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E. Damiano D'Urso; Jesper Tijmstra; Jeroen K. Vermunt; Kim De Roover – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Measurement invariance (MI) is required for validly comparing latent constructs measured by multiple ordinal self-report items. Non-invariances may occur when disregarding (group differences in) an acquiescence response style (ARS; an agreeing tendency regardless of item content). If non-invariance results solely from neglecting ARS, one should…
Descriptors: Error of Measurement, Structural Equation Models, Construct Validity, Measurement Techniques
Li, Jian; Lomax, Richard G. – Journal of Experimental Education, 2017
Using Monte Carlo simulations, this research examined the performance of four missing data methods in SEM under different multivariate distributional conditions. The effects of four independent variables (sample size, missing proportion, distribution shape, and factor loading magnitude) were investigated on six outcome variables: convergence rate,…
Descriptors: Monte Carlo Methods, Structural Equation Models, Evaluation Methods, Measurement Techniques
Sette, Stefania; Zuffianò, Antonio; Lucidi, Fabio; Laghi, Fiorenzo; Lonigro, Antonia; Baumgartner, Emma – Journal of Psychoeducational Assessment, 2018
The study analyzed the factorial and concurrent validity of the Student-Teacher Relationship Scale (STRS) using an exploratory structural equation modeling (ESEM) approach. Participants were 368 Italian children aged 3 to 6 (M = 4.60, SD = 0.98). The three-factor ESEM solution fit the data better than the classical confirmatory factor analysis…
Descriptors: Teacher Student Relationship, Young Children, Structural Equation Models, Likert Scales
Chung, ChihMing; Liao, Xiaolan; Song, Hairong; Lee, Taehun – Measurement in Physical Education and Exercise Science, 2016
The multi-dimensionality of Physical Self-Perception Profile (PSPP) has been acknowledged by the use of correlated-factor model and second-order model. In this study, the authors critically endorse the bifactor model, as a substitute to address the multi-dimensionality of PSPP. To cross-validate the models, analyses are conducted first in…
Descriptors: Structural Equation Models, Factor Analysis, Self Esteem, Measurement Techniques
Cakar, Firdevs Savi – Educational Sciences: Theory and Practice, 2014
The purpose of this study is to test a theoretical model concerning the role of self-esteem as a mediator between university students' automatic thoughts and their levels of hopelessness. The participants consisted of 338 students (197 females (58.3%) and 141 males (41.7%) from various departments at the Celal Bayar University. The research data…
Descriptors: Role, Foreign Countries, Prediction, Psychological Patterns
Chen, Yu-Chuan – International Education Studies, 2016
The dynamic changes in higher education observed over the last 20 years have transformed the educational market. The potential value of promoting student satisfaction and loyalty in higher education has become a significant issue. This study investigates the directions and strengths of the relationships among marketing strategies, student…
Descriptors: Marketing, Structural Equation Models, Higher Education, Educational Change
Baygi, Ali Hosseini; Ghonsooly, Behzad; Ghanizadeh, Afsaneh – Asia-Pacific Education Researcher, 2017
Effective learners are cognizant of their own basic needs and abilities so as to maximize their capabilities, dispositions, as well as potentialities up to become self-actualized individuals. To delve into the process of university students' self-actualization, we strived to amalgamate this construct with two motivational-associated factors, i.e.,…
Descriptors: Mastery Learning, Goal Orientation, Self Actualization, Semi Structured Interviews
Choi, Namok; Chang, Mido; Kim, Sunha; Reio, Thomas G., Jr. – Psychology in the Schools, 2015
Parental involvement is well documented as a significant contributor to the self-efficacy and academic achievement of students. A structural equation model of parent involvement with family socioeconomic status, student gender, parents' aspirations for their children, mathematics efficacy, and mathematics achievement was tested to examine…
Descriptors: Demography, Predictor Variables, Parent Participation, Self Efficacy
Mercier, Kevin; Silverman, Stephen – Research Quarterly for Exercise and Sport, 2014
Purpose: The purpose of this investigation was to develop an instrument that has scores that are valid and reliable for measuring students' attitudes toward fitness testing. Method: The method involved the following steps: (a) an elicitation study, (b) item development, (c) a pilot study, and (d) a validation study. The pilot study included 427…
Descriptors: High School Students, Student Attitudes, Measurement Techniques, Program Validation
Perry, John L.; Nicholls, Adam R.; Clough, Peter J.; Crust, Lee – Measurement in Physical Education and Exercise Science, 2015
Despite the limitations of overgeneralizing cutoff values for confirmatory factor analysis (CFA; e.g., Marsh, Hau, & Wen, 2004), they are still often employed as golden rules for assessing factorial validity in sport and exercise psychology. The purpose of this study was to investigate the appropriateness of using the CFA approach with these…
Descriptors: Factor Analysis, Structural Equation Models, Goodness of Fit, Sport Psychology
Teo, Timothy – European Journal of Educational Research, 2012
The purpose of this study is to examine the pre-service teachers' attitudes toward computers use. The impact of five variables (perceived usefulness, perceived ease of use, subjective norm, facilitating conditions, and technological complexity) on attitude towards computer was assessed. Data were collected from 230 preservice teachers through…
Descriptors: Preservice Teachers, Student Attitudes, Computer Use, Measurement Techniques
Fan, Xitao; Sivo, Stephen A. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
In research concerning model invariance across populations, researchers have discussed the limitations of the conventional chi-square difference test ([Delta] chi-square test). There have been some research efforts in using goodness-of-fit indexes (i.e., [Delta]goodness-of-fit indexes) for assessing multisample model invariance, and some specific…
Descriptors: Monte Carlo Methods, Goodness of Fit, Statistical Analysis, Simulation
Saderholm, Jon; Ronau, Robert; Brown, E. Todd; Collins, Gary – School Science and Mathematics, 2010
The Diagnostic Teacher Assessment in Mathematics and Science (DTAMS) was developed to measure the content knowledge and pedagogical content knowledge of middle-school teachers. Its reliability and validity were initially established by reviewing national standards for content and use of expert question writing teams and reviewers. DTAMS was…
Descriptors: Structural Equation Models, Mathematics Achievement, Pedagogical Content Knowledge, Item Response Theory
Jones-Farmer, L. Allison; Pitts, Jennifer P.; Rainer, R. Kelly – Structural Equation Modeling: A Multidisciplinary Journal, 2008
Although SAS PROC CALIS is not designed to perform multigroup comparisons, it is believed that SAS can be "tricked" into doing so for groups of equal size. At present, there are no comprehensive examples of the steps involved in performing a multigroup comparison in SAS. The purpose of this article is to illustrate these steps. We demonstrate…
Descriptors: Goodness of Fit, Structural Equation Models, Measurement Techniques, Interpersonal Communication
Asparouhov, Tihomir; Muthen, Bengt – Structural Equation Modeling: A Multidisciplinary Journal, 2009
Exploratory factor analysis (EFA) is a frequently used multivariate analysis technique in statistics. Jennrich and Sampson (1966) solved a significant EFA factor loading matrix rotation problem by deriving the direct Quartimin rotation. Jennrich was also the first to develop standard errors for rotated solutions, although these have still not made…
Descriptors: Structural Equation Models, Testing, Factor Analysis, Research Methodology
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