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Direct linkNam, Yeji; Hong, Sehee – Educational and Psychological Measurement, 2021
This study investigated the extent to which class-specific parameter estimates are biased by the within-class normality assumption in nonnormal growth mixture modeling (GMM). Monte Carlo simulations for nonnormal GMM were conducted to analyze and compare two strategies for obtaining unbiased parameter estimates: relaxing the within-class normality…
Descriptors: Probability, Models, Statistical Analysis, Statistical Distributions
Ning, Ling; Luo, Wen – Journal of Experimental Education, 2018
Piecewise GMM with unknown turning points is a new procedure to investigate heterogeneous subpopulations' growth trajectories consisting of distinct developmental phases. Unlike the conventional PGMM, which relies on theory or experiment design to specify turning points a priori, the new procedure allows for an optimal location of turning points…
Descriptors: Statistical Analysis, Models, Classification, Comparative Analysis
Covariance Pattern Mixture Models: Eliminating Random Effects to Improve Convergence and Performance
Download full textMcNeish, Daniel; Harring, Jeffrey – Grantee Submission, 2019
Growth mixture models (GMMs) are prevalent for modeling unknown population heterogeneity via distinct latent classes. However, GMMs are riddled with convergence issues, often requiring researchers to atheoretically alter the model with cross-class constraints to obtain convergence. We discuss how within-class random effects in GMMs exacerbate…
Descriptors: Structural Equation Models, Classification, Computation, Statistical Analysis
Kaya, Yasemin; Leite, Walter L. – Educational and Psychological Measurement, 2017
Cognitive diagnosis models are diagnostic models used to classify respondents into homogenous groups based on multiple categorical latent variables representing the measured cognitive attributes. This study aims to present longitudinal models for cognitive diagnosis modeling, which can be applied to repeated measurements in order to monitor…
Descriptors: Models, Classification, Cognitive Processes, Change
McConnell-Nzunga, J.; Naylor, P. J.; Macdonald, H.; Rhodes, R. E.; Hofer, S. M.; McKay, H. – Measurement in Physical Education and Exercise Science, 2018
Body mass index is a common proxy for proportion of body fat. However, body mass index may not classify youth similarly across ages and ethnicities. We used sex- and ethnic-specific receiver operating characteristic curves to determine how obesity classifications compared between body mass index and dual energy x-ray absorptiometry-based body fat…
Descriptors: Classification, Obesity, Ethnicity, Body Composition
VanDerHeyden, Amanda M.; Burns, Matthew K.; Bonifay, Wesley – School Psychology Review, 2018
Screening is necessary to detect risk and prevent reading failure. Yet the amount of screening that commonly occurs in U.S. schools may undermine its value, creating more error in decision making and lost instructional opportunity. This 2-year longitudinal study examined the decision accuracy associated with collecting concurrent reading screening…
Descriptors: Screening Tests, Decision Making, Accuracy, Reading Skills
Çerçi, Arif – Educational Research and Reviews, 2017
In the related literature, it has been discussed that issues related to foreign language lexicon have been ignored; therefore, a solid theory of foreign language lexicon has not been constructed yet. In the framework of Turkish as a foreign language, the literature lacks both cross-sectional and longitudinal studies. To this end, this longitudinal…
Descriptors: Vocabulary Development, Second Language Learning, Second Language Instruction, Writing (Composition)
Wolf, Patrick J.; Lasserre-Cortez, Shannon – Regional Educational Laboratory Southwest, 2018
Charter schools are public schools authorized to operate with some independence from district or state public school regulations, while still being held accountable for student outcomes. Like traditional schools operated by school districts, charter schools are free and are intended to be open to all students who desire to attend. This study…
Descriptors: Charter Schools, Public Schools, Traditional Schools, Special Education
Shin, Nami – Educational Evaluation and Policy Analysis, 2018
Despite federal and state laws and regulations that require states and local districts to provide English language learners (ELLs) with support services, prior research has indicated that ELLs are, in general, lagging behind non-ELLs in academic achievement. An unanswered question is whether the initial designation of students as ELL influences…
Descriptors: Classification, English Language Learners, Academic Achievement, Elementary School Students
Bussu, G.; Jones, E. J. H.; Charman, T.; Johnson, M. H.; Buitelaar, J. K.; Baron-Cohen, S.; Bedford, R.; Bolton, P.; Blasi, A.; Chandler, S.; Cheung, C.; Davies, K.; Elsabbagh, M.; Fernandes, J.; Gammer, I.; Garwood, H.; Gliga, T.; Guiraud, J.; Hudry, K.; Liew, M.; Lloyd-Fox, S.; Maris, H.; O'Hara, L.; Pasco, G.; Pickles, A.; Ribeiro, H.; Salomone, E.; Tucker, L.; Volein, A. – Journal of Autism and Developmental Disorders, 2018
We integrated multiple behavioural and developmental measures from multiple time-points using machine learning to improve early prediction of individual Autism Spectrum Disorder (ASD) outcome. We examined Mullen Scales of Early Learning, Vineland Adaptive Behavior Scales, and early ASD symptoms between 8 and 36 months in high-risk siblings (HR; n…
Descriptors: Prediction, Autism, Symptoms (Individual Disorders), Classification
Osman, Abdulaziz – ProQuest LLC, 2016
The purpose of this research study was to examine the unknown fears of embracing cloud computing which stretches across measurements like fear of change from leaders and the complexity of the technology in 9-1-1 dispatch centers in USA. The problem that was addressed in the study was that many 9-1-1 dispatch centers in USA are still using old…
Descriptors: Information Technology, Middle Management, Questionnaires, Statistical Analysis
Cimpian, Joseph R.; Thompson, Karen D.; Makowski, Martha B. – American Educational Research Journal, 2017
Effectively educating the large English learner population requires policymakers to ensure developmentally appropriate settings and services throughout the time students are learning English, as well as during their transition to fluent English proficient status--a process termed "reclassification." Using longitudinal student-level data…
Descriptors: English Language Learners, Classification, Developmentally Appropriate Practices, Longitudinal Studies
Mancilla-Martinez, Jeannette; Wallace Jacoby, Jennifer – Early Education and Development, 2018
Research Findings: This longitudinal study investigated the Spanish vocabulary development of dual-language-learning (DLL) children (N = 150) from Spanish-speaking, low-income, predominantly immigrant homes who were enrolled in a state-funded preschool program that provided instruction in Spanish. Children's Spanish vocabulary trajectories were…
Descriptors: Spanish, Low Income, Vocabulary Development, Risk
Iglesias, Kevin W. – ProQuest LLC, 2014
This study examined the effect that striving behavior has upon an institution's expenditures. While not the first study to examine such effects, it was the first to look across a multitude of institutional types, spanning seven levels of Carnegie classifications and encompassing public and private not-for-profit bachelors-granting schools to…
Descriptors: Reputation, Expenditures, Educational Finance, Public Colleges
Engberg, Mark E.; Gilbert, Aliza J. – Research in Higher Education, 2014
This study examines the relationships between the normative and resource dimensions of a high school counseling department and four-year college-going rates. Utilizing data from the High School Longitudinal Study of 2009 (HSLS: 09), we employ multiple regression and latent class analysis to identify salient factors related to the college-going…
Descriptors: High Schools, School Counseling, College Attendance, Longitudinal Studies
