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Selvi, Hüseyin; Alici, Devrim; Uzun, Nezaket Bilge – Asian Journal of Education and Training, 2020
This study aims to comparatively examine the resultant findings by testing the measurement invariance with structural equation modeling in cases where the missing data is handled using the expectation-maximization (EM), regression imputation, and mean substitution methods in the complete data matrix and the 5% missing data matrix that is randomly…
Descriptors: Error of Measurement, Structural Equation Models, Attitude Measures, Student Attitudes
Humphrey, Stephen E., Ed.; LeBreton, James M., Ed. – APA Books, 2019
Organizational relationships are complex. Employees do their work as individuals, but also as members of larger teams. They exist within various social networks, both within and spanning organizations. Multilevel theory is at the core of the organizational sciences, and unpacking multilevel relationships is fundamental to the challenges faced…
Descriptors: Hierarchical Linear Modeling, Theories, Institutional Research, Social Networks
Brahm, Taiga; Jenert, Tobias; Wagner, Dietrich – Higher Education: The International Journal of Higher Education Research, 2017
In Switzerland, every student graduating from grammar school can begin to study at a university. This leads to high dropout rates. Although students' motivation is considered a strong predictor of performance, the development of motivation during students' transition from high school to university has rarely been investigated. Additionally, little…
Descriptors: Longitudinal Studies, Business Schools, Foreign Countries, Student Motivation
Knekta, Eva – Scandinavian Journal of Educational Research, 2017
This study investigated changes in reported test-taking motivation from a low-stakes to a high-stakes test and if there are differences in reported test-taking motivation between school classes. A questionnaire including scales assessing reported effort, expectancies, perceived importance, interest, and test anxiety was administered to a sample of…
Descriptors: Student Motivation, Test Wiseness, Grade 9, Tests
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
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
Janeiro, Isabel Nunes – Journal of Vocational Behavior, 2010
Super (1990) proposed that the psychological determinants of career development attitudes are time perspective, self-esteem, and causal attributions. The present study analyzed the effects of these determinants on the career development attitudes of 320 students from grade 9 and 300 students from grade 12. The analysis of the data using structural…
Descriptors: Attribution Theory, Vocational Maturity, Time Perspective, Grade 9
Gonzalez, Jorge; De Boeck, Paul; Tuerlinckx, Francis – Psychological Methods, 2008
Structural equation models are commonly used to analyze 2-mode data sets, in which a set of objects is measured on a set of variables. The underlying structure within the object mode is evaluated using latent variables, which are measured by indicators coming from the variable mode. Additionally, when the objects are measured under different…
Descriptors: Structural Equation Models, Data Analysis, Evaluation Methods, Models
Owen, Steven V.; Toepperwein, Mary Anne; Marshall, Carolyn E.; Lichtenstein, Michael J.; Blalock, Cheryl L.; Liu, Yan; Pruski, Linda A.; Grimes, Kandi – Science Education, 2008
The Simpson-Troost Attitude Questionnaire (STAQ) was developed as part of a study to assess adolescent commitment to and achievement in science. For this psychometric reappraisal of the 57-item STAQ, data were analyzed from a convenience sample of 1,754 secondary students. Confirmatory and exploratory factor analyses were applied, and results…
Descriptors: Attitudes, Questionnaires, Adolescents, Motivation
Ferrer, Emilio; McArdle, John – Structural Equation Modeling: A Multidisciplinary Journal, 2003
Structural equation models are presented as alternative models for examining longitudinal data. The models include (a) a cross-lagged regression model, (b) a factor model based on latent growth curves, and (c) a dynamic model based on latent difference scores. The illustrative data are on motivation and perceived competence of students during…
Descriptors: Models, Data Analysis, Structural Equation Models, Longitudinal Studies
Martin, Andrew J. – British Journal of Educational Psychology, 2006
Background: This study seeks to identify the cornerstones of personal bests (PBs) in the educational setting. Aims: The study proposes a multidimensional PB model in which students are most likely to attain PBs on tasks/goals that are (1) specific, (2) challenging, (3) competitively self-referenced, and (4) self-improvement based. Sample: The…
Descriptors: Persistence, Data Analysis, Multidimensional Scaling, Factor Analysis
Bauer, Daniel J. – Journal of Educational and Behavioral Statistics, 2003
Multilevel linear models (MLMs) provide a powerful framework for analyzing data collected at nested or non-nested levels, such as students within classrooms. The current article draws on recent analytical and software advances to demonstrate that a broad class of MLMs may be estimated as structural equation models (SEMs). Moreover, within the SEM…
Descriptors: Structural Equation Models, Data Analysis, Computer Software, Evaluation Methods