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Jin, Ying – International Journal of Behavioral Development, 2020
This research examines the performance of the previously proposed cutoff values of alternative fit indices (i.e., change in comparative fit index [(delta)CFI], change in Tucker-Lewis index [(delta)TLI], and change in root mean squared error of approximation [(delta)RMSEA]) to evaluate measurement invariance for exploratory structural equation…
Descriptors: Structural Equation Models, Goodness of Fit, Measurement, Factor Analysis
Gonzales, Joseph E. – Measurement: Interdisciplinary Research and Perspectives, 2021
JMP® Pro has introduced a new structural equation modeling (SEM) platform to its suite of multivariate methods of analysis. Utilizing their graphical user interface, JMP Pro has created a SEM platform that is easily navigable for both experienced and novice SEM users. As a new platform, JMP Pro does not have the capacity to implement certain…
Descriptors: Structural Equation Models, Multivariate Analysis, Usability, Factor Analysis
Alamer, Abdullah; Marsh, Herbert – Studies in Second Language Acquisition, 2022
This study offers methodological synergy in the examination of factorial structure in second language (L2) research. It illustrates the effectiveness and flexibility of the recently developed exploratory structural equation modeling (ESEM) method, which integrates the advantages of exploratory factor analysis (EFA) and confirmatory factor analysis…
Descriptors: Factor Structure, Factor Analysis, Structural Equation Models, Second Language Learning
Greene, Jeffrey A.; Bernacki, Matthew L.; Plumley, Robert D.; Kuhlmann, Shelbi L.; Hogan, Kelly A.; Evans, Mara; Gates, Kathleen M.; Panter, Abigail T. – Journal of Educational Psychology, 2023
Undergraduate science, technology, engineering, and mathematics (STEM) students' motivations have a strong influence on whether and how they will persist through challenging coursework and into STEM careers. Proper conceptualization and measurement of motivation constructs, such as students' expectancies and perceptions of value and cost (i.e.,…
Descriptors: Biology, Science Instruction, Student Attitudes, Learning Motivation
Elizabeth Hannah Huvard – ProQuest LLC, 2021
Student success is often treated as an observed variable, or something that you can measure directly with a single instrument. Single course outcomes such as final course grade or learning gain on an assessment have become synonymous with success in undergraduate science education research. Continually relying on these narrow course outcomes to…
Descriptors: Introductory Courses, Biology, Science Education, College Science
Hancock, Gregory R.; An, Ji – Educational Measurement: Issues and Practice, 2018
In this ITEMS module, we frame the topic of scale reliability within a "confirmatory factor analysis" and "structural equation modeling" (SEM) context and address some of the limitations of Cronbach's a. This modeling approach has two major advantages: (1) it allows researchers to make explicit the relation between their items…
Descriptors: Reliability, Structural Equation Models, Factor Analysis, Correlation
Nagy, Gabriel; Brunner, Martin; Lüdtke, Oliver; Greiff, Samuel – Journal of Experimental Education, 2017
We present factor extension procedures for confirmatory factor analysis that provide estimates of the relations of common and unique factors with external variables that do not undergo factor analysis. We present identification strategies that build upon restrictions of the pattern of correlations between unique factors and external variables. The…
Descriptors: Factor Analysis, Evaluation Methods, Identification, Correlation
Garn, Alex C.; Webster, E. Kipling – Measurement in Physical Education and Exercise Science, 2018
The Test of Gross Motor Development--Second Edition (TGMD-2) is a widely used evaluation tool of children's fundamental motor skills (FMS). This study illustrates how exploratory structural equation modeling (ESEM) addresses current limitations associated with TGMD-2 factor structure. Using the normative dataset from the TGMD-2 manual, we test…
Descriptors: Motor Development, Performance Tests, Factor Structure, Structural Equation Models
Zhao, Yu; Lei, Pui-Wa – AERA Online Paper Repository, 2016
Despite the prevalence of ordinal observed variables in applied structural equation modeling (SEM) research, limited attention has been given to model evaluation methods suitable for ordinal variables, thus providing practitioners in the field with few guidelines to follow. This study represents a first attempt to thoroughly examine the…
Descriptors: Factor Analysis, Monte Carlo Methods, Causal Models, Least Squares Statistics
Bulut, Okan; Quo, Qi; Gierl, Mark J. – Large-scale Assessments in Education, 2017
Position effects may occur in both paper--pencil tests and computerized assessments when examinees respond to the same test items located in different positions on the test. To examine position effects in large-scale assessments, previous studies often used multilevel item response models within the generalized linear mixed modeling framework.…
Descriptors: Structural Equation Models, Educational Assessment, Measurement, Test Items
Pribeanu, Costin; Balog, Alexandru; Iordache, Dragos Daniel – Interactive Learning Environments, 2017
Augmented reality (AR) technologies could enhance learning in several ways. The quality of an AR-based educational platform is a combination of key features that manifests in usability, usefulness, and enjoyment for the learner. In this paper, we present a multidimensional model to measure the quality of an AR-based application as perceived by…
Descriptors: Computer Simulation, Educational Technology, Measurement, Educational Quality
Batistic, Saša; Tymon, Alex – Education & Training, 2017
Purpose: Drawing on the overarching framework of social capital theory, the purpose of this paper is to develop and empirically examine networking behaviour and employability within the higher education context. Design/methodology/approach: In a sample of 376 full-time business students the authors measured perceived employability, networking…
Descriptors: Social Capital, Employment Potential, Goal Orientation, Access to Information
Unsworth, Nash; Robison, Matthew K. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
A great deal of prior research has examined the relation between working memory capacity (WMC) and attention control. The current study explored the role of arousal in individual differences in WMC and attention control. Participants performed multiple WMC and attention control tasks. During the attention control tasks participants were…
Descriptors: Arousal Patterns, Short Term Memory, Attention Control, Correlation
Branum-Martin, Lee; Mehta, Paras D.; Taylor, W. Patrick; Carlson, Coleen D.; Lei, Xiaoxuan; Hunter, C. Vincent; Francis, David J. – Society for Research on Educational Effectiveness, 2015
In order to examine the effectiveness of instruction, the authors confront formidable statistical problems, including multivariate structure of classroom observations, longitudinal dependence of both classroom observations and student outcomes. As the authors begin to examine instruction, classroom observations involve multiple variables for which…
Descriptors: Instructional Effectiveness, Learning Processes, Multivariate Analysis, Classroom Observation Techniques
Niculescu, Mihai; Xu, Bing; Hampton, Gerald M.; Peterson, Robin T. – Administrative Issues Journal: Education, Practice, and Research, 2013
Historically, the measurement of market orientation has proved to be difficult, due to the low external validity of the concept. Existing scales exhibit acceptable properties in measuring market orientation in business organizations, but are less accurate in the context of higher education institutions. This paper compares the performance of three…
Descriptors: Measurement, Higher Education, Comparative Analysis, Orientation