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Alessandri, Guido; Vecchione, Michele; Fagnani, Corrado; Bentler, Peter M.; Barbaranelli, Claudio; Medda, Emanuela; Nistico, Lorenza; Stazi, Maria Antonietta; Caprara, Gian Vittorio – Structural Equation Modeling: A Multidisciplinary Journal, 2010
When a self-report instrument includes a balanced number of positively and negatively worded items, factor analysts often use method effect factors to aid model fitting. One of the most widely investigated sources of method effects stems from the respondent tendencies to agree with an item regardless of its content. The nature of these effects,…
Descriptors: Measurement Techniques, Attitude Measures, Twins, Genetics
French, Brian F.; Finch, W. Holmes – Structural Equation Modeling: A Multidisciplinary Journal, 2008
Multigroup confirmatory factor analysis (MCFA) is a popular method for the examination of measurement invariance and specifically, factor invariance. Recent research has begun to focus on using MCFA to detect invariance for test items. MCFA requires certain parameters (e.g., factor loadings) to be constrained for model identification, which are…
Descriptors: Test Items, Simulation, Factor Structure, Factor Analysis
Vlachopoulos, Symeon P. – Structural Equation Modeling: A Multidisciplinary Journal, 2008
This study examined the extent of measurement invariance of the Basic Psychological Needs in Exercise Scale responses (BPNES; Vlachopoulos & Michailidou, 2006) across male (n = 716) and female (n = 1,147) exercise participants. BPNES responses from exercise participants attending private fitness centers (n = 1,012) and community exercise programs…
Descriptors: Psychological Patterns, Factor Structure, Measures (Individuals), Measurement