CDM (version 7.4-19)

data.mg: Large-Scale Dataset with Multiple Groups

Description

Large-scale dataset with multiple groups, survey weights and 11 polytomous items.

Usage

data(data.mg)

Format

A data frame with 38243 observations on the following 14 variables.

idstud

Student identifier

group

Group identifier

weight

Survey weight

I1

Item 1

I2

Item 2

I3

Item 3

I4

Item 4

I5

Item 5

I6

Item 6

I7

Item 7

I8

Item 8

I9

Item 9

I10

Item 10

I11

Item 11

Examples

# NOT RUN {
library(psych)
data(dat.mg, package="CDM")
psych::describe( data.mg )
  ##   > psych::describe(data.mg)
  ##          var     n       mean       sd     median    trimmed      mad        min        max
  ##   idstud   1 38243 1039653.91 19309.80 1037899.00 1039927.73 30240.59 1007168.00 1069949.00
  ##   group    2 38243       8.06     4.07       7.00       8.06     5.93       2.00      14.00
  ##   weight   3 38243      28.76    19.25      31.88      27.92    19.12       0.79     191.89
  ##   I1       4 37665       0.88     0.32       1.00       0.98     0.00       0.00       1.00
  ##   I2       5 37639       0.93     0.25       1.00       1.00     0.00       0.00       1.00
  ##   I3       6 37473       0.76     0.43       1.00       0.83     0.00       0.00       1.00
  ##   I4       7 37687       1.88     0.39       2.00       2.00     0.00       0.00       2.00
  ##   I5       8 37638       1.36     0.75       2.00       1.44     0.00       0.00       2.00
  ##   I6       9 37587       1.05     0.82       1.00       1.06     1.48       0.00       2.00
  ##   I7      10 37576       1.55     0.85       2.00       1.57     1.48       0.00       3.00
  ##   I8      11 37044       0.45     0.50       0.00       0.44     0.00       0.00       1.00
  ##   I9      12 37249       0.48     0.50       0.00       0.47     0.00       0.00       1.00
  ##   I10     13 37318       0.63     0.48       1.00       0.66     0.00       0.00       1.00
  ##   I11     14 37412       1.35     0.80       1.00       1.35     1.48       0.00       3.00
# }