How to calculate Kappa Statistic? Where to use Kappa? How to interpret and calculate in SPSS?

Kappa statistic, also known as Cohen's kappa, is a measure of inter-rater agreement or reliability for categorical data. It assesses the agreement between two or more raters or observers who classify items into categories.
The kappa statistic measures the agreement beyond what would be expected by chance. It takes into account both the observed agreement between raters and the agreement expected by chance alone. The kappa coefficient ranges from -1 to 1:
A kappa value of 1 indicates perfect agreement beyond chance.
A kappa value of 0 indicates agreement equal to that expected by chance alone.
A kappa value less than 0 indicates agreement worse than expected by chance.
The interpretation of kappa values can vary depending on the field of study. In general, values above 0.8 are considered excellent agreement, values between 0.6 and 0.8 are considered good to substantial agreement, values between 0.4 and 0.6 are considered moderate agreement, and values below 0.4 indicate poor agreement.
The kappa statistic is commonly used in various fields, including medicine, psychology, social sciences, and market research, to assess the reliability or agreement between raters or observers when categorizing or classifying data.#doctorrockbritto
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