get_variance_method

Summarize the variance estimation method for the survey design

internal

Facilitates nonresponse bias analysis (NRBA)
for survey data. Such data may arise from a complex
sampling design with features such as stratification, clustering, or
unequal probabilities of selection. Multiple types of analyses may be
conducted: comparisons of response rates across subgroups; comparisons
of estimates before and after weighting adjustments; comparisons of
sample-based estimates to external population totals; tests of
systematic differences in covariate means between respondents
and full samples; tests of independence between response status
and covariates; and modeling of outcomes and response status as a
function of covariates. Extensive documentation and references are
provided for each type of analysis. Krenzke, Van de Kerckhove,
and Mohadjer (2005) <http://www.asasrms.org/Proceedings/y2005/files/JSM2005-000572.pdf>
and Lohr and Riddles (2016) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2016002/article/14677-eng.pdf?st=q7PyNsGR>
provide an overview of the methods implemented in this package.

Ben Schneider

nrba

Methods for Conducting Nonresponse Bias Analysis (NRBA)

Jim Green

Shelley Brock

Tom Krenzke

Michael Jones

Wendy Van de Kerckhove

David Ferraro

Laura Alvarez-Rojas

Katie Hubbell

Westat 

get_variance_method function

<dl><dt>survey_design</dt>
<dd>A survey design object created with the <code>survey</code> package.</dd></dl>

Arguments

Summarize the variance estimation method for the survey design — get_variance_method

<dl>

<dt>survey_design</dt>
<dd>A survey design object created with the <code>survey</code> package.</dd>

</dl>

Summarize the variance estimation method for the survey design

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get_variance_method: Summarize the variance estimation method for the survey design

Description

Usage

Value

Arguments

Details