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

Author

Listed:
  • Ariel Linden

    (Linden Consulting Group, LLC)

Programming Language

Stata

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).

Suggested Citation

  • Ariel Linden, 2023. "POWER_ICC: Stata module to compute power and sample size for one-way random-effects intraclass correlation," Statistical Software Components S459216, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s459216
    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.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/p/power_cmd_icc.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/p/power_cmd_icc_init.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/p/power_icc.sthlp
    File Function: help file
    Download Restriction: no
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