Cross-classification of job satisfaction by income

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.

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"

Source

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

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.

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