example5.rat: Example 5 of rating data Newcomb and Bukowski '3-point...

In SSrat: Two-Dimensional Sociometric Status Determination with Rating Scales

Description

Newcomb and Bukowski rating scale with 3 points.
The result of readratdatafixed("<example5.rat.txt>"). Numbers of assessors and assessed are equal (10). Each respondent is identified by a schoolid, a group id and a respondent id. The rows contain the assessors, the columns contain the assessed. When rater equals assessed (diagonal), the rating is NA.

Format

A data frame with 10 observations of 9 ratings.

schoolid

a numeric vector, identifying the second group level

groupid

a numeric vector, identifying the first group level.

respid

a numeric vector, identifying the individual.

r01

ratings received by respondent 1.

r02

ratings received by respondent 2.

r03

ratings received by respondent 3.

r04

ratings received by respondent 4.

r05

ratings received by respondent 5.

r06

ratings received by respondent 6.

r07

ratings received by respondent 7.

r08

ratings received by respondent 8.

r09

ratings received by respondent 9.

r10

ratings received by respondent 10.

Note

Rating data can be entered directly into a SSrat compliant dataframe, using edit. Colums needed are: "schoolid", "groupid", "respid", and for <n> raters "r01", "r02".."r<n>". Optionally, a column named "resplabel" can be entered, containing an additional identifier of the raters/assessed. The raters (assessors) are in rows and assessed in columns. For example:
mydata=data.frame(schoolid=numeric(0), groupid=numeric(0), respid=numeric(0),
r01=numeric(0), r02=numeric(0), r03=numeric(0)); mydata=edit(mydata)

See Also

readratdatafixed example1a.rat example2.rat example3.rat example4.rat example5.rat example6.rat example7.rat klas2.rat

Examples

data(example5.rat)

SSrat documentation built on May 2, 2019, 11:26 a.m.