Calculates the gamma statistic of agreement for ordinal data (A.W. Gordon).
Options
PRINT = string token |
Whether to print the statistic with its associated information and the resulting test (test); default test |
|---|---|
METHOD = string token |
Type of test required (twosided, positive, negative); default twos |
Parameters
DATA = tables |
Tables of data each classified by the two variables (factors) of interest |
|---|---|
STATISTIC = scalars |
Save the value of gamma for each data table |
VARIANCE = scalars |
Save the corresponding variances |
Description
The gamma statistic (Siegel & Castellan 1988, pages 291-298) provides a way of assessing the agreement between two variables measured using ordinal scales. In Genstat these would each be represented as factors whose levels represent a ranking of the individuals according to some measurement.
For example, suppose we have a factor A with r levels and a factor B with k levels. The data for GSTATISTIC, specified by the DATA parameter, consists of an r by k table classified by A and B, whose entries indicate the number of times that the ith level of variable A occurs with the jth level of variable B. The table must not contain any missing values. The statistic has the value 1 when there is no disagreement in the ordering of the variables, -1 if the ordering defined by A has no disagreement with the reverse of the ordering defined by B, and zero if the variables are independent.
The printing of the test statistic and its associated information is controlled by the PRINT option. With the default, test, the procedure prints the number of times that the variables agree and disagree, the resulting value of gamma and its variance. When the number of observations N is large, the sampling distribution of gamma is approximately Normal. The procedure thus also prints the value of gamma divided by the variance, and its probability assuming a Normal distribution. A warning is printed if N is less than 20.
The test is assumed to be two-sided (i.e. no prior knowledge is assumed about the type of association) unless otherwise requested by the METHOD option. Setting METHOD=positive will give a one-sided test of the null hypothesis that there is a positive association. Similarly, METHOD=negative will produce a one-sided test that there is a negative association.
The STATISTIC and VARIANCE parameters allow gamma and its variance to be saved, in scalars.
Option: PRINT, METHOD.
Parameters: DATA, STATISTIC, VARIANCE.
Method
The method used is as described in Siegel & Castellan (1988, pages 291-298).
Reference
Siegel, S. & Castellan, N.J. (1988). Nonparametric Statistics for the behavioural sciences (second edition). McGraw-Hill, New York.
See also
Procedure: KAPPA.
Commands for Basic and nonparametric statistics.
Example
CAPTION 'GSTATISTIC example',\
'Data from Siegel & Castellan (1988) p. 296'; STYLE=meta,plain
FACTOR [LABELS=!t('Successful quitter','In-process quitter',\
'Unsuccessful quitter')] Ability
& [LABELS=!t('1','2-4','5-9','10-14','15-19','20-25','>25')] Time
TABLE [CLASSIFICATION=Ability,Time; VALUES=13,29,26, 22,9,8, 8,5,2,\
6,2,1, 3,0,1, 9,16,14, 21,16,29] Nurses
PRINT Nurses; FIELD=6; DECIMALS=0
GSTATISTIC Nurses