Description Usage Arguments Value Author(s) References Examples
Often recognized as Cronbach's alpha, Guttman's Lambda 3 can be used to estimate reliability when the data can be split in parallel forms.
1 |
x |
Can be either a data matrix or a covariance matrix |
item.stats.max |
items statistics shown if the number of items are less than this value. |
missing |
how to handle missing values. |
lambda3 |
The unstandardized and standardized lambda3 estimate. |
item.stats |
If the input data was a covariance matrix then this is a table of reliability estimates if an item was dropped. If the input data is a data frame then the mean, standard deviation, and number of observations are also included. |
items |
The number of items. |
item.stats.max |
The maximum number of item to display the item.stats table (user specified). |
Tyler Hunt tyler@psychoanalytix.com
Cronbach L (1951). "Coefficient Alpha and the Internal Structure of Tests." Psychometrika, 16, 297-334. Guttman L (1945). "A Basis for Analyzing Test-Retest Reliability." Psychometrika, 10, 255-282.
1 |
Coefficient Alpha (Guttman's Lambda 3 Coefficient)
Unstandardized
0.88
Standardized
0.883
Item Statistics
Mean SD Obs If.Dropped
SEFailureR 3.336 0.734 837 0.852
SENoGoodR 2.860 0.901 837 0.850
SEAble 3.133 0.597 837 0.870
SEUselessR 2.654 0.848 837 0.857
SENoProudR 3.174 0.811 837 0.852
SEGoodQualities 3.302 0.629 837 0.859
SEWorth 3.337 0.627 837 0.860
SEPositive 3.149 0.671 837 0.852
SERespectR 2.362 0.822 837 0.873
SESatisfied 3.168 0.708 837 0.852
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