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Ranger: Parallel Analysis of Alloy Models by Range Partitioning Nicolas RosnerJunaid H. SiddiquiNazareno AguirreDepartment of Computer Science, Ocean, UBA, Argentina, roster×DC.UBA.department of

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What is ranger parallel analysis of?

Ranger parallel analysis is a statistical method used to determine the number of factors or components in a data set.

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Researchers or analysts who are conducting factor analysis or principal component analysis may use ranger parallel analysis.

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The purpose of ranger parallel analysis is to help researchers identify the most appropriate number of factors or components to retain in their analysis.

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The main information reported on ranger parallel analysis includes the number of factors or components retained and their corresponding eigenvalues.

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