
Understanding Weighted Cohen's Kappa

Interactive Video
•
Mathematics
•
10th - 12th Grade
•
Hard
Nancy Jackson
FREE Resource
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary use of Cohen's Kappa?
To assess the agreement between two raters
To determine the reliability of a single rater
To measure the validity of a test
To calculate the average score of a test
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
When should you use weighted Cohen's Kappa instead of the regular Cohen's Kappa?
When the sample size is very large
When dealing with nominal variables
When there is no agreement between raters
When the variables are ordinal and have a rank order
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the context of weighted Cohen's Kappa, what does the term 'validity' refer to?
The degree to which raters agree
The number of categories in the variable
The accuracy of the measurement in reflecting reality
The consistency of the measurement over time
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main difference between nominal and ordinal variables?
Nominal variables have a rank order
Ordinal variables are always numerical
Ordinal variables cannot be ordered
Nominal variables can be distinguished but not ranked
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in calculating the expected frequencies for weighted Cohen's Kappa?
Subtract the expected frequencies from the observed frequencies
Calculate the sum of rows and columns
Multiply the observed frequencies by the weighting matrix
Divide the observed frequencies by the total number of cases
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the significance of the diagonal in the frequency table used for calculating Cohen's Kappa?
It shows the cases where raters disagree
It is used to calculate the weighting matrix
It represents the total number of cases
It indicates the cases where raters agree
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does linear weighting differ from quadratic weighting in the context of Cohen's Kappa?
Linear weighting gives more weight to distant scores
Quadratic weighting gives more weight to distant scores
Quadratic weighting gives less weight to distant scores
Linear weighting gives equal weight to all scores
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