NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Uwimpuhwe, Germaine; Singh, Akansha; Higgins, Steve; Coux, Mickael; Xiao, ZhiMin; Shkedy, Ziv; Kasim, Adetayo – Journal of Experimental Education, 2022
Educational stakeholders are keen to know the magnitude and importance of different interventions. However, the way evidence is communicated to support understanding of the effectiveness of an intervention is controversial. Typically studies in education have used the standardised mean difference as a measure of the impact of interventions. This…
Descriptors: Program Effectiveness, Intervention, Multivariate Analysis, Bayesian Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Culpepper, Steven Andrew; Park, Trevor – Journal of Educational and Behavioral Statistics, 2017
A latent multivariate regression model is developed that employs a generalized asymmetric Laplace (GAL) prior distribution for regression coefficients. The model is designed for high-dimensional applications where an approximate sparsity condition is satisfied, such that many regression coefficients are near zero after accounting for all the model…
Descriptors: Bayesian Statistics, Multivariate Analysis, Item Response Theory, Regression (Statistics)
Clemens, Nathan H.; Simmons, Deborah; Simmons, Leslie E.; Wang, Huan; Kwok, Oi-man – Journal of Psychoeducational Assessment, 2017
This study sought to better understand the prevalence of concurrent and specific difficulties in reading fluency and vocabulary among adolescents with low reading comprehension. Latent class analysis (LCA) was used to identify a sample of 180 students in sixth through eighth grades with reading comprehension difficulties. A subsequent LCA…
Descriptors: Reading Difficulties, Reading Fluency, Vocabulary, Reading Comprehension
Peer reviewed Peer reviewed
Direct linkDirect link
Phelan, Julia; Ing, Marsha; Nylund-Gibson, Karen; Brown, Richard S. – Journal of STEM Education: Innovations and Research, 2017
This study extends current research by organizing information about students' expectancy-value achievement motivation, in a way that helps parents and teachers identify specific entry points to encourage and support students' science aspirations. This study uses latent class analysis to describe underlying differences in ability beliefs, task…
Descriptors: Self Concept, Science Instruction, Middle School Students, Multivariate Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Zhang, Dake; Stecker, Pamela; Huckabee, Sloan; Miller, Rhonda – Journal of Learning Disabilities, 2016
Research has suggested that different strategies used when solving fraction problems are highly correlated with students' problem-solving accuracy. This study (a) utilized latent profile modeling to classify students into three different strategic developmental levels in solving fraction comparison problems and (b) accordingly provided…
Descriptors: Middle School Students, Fractions, Mathematics Achievement, Low Achievement
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Yuan, Kun; McCaffrey, Daniel F.; Savitsky, Terrance D. – Society for Research on Educational Effectiveness, 2013
Standardized teaching observation protocols have become increasingly popular in evaluating teaching in recent years. One of such protocols that has gained substantial interest from researchers and practitioners is the Classroom Assessment Scoring System-Secondary (CLASSS). According to the developer, CLASS-S has three domains of teacher-student…
Descriptors: Factor Structure, Bayesian Statistics, Multivariate Analysis, Teacher Student Relationship
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries