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Shujuan, Wang; Meihua, Qian; Jianxin, Zhang – Journal of Psychoeducational Assessment, 2009
This article examines the psychometric structure of the Anxiety Control Questionnaire (ACQ) in Chinese adolescents. With the data collected from 212 senior high school students (94 females, 110 males, 8 unknown), seven models are tested using confirmatory factor analyses in the framework of the multitrait-multimethod strategy. Results indicate…
Descriptors: Multitrait Multimethod Techniques, Factor Structure, Adolescents, Measures (Individuals)
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Hill, Crystal R.; Hughes, Jan N. – School Psychology Quarterly, 2007
This study examined the factor structure of the parent and teacher versions of the Strengths and Difficulties Questionnaire (SDQ; R. Goodman, 1997) with a sample of first-grade children at risk for educational failure. The 5-factor model previously found in studies using exploratory factor analysis was fit to the data for both parent and teacher…
Descriptors: Questionnaires, Parents, Ethnic Groups, Test Validity
Wothke, Werner – 1987
Several multivariate statistical methodologies have been proposed to ensure objective and quantitative evaluation of the multitrait-multimethod matrix. The paper examines the performance of confirmatory factor analysis and covariance component models. It is shown, both empirically and formally, that confirmatory factor analysis is not a reliable…
Descriptors: Analysis of Covariance, Correlation, Estimation (Mathematics), Factor Analysis
Peterson, Gary W. – 1986
Construct validity of a prototype baccalaureate generic problem solving skills test was explored through a structural analysis. The assessment method used three real-life problem situations crossed by six generic skills, namely Decision-Making, Communication, Analysis, Synthesis, Valuing and Execution. There were six written responses for each…
Descriptors: Cognitive Processes, Cognitive Tests, College Students, Factor Analysis
Marsh, Herbert W.; Hocevar, Dennis – 1986
The advantages of applying confirmatory factor analysis (CFA) to multitrait-multimethod (MTMM) data are widely recognized. However, because CFA as traditionally applied to MTMM data incorporates single indicators of each scale (i.e., each trait/method combination), important weaknesses are the failure to: (1) correct appropriately for measurement…
Descriptors: Computer Software, Construct Validity, Correlation, Error of Measurement