morphmet
Tue, 17 Nov 2009 09:16:01 -0800
Thought I posted this earlier. Apparently not. Sorry. -mod -------- Original Message -------- Subject: RE: Sample size Date: Fri, 13 Nov 2009 08:32:10 -0800 (PST) From: F. James Rohlf <ro...@life.bio.sunysb.edu> Organization: Stony Brook University To: morphmet@morphometrics.org References: <4afd72f9.1040...@morphometrics.org>There is no rule of thumb. Unequal sample sizes are just not an efficient use of one's efforts in making measurements.
For example, with two samples of sizes n1 and n2 and n1+n2 = 100 a splitlike 10 and 90 has an effective average sample size of just 18 (equivalent to a total of just 36 samples rather than the actual 100). A split of 2 and 98 has an effective average sample size of just 3.92 (equivalent to a total sample size of just 5.92).
The same considerations apply to multivariate data except that one must also be concerned with having sample sizes large enough so that the covariance matrix is not singular (see earlier discussion on morphmet).
---------------------- F. James Rohlf, Distinguished Professor Dept. Ecology and Evolution, Stony Brook University, NY 11794-5245 -----Original Message----- From: morphmet [mailto:morphmet_modera...@morphometrics.org] Sent: Friday, November 13, 2009 9:54 AM To: morphmet Subject: RE: Sample size -------- Original Message -------- Subject: RE: Sample size Date: Fri, 13 Nov 2009 04:34:31 -0800 (PST) From: Samuel Okoye <samu...@yahoo.com> To: morphmet@morphometrics.org Thank you very much for your reply. If it is not required to have equal sample sizes (n1=n2), is there any rule of thump how big the difference between the two group (e.g. n1=5 n2=15)? Does this also apply for multivariate data? Many thaks in advance, Samuel --- On *Thu, 11/12/09, morphmet /<morphmet_modera...@morphometrics.org>/* wrote: From: morphmet <morphmet_modera...@morphometrics.org> Subject: RE: Sample size To: "morphmet" <morphmet@morphometrics.org> Date: Thursday, November 12, 2009, 10:58 AM -------- Original Message -------- Subject: RE: Sample size Date: Thu, 12 Nov 2009 10:39:35 -0800 (PST) From: F. James Rohlf <ro...@life.bio.sunysb.edu </mc/compose?to=ro...@life.bio.sunysb.edu>> Organization: Ecology & Evolution To: <morphmet@morphometrics.org </mc/compose?to=morph...@morphometrics.org>> References: <4af5219d.1070...@morphometrics.org </mc/compose?to=4af5219d.1070...@morphometrics.org>> Do you mean for morphometric data (multivariate) or just univariate data? For the univariate case you could check Section 9.8 in Biometry for a method to estimate sample size. It does not, however, consider the unequal sample size case. In general, equal sample sizes are not required. The main advantage of equal sample sizes is that they are more efficient. For a given total sample size, n1+n2, you will have greater statistical power if n1=n2. Having equal sample sizes also make the computations slightly simpler but that is no longer much of an issue when computers are used to perform all of the calculations. ========================= F. James Rohlf Distinguished Professor, Stony Brook University http://life.bio.sunysb.edu/ee/rohlf > -----Original Message----- > From: morphmet [mailto:morphmet_modera...@morphometrics.org </mc/compose?to=morphmet_modera...@morphometrics.org>] > Sent: Saturday, November 07, 2009 2:28 AM > To: morphmet > Subject: Sample size > > > > -------- Original Message -------- > Subject: Sample size > Date: Wed, 4 Nov 2009 06:40:15 -0800 (PST) > From: Samuel Okoye <samu...@yahoo.com </mc/compose?to=samu...@yahoo.com>> > To: morphmet_modera...@morphometrics.org </mc/compose?to=morphmet_modera...@morphometrics.org> > > > > Dear all, > > I would be most grateful if you tell me how important to have > balanced > sample sizes for the t-test and ANOVA? Should the sample sizes > always be > equal? If not how big should the difference between them be? How > can I > do sample size calculaction for unbalanced t-test or ANOVA? > > Many thanks in advance, > Samuel > > > > -- > Replies will be sent to the list. > For more information visit http://www.morphometrics.org -- Replies will be sent to the list. For more information visit http://www.morphometrics.org -- Replies will be sent to the list. For more information visit http://www.morphometrics.org -- Replies will be sent to the list. For more information visit http://www.morphometrics.org