data.ratings1: Rating Datasets

In alexanderrobitzsch/sirt: Supplementary Item Response Theory Models

Rating Datasets

Description

Some rating datasets.

Usage

data(data.ratings1)
data(data.ratings2)
data(data.ratings3)

Format

• Dataset data.ratings1:
  

  Data frame with 274 observations containing 5 criteria (k1, ..., k5), 135 students and 7 raters.

  'data.frame': 274 obs. of 7 variables:
$ idstud: int 100020106 100020106 100070101 100070101 100100109 ...
$ rater : Factor w/ 16 levels "db01","db02",..: 3 15 5 10 2 1 5 4 1 5 ...
$ k1 : int 1 1 0 1 2 0 1 3 0 0 ...
$ k2 : int 1 1 1 1 1 0 0 3 0 0 ...
$ k3 : int 1 1 1 1 2 0 0 3 1 0 ...
$ k4 : int 1 1 1 2 1 0 0 2 0 1 ...
$ k5 : int 2 2 1 2 0 1 0 3 1 0 ...
  

  Data from a 2009 Austrian survey of national educational standards for 8th graders in German language writing. Variables k1 to k5 denote several rating criteria of writing competency.
  

• Dataset data.ratings2:
  

  Data frame with 615 observations containing 5 criteria (k1, ..., k5), 178 students and 16 raters.

  'data.frame': 615 obs. of 7 variables:
$ idstud: num 1001 1001 1002 1002 1003 ...
$ rater : chr "R03" "R15" "R05" "R10" ...
$ k1 : int 1 1 0 1 2 0 1 3 3 0 ...
$ k2 : int 1 1 1 1 1 0 0 3 3 0 ...
$ k3 : int 1 1 1 1 2 0 0 3 3 1 ...
$ k4 : int 1 1 1 2 1 0 0 2 2 0 ...
$ k5 : int 2 2 1 2 0 1 0 3 2 1 ...
  

• Dataset data.ratings3:
  

  Data frame with 3169 observations containing 4 criteria (crit2, ..., crit6), 561 students and 52 raters.

  'data.frame': 3169 obs. of 6 variables:
$ idstud: num 10001 10001 10002 10002 10003 ...
$ rater : num 840 838 842 808 830 845 813 849 809 802 ...
$ crit2 : int 1 3 3 1 2 2 2 2 3 3 ...
$ crit3 : int 2 2 2 2 2 2 2 2 3 3 ...
$ crit4 : int 1 2 2 2 1 1 1 2 2 2 ...
$ crit6 : num 4 4 4 3 4 4 4 4 4 4 ...
  

alexanderrobitzsch/sirt documentation built on Dec. 1, 2024, 2:18 a.m.