Description Format Note See Also Examples
Number of assessors (rows) is larger then the number of assessed
(columns).
This data set has missing ratings. It is the result of
readratdatafixed("<example3.rat.txt>")
. A 7-point rating scale has
been used. 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 ratee (diagonal), the rating is NA.
This dataframe has 7 rated persons, who are assessed by 10 raters.
a numeric vector, identifying the second group level
a numeric vector, identifying the first group level.
a numeric vector, identifying the individual.
ratings received by respondent 1.
ratings received by respondent 2.
ratings received by respondent 3.
ratings received by respondent 4.
ratings received by respondent 5.
ratings received by respondent 6.
ratings received by respondent 7.
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)
readratdatafixed
example1.rat
example1a.rat
example2.rat
example3.rat
example4.rat
example5.rat
example6.rat
example7.rat
klas2.rat
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