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This data set is a contingency table of job satisfaction by income for a small sample of black males from the 1996 General Social Survey, as used by Agresti (2002) for an example.

Usage

data(JobSat)

Format

A 4 x 4 contingency table of income by satisfaction, with the following structure:


 table [1:4, 1:4] 1 2 1 0 3 3 6 1 10 10 ...
 - attr(*, "dimnames")=List of 2
  ..$ income      : chr [1:4] "< 15k" "15-25k" "25-40k" "> 40k"
  ..$ satisfaction: chr [1:4] "VeryD" "LittleD" "ModerateS" "VeryS"

Details

Both income and satisfaction are ordinal variables, and are so ordered in the table. Measures of association, visualizations, and models should take ordinality into account.

Source

Agresti, A. Categorical Data Analysis John Wiley & Sons, 2002, Table 2.8, p. 57.

Examples

data(JobSat)
assocstats(JobSat)
#>                     X^2 df P(> X^2)
#> Likelihood Ratio 6.7641  9  0.66167
#> Pearson          5.9655  9  0.74336
#> 
#> Phi-Coefficient   : NA 
#> Contingency Coeff.: 0.242 
#> Cramer's V        : 0.144 
GKgamma(JobSat)
#> gamma        : 0.221 
#> std. error   : 0.117 
#> CI           : -0.009 0.451