Hello all,
I have run 2 mediation models, one for males and one for females. Using Sobel's mediation test (with very large samples) I found a significant mediation path for both sexes. I'm interesting in comparing the two, i.e. the Sobel's Z for females is 13 and for males 21. I'd like to know whether these are significantly different. Is there a way to do this? Thanks, Nomi Werbeloff, PhD ===================== 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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The forumula for Sobel's z is shown on this page:
http://quantpsy.org/sobel/sobel.htm The denominator of that expression is the SE for the z-test. Square it (i.e., remove the SQRT sign) to get a variance. Add together the two variances (i.e., for males and females) and take the square root of that sum to get the SE of the difference. Then run another z-test as follows: z = (a_m*b_m - a_f*b_f) / SE_diff where the _m and _f indicate for males and females respectively. The general principle is that the variance of a difference = the sum of the variances (when you have two independent samples). HTH.
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Sometimes I have done this meta-analytically, by converting Z to an estimate of effect-size (r), and comparing the two correlation coefficients. Off the top of my head, I'm not sure how the two techniques will differ in their sensitivity or control of Type I error.
HTH, Alex Shackman
On Thu, Sep 6, 2012 at 9:34 AM, Bruce Weaver <[hidden email]> wrote: The forumula for Sobel's z is shown on this page: Alexander J. Shackman, Ph.D. HealthEmotions Research Institute | Lane Neuroimaging Laboratory Wisconsin Psychiatric Institute & Clinics University of Wisconsin-Madison 6001 Research Park Boulevard Madison, Wisconsin 53719 Telephone: +1 (608) 358-5025 Fax: +1 (608) 265-2875 Email: [hidden email] http://psyphz.psych.wisc.edu/~shackman |
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Hi Alex. Do you mean that you compare them via the test of heterogeneity (Q) typically used by meta-analysts? Q is distributed (approximately) as chi-square, so when you compare only two estimates via Q, the square root of Q = z. But your conversion of z to r might change things.
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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/). |
In reply to this post by Bruce Weaver
Bruce - thanks for your reply. It was very helpful.
One followup question: is there any reference I can cite when using this method in a manuscript? Thanks, Nomi |
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Hi Nomi. You should be able to find this in any of a number of intermediate to advanced level stats texts. E.g., here are two that I've just pulled off my shelf:
Howell, D.C. (2007). Statistical Methods for Psychology (6th Ed.). -- see "variance sum law" on p. 193 Glass, G.V. & Hopkins, K.D. (1996). Statistical Methods in Education and Psychology (3rd Ed.). -- see "The Variance of a Difference" on p. 129. G&H show the general formula where Var(Diff12) = Var1 + Var2 - 2*COV12. But when you have two independent samples, COV12 = 0. HTH.
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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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