## Can SPSS calculate Fleiss kappa?

Unfortunately, FLEISS KAPPA is not a built-in procedure in SPSS Statistics, so you need to first download this program as an “extension” using the Extension Hub in SPSS Statistics. You can then run the FLEISS KAPPA procedure using SPSS Statistics.

### How is Fleiss kappa calculated?

The actual formula used to calculate this value in cell C18 is: Fleiss’ Kappa = (0.37802 – 0.2128) / (1 – 0.2128) = 0.2099.

How do you do a Kappa test in SPSS?

Test Procedure in SPSS Statistics

1. Click Analyze > Descriptive Statistics > Crosstabs…
2. You need to transfer one variable (e.g., Officer1) into the Row(s): box, and the second variable (e.g., Officer2) into the Column(s): box.
3. Click on the button.
4. Select the Kappa checkbox.
5. Click on the.
6. Click on the button.

How do you run Inter rater reliability in SPSS?

Specify Analyze>Scale>Reliability Analysis. Specify the raters as the variables, click on Statistics, check the box for Intraclass correlation coefficient, choose the desired model, click Continue, then OK.

## What is Fleiss Kappa used for?

Fleiss’ kappa (named after Joseph L. Fleiss) is a statistical measure for assessing the reliability of agreement between a fixed number of raters when assigning categorical ratings to a number of items or classifying items.

### What is the difference between ICC and Kappa?

Though both measure inter-rater agreement (reliability of measurements), Kappa agreement test is used for categorical variables, while ICC is used for continuous quantitative variables.

How do you interpret Cohen’s Kappa?

Cohen suggested the Kappa result be interpreted as follows: values ≤ 0 as indicating no agreement and 0.01–0.20 as none to slight, 0.21–0.40 as fair, 0.41– 0.60 as moderate, 0.61–0.80 as substantial, and 0.81–1.00 as almost perfect agreement.

How do you read Fleiss kappa?

Fleiss’ kappa can be used with binary or nominal-scale….Interpretation.

Interpretation
0.21 – 0.40 Fair agreement
0.41 – 0.60 Moderate agreement
0.61 – 0.80 Substantial agreement
0.81 – 1.00 Almost perfect agreement