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

Description Usage Arguments Value Author(s) References Examples

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

1
  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).

Author(s)

Tyler Hunt tyler@psychoanalytix.com

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

1

JackStat/Lambda4 documentation built on May 7, 2019, 10:16 a.m.