Zapis dokaza metode

SEM Power Analysis

Power analysis for SEM and other multivariate procedures determines the minimum sample size required to detect a model misfit of a specified magnitude with adequate probability. The dominant approach, introduced by MacCallum, Browne, and Sugawara in 1996, expresses effect size as the Root Mean Square Error of Approximation (RMSEA) and derives power from the noncentral chi-square distribution.

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Izvorni zapis

Citati kopirani doslovno iz izvornog zapisa metode. Ne impliciraju nikakvu provjeru na razini tvrdnje.

Power Analysis for Structural Equation Modeling and Multivariate Analyses

Taksonomski zapis metode · hypothesis-test / statistics

MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130–149. · DOI 10.1037/1082-989X.1.2.130

Otvori cijelu metodu

Uređene tvrdnje

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Nema uređenih tvrdnji

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Povezane metode

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Same method familyMANOVAmachine-suggested · Relational suggestion, not evidence.Same method familyMultilevel Power Analysismachine-suggested · Relational suggestion, not evidence.Same method familyPower Analysis for ANOVAmachine-suggested · Relational suggestion, not evidence.Same method familyPower Analysis for Regressionmachine-suggested · Relational suggestion, not evidence.Same method familySimulation-Based Power Analysismachine-suggested · Relational suggestion, not evidence.See alsoStructural Equation Modelingmachine-suggested · Relational suggestion, not evidence.