POWER_ICC: Stata module to compute power and sample size for one-way random-effects intraclass correlation

Ariel Linden

Statistical Software Components from Boston College Department of Economics

Abstract: power icc computes sample size or power for a one-way random-effects intraclass correlation, according to Equation 7 of Zou (2012), which is equivalent to that given by Walter et al. (1998) who derived the formulas from a hypothesis testing perspective. power icc is useful for computing power/sample size under three different scenarios; (1) when "n" subjects are each rated by the same "k" raters (inter-rater reliability), (2) a single subject is assessed repeatedly on each of several occasions (test-retest reliability) or (3), when replicates consisting of different occasions are taken on different subjects by a single rater (Shoukri et al 2004).

Language: Stata
Requires: Stata version 11
Keywords: power; intraclass correlation; inter-rater reliability; agreement; reliability; measure of agreement (search for similar items in EconPapers)
Date: 2023-07-04
Note: This module should be installed from within Stata by typing "ssc install power_icc". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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http://fmwww.bc.edu/repec/bocode/p/powerFile-URL:h ... bocode/_/cmd_icc.ado program code (text/plain)
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http://fmwww.bc.edu/repec/bocode/p/powerFile-URL:h ... e/_/cmd_icc_init.ado program code (text/plain)
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http://fmwww.bc.edu/repec/bocode/p/power_icc.sthlp help file (text/plain)

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