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Haixiang Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Mediation analysis is an important statistical tool in many research fields, where the joint significance test is widely utilized for examining mediation effects. Nevertheless, the limitation of this mediation testing method stems from its conservative Type I error, which reduces its statistical power and imposes certain constraints on its…
Descriptors: Structural Equation Models, Statistical Significance, Robustness (Statistics), Comparative Testing
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Wheeler, Sharon; Twist, Craig – European Physical Education Review, 2010
Body mass index (BMI) is increasingly recognized as an inadequate measure for determining obesity in children. Therefore, the aim within this study was to investigate other indirect methods of body fat assessment that could potentially be used in place of BMI. Twenty-four children (boys: 13.8 [plus or minus] 0.8 yr; girls: 13.3 [plus or minus] 0.5…
Descriptors: Obesity, Body Composition, Measurement Techniques, Comparative Testing
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van de Velden, Michel; Bijmolt, Tammo H. A. – Psychometrika, 2006
A method is presented for generalized canonical correlation analysis of two or more matrices with missing rows. The method is a combination of Carroll's (1968) method and the missing data approach of the OVERALS technique (Van der Burg, 1988). In a simulation study we assess the performance of the method and compare it to an existing procedure…
Descriptors: Multivariate Analysis, Matrices, Simulation, Comparative Testing
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Pituch, Keenan A.; Stapleton, Laura M.; Kang, Joo Youn – Multivariate Behavioral Research, 2006
A Monte Carlo study examined the statistical performance of single sample and bootstrap methods that can be used to test and form confidence interval estimates of indirect effects in two cluster randomized experimental designs. The designs were similar in that they featured random assignment of clusters to one of two treatment conditions and…
Descriptors: Monte Carlo Methods, Research Design, Mediation Theory, Comparative Testing
DeMars, Christine E. – Online Submission, 2005
Several methods for estimating item response theory scores for multiple subtests were compared. These methods included two multidimensional item response theory models: a bi-factor model where each subtest was a composite score based on the primary trait measured by the set of tests and a secondary trait measured by the individual subtest, and a…
Descriptors: Item Response Theory, Multidimensional Scaling, Correlation, Scoring Rubrics