R Dataset / Package psych / cattell

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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Hollow Histogram

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Numerical Summaries

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Pie Chart

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Plot

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Regression

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Visual Summaries

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Attachment Size
dataset-51993.csv 888 bytes
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
R Dataset Help

On this Picostat.com statistics page, you will find information about the cattell data set which pertains to 12 cognitive variables from Cattell (1963) . The cattell data set is found in the psych R package. You can load the cattell data set in R by issuing the following command at the console data("cattell"). This will load the data into a variable called cattell. If R says the cattell 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 cattell R data set. The size of this file is about 888 bytes.

Documentation

12 cognitive variables from Cattell (1963)

Description

Rindskopf and Rose (1988) use this data set to demonstrate confirmatory second order factor models. It is a nice example data set to explore hierarchical structure and alternative factor solutions. It contains measures of fluid and crystallized intelligence.

Usage

data("cattell")

Format

The format is: num [1:12, 1:12] 1 0.86 0.3 0.32 0.41 0.42 0.34 0.32 0.29 0.21 ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:12] "Verbal" "Verbal2" "Space1" "Space2" ... ..$ : chr [1:12] "Verbal" "Verbal2" "Space1" "Space2" ...

Details

Cattell (1963) reported on 8 cognitive variables from Thurstone and four from the Institute for Personality Assessment Test (IPAT). Rindskopf and Rose (1988) use this data set as an example of second order factor analysis. It is thus a nice set for examining alternative solutions such as bifactor rotation, omega hierarchical, as well as esem and interbattery factor analysis.

Source

David Rindskopf and Tedd Rose, (1988) Some Theory and Applications of Confirmatory Second- Order Factor Analysis, Multivariate Behavioral Research, 23, 51-67.

References

Cattell, R. B. (1963).Theory of fluid and crystallized intelligence: A critical experiment. Journal of Educational Psychology, 54, 1-22.

David Rindskopf and Tedd Rose, (1988) Some Theory and Applications of Confirmatory Second- Order Factor Analysis, Multivariate Behavioral Research, 23, 51-67.

Examples

data(cattell)
corPlot(cattell,numbers=TRUE,upper=FALSE,diag=FALSE,
             main="12 cognitive variables from Cattell (1963)")
--

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

All Public Datasets File Size
Test 394 bytes
Q1 332 bytes
prova_Correlatio 593 bytes
profva
test 332 bytes
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