svycralpha

Compute Cronbach's alpha coefficient of reliability from survey data. The formula is equation (2) of Cronbach (1951) only with design-based estimates of the variances.

survey

Summary statistics, two-sample tests, rank tests, generalised linear models, cumulative link models, Cox models, loglinear models, and general maximum pseudolikelihood estimation for multistage stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights. Post-stratification, calibration, and raking. Two-phase subsampling designs. Graphics. PPS sampling without replacement.

Thomas Lumley

Analysis of Complex Survey Samples

svycralpha function

<dl> <dt>formula</dt>
<dd>One-sided formula giving the variables that make up the total score</dd> <dt>design</dt>
<dd>survey design object</dd> <dt>na.rm</dt>
<dd><code>TRUE</code> to remove missing values</dd></dl>

Arguments

Cronbach's alpha — svycralpha

<dl>

 <dt>formula</dt>
<dd>One-sided formula giving the variables that make up the total score</dd>

 <dt>design</dt>
<dd>survey design object</dd>

 <dt>na.rm</dt>
<dd><code>TRUE</code> to remove missing values</dd>

</dl>

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svycralpha: Cronbach's alpha

Description

Usage

Value

Arguments

References

Examples