alpha

Performs Cronbach's alpha of specified items from a data frame.
Cronbach's Alpha is a formula for estimating the internal consistency
reliability of a measurement instrument such as survey items (see Allen &amp; Yang, 1979; Kline, 1999).
Survey items can have 2 or more categories such as 5-point scales and contain 2 or more items.

Conducts analyses for healthcare program evaluations or intervention
studies. Calculates regression analyses for standard ordinary least squares
(OLS or linear) or logistic models. Performs regression models used for
causal modeling such as differences-in-differences (DID) and interrupted
time series (ITS) models. Provides limited interpretations of model
results and a ranking of variable importance in models. Performs
propensity score models, top-coding of model outcome variables, and
can return new data with the newly formed variables. Also performs Cronbach's
alpha for various scale items (e.g., survey questions). See Github URL for
examples in the README file. For more details on the statistical methods, see
Allen & Yen (1979, ISBN:0-8185-0283-5),
Angrist & Pischke (2009, ISBN:9780691120355),
Harrell (2016, ISBN:978-3-319-19424-0),
Kline (1999, ISBN:9780415211581), and
Linden (2015) <doi:10.1177/1536867X1501500208>.

Stephen Zuniga

Healthcare Analysis Methods

alpha function

<dl><dt>items</dt>
<dd>Vector of item names that form a scale (e.g., 5-point Likert scales)</dd>
<dt>data</dt>
<dd>Data frame object.</dd></dl>

Arguments

Calculates Cronbach's alpha on scale items — alpha

<dl>

<dt>items</dt>
<dd>Vector of item names that form a scale (e.g., 5-point Likert scales)</dd>


<dt>data</dt>
<dd>Data frame object.</dd>

</dl>

alpha: Calculates Cronbach's alpha on scale items

Description

Usage

Value

Arguments

References

Examples