On this R-data statistics page, you will find information about the Harman.political data set which pertains to Eight political variables used by Harman (1967) as example 8.17 . The Harman.political data set is found in the psych R package. You can load the Harman.political data set in R by issuing the following command at the console data("Harman.political"). This will load the data into a variable called Harman.political. If R says the Harman.political data set is not found, you can try installing the package by issuing this command install.packages("psych") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Harman.political R data set. The size of this file is about 520 bytes.

Eight political variables used by Harman (1967) as example 8.17

Description

Another one of the many Harman (1967) data sets. This contains 8 political variables taken over 147 election areas. The principal factor method with SMCs as communalities match those of table 8.18. The data are used by Dziubian and Shirkey as an example of the Kaiser-Meyer-Olkin test of factor adequacy.

Usage

data(Harman.political)

Format

The format is: num [1:8, 1:8] 1 0.84 0.62 -0.53 0.03 0.57 -0.33 -0.63 0.84 1 ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:8] "Lewis" "Roosevelt" "Party Voting" "Median Rental" ... ..$ : chr [1:8] "Lewis" "Roosevelt" "Party Voting" "Median Rental" ...

Details

The communalities from the original table are not included. They are .52, 1.00, .78, .82, .36, .80, .63, and .97

Source

Harman, Harry Horace (1976) Modern factor analysis, 3d ed., rev, University of Chicago Press. Chicago. p 166.

References

Dziuban, Charles D. and Shirkey, Edwin C. (1974) When is a correlation matrix appropriate for factor analysis? Some decision rules. Psychological Bulletin, 81 (6) 358 - 361.

Examples

data(Harman.political)
KMO(Harman.political)

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Dataset imported from https://www.r-project.org.