Inter-Rater Reliability Analysis using SAS: A Practical Guide for Analyzing, Categorical and Quantitative Ratings

I wrote this book, primarily to assist researchers and students with the calculation of various inter-rater reliability coefficients using the SAS system. For categorical ratings, you will learn how to use SAS for computing various chance-corrected agreement coefficients (CAC) such as Cohen's kappa, Gwet's AC1/AC2, Krippendorff's alpha and many others. For quantitative ratings, you will learn how SAS can be used to compute different variants of the Intraclass
Correlation Coefficient (ICC).

The use of SAS in this book is basic. Therefore, you do not need expert-level knowledge of SAS to find this book useful. However, I expect you to have some familiarity with the SAS environment, to be able to run an existing SAS macro and to use function modules included in a SAS/IML library. Even if your knowledge of SAS is limited, you will still be able to download all the programs discussed in this book, and to follow step-b-step instructions so that you can
reproduce the same results. If you do not have access to SAS, you may still be able to use the free cloud-based SASr OnDemand for Academics. For this, you may create a SAS profile to access this very user-friendly platform using
the following link:

https: //welcome.oda.sas.com/

Whichever version of SAS you are using, you will want to ensure that you have access the IML software. Some of the solutions recommended in this book require the use of SAS/IML functions, as previously mentioned.