as a running example, this article reviews the five assumptions that must be met to successfully use instrumental variables to estimate a causal effect with observational data: SUTVA,…
Descriptors: Causal Models, Educational Research, College Freshmen, Observation
Haixiang Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Mediation analysis is an important statistical tool in many research fields, where the joint significance test is widely utilized for examining mediation effects. Nevertheless, the limitation of this mediation testing method stems from its conservative Type I error, which reduces its statistical power and imposes certain constraints on its…
Descriptors: Structural Equation Models, Statistical Significance, Robustness (Statistics), Comparative Testing
Kim, Yongnam – Journal of Educational and Behavioral Statistics, 2019
Suppression effects in multiple linear regression are one of the most elusive phenomena in the educational and psychological measurement literature. The question is, How can including a variable, which is completely unrelated to the criterion variable, in regression models significantly increase the predictive power of the regression models? In…
Descriptors: Multiple Regression Analysis, Causal Models, Predictor Variables
Kim, Eunsook; von der Embse, Nathaniel – Educational and Psychological Measurement, 2021
Although collecting data from multiple informants is highly recommended, methods to model the congruence and incongruence between informants are limited. Bauer and colleagues suggested the trifactor model that decomposes the variances into common factor, informant perspective factors, and item-specific factors. This study extends their work to the…
Descriptors: Probability, Models, Statistical Analysis, Congruence (Psychology)
Costa, Stella F.; Diniz, Michael M. – Education and Information Technologies, 2022
The large rates of students' failure is a very frequent problem in undergraduate courses, being even more evident in exact sciences. Pointing out the reasons of such problem is a paramount research topic, though not an easy task. An alternative is to use Educational Data Mining techniques (EDM), which enables one to convert data from educational…
Descriptors: Prediction, Undergraduate Students, Mathematics Education, Models
Zelazo, Philip David; Carlson, Stephanie M. – Journal of Cognition and Development, 2023
Executive function (EF) skills are a set of attention-regulation skills involved in intentional, goal-directed behavior that include (but are not limited to) the cool EF skills of working memory, cognitive flexibility, and inhibitory control, and also the hot EF skill of intentional reevaluation. These skills are inevitably expressed in goal- and…
Descriptors: Executive Function, Short Term Memory, Cognitive Processes, Inhibition
Krenzke, Tom; Mohadjer, Leyla; Li, Jianzhu; Erciulescu, Andreea; Fay, Robert; Ren, Weijia; Van de Kerckhove, Wendy; Li, Lin; Rao, J. N. K. – National Center for Education Statistics, 2020
The Program for the International Assessment of Adult Competencies (PIAAC) is a multicycle survey of adult skills and competencies sponsored by the Organization for Economic Cooperation and Development (OECD). The survey examines a range of basic skills in the information age and assesses these adult skills consistently across participating…
Descriptors: Adults, Surveys, Statistical Analysis, Computation
McGrath, Lauren M.; Peterson, Robin L.; Pennington, Bruce F. – Scientific Studies of Reading, 2020
The multiple deficit model (MDM) was proposed because the prevailing single deficit model provided an inadequate account of atypical neuropsychological development. Across methods and levels of analysis, there has been support for the two fundamental tenets of the MDM, that multiple predictors contribute probabilistically to neurodevelopmental…
Descriptors: Models, Individual Development, Pervasive Developmental Disorders, Comorbidity
Young, Cristobal – Sociological Methods & Research, 2019
The commenter's proposal may be a reasonable method for addressing uncertainty in predictive modeling, where the goal is to predict "y." In a treatment effects framework, where the goal is causal inference by conditioning-on-observables, the commenter's proposal is deeply flawed. The proposal (1) ignores the definition of…
Descriptors: Causal Models, Predictor Variables, Research Methodology, Ambiguity (Context)
Seroussi, Dominique-Esther; Sharon, Rakefet; Peled, Yehuda; Yaffe, Yosi – Cambridge Journal of Education, 2019
The assumption behind the use of peer feedback in disciplinary courses in teachers' colleges is that it can help pre-service teachers to learn, to develop reflective skills, and to train professional skills pertaining to assessment situations or to peer collaboration. In fact, as the authors show in a review of the literature on the topic, there…
Descriptors: Reflection, Feedback (Response), Peer Evaluation, Preservice Teachers
Wrembel, Magdalena – Second Language Research, 2021
This commentary discusses the recent keynote article by Westergaard (2021), which is an interesting contribution to the field of language acquisition and multilingualism, especially because it attempts to provide a wider perspective by embracing first, second and third language acquisition. I address major claims put forward by Westergaard, to…
Descriptors: Multilingualism, Second Language Learning, Native Language, Phonology
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
Acee, Taylor W.; Weinstein, Claire Ellen; Hoang, Theresa V.; Flaggs, Darolyn A. – Journal of Experimental Education, 2018
We discuss task-value interventions as one type of relevance intervention and propose a process model of value reappraisal whereby task-value interventions elicit cognitive-affective responses that lead to attitude change and in turn affect academic outcomes. The model incorporates a metacognitive component showing that students can intentionally…
Descriptors: Models, Reflection, Intervention, Academic Achievement
Davidov, Eldad; Dülmer, Hermann; Cieciuch, Jan; Kuntz, Anabel; Seddig, Daniel; Schmidt, Peter – Sociological Methods & Research, 2018
It is necessary to test for equivalence of measurements across groups to guarantee that comparisons of regression coefficients or mean scores of a latent factor are meaningful. Unfortunately, when tested, many scales display nonequivalence. Several researchers have suggested that nonequivalence may be used as a useful source of information as to…
Descriptors: Structural Equation Models, Multivariate Analysis, Social Science Research, Attitude Measures