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Hi,
I am analyzing data concerning the differences in strength between people with and without difficulties preforming certain tasks. A correlation coefficients from the entire group were high and significant. Now I wanted to see the correlations between strength and performance within each group i.e. the able and unable and I found that the correlation is higher within the unable group. Is there a way for me to show that the difference in r is statistically significant (or not)? Thanks Moshe Moshe Marko, PT, DPT, MHS, OCS, CSCS Assistant Professor Department of Physical Therapy Education College of Health Professions SUNY Upstate Medical University Room 2232 Silverman Hall 750 Adams Street Syracuse, NY 13210-1834 315 464 6577 FAX 315 464 6887 [hidden email] ===================== 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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Karl Wuensch has a document describing how to to this on his Statistics Lessons page: http://core.ecu.edu/psyc/wuenschk/StatsLessons.htm Scroll down to Bivariate Correlation and Regression, and look at the document called "Comparing correlation coefficients, slopes & intercepts".
--
Bruce Weaver bweaver@lakeheadu.ca http://sites.google.com/a/lakeheadu.ca/bweaver/ "When all else fails, RTFM." PLEASE NOTE THE FOLLOWING: 1. My Hotmail account is not monitored regularly. To send me an e-mail, please use the address shown above. 2. The SPSSX Discussion forum on Nabble is no longer linked to the SPSSX-L listserv administered by UGA (https://listserv.uga.edu/). |
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In reply to this post by Moshe Marko
Moshe Marko wrote:
> I am analyzing data concerning the differences in strength between people > with and without difficulties preforming certain tasks. A correlation > coefficients from the entire group were high and significant. Now I wanted > to see the correlations between strength and performance within each group > i.e. the able and unable and I found that the correlation is higher within > the unable group. Is there a way for me to show that the difference in r is > statistically significant (or not)? Hi, this macro can help: * Comparison of two correlation coefficients (see: http://www-class.unl.edu/psycrs/statpage/biv_corr_eg.pdf) * Independent populations: Fisher's Z test *. DEFINE TWOCORRS (r1=!TOKENS(1)/n1=!TOKENS(1)/r2=!TOKENS(1)/n2=!TOKENS(1)). MATRIX. PRINT /TITLE='COMPARING TWO INDEPENDENT CORRELATION COEFFICIENTS'. COMPUTE r1=!r1. COMPUTE n1=!n1. COMPUTE r2=!r2. COMPUTE n2=!n2. PRINT {r1,r2} /FORMAT='F8.2' /CLABELS='R1' 'R2' /TITLE='Correlation values being compared:'. PRINT {n1,n2} /FORMAT='F8.0' /CLABELS='N1','N2' /TITLE='Sample sizes:'. COMPUTE zr1=.5*(LN((1+r1)/(1-r1))). COMPUTE varzr1=1/(n1-3). COMPUTE zr2=.5*(LN((1+r2)/(1-r2))). COMPUTE varzr2=1/(n2-3). COMPUTE z=ABS(zr1-zr2)/SQRT(varzr1+varzr2). COMPUTE z_sig=2*(1-CDFNORM(z)). PRINT {z,z_sig,(z_sig/2)} /FORMAT='F8.3' /CLABELS='Z' '2-tails' '1-tail' /TITLE='Z value and significance (2-tailed & 1-tailed)'. END MATRIX. !ENDDEFINE. TWOCORRS r1=0.397 n1=76 r2=0.819 n2=64. Best regards, Marta GG -- 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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