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does anyone here know how to compute hypothesis tests/confidence intervals for the difference between two means in SPSS? For example, I am comparing the volume growth of my certificates with balance less than $1000 versus the volume growth with balances greater than $1000. I want to see if the difference in the two means is statistically significant. Any ideas? I don't think comparing means does it because it has something about grouping and factors. thanks!
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Comparing means does it either via the usual analysis of variance or an
independent samples t-test. The group variable or factor is a variable with 2 categories corresponding to your balance split. However, when you do this you lose a lot of information. Unless you have a reason to suspect that $1000 is the magic threshold here, why not just look at the correlation of growth and balance. Also, while you're at it, scatterplot growth and balance to see if there is any observable relationship between the two. -----Original Message----- From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of jimjohn Sent: Friday, May 08, 2009 2:32 PM To: [hidden email] Subject: hypothesis testing for difference between two means does anyone here know how to compute hypothesis tests/confidence intervals for the difference between two means in SPSS? For example, I am comparing the volume growth of my certificates with balance less than $1000 versus the volume growth with balances greater than $1000. I want to see if the difference in the two means is statistically significant. Any ideas? I don't think comparing means does it because it has something about grouping and factors. thanks! -- View this message in context: http://www.nabble.com/hypothesis-testing-for-difference-between-two-means-tp 23452014p23452014.html Sent from the SPSSX Discussion mailing list archive at Nabble.com. ===================== 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 jimjohn
At 10:32 AM 5/8/2009, jimjohn wrote:
>does anyone here know how to compute hypothesis tests/confidence intervals >for the difference between two means in SPSS? For example, I am comparing >the volume growth of my certificates with balance less than $1000 versus the >volume growth with balances greater than $1000. I want to see if the >difference in the two means is statistically significant. Any ideas? I don't >think comparing means does it because it has something about grouping and >factors. thanks! >-- I understood your question a little differently from Viann. I agree with her that comparing mean balances would not make sense. But I understand that you want to compare "mean volume growth," whatever that is. So you use your Balance variable as your grouping variable, and test the difference in mean volume growth. Do I understand that correctly? Bob Schacht Robert M. Schacht, Ph.D. <[hidden email]> Pacific Basin Rehabilitation Research & Training Center 1268 Young Street, Suite #204 Research Center, University of Hawaii Honolulu, HI 96814 ===================== 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 jimjohn
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In reply to this post by Bob Schacht-3
At 10:32 AM 5/8/2009, jimjohn wrote:IF I understand your question correctly, "balances" is not categorical, but quantitative too. the t test can be used, without having to dichotomize balances. See this example, using the General Survey data that comes with SPSS. Suppose we want to compare number of children between those who have less than 12 years of education vs those who have 12 or more years. Instead of defining two groups, just use the cut-off: GET FILE='U.S. General Social Survey.sav'. T-TEST GROUPS = educ(12) /VARIABLES = childs. Anyway, I also agree with ViAnn: you are throwing away a lot ofinformation. See "Altman DG, Royston P. (2006) The cost of dichotomising continuous variables. 332, 1080. " HTH, Marta -- For miscellaneous SPSS related statistical stuff, visit: http://gjyp.nl/marta/===================== 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 Johnny Amora
Thanks for all the responses guys. Johnny, I appreciate you explaining how the grouping variable works. Just one follow up question, I understand if I go to Compare Means -> Independent Test, then this will conduct a t-test to compare means. My sample size is about 36, I believe if the sample size is >30, a z test should be used. Any ideas if SPSS can do a Z-test too to compare means?
To the posters who posted before, thanks for the suggestions. I would normally do exactly what you guys recommended, but the circumstances are different here. Someone else has already performed an analysis claiming that there is a difference between the two means, that the <$1000 certificate customers are more sensitive to interest rate changes than the >$1000 certificate customers. Since this is not an intuitive conclusion, I wanted to run this test to see if the results are significant.
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jimjohn wrote:
> Thanks for all the responses guys. Johnny, I appreciate you explaining how > the grouping variable works. Just one follow up question, I understand if I > go to Compare Means -> Independent Test, then this will conduct a t-test to > compare means. My sample size is about 36, I believe if the sample size is > > 30, a z test should be used. Wrong: If sample size is >30, then a t test could (not should, notice the difference) be replaced by a Z test. This is old statistical thinking, from times when calculations were performed by hand, and tricks to simplify them were common. The logic behind is that as sample size increases, the t distribution tends asymptotically to a Z distribution, therefore the error in the p-value is small under that condition (big sample size). Today, since the hrd/boring job is done by software, it is better to use a two samples t test and get the correct p-value, not an estimation with low error. > Any ideas if SPSS can do a Z-test too to compare means? > Chapter 5 of Statistics at Square One (available online at: http://bmj.bmjjournals.com/collections/statsbk/5.dtl ) describes the method. My syntax file for the book, available at http://gjyp.nl/marta/BMJ%20-%20Stats%20Square%20One.SPS , gives MATRIX code get it, but, as I told you before, don't use it. Marta -- For miscellaneous SPSS related statistical stuff, visit: http://gjyp.nl/marta/ ===================== 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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