AgreeStat 2013.3 for Windows.

$45.00

AgreeStat 2013.3 is a program written in Excel VBA (Visual Basic for Applications), and is used to perform statistical analysis on the extent of agreement among multiple raters. This program is deployed as a self-automated workbook, and therefore requires no installation. This newer version of the program replaces version 2013.2. In addition to still being able to run several sub-group analyses in batch mode, there is no longer any restriction regarding the number of characters used to describe a rating. This number was limited to 7 in previous versions. Additional improvements include the possibility to compute Intraclass Correlation Coefficients that quantify intra-rater reliability under the mixed factorial design, a more accurate evaluation of intra-rater reliability coefficients in general, more stability, and more precise confidence intervals and p-values. Although not necessary, you may also want to keep the user’s guide in the same directory as AgreeStat. This user's guide refers to an earlier version of AgreeStat, but may still be very useful to new AgreeStat users.

AgreeStat 2013.3 can compute Chance-corrected Agreement Coefficients as well as Intraclass Correlation Coefficients. This program is unique in its ability to handle missing data for both chance-corrected and intraclass correlation coefficients. Additionally, to compute the weighted kappa, you are not limited to existing standard weights. You have the option of using custom weights that only you can specify. With AgreeStat, you can compute Cohen's Kappa, Conger's generalized Kappa, Gwet's AC1, Krippendorff's Alpha, Brennan-Prediger's coefficient, and various intraclass correlation coefficients. You will be able to obtain the coefficients' respective standard errors, and confidence intervals, and perform several domain analyses in batch mode.

Order AgreeStat now and take advantage of its unique features. By, the way, only with AgreeStat 2013.3 will you be able to test the validity of your analysis with respect to both the universe of subjects, and that of observers.