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Hildreth, Laura A.; Genschel, Ulrike; Lorenz, Frederick O.; Lesser, Virginia M. – Structural Equation Modeling: A Multidisciplinary Journal, 2013
Response patterns are of importance to survey researchers because of the insight they provide into the thought processes respondents use to answer survey questions. In this article we propose the use of structural equation modeling to examine response patterns and develop a permutation test to quantify the likelihood of observing a specific…
Descriptors: Questionnaires, Response Style (Tests), Structural Equation Models, Surveys
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Revilla, Melanie; Saris, Willem E. – Structural Equation Modeling: A Multidisciplinary Journal, 2013
Saris, Satorra, and Coenders (2004) proposed a new approach to estimate the quality of survey questions, combining the advantages of 2 existing approaches: the multitrait-multimethod (MTMM) and the split-ballot (SB) ones. Implemented in practice, this new approach led to frequent problems of nonconvergence and improper solutions. This article uses…
Descriptors: Multitrait Multimethod Techniques, Surveys, Monte Carlo Methods, Correlation
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Wu, Jiun-Yu; Kwok, Oi-man – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Both ad-hoc robust sandwich standard error estimators (design-based approach) and multilevel analysis (model-based approach) are commonly used for analyzing complex survey data with nonindependent observations. Although these 2 approaches perform equally well on analyzing complex survey data with equal between- and within-level model structures…
Descriptors: Structural Equation Models, Surveys, Data Analysis, Comparative Analysis
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Stapleton, Laura M. – Structural Equation Modeling: A Multidisciplinary Journal, 2006
This article discusses 5 approaches that secondary researchers might use to obtain robust estimates in structural equation modeling analyses when using data that come from large survey programs. These survey programs usually collect data using complex sampling designs and estimates obtained from conventional analyses that ignore the dependencies…
Descriptors: Structural Equation Models, Surveys, Sampling, Problem Solving