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Evaluating EIV, OLS, and SEM Estimators of Group Slope Differences in the Presence of Measurement Error: The Single-Indicator Case
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Culpepper, Steven Andrew – Applied Psychological Measurement, 2012
Measurement error significantly biases interaction effects and distorts researchers' inferences regarding interactive hypotheses. This article focuses on the single-indicator case and shows how to accurately estimate group slope differences by disattenuating interaction effects with errors-in-variables (EIV) regression. New analytic findings were…
Descriptors: Evidence, Test Length, Interaction, Regression (Statistics)
Effect of Organizational Factors on Information Security Implementations
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Perez, Rafael G. – ProQuest LLC, 2013
The purpose of this quantitative inferential study is to determine the level of correlation between the organizational factors of information security awareness, balanced security processes, and organizational structure with the size of the estimation gap of information security implementations mediated by the end user intentionality. The study…
Descriptors: Information Security, Information Management, Correlation, Administrative Organization
A Mixture-Modeling Approach to Exploring Test-Taking Motivation in Large-Scale Low-Stakes Contexts
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Horst, S. Jeanne – ProQuest LLC, 2010
Despite high-stakes applications of assessment findings, assessment data are frequently collected in situations that are of low-stakes to examinees. Because low-stakes tests are of little consequence to the examinees, test-taking motivation and thus the validity of inferences drawn from unmotivated examinees' scores are of concern. The current…
Descriptors: Personality Traits, Motivation, Personality, Data Analysis
A Double-Structure Structural Equation Model for Three-Mode Data
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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
Strategic Competence as a Fourth-Order Factor Model: A Structural Equation Modeling Approach
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Phakiti, Aek – Language Assessment Quarterly, 2008
This article reports on an empirical study that tests a fourth-order factor model of strategic competence through the use of structural equation modeling (SEM). The study examines the hierarchical relationship of strategic competence to (a) strategic knowledge of cognitive and metacognitive strategy use in general (i.e., trait) and (b) strategic…
Descriptors: Structural Equation Models, Reading Achievement, Reading Tests, Learning Strategies
Perceived Understanding as a Mediator of Perceived Teacher Confirmation and Students' Ratings of Instruction
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Schrodt, Paul; Turman, Paul D.; Soliz, Jordan – Communication Education, 2006
This study tested two theoretical models of perceived understanding as a potential mediator of perceived teacher confirmation and students' ratings of instruction. Participants included 651 undergraduate students who completed survey measures. Results of structural equation modeling provided greater support for the confirmation process model,…
Descriptors: Undergraduate Students, Models, Structural Equation Models, Credibility