IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v13y2013i1p21-38.html
   My bibliography  Save this article

Versatile sample-size calculation using simulation

Author

Listed:
  • Richard Hooper

    (Queen Mary, University of London)

Abstract

I present a new Stata command, simsam, that uses simulation to determine the sample size required to achieve a given statistical power for any hypothesis test under any probability model that can be programmed in Stata. simsam returns the smallest sample size (or smallest multiple of 5, 10, or some other user-specified increment) so that the estimated power exceeds the target. The user controls the precision of the power estimate, and power is reported with a confidence interval. The sample size returned is reliable to the extent that if simsam is repeated, it will, nearly every time, give a sample size no more than one increment away. Copyright 2013 by StataCorp LP.

Suggested Citation

  • Richard Hooper, 2013. "Versatile sample-size calculation using simulation," Stata Journal, StataCorp LP, vol. 13(1), pages 21-38, March.
    • Handle: RePEc:tsj:stataj:v:13:y:2013:i:1:p:21-38
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj13-1/st0282/
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/article.html?article=st0282
    File Function: link to article purchase
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. A. H. Feiveson, 2002. "Power by simulation," Stata Journal, StataCorp LP, vol. 2(2), pages 107-124, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Brendon McConnell & Marcos Vera-Hernandez, 2015. "Going beyond simple sample size calculations: a practitioner's guide," IFS Working Papers W15/17, Institute for Fiscal Studies.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Theresa Wimberley & Erik Parner & Henrik Støvring, 2013. "Stata as a numerical tool for scientific thought experiments: A tutorial with worked examples," Stata Journal, StataCorp LP, vol. 13(1), pages 3-20, March.
    2. Eszter Czibor & David Jimenez‐Gomez & John A. List, 2019. "The Dozen Things Experimental Economists Should Do (More of)," Southern Economic Journal, John Wiley & Sons, vol. 86(2), pages 371-432, October.
    3. Timothy R. Wojan & Jason P. Brown & Dayton M. Lambert, 2014. "What to Do about the "Cult of Statistical Significance"? A Renewable Fuel Application using the Neyman-Pearson Protocol," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 36(4), pages 674-695.
    4. Brian Albert Monroe, 2020. "The statistical power of individual-level risk preference estimation," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(2), pages 168-188, December.
    5. Brendon McConnell & Marcos Vera-Hernandez, 2015. "Going beyond simple sample size calculations: a practitioner's guide," IFS Working Papers W15/17, Institute for Fiscal Studies.
    6. Charles Bellemare & Luc Bissonnette & Sabine Kröger, 2014. "Statistical Power of Within and Between-Subjects Designs in Economic Experiments," CESifo Working Paper Series 5055, CESifo.
    7. Leah H. Palm-Forster & Paul J. Ferraro & Nicholas Janusch & Christian A. Vossler & Kent D. Messer, 2019. "Behavioral and Experimental Agri-Environmental Research: Methodological Challenges, Literature Gaps, and Recommendations," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(3), pages 719-742, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tsj:stataj:v:13:y:2013:i:1:p:21-38. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum or Lisa Gilmore (email available below). General contact details of provider: http://www.stata-journal.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.