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Lambda4 (version 3.0)

lambda3: Compute Guttman's Lambda 3 Coefficient (Coefficent Alpha)

Description

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.

Usage

lambda3(x, item.stats.max = 12, missing = "complete")

Arguments

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.

Value

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).

References

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.

Examples

Run this code
lambda3(Rosenberg)

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