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Emma Somer; Carl Falk; Milica Miocevic – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Factor Score Regression (FSR) is increasingly employed as an alternative to structural equation modeling (SEM) in small samples. Despite its popularity in psychology, the performance of FSR in multigroup models with small samples remains relatively unknown. The goal of this study was to examine the performance of FSR, namely Croon's correction and…
Descriptors: Scores, Structural Equation Models, Comparative Analysis, Sample Size
Gagnon, Ryan J.; Garst, Barry A. – Journal of Outdoor Recreation, Education, and Leadership, 2019
To support practitioners' need for reliable and valid measures of the youth camp experience, this study compares the results of two analytic approaches--(1) composite-based paired samples t tests and (2) a latent structural equation model approach--using the Parental Perceptions of Developmental Outcomes (PPDO) scale in a sample of 930 parents of…
Descriptors: Parent Attitudes, Attitude Measures, Resident Camp Programs, Summer Programs
Lee, Kejin; Whittaker, Tiffany Ann – AERA Online Paper Repository, 2017
The latent growth model (LGM) in structural equation modeling (SEM) may be extended to allow for the modeling of associations among multiple latent growth trajectories, resulting in a multiple domain latent growth model (MDLGM). While the MDLGM is conceived as a more powerful multivariate analysis technique, the examination of its methodological…
Descriptors: Statistical Analysis, Growth Models, Structural Equation Models, Multivariate Analysis
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
Maslowsky, Julie; Jager, Justin; Hemken, Douglas – International Journal of Behavioral Development, 2015
Latent variables are common in psychological research. Research questions involving the interaction of two variables are likewise quite common. Methods for estimating and interpreting interactions between latent variables within a structural equation modeling framework have recently become available. The latent moderated structural equations (LMS)…
Descriptors: Structural Equation Models, Computation, Goodness of Fit, Effect Size
Choi, Sunha – Health Education & Behavior, 2018
Using 2-year panel data, this study examined (1) whether experiencing financial hardship associated with out-of-pocket medical expenditures affected delaying/missing necessary health care in the following year; (2) whether such financial hardship mediated the effects of predisposing, enabling, and need characteristics on timely health care access…
Descriptors: Health Services, Health Behavior, Medical Care Evaluation, Medical Services
Li, Dongmei; Yi, Qing; Harris, Deborah – ACT, Inc., 2017
In preparation for online administration of the ACT® test, ACT conducted studies to examine the comparability of scores between online and paper administrations, including a timing study in fall 2013, a mode comparability study in spring 2014, and a second mode comparability study in spring 2015. This report presents major findings from these…
Descriptors: College Entrance Examinations, Computer Assisted Testing, Comparative Analysis, Test Format
Haemer, Hannah Deborah; Borges-Andrade, Jairo Eduardo; Cassiano, Simone Kelli – Journal of Workplace Learning, 2017
Purpose: This paper aims to investigate the prediction of current and evolutionary perceptions of professional development through five learning strategies at work and through training and how individual and job characteristics predict those strategies. Design/methodology/approach: Variables were measured in a cross-sectional survey, with 962…
Descriptors: Foreign Countries, Learning Strategies, Workplace Learning, Professional Development
Yazdi, Mona Tabatabaee; Motallebzadeh, Khalil; Ashraf, Hamid; Baghaei, Purya – Cogent Education, 2017
Continuing Professional Development (CPD), in the area of teacher education, refers to the procedures, programs or strategies that help teachers encounter the challenges of their work and accomplish their own and their learning center's goals. To this aim, the purpose of this study is to propose and validate an appropriate model of EFL teachers'…
Descriptors: Professional Continuing Education, Teacher Education, Second Language Instruction, Language Teachers
Palmu, Iines R.; Närhi, Vesa M.; Savolainen, Hannu K. – Emotional & Behavioural Difficulties, 2018
The current study examined the over-time association between externalizing behaviour problems and academic performance during school transition in a cross-lagged design. The main focus was to reveal whether the externalizing behaviour composite and its components separately, including symptoms of CD and ADHD, differ in their relationship with…
Descriptors: Behavior Problems, Student Behavior, Academic Achievement, Symptoms (Individual Disorders)
van Smeden, Maarten; Hessen, David J. – Structural Equation Modeling: A Multidisciplinary Journal, 2013
In this article, a 2-way multigroup common factor model (MG-CFM) is presented. The MG-CFM can be used to estimate interaction effects between 2 grouping variables on 1 or more hypothesized latent variables. For testing the significance of such interactions, a likelihood ratio test is presented. In a simulation study, the robustness of the…
Descriptors: Multivariate Analysis, Robustness (Statistics), Sample Size, Statistical Analysis
Cheong, JeeWon – Structural Equation Modeling: A Multidisciplinary Journal, 2011
The latent growth curve modeling (LGCM) approach has been increasingly utilized to investigate longitudinal mediation. However, little is known about the accuracy of the estimates and statistical power when mediation is evaluated in the LGCM framework. A simulation study was conducted to address these issues under various conditions including…
Descriptors: Structural Equation Models, Computation, Statistical Analysis, Sample Size
Lamb, Richard; Akmal, Tariq; Petrie, Kaylan – Journal of Research in Science Teaching, 2015
Successful STEM learning depends on the interaction of affect, cognition, and application of ideas. Simply put students who are unwilling to persist in STEM based endeavors do not suddenly develop into scientists, mathematicians, engineers or computer scientists, nor do they seek out STEM related courses or STEM based careers. The purpose of this…
Descriptors: STEM Education, Educational Trends, Schemata (Cognition), Psychometrics
Fan, Weihua; Hancock, Gregory R. – Journal of Educational and Behavioral Statistics, 2012
This study proposes robust means modeling (RMM) approaches for hypothesis testing of mean differences for between-subjects designs in order to control the biasing effects of nonnormality and variance inequality. Drawing from structural equation modeling (SEM), the RMM approaches make no assumption of variance homogeneity and employ robust…
Descriptors: Robustness (Statistics), Hypothesis Testing, Monte Carlo Methods, Simulation
Erdogan, Niyazi; Navruz, Bilgin; Younes, Rayya; Capraro, Robert M. – EURASIA Journal of Mathematics, Science & Technology Education, 2016
Recent studies on professional development programs indicate these programs, when sustained, have a positive impact on student achievement; however, many of these studies have failed to use longitudinal data. The purpose of this study is to understand how one particular instructional practice (STEM PBL) used consistently influences student…
Descriptors: STEM Education, Active Learning, Student Projects, Science Achievement
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