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Marsh, Herbert W.; Liem, Gregory Arief D.; Martin, Andrew J.; Morin, Alexandre J. S.; Nagengast, Benjamin – Journal of Psychoeducational Assessment, 2011
The most popular measures of multidimensional constructs typically fail to meet standards of good measurement: goodness of fit, measurement invariance, lack of differential item functioning, and well-differentiated factors that are not so highly correlated as to detract from their discriminant validity. Part of the problem, the authors argue, is…
Descriptors: Structural Equation Models, Factor Analysis, Factor Structure, Correlation
Blanco, Angeles – Journal of Vocational Behavior, 2011
This study investigated the usefulness of social cognitive career theory--SCCT (Lent, Brown, and Hackett, 1994) in predicting interests and goals relating to statistics among psychology students. The participants were 1036 Spanish students who completed measurements of statistics-related mastery experiences, self-efficacy, outcome expectations,…
Descriptors: Social Theories, Student Interests, Objectives, Statistics
Crayen, Claudia; Geiser, Christian; Scheithauer, Herbert; Eid, Michael – Structural Equation Modeling: A Multidisciplinary Journal, 2011
In many intervention and evaluation studies, outcome variables are assessed using a multimethod approach comparing multiple groups over time. In this article, we show how evaluation data obtained from a complex multitrait-multimethod-multioccasion-multigroup design can be analyzed with structural equation models. In particular, we show how the…
Descriptors: Structural Equation Models, Multitrait Multimethod Techniques, Program Evaluation, Preschool Children
Tempelaar, Dirk T.; van der Loeff, Sybrand Schim; Gijselaers, Wim H.; Nijhuis, Jan F. H. – Research in Higher Education, 2011
Student achievement motivations are crucial in learning in two ways: as a determinant and an aim of learning. In this study, we focus on two related questions with regard to achievement motivations: to what extent are they subject-specific, and to what extent are they malleable? Answers to both questions are especially important when aiming to…
Descriptors: Student Motivation, Achievement Need, College Students, Structural Equation Models
Imai, Kosuke; Keele, Luke; Tingley, Dustin – Psychological Methods, 2010
Traditionally in the social sciences, causal mediation analysis has been formulated, understood, and implemented within the framework of linear structural equation models. We argue and demonstrate that this is problematic for 3 reasons: the lack of a general definition of causal mediation effects independent of a particular statistical model, the…
Descriptors: Structural Equation Models, Statistical Analysis, Statistical Inference, Intervention
Mair, Patrick; Wu, Eric; Bentler, Peter M. – Structural Equation Modeling: A Multidisciplinary Journal, 2010
The REQS package is an interface between the R environment of statistical computing and the EQS software for structural equation modeling. The package consists of 3 main functions that read EQS script files and import the results into R, call EQS script files from R, and run EQS script files from R and import the results after EQS computations.…
Descriptors: Structural Equation Models, Computer Software, Statistical Analysis, Simulation
Tueller, Stephen; Lubke, Gitta – Structural Equation Modeling: A Multidisciplinary Journal, 2010
Structural equation mixture models (SEMMs) are latent class models that permit the estimation of a structural equation model within each class. Fitting SEMMs is illustrated using data from 1 wave of the Notre Dame Longitudinal Study of Aging. Based on the model used in the illustration, SEMM parameter estimation and correct class assignment are…
Descriptors: Structural Equation Models, Computation, Classification, Longitudinal Studies
Markus, Keith A. – Structural Equation Modeling: A Multidisciplinary Journal, 2010
One common application of structural equation modeling (SEM) involves expressing and empirically investigating causal explanations. Nonetheless, several aspects of causal explanation that have an impact on behavioral science methodology remain poorly understood. It remains unclear whether applications of SEM should attempt to provide complete…
Descriptors: Structural Equation Models, Behavioral Science Research, Research Methodology, Influences
Cheung, Mike W. L.; Chan, Wai – Structural Equation Modeling: A Multidisciplinary Journal, 2009
Structural equation modeling (SEM) is widely used as a statistical framework to test complex models in behavioral and social sciences. When the number of publications increases, there is a need to systematically synthesize them. Methodology of synthesizing findings in the context of SEM is known as meta-analytic SEM (MASEM). Although correlation…
Descriptors: Structural Equation Models, Simulation, Social Sciences, Correlation
Liu, Yi-Lin; Liang, Chaoyun – International Journal of Educational Psychology, 2014
Using science majors as an example, we analyzed how generative cognition, organizational culture, and personality traits affect student imagination, and examined the mediating effects of generative cognition and organizational culture. A total of 473 undergraduates enrolled in physical, chemical, mathematical, and biological science programs…
Descriptors: Schemata (Cognition), Imagination, Undergraduate Students, Predictor Variables
Nes, Ragnhild B.; Røysamb, Espen; Hauge, Lars J.; Kornstad, Tom; Landolt, Markus A.; Irgens, Lorentz M.; Eskedal, Leif; Kristensen, Petter; Vollrath, Margarete E. – Developmental Psychology, 2014
This study explores the stability and change in maternal life satisfaction and psychological distress following the birth of a child with a congenital anomaly using 5 assessments from the Norwegian Mother and Child Cohort Study collected from Pregnancy Week 17 to 36 months postpartum. Participating mothers were divided into those having infants…
Descriptors: Life Satisfaction, Mothers, Psychological Patterns, Stress Variables
Jung, Hee-Jung – Language Learning & Technology, 2014
Although the concept of ubiquitous technologies has been introduced to many parts of society, there have been limited applications, and little is known about learners' behavior toward ubiquitous technologies, particularly in the context of English learning. This study considers a sample of Korean students to identify the key factors that influence…
Descriptors: Electronic Learning, Educational Technology, Computer Assisted Instruction, English (Second Language)
Bowman, Nicholas A.; Denson, Nida – Research in Higher Education, 2014
According to prevailing theory and anecdotal evidence, the congruence between institutional attributes and students' needs, interests, and preferences plays a key role in promoting college satisfaction and retention. However, this assertion has received little direct empirical attention, and the few available studies appear to have some key…
Descriptors: Intention, Academic Persistence, Factor Structure, Predictive Validity
Bahcivan, Eralp; Kapucu, Serkan – International Journal of Environmental and Science Education, 2014
This study has been conducted to investigate conceptions of learning science (COLS) and personal science teaching efficacy belief (PSTE) of Turkish preservice elementary science teachers (PSTs) and to explore the relationship between these variables. Two instruments COLS questionnaire and PSTE subscale of Science Teaching Efficacy Beliefs…
Descriptors: Preservice Teacher Education, Preservice Teachers, Elementary School Curriculum, Elementary School Science
Simms, Kathryn; Bock, Sara; Hackett, Lewis – Health Education Journal, 2014
Objective: Prior research on the efficacy of physical education has been conducted in a piecemeal fashion. More specifically, studies typically test a single benefit hypothesized to be associated with physical education (e.g. body mass index [BMI]) while excluding others (e.g. social skills) and not controlling for important confounds (e.g. diet).…
Descriptors: Prediction, Eating Habits, Body Composition, Academic Achievement

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