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• W4200478052 abstract "Nowadays, exploratory and confirmatory factor analyses are two important consecutive steps in an overall analysis process. The overall analysis should start with an exploratory factor analysis that explores the data and establishes a hypothesis for the factor model in the population. Then, the analysis process should be continued with a confirmatory factor analysis to assess whether the hypothesis proposed in the exploratory step is plausible in the population. To carry out the analysis, researchers usually collect a single sample, and then split it into two halves. As no specific splitting methods have been proposed to date in the context of factor analysis, researchers use a random split approach. In this paper we propose a method to split samples into equivalent subsamples similar to one that has already been proposed in the context of multivariate regression analysis. The method was tested in simulation studies and in real datasets." @default.
• W4200478052 created "2021-12-31" @default.
• W4200478052 creator A5024564034 @default.
• W4200478052 date "2021-12-16" @default.
• W4200478052 modified "2023-10-16" @default.
• W4200478052 title "SOLOMON: a method for splitting a sample into equivalent subsamples in factor analysis" @default.
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• W4200478052 doi "https://doi.org/10.3758/s13428-021-01750-y" @default.
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