# spearman's rank correlation + finite population correction

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## spearman's rank correlation + finite population correction

 Dear SPSS community, What is an SPSS solution to doing the following? 1. Run spearman's rank correlations for ordinal variables2. Adjust the sample for a) finite population correction (FPC), and b) weighting the sample (in my case: to reshape the data so that it reflects the distribution of Any pointers appreciated!Thank you so much!Shirin-- Shirin NuessleinResearch Assistant - Health, Environment and Indigenous Communities Research GroupAdministrative Coordinator - Nasivvik Centre for Inuit Health and Changing EnvironmentsMaster's Student - Sustainability Studies Program at Trent UniversityWeb: www.nasivvik.ca & www.heicresearch.comTrent University - Indigenous Studies Department1600 West Bank Drive - Peterborough, ON, K9J 7B8Phone: 705-748-1011 ext 7242Email: [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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## Re: spearman's rank correlation + finite population correction

 Do you really have a problem that justifies using the FPC, or are you looking at what seems to be a magical way of getting a test that looks significant? I think I have seen one problem /deserving/ FPC in 25 years of answering questions, so I am curious if you can show me a second one. IIRC - The Spearman rank coefficient is exactly the Pearson when r is computed on the (properly) ranked scores:  List all N cases, including ties, with ranks 1 to N; re-assign each case with the average rank for all its ties.  RANK offers that. Then you can apply weights and get a weighted r. Using the rank-transform is not as desirable as using transforms that create and preserve "equal intervals" - so I tend to be hostile to facile use of rank-transforms. The FPC is for testing and is very seldom appropriate in real life except for deciding when a close election can be "called" by the TV networks. I once saw an artificial example suggested in wildlife management where the FPC could be useful in research.  I forget what the "real" example was that came up in one of the internet groups. I don't remember any SPSS procedure that incorporates FPC, so I expect you would have to compute it yourself from the F-test table for the R-squared, for instance, if you compute the r by using multiple regression.  It is probably a good thing that SPSS does not provide it, because that must vastly limit the number of people who otherwise would mis-apply it.  For the same reason, I will not spell out more precisely how to compute it -- to save myself from blame for misuse. I worry that I may have already said too much. -- Rich Ulrich From: SPSSX(r) Discussion <[hidden email]> on behalf of Shirin Nuesslein <[hidden email]> Sent: Wednesday, October 21, 2020 10:28 PM To: [hidden email] <[hidden email]> Subject: spearman's rank correlation + finite population correction   Dear SPSS community,  What is an SPSS solution to doing the following?  1. Run spearman's rank correlations for ordinal variables 2. Adjust the sample for  a) finite population correction (FPC), and  b) weighting the sample (in my case: to reshape the data so that it reflects the distribution of  Any pointers appreciated! Thank you so much! Shirin -- Shirin Nuesslein Research Assistant - Health, Environment and Indigenous Communities Research Group Administrative Coordinator - Nasivvik Centre for Inuit Health and Changing Environments Master's Student - Sustainability Studies Program at Trent University Web: www.nasivvik.ca & www.heicresearch.com Trent University - Indigenous Studies Department 1600 West Bank Drive - Peterborough, ON, K9J 7B8 Phone: 705-748-1011 ext 7242 Email: [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 ===================== 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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## Re: spearman's rank correlation + finite population correction

 In reply to this post by Shirin Nuesslein Do you have actual ranks, i.e., just about as many values as there are cases? If not what is the response scale? What is the population you want to generalize to? How many cases are there in the population? How many cases in your data? Were the cases selected by a scientific sampling process? ----- Art Kendall Social Research Consultants -- Sent from: http://spssx-discussion.1045642.n5.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 Art Kendall Social Research Consultants
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## Re: spearman's rank correlation + finite population correction

 Did you receive the data as ranks or did you rank it? ----- Art Kendall Social Research Consultants -- Sent from: http://spssx-discussion.1045642.n5.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 Art Kendall Social Research Consultants
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## Re: spearman's rank correlation + finite population correction

 Thank you both for the responses! Lots of food for thought. Perhaps I can offer some context to my study:1. My data is ordinal (not ranked), and according to my textbook it should be appropriate to use the Spearman's Rank Correlation for ordinal data. I am now questioning whether it's appropriate and whether a Biseral Correlation (one dichotomous, one interval variable) is better. I just learned about this test. Would you have any advice on which of the Biseral Correlation types would be a better fit for my data?Some of my variables of interest are: personal income (<\$20,000, \$21-40,000, \$41-60,000, \$61,000 plus)education status (no formal schooling, less than secondary school completed, secondary school completed, more than secondary school)– across food security levels (food secure, food insecure)2. Regarding the Finite Population Correction, I am working with a small dataset (n=138). However, the sample is small because the total population of interest is also small (N=294). I am working in a small remote community context and I know the exact number of the group of people of interest. I thought the FPC would be appropriate in this context to adjust for error. I have a small sample yet technically I sampled 47% of the population, which is a decent size. From your experience with FPC, what other things do I need to consider to decide whether it is appropriate to apply it? Any pointers or resources appreciated!Warmly,ShirinOn Thu, Oct 22, 2020 at 9:27 AM Art Kendall <[hidden email]> wrote:Did you receive the data as ranks or did you rank it? ----- Art Kendall Social Research Consultants -- Sent from: http://spssx-discussion.1045642.n5.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 -- Shirin NuessleinResearch Assistant - Health, Environment and Indigenous Communities Research GroupAdministrative Coordinator - Nasivvik Centre for Inuit Health and Changing EnvironmentsMaster's Student - Sustainability Studies Program at Trent UniversityWeb: www.nasivvik.ca & www.heicresearch.comTrent University - Indigenous Studies Department1600 West Bank Drive - Peterborough, ON, K9J 7B8Phone: 705-748-1011 ext 7242Email: [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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