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Daniel McNeish – Grantee Submission, 2023
Scale validation is vital to psychological research because it ensures that scores from measurement scales represent the intended construct. Factor analysis fit indices are commonly used to provide quantitative evidence that a proposed factor structure is plausible. However, there is mismatch between guidelines for evaluating fit of factor models…
Descriptors: Factor Analysis, Goodness of Fit, Validity, Likert Scales
Merkle, Edgar C.; Fitzsimmons, Ellen; Uanhoro, James; Goodrich, Ben – Grantee Submission, 2021
Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof. Model estimation is complicated by the fact that we typically have multiple interdependent response variables and multiple latent variables (which may also be called random effects or…
Descriptors: Bayesian Statistics, Structural Equation Models, Psychometrics, Factor Analysis
Clark, D. Angus; Bowles, Ryan P. – Grantee Submission, 2018
In exploratory item factor analysis (IFA), researchers may use model fit statistics and commonly invoked fit thresholds to help determine the dimensionality of an assessment. However, these indices and thresholds may mislead as they were developed in a confirmatory framework for models with continuous, not categorical, indicators. The present…
Descriptors: Factor Analysis, Goodness of Fit, Factor Structure, Monte Carlo Methods
Seo, Hyojeong; Little, Todd D.; Shogren, Karrie A.; Lang, Kyle M. – Grantee Submission, 2016
Structural equation modeling (SEM) is a powerful and flexible analytic tool to model latent constructs and their relations with observed variables and other constructs. SEM applications offer advantages over classical models in dealing with statistical assumptions and in adjusting for measurement error. So far, however, SEM has not been fully used…
Descriptors: Adolescents, Case Studies, Children, Computation
Yuan, Ke-Hai; Zhang, Zhiyong; Zhao, Yanyun – Grantee Submission, 2017
The normal-distribution-based likelihood ratio statistic T[subscript ml] = nF[subscript ml] is widely used for power analysis in structural Equation modeling (SEM). In such an analysis, power and sample size are computed by assuming that T[subscript ml] follows a central chi-square distribution under H[subscript 0] and a noncentral chi-square…
Descriptors: Statistical Analysis, Evaluation Methods, Structural Equation Models, Reliability
Talwar, Amani; Tighe, Elizabeth L.; Greenberg, Daphne – Grantee Submission, 2018
This study explored the background knowledge (BK) and reading comprehension (RC) relationship for struggling adult readers. Using confirmatory factor analyses, a single-factor BK model exhibited better fit than a two-factor model separating academic knowledge and general information, which indicates that BK represents a unidimensional construct…
Descriptors: Knowledge Level, Reading Comprehension, Factor Analysis, Structural Equation Models
Becker, Stephen P.; Burns, G. Leonard; Schmitt, Aidan P.; Epstein, Jeffery N.; Tamm, Leanne – Grantee Submission, 2017
Despite increasing interest in sluggish cognitive tempo (SCT) in children, the field is stymied by the lack of a standard symptom set that can be used across studies. Without a standard symptom set, it is difficult to determine if differences across studies are due to methodological or sample differences, or simply the way SCT was measured. To…
Descriptors: Conceptual Tempo, Elementary School Students, Symptoms (Individual Disorders), Attention Deficit Hyperactivity Disorder
Kim, Young-Suk Grace – Grantee Submission, 2016
We investigated component language and cognitive skills of oral language comprehension of narrative texts (i.e., listening comprehension). Using the construction--integration model of text comprehension as an overarching theoretical framework, we examined direct and mediated relations of foundational cognitive skills (working memory and…
Descriptors: Foreign Countries, Language Skills, Cognitive Ability, Oral Language
Schmitt, Sara A.; Geldhof, G. John; Purpura, David J.; Duncan, Robert; McClelland, Megan M. – Grantee Submission, 2017
The present study explored the bidirectional and longitudinal associations between executive function (EF) and early academic skills (math and literacy) across four waves of measurement during the transition from preschool to kindergarten using two complementary analytical approaches: cross-lagged panel modeling and latent growth curve modeling…
Descriptors: Executive Function, Mathematics Instruction, Transitional Programs, Kindergarten
Kim, Young-Suk Grace; Wagner, Richard K. – Grantee Submission, 2015
In the present study we investigated a developmentally changing role of text reading fluency in mediating the relations of word reading fluency and listening comprehension to reading comprehension. We addressed this question by using longitudinal data from Grades 1 to 4 and employing structural equation models. Results showed that the role of text…
Descriptors: Reading Fluency, Word Recognition, Listening Skills, Reading Comprehension
Dedrick, Robert F.; Shaunessy-Dedrick, Elizabeth; Suldo, Shannon M.; Ferron, John – Grantee Submission, 2015
In two studies (ns = 312 and 1149) with 9-12 grade students in pre-International Baccalaureate (IB) and IB Diploma programs, we evaluated the reliability, factor structure, measurement invariance, and criterion-related validity of the scores from the School Attitude Assessment Survey-Revised (SAAS-R; McCoach & Siegle, 2003a). Reliabilities of…
Descriptors: Psychometrics, High School Students, Advanced Placement Programs, Attitude Measures