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Dear all,
in pre-test post-test studies where only one group in involved for comparing the means before and after treatment "paired samples t-test" is required. is that right? i was just wondering how can independent samples t-test in such a situation change the results. I mean is it possible to find a mean difference significant with a pairde t-test and insinificant with an independent t-test? cheers Humphrey ====================To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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I think the answer is yes, it is possible for the same mean difference to be significant for a paired-samples test but not significant for an independent samples test.
set seed 123456789. input program. loop #i=1 to 100. *post is close to pre, but always greater. compute pre=rv.normal(50,10). compute post=pre+rv.normal(.5,.1). end case. end loop. end file. end input program. T-TEST PAIRS=pre WITH post (PAIRED). *now restructure for independent samples test. VARSTOCASES /ID=id /MAKE score FROM pre post /INDEX=group(2). value labels group 1 'pre' 2 'post'. T-TEST GROUPS=group(1 2) /VARIABLES=score. -----Original Message----- From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Humphrey Paulie Sent: Tuesday, September 09, 2008 2:34 PM To: [hidden email] Subject: paired vs independent samples t-test Dear all, in pre-test post-test studies where only one group in involved for comparing the means before and after treatment "paired samples t-test" is required. is that right? i was just wondering how can independent samples t-test in such a situation change the results. I mean is it possible to find a mean difference significant with a pairde t-test and insinificant with an independent t-test? cheers Humphrey ======= To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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In reply to this post by Humphrey Paulie
No, the paired t-test will always be as or more significant. If the correlation between the pre- and the post-test is exactly r = 0.000, then the two tests will be equal. If the r = 1.000, then the difference scores between the pre- and the post-test will all be identical, meaning that the SD of the difference scores will be zero. In this case, all differences will be infinitely significant.
Joe Burleson -----Original Message----- From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Humphrey Paulie Sent: Tuesday, September 09, 2008 3:34 PM To: [hidden email] Subject: paired vs independent samples t-test Dear all, in pre-test post-test studies where only one group in involved for comparing the means before and after treatment "paired samples t-test" is required. is that right? i was just wondering how can independent samples t-test in such a situation change the results. I mean is it possible to find a mean difference significant with a pairde t-test and insinificant with an independent t-test? cheers Humphrey ======= To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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