Datasets from Enders' Missing Data Book

Description

Datasets from Enders' missing data book (2010).

Usage

1
2
3

Format

  • Dataset data.enders.depression:

    'data.frame': 280 obs. of 8 variables:
    $ txgroup: int 0 0 0 0 0 0 0 0 0 0 ...
    $ dep1 : int 46 49 40 47 33 44 45 53 40 55 ...
    $ dep2 : int 44 42 28 47 33 41 43 35 43 45 ...
    $ dep3 : int 26 29 31 NA 34 34 34 35 35 36 ...
    $ r2 : int 0 0 0 0 0 0 0 0 0 0 ...
    $ r3 : int 0 0 0 1 0 0 0 0 0 0 ...
    $ pattern: int 3 3 3 2 3 3 3 3 3 3 ...
    $ dropout: int 0 0 0 1 0 0 0 0 0 0 ...

  • Dataset data.enders.eatingattitudes:

    'data.frame': 400 obs. of 14 variables:
    $ id : num 1 2 3 4 5 6 7 8 9 10 ...
    $ eat1 : num 4 6 3 3 3 4 5 4 4 6 ...
    $ eat2 : num 4 5 3 3 2 5 4 3 7 5 ...
    $ eat10: num 4 6 2 4 3 4 4 4 6 5 ...
    $ eat11: num 4 6 2 3 3 5 4 4 5 5 ...
    $ eat12: num 4 6 3 4 3 4 4 4 4 6 ...
    $ eat14: num 4 7 2 4 3 4 4 4 6 6 ...
    $ eat24: num 3 6 3 3 3 4 4 4 4 5 ...
    $ eat3 : num 4 5 3 3 4 4 3 6 4 5 ...
    $ eat18: num 5 6 3 5 4 5 3 6 4 6 ...
    $ eat21: num 4 5 2 4 4 4 3 5 4 5 ...
    $ bmi : num 18.9 26 18.3 18.2 24.4 ...
    $ wsb : num 9 13 6 5 10 7 11 8 10 12 ...
    $ anx : num 11 19 8 14 7 11 12 12 14 12 ..

  • Dataset data.enders.employee:

    'data.frame': 480 obs. of 9 variables:
    $ id : num 1 2 3 4 5 6 7 8 9 10 ...
    $ age : num 40 53 46 37 44 39 33 43 35 37 ...
    $ tenure : num 10 14 10 8 9 10 7 9 9 10 ...
    $ female : num 1 1 1 1 1 1 1 1 1 1 ...
    $ wbeing : num 8 6 NA 7 NA 7 NA 7 7 5 ...
    $ jobsat : num 8 5 7 NA 5 NA 5 NA 7 6 ...
    $ jobperf : num 6 5 7 5 5 7 7 7 7 6 ...
    $ turnover: num 0 0 0 0 0 0 0 0 1 0 ...
    $ iq : num 106 93 107 94 107 118 103 106 108 97 ...

Source

The datasets were downloaded from http://www.appliedmissingdata.com/book-examples.html.

References

Enders, C. K. (2010). Applied missing data analysis. Guilford Press.


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