Here are more details on the hypothesis test of no effect, which for the sophisticated reader will provide the same information provided by the confidence interval on d, but, IMHO, not for the naive reader (that is, most consumers of and many producers of behavioral research).
A. n1 = 2, n2 = 2, t(2) = 4.25, p = .0512. Using the SPSS script at http://core.ecu.edu/psyc/wuenschk/SPSS/CI-d-SPSS.zip or the SAS program at http://core.ecu.edu/psyc/wuenschk/SAS/Conf-Interval-d2.sas , g (point estimate of Cohen's d) = 4.25 and a 95% confidence interval on d runs from -.0135 to 8.5415. Yes, I purposely chose a small sample size and a big point estimate of effect, better to illustrate my point. B. n1 = 5000, n2 = 5000, t(9998) = 1.95, p = .0512, g = .039, and the confidence interval for d runs from -.0002 to .0782. ----- Original Message ----- From: "Paul Smith" <[EMAIL PROTECTED]> To: "Teaching in the Psychological Sciences" <[email protected]> Sent: Saturday, June 25, 2005 11:23 AM Subject: Re: p = .051 Could you comment on how this comparison would look to you if instead of just the p-value from the hypothesis test, you also included a measure of effect size? This is a very interesting discussion. Thanks, Paul Smith Karl L. Wuensch wrote: > My point is that the CI gives you everything you get with the hypothesis > test and more. --- You are currently subscribed to tips as: [email protected] To unsubscribe send a blank email to [EMAIL PROTECTED]
