Description Usage Format References
Datasets from Luedtke et al. (2018)
1 |
data.lrt18a
.
A resimulated dataset from Luedtke et al. (2018) comprising
1,782 dyads, 362 students nested with 35 groups. The dataset is a list containing
two datasets at the dyad ($dyad
) and the student ($student
) level.
The dataset at the dyad level
contains round robin ratings in Mathematics and English. The dataset at the
student level contains self ratings and grades for Mathematics and
English.
List of 2
$ dyad :'data.frame': 3564 obs. of 6 variables:
..$ iddyad : int [1:3564] 1 1 2 2 3 3 4 4 5 5 ...
..$ idperceiver: int [1:3564] 1 2 1 3 1 4 1 5 1 6 ...
..$ idtarget : int [1:3564] 2 1 3 1 4 1 5 1 6 1 ...
..$ idgroup : int [1:3564] 1 1 1 1 1 1 1 1 1 1 ...
..$ math : int [1:3564] 5 3 6 5 5 6 4 6 4 4 ...
..$ english : int [1:3564] 6 3 7 5 6 6 5 6 3 4 ...
$ student:'data.frame': 362 obs. of 7 variables:
..$ idstud : int [1:362] 1 2 3 4 5 6 7 8 9 10 ...
..$ idgroup : int [1:362] 1 1 1 1 1 1 1 1 1 2 ...
..$ female : int [1:362] 1 1 1 1 1 0 0 0 0 1 ...
..$ math_self : int [1:362] 4 6 5 5 5 4 4 4 2 7 ...
..$ english_self : int [1:362] 5 7 6 6 6 4 4 3 4 7 ...
..$ math_grade : int [1:362] 3 2 3 3 3 4 4 5 5 2 ...
..$ english_grade: int [1:362] 4 2 2 2 3 3 2 4 3 1 ...
Luedtke, O., Robitzsch, A., & Trautwein, U. (2018). Integrating covariates into social relations models: A plausible values approach for handling measurement error in perceiver and target effects. Multivariate Behavioral Research, 53(1), 102-124. doi: 10.1080/00273171.2017.1406793
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