sirt (version 3.9-4)

data.ratings: Rating Datasets

Description

Some rating datasets.

Usage

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

Arguments

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 ...