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PracTools (version 1.2.5)

Tools for Designing and Weighting Survey Samples

Description

Functions and datasets to support Valliant, Dever, and Kreuter, Practical Tools for Designing and Weighting Survey Samples (2nd edition, 2018). Contains functions for sample size calculation for survey samples using stratified or clustered one-, two-, and three-stage sample designs. Other functions compute variance components for multistage designs and sample sizes in two-phase designs. A number of example data sets are included.

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Version

Install

install.packages('PracTools')

Monthly Downloads

722

Version

1.2.5

License

GPL (>= 2)

Maintainer

Richard Valliant

Last Published

January 18th, 2022

Functions in PracTools (1.2.5)

Chen-Rust design effect

Henry design effect for pps sampling and GREG estimation of totals

Labor force population

Design effects of various types

clusOpt3fixedPSU

Compute optimal number of sample secondary sampling units (SSUs) and elements per SSU for a fixed set of primary sampling units (PSUs) in a three-stage sample

Kish design effect

Calculate a simple random sample size for estimating a proportion

Spencer design effect for pps sampling

National Health Interview Survey data from 2003: socioeconomic variables

Simple random sample size for a proportion based on margin of error

Form nonresponse adjustment classes based on propensity scores

Third grade population

Sample sizes for an attribute sample in an audit

Estimated relvariance components for 2-stage sample

Relvariance components for 2-stage sample

Allocate a sample to strata

Compute a simple random sample size for an estimated mean

Compute weighted variance

Compute a simple random sample size for an estimated mean of a continuous variable based on margin of error

Michigan Behavioral Risk Factor Surveillance Survey

Simple random sample size for difference in proportions

Compute simple random sample size for estimating a proportion

Compute optimal sample sizes for a two-stage sample

Survey of Mental Health Organizations Data

Survey of Mental Health Organizations Data

Simple random sample size for difference in means

Relvariance components for 3-stage sample

National Health Interview Survey: Demographic variables

Relvariance components for 2-stage sample

Estimate variance model parameter \(\gamma\)

Sample sizes for a double sampling design

Sample sizes for a nonresponse follow-up study

National Health Interview Survey: Demographic and health variables

Iteratively estimate variance model parameter \(\gamma\)

Class-based nonresponse adjustments

Compute a simple random sample size for an estimated mean or total for a domain

Calculate simple random sample size for estimating a proportion

Estimated relvariance components for 3-stage sample

Coefficient of variation of an estimated total in a 3-stage sample

Compute optimal sample sizes for a three-stage sample

clusOpt2fixedPSU

Optimal number of sample elements per PSU in a two-stage sample when the sample of PSUs is fixed

Coefficient of variation of an estimated total in a 2-stage sample

Generate an HMT population

Maryland area population