R Dataset / Package psych / Gorsuch

How To Create a Barplot

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How To Create a Stacked Barplot

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How To Create a Pie Chart

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How To Compute the Mean

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How To Create a Plot

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How to Compute the Median

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Boxplot

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Correlation Coefficient

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Cumulative Frequency Histogram

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Dotplot

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Hollow Histogram

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Numerical Summaries

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Pie Chart

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Plot

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Ratio

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Regression

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Stem and Leaf Plots

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Visual Summaries

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Submitted by pmagunia on March 9, 2018 - 1:06 PM
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Attachment Size
dataset-85438.csv 638 bytes
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Documentation

On this Picostat.com statistics page, you will find information about the Gorsuch data set which pertains to Example data set from Gorsuch (1997) for an example factor extension.. The Gorsuch data set is found in the psych R package. Try to load the Gorsuch data set in R by issuing the following command at the console data("Gorsuch"). This may load the data into a variable called Gorsuch. If R says the Gorsuch 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 with library("psych") followed by data("Gorsuch"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing Gorsuch at the command-line which should display the entire dataset.

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 Gorsuch R data set. The size of this file is about 638 bytes.


Example data set from Gorsuch (1997) for an example factor extension.

Description

Gorsuch (1997) suggests an alternative to the classic Dwyer (1937) factor extension technique. This data set is taken from that article. Useful for comparing link{fa.extension} with and without the correct=TRUE option.

Usage

data(Gorsuch)

Details

Gorsuc (1997) suggested an alternative model for factor extension. His method is appropriate for the case of repeated variables. This is handled in link{fa.extension} with correct=FALSE

Source

Richard L. Gorsuch (1997) New Procedure for Extension Analysis in Exploratory Factor Analysis. Educational and Psychological Measurement, 57, 725-740.

References

Dwyer, Paul S. (1937), The determination of the factor loadings of a given test from the known factor loadings of other tests. Psychometrika, 3, 173-178

Examples

data(Gorsuch)Ro <- Gorsuch[1:6,1:6]
Roe <- Gorsuch[1:6,7:10]
fo <- fa(Ro,2,rotate="none")
fa.extension(Roe,fo,correct=FALSE)

--

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