

Dear Friend,
Is there anyway, using SPSS, to generate Confidence Intervals for the
MannWhitney U test?
Thank you.
Stephen Salbod, Pace University, NYC

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If you have the Exact Tests option, you can use the legacy procedure to get a CI for MannWhitney with syntax like this, which uses a Monte Carlo method. This is supported in the Legacy dialog box.
NPAR TESTS /MW= educ BY minority(0 1) /METHOD= MC CIN(95) SAMPLES(10000).
Without Exact Tests, you can use the asymptotic standard error and appeal to asymptotic normality.
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Dear Jon,
Thank you for the quick solution. Steve
Sent from my iPad
If you have the Exact Tests option, you can use the legacy procedure to get a CI for MannWhitney with syntax like this, which uses a Monte Carlo method. This is supported in the Legacy dialog box.
NPAR TESTS
/MW= educ BY minority(0 1)
/METHOD= MC CIN(95) SAMPLES(10000).
Without Exact Tests, you can use the asymptotic standard error and appeal to asymptotic normality.
=====================
To manage your subscription to SPSSXL, send a message to
[hidden email] (not to SPSSXL), with no body text except the
command. To leave the list, send the command
SIGNOFF SPSSXL
For a list of commands to manage subscriptions, send the command
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Administrator

I've pasted code for an example below. What Jon has suggested gives a CI for
the pvalue. Is that what you were asking for Stephen?
* Example from
https://www.statsdirect.co.uk/help/nonparametric_methods/mann_whitney.htm.
NEW FILE.
DATASET CLOSE ALL.
DATA LIST LIST / Farm(F1) Score(F5.1).
BEGIN DATA
1 14.8
1 7.3
1 5.6
1 6.3
1 9.0
1 4.2
1 10.6
1 12.5
1 12.9
1 16.1
1 11.4
1 2.7
0 12.7
0 14.2
0 12.6
0 2.1
0 17.7
0 11.8
0 16.9
0 7.9
0 16.0
0 10.6
0 5.6
0 5.6
0 7.6
0 11.3
0 8.3
0 6.7
0 3.6
0 1.0
0 2.4
0 6.4
0 9.1
0 6.7
0 18.6
0 3.2
0 6.2
0 6.1
0 15.3
0 10.6
0 1.8
0 5.9
0 9.9
0 10.6
0 14.8
0 5.0
0 2.6
0 4.0
END DATA.
NPAR TESTS
/MW= Score BY Farm(0 1)
/METHOD= MC CIN(95) SAMPLES(10000).
From the output table:
MannWhitney U: 189.000
Wilcoxon W: 855.000
z = .643, p = .520
Monte Carlo twotailed p = .513, 95% CI .503 to .523
Monte Carlo onetailed p = .253, 95% CI .245 to .262
Jon Peck wrote
> If you have the Exact Tests option, you can use the legacy procedure to
> get
> a CI for MannWhitney with syntax like this, which uses a Monte Carlo
> method. This is supported in the Legacy dialog box.
>
> NPAR TESTS
> /MW= educ BY minority(0 1)
> /METHOD= MC CIN(95) SAMPLES(10000).
>
> Without Exact Tests, you can use the asymptotic standard error and appeal
> to asymptotic normality.
>
>
>
> On Thu, Apr 12, 2018 at 6:31 PM, Salbod <
> ssalbod@
> > wrote:
>
>> Dear Friend,
>>
>> Is there anyway, using SPSS, to generate Confidence Intervals for the
>> MannWhitney U test?
>>
>> Thank you.
>>
>> Stephen Salbod, Pace University, NYC
>>
>>
>>
>>
>>
>> 
>> Sent from: http://spssxdiscussion.1045642.n5.nabble.com/>>
>> =====================
>> To manage your subscription to SPSSXL, send a message to
>>
> LISTSERV@.UGA
> (not to SPSSXL), with no body text except the
>> command. To leave the list, send the command
>> SIGNOFF SPSSXL
>> For a list of commands to manage subscriptions, send the command
>> INFO REFCARD
>>
>
>
>
> 
> Jon K Peck
> jkpeck@
>
> =====================
> To manage your subscription to SPSSXL, send a message to
> LISTSERV@.UGA
> (not to SPSSXL), with no body text except the
> command. To leave the list, send the command
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Bruce Weaver
[hidden email]
http://sites.google.com/a/lakeheadu.ca/bweaver/"When all else fails, RTFM."
NOTE: My Hotmail account is not monitored regularly.
To send me an email, please use the address shown above.

Sent from: http://spssxdiscussion.1045642.n5.nabble.com/=====================
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If you want the actual confidence interval of the median, and not for the pvalue, you can use Analyze>Descriptives>Ratio. Using Bruce's data compute a third variable, e.g., denom, to use as the denominator for
the ratio test. Use compute denom=1 . Then either run the analysis from the GUI or the syntax below.
RATIO STATISTICS Score WITH denom BY Farm (ASCENDING)
/MISSING=EXCLUDE
/PRINT=CIN(95) COD MDCOV MEAN MEDIAN PRD.
You'll get medians and confidence intervals for both groups and for the overall score. Because it's based on ranks, you'll need to round to the closest rank to get the 95% CI, or in the case of medians the approximate 95% CI.
Brian
I've pasted code for an example below. What Jon has suggested gives a CI for
the pvalue. Is that what you were asking for Stephen?
* Example from
https://www.statsdirect.co.uk/help/nonparametric_methods/mann_whitney.htm.
NEW FILE.
DATASET CLOSE ALL.
DATA LIST LIST / Farm(F1) Score(F5.1).
BEGIN DATA
1 14.8
1 7.3
1 5.6
1 6.3
1 9.0
1 4.2
1 10.6
1 12.5
1 12.9
1 16.1
1 11.4
1 2.7
0 12.7
0 14.2
0 12.6
0 2.1
0 17.7
0 11.8
0 16.9
0 7.9
0 16.0
0 10.6
0 5.6
0 5.6
0 7.6
0 11.3
0 8.3
0 6.7
0 3.6
0 1.0
0 2.4
0 6.4
0 9.1
0 6.7
0 18.6
0 3.2
0 6.2
0 6.1
0 15.3
0 10.6
0 1.8
0 5.9
0 9.9
0 10.6
0 14.8
0 5.0
0 2.6
0 4.0
END DATA.
NPAR TESTS
/MW= Score BY Farm(0 1)
/METHOD= MC CIN(95) SAMPLES(10000).
From the output table:
MannWhitney U: 189.000
Wilcoxon W: 855.000
z = .643, p = .520
Monte Carlo twotailed p = .513, 95% CI .503 to .523
Monte Carlo onetailed p = .253, 95% CI .245 to .262
Jon Peck wrote
> If you have the Exact Tests option, you can use the legacy procedure to
> get
> a CI for MannWhitney with syntax like this, which uses a Monte Carlo
> method. This is supported in the Legacy dialog box.
>
> NPAR TESTS
> /MW= educ BY minority(0 1)
> /METHOD= MC CIN(95) SAMPLES(10000).
>
> Without Exact Tests, you can use the asymptotic standard error and appeal
> to asymptotic normality.
>
>
>
> On Thu, Apr 12, 2018 at 6:31 PM, Salbod <
> ssalbod@
> > wrote:
>
>> Dear Friend,
>>
>> Is there anyway, using SPSS, to generate Confidence Intervals for the
>> MannWhitney U test?
>>
>> Thank you.
>>
>> Stephen Salbod, Pace University, NYC
>>
>>
>>
>>
>>
>> 
>> Sent from: http://spssxdiscussion.1045642.n5.nabble.com/
>>
>> =====================
>> To manage your subscription to SPSSXL, send a message to
>>
> LISTSERV@.UGA
> (not to SPSSXL), with no body text except the
>> command. To leave the list, send the command
>> SIGNOFF SPSSXL
>> For a list of commands to manage subscriptions, send the command
>> INFO REFCARD
>>
>
>
>
> 
> Jon K Peck
> jkpeck@
>
> =====================
> To manage your subscription to SPSSXL, send a message to
> LISTSERV@.UGA
> (not to SPSSXL), with no body text except the
> command. To leave the list, send the command
> SIGNOFF SPSSXL
> For a list of commands to manage subscriptions, send the command
> INFO REFCARD


Bruce Weaver
[hidden email]
http://sites.google.com/a/lakeheadu.ca/bweaver/
"When all else fails, RTFM."
NOTE: My Hotmail account is not monitored regularly.
To send me an email, please use the address shown above.

Sent from: http://spssxdiscussion.1045642.n5.nabble.com/
=====================
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Greetings:
You can also use R to easily obtain the desired statistics:
install.packages("coin")
library(coin)
# Load the coin package.
help(package=coin)
# Show the information page.
sessionInfo()
# Confirm all attached packages.
# Select the most local mirror site using Set
CRAN mirror.
coin::wilcox_test(Judgment
~ Treatment.recode,
data = Goats.df,
distribution = "exact", conf.int = TRUE)
# Note the use of ~ between the two object variables
Look at
https://www.springer.com/us/book/9783319306339 and more specifically the chapter on MannWhitney for more detail if the above syntax is not sufficient.
BTW, the
Goats.df dataset is available as a free download.
Just click on ESM
files
and then select Chapter 4 when the file(s) open.
Best wishes.
Tom MacFarland

Thomas W. MacFarland, Ed.D.
Senior Research Associate; Institutional Effectiveness and Associate Professor
Nova Southeastern University
Voice 9542625395
[hidden email]
From: SPSSX(r)
Discussion <[hidden email]> On Behalf Of Dates, Brian
Sent: Friday, April 13, 2018 11:05 AM
To: [hidden email]
Subject: Re: MannWhitney U question
If you want the actual confidence interval of the median, and not for the pvalue, you can use Analyze>Descriptives>Ratio. Using Bruce's data compute a third variable, e.g., denom, to use as the
denominator for the ratio test. Use compute denom=1 . Then either run the analysis from the GUI or the syntax below.
RATIO STATISTICS Score WITH denom BY Farm (ASCENDING)
/MISSING=EXCLUDE
/PRINT=CIN(95) COD MDCOV MEAN MEDIAN PRD.
You'll get medians and confidence intervals for both groups and for the overall score. Because it's based on ranks, you'll need to round to the closest rank to get the 95% CI, or in the case of medians
the approximate 95% CI.
Brian
I've pasted code for an example below. What Jon has suggested gives a CI for
the pvalue. Is that what you were asking for Stephen?
* Example from
https://www.statsdirect.co.uk/help/nonparametric_methods/mann_whitney.htm.
NEW FILE.
DATASET CLOSE ALL.
DATA LIST LIST / Farm(F1) Score(F5.1).
BEGIN DATA
1 14.8
1 7.3
1 5.6
1 6.3
1 9.0
1 4.2
1 10.6
1 12.5
1 12.9
1 16.1
1 11.4
1 2.7
0 12.7
0 14.2
0 12.6
0 2.1
0 17.7
0 11.8
0 16.9
0 7.9
0 16.0
0 10.6
0 5.6
0 5.6
0 7.6
0 11.3
0 8.3
0 6.7
0 3.6
0 1.0
0 2.4
0 6.4
0 9.1
0 6.7
0 18.6
0 3.2
0 6.2
0 6.1
0 15.3
0 10.6
0 1.8
0 5.9
0 9.9
0 10.6
0 14.8
0 5.0
0 2.6
0 4.0
END DATA.
NPAR TESTS
/MW= Score BY Farm(0 1)
/METHOD= MC CIN(95) SAMPLES(10000).
From the output table:
MannWhitney U: 189.000
Wilcoxon W: 855.000
z = .643, p = .520
Monte Carlo twotailed p = .513, 95% CI .503 to .523
Monte Carlo onetailed p = .253, 95% CI .245 to .262
Jon Peck wrote
> If you have the Exact Tests option, you can use the legacy procedure to
> get
> a CI for MannWhitney with syntax like this, which uses a Monte Carlo
> method. This is supported in the Legacy dialog box.
>
> NPAR TESTS
> /MW= educ BY minority(0 1)
> /METHOD= MC CIN(95) SAMPLES(10000).
>
> Without Exact Tests, you can use the asymptotic standard error and appeal
> to asymptotic normality.
>
>
>
> On Thu, Apr 12, 2018 at 6:31 PM, Salbod <
> ssalbod@
> > wrote:
>
>> Dear Friend,
>>
>> Is there anyway, using SPSS, to generate Confidence Intervals for the
>> MannWhitney U test?
>>
>> Thank you.
>>
>> Stephen Salbod, Pace University, NYC
>>
>>
>>
>>
>>
>> 
>> Sent from:
http://spssxdiscussion.1045642.n5.nabble.com/
>>
>> =====================
>> To manage your subscription to SPSSXL, send a message to
>>
> [hidden email]
> (not to SPSSXL), with no body text except the
>> command. To leave the list, send the command
>> SIGNOFF SPSSXL
>> For a list of commands to manage subscriptions, send the command
>> INFO REFCARD
>>
>
>
>
> 
> Jon K Peck
> jkpeck@
>
> =====================
> To manage your subscription to SPSSXL, send a message to
> [hidden email]
> (not to SPSSXL), with no body text except the
> command. To leave the list, send the command
> SIGNOFF SPSSXL
> For a list of commands to manage subscriptions, send the command
> INFO REFCARD


Bruce Weaver
[hidden email]
http://sites.google.com/a/lakeheadu.ca/bweaver/
"When all else fails, RTFM."
NOTE: My Hotmail account is not monitored regularly.
To send me an email, please use the address shown above.

Sent from:
http://spssxdiscussion.1045642.n5.nabble.com/
=====================
To manage your subscription to SPSSXL, send a message to
[hidden email] (not to SPSSXL), with no body text except the
command. To leave the list, send the command
SIGNOFF SPSSXL
For a list of commands to manage subscriptions, send the command
INFO REFCARD
===================== To manage your subscription to SPSSXL, send a message to
[hidden email] (not to SPSSXL), with no body text except the command. To leave the list, send the command SIGNOFF SPSSXL For a list of commands to manage subscriptions, send the command INFO REFCARD
=====================
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Probably, the ci I pointed out is not what you want as it pertains to the Monte Carlo distribution. If you use the R approach, here is a gentler way to do this in Statistics.
First, install the coin package (one time). This will prompt you for a location. Choose some US location from the list that appears.
begin program r. install.packages("coin") end program.
To run the test and get a ci for the shift in the distributions, first make sure that the group variable measurement level is set to nominal or ordinal. Then run this code (using Bruce's data).
begin program r. library(coin) data= spssdata.GetDataFromSPSS(factorMode="levels") wilcox_test(Score~Farm, data=data, conf.int=TRUE, distribution="exact") end program.
=====================
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Administrator

I wondered if Stephen was thinking about a CI for the parameter that Ronán
Conroy describes in his Stata Journal article on the MannWhitney U
testi.e., the probability that a randomly drawn X is greater than a
randomly drawn Y. Stata's ranksum command has an option (porder) to
estimate that parameter, but does not report a CI for it. I am not aware of
any direct & easy way to compute that parameter or a CI for it using SPSS.
https://www.statajournal.com/sjpdf.html?articlenum=st0253Jon Peck wrote
> Probably, the ci I pointed out is not what you want as it pertains to the
> Monte Carlo distribution. If you use the R approach, here is a gentler
> way to do this in Statistics.
>
> First, install the coin package (one time). This will prompt you for a
> location. Choose some US location from the list that appears.
>
> begin program r.
> install.packages("coin")
> end program.
>
> To run the test and get a ci for the shift in the distributions, first
> make
> sure that the group variable measurement level is set to nominal or
> ordinal. Then run this code (using Bruce's data).
>
> begin program r.
> library(coin)
> data= spssdata.GetDataFromSPSS(factorMode="levels")
> wilcox_test(Score~Farm, data=data, conf.int=TRUE, distribution="exact")
> end program.
>
>
> On Fri, Apr 13, 2018 at 9:21 AM, Thomas MacFarland <
> tommac@
> > wrote:
>
>> Greetings:
>>
>>
>>
>> You can also use R to easily obtain the desired statistics:
>>
>>
>>
>> *install.packages**("coin")*
>>
>> *library(coin) # Load the coin package.*
>>
>> *help(package=coin) # Show the information page.*
>>
>> *sessionInfo**() # Confirm all attached packages.*
>>
>> *# Select the most local mirror site using Set CRAN mirror.*
>>
>>
>>
>> *coin::wilcox_test(Judgment ~ Treatment.recode,*
>>
>> * data = Goats.df,*
>>
>> * distribution = "exact", conf.int < http://conf.int> = TRUE)*
>>
>> * # Note the use of ~ between the two object variables*
>>
>>
>>
>> Look at https://www.springer.com/us/book/9783319306339 and more
>> specifically the chapter on MannWhitney for more detail if the above
>> syntax is not sufficient.
>>
>>
>>
>> BTW, the Goats.df dataset is available as a free download. Just click on
>> *ESM
>> files
>> < http://www.springer.com/cda/content/document/cda_downloaddocument/MacFarland.zip?SGWID=00451578079p179875955>*>> and
>> then select Chapter 4 when the file(s) open.
>>
>>
>>
>> Best wishes.
>>
>>
>>
>> Tom MacFarland
>>
>> 
>>
>> Thomas W. MacFarland, Ed.D.
>>
>> Senior Research Associate; Institutional Effectiveness and Associate
>> Professor
>>
>> Nova Southeastern University
>>
>> Voice 9542625395
> tommac@
>>
>>
>>
>> *From:* SPSSX(r) Discussion <
> SPSSXL@.UGA
> > *On Behalf Of *Dates,
>> Brian
>> *Sent:* Friday, April 13, 2018 11:05 AM
>>
>> *To:*
> SPSSXL@.UGA
>> *Subject:* Re: MannWhitney U question
>>
>>
>>
>> If you want the actual confidence interval of the median, and not for the
>> pvalue, you can use Analyze>Descriptives>Ratio. Using Bruce's data
>> compute
>> a third variable, e.g., denom, to use as the denominator for the ratio
>> test. Use compute denom=1 . Then either run the analysis from the GUI or
>> the syntax below.
>>
>>
>>
>> RATIO STATISTICS Score WITH denom BY Farm (ASCENDING)
>> /MISSING=EXCLUDE
>> /PRINT=CIN(95) COD MDCOV MEAN MEDIAN PRD.
>>
>>
>>
>> You'll get medians and confidence intervals for both groups and for the
>> overall score. Because it's based on ranks, you'll need to round to the
>> closest rank to get the 95% CI, or in the case of medians the approximate
>> 95% CI.
>>
>>
>>
>> Brian
>> 
>>
>> *From:* SPSSX(r) Discussion <
> SPSSXL@.UGA
> > on behalf of Bruce
>> Weaver <
> bruce.weaver@
> >
>> *Sent:* Friday, April 13, 2018 10:13:14 AM
>> *To:*
> SPSSXL@.UGA
>> *Subject:* Re: MannWhitney U question
>>
>>
>>
>> I've pasted code for an example below. What Jon has suggested gives a CI
>> for
>> the pvalue. Is that what you were asking for Stephen?
>>
>>
>> * Example from
>> https://www.statsdirect.co.uk/help/nonparametric_methods/mann_whitney.htm>> < https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.statsdirect.co.uk%2Fhelp%2Fnonparametric_methods%2Fmann_whitney.htm&data=02%7C01%7Ctommac%40NOVA.EDU%7Cc2704a58bc8a4182f21308d5a14ffeb4%7C2c2b2d312e3e4df1b571fb37c042ff1b%7C0%7C1%7C636592287329755772&sdata=m4pkwBagQXjiTkGN5YbRRSCh3vNAeHMhGzvYF6QJEaA%3D&reserved=0>>> .
>> NEW FILE.
>> DATASET CLOSE ALL.
>> DATA LIST LIST / Farm(F1) Score(F5.1).
>> BEGIN DATA
>> 1 14.8
>> 1 7.3
>> 1 5.6
>> 1 6.3
>> 1 9.0
>> 1 4.2
>> 1 10.6
>> 1 12.5
>> 1 12.9
>> 1 16.1
>> 1 11.4
>> 1 2.7
>> 0 12.7
>> 0 14.2
>> 0 12.6
>> 0 2.1
>> 0 17.7
>> 0 11.8
>> 0 16.9
>> 0 7.9
>> 0 16.0
>> 0 10.6
>> 0 5.6
>> 0 5.6
>> 0 7.6
>> 0 11.3
>> 0 8.3
>> 0 6.7
>> 0 3.6
>> 0 1.0
>> 0 2.4
>> 0 6.4
>> 0 9.1
>> 0 6.7
>> 0 18.6
>> 0 3.2
>> 0 6.2
>> 0 6.1
>> 0 15.3
>> 0 10.6
>> 0 1.8
>> 0 5.9
>> 0 9.9
>> 0 10.6
>> 0 14.8
>> 0 5.0
>> 0 2.6
>> 0 4.0
>> END DATA.
>>
>> NPAR TESTS
>> /MW= Score BY Farm(0 1)
>> /METHOD= MC CIN(95) SAMPLES(10000).
>>
>> From the output table:
>>
>> MannWhitney U: 189.000
>> Wilcoxon W: 855.000
>>
>> z = .643, p = .520
>> Monte Carlo twotailed p = .513, 95% CI .503 to .523
>> Monte Carlo onetailed p = .253, 95% CI .245 to .262
>>
>>
>>
>> Jon Peck wrote
>> > If you have the Exact Tests option, you can use the legacy procedure to
>> > get
>> > a CI for MannWhitney with syntax like this, which uses a Monte Carlo
>> > method. This is supported in the Legacy dialog box.
>> >
>> > NPAR TESTS
>> > /MW= educ BY minority(0 1)
>> > /METHOD= MC CIN(95) SAMPLES(10000).
>> >
>> > Without Exact Tests, you can use the asymptotic standard error and
>> appeal
>> > to asymptotic normality.
>> >
>> >
>> >
>> > On Thu, Apr 12, 2018 at 6:31 PM, Salbod <
>>
>> > ssalbod@
>>
>> > > wrote:
>> >
>> >> Dear Friend,
>> >>
>> >> Is there anyway, using SPSS, to generate Confidence Intervals for the
>> >> MannWhitney U test?
>> >>
>> >> Thank you.
>> >>
>> >> Stephen Salbod, Pace University, NYC
>> >>
>> >>
>> >>
>> >>
>> >>
>> >> 
>> >> Sent from: http://spssxdiscussion.1045642.n5.nabble.com/>> < https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fspssxdiscussion.1045642.n5.nabble.com%2F&data=02%7C01%7Ctommac%40NOVA.EDU%7Cc2704a58bc8a4182f21308d5a14ffeb4%7C2c2b2d312e3e4df1b571fb37c042ff1b%7C0%7C1%7C636592287329755772&sdata=x4oI%2B%2BOnsFDbdnWKyU2RuPVzvH9GrH6SVCU9fW7uxZ4%3D&reserved=0>>> >>
>> >> =====================
>> >> To manage your subscription to SPSSXL, send a message to
>> >>
>>
>> > LISTSERV@.UGA
>>
>> > (not to SPSSXL), with no body text except the
>> >> command. To leave the list, send the command
>> >> SIGNOFF SPSSXL
>> >> For a list of commands to manage subscriptions, send the command
>> >> INFO REFCARD
>> >>
>> >
>> >
>> >
>> > 
>> > Jon K Peck
>>
>> > jkpeck@
>>
>> >
>> > =====================
>> > To manage your subscription to SPSSXL, send a message to
>>
>> > LISTSERV@.UGA
>>
>> > (not to SPSSXL), with no body text except the
>> > command. To leave the list, send the command
>> > SIGNOFF SPSSXL
>> > For a list of commands to manage subscriptions, send the command
>> > INFO REFCARD
>>
>>
>>
>>
>>
>> 
>> 
>> Bruce Weaver
>>
> bweaver@
> LISTSERV@.UGA
> (not to SPSSXL), with no body text except the
>> command. To leave the list, send the command
>> SIGNOFF SPSSXL
>> For a list of commands to manage subscriptions, send the command
>> INFO REFCARD
>>
>> ===================== To manage your subscription to SPSSXL, send a
>> message to
> LISTSERV@.UGA
> (not to SPSSXL), with no body text
>> except the command. To leave the list, send the command SIGNOFF SPSSXL
>> For
>> a list of commands to manage subscriptions, send the command INFO REFCARD
>> ===================== To manage your subscription to SPSSXL, send a
>> message to
> LISTSERV@.UGA
> (not to SPSSXL), with no body text
>> except the command. To leave the list, send the command SIGNOFF SPSSXL
>> For
>> a list of commands to manage subscriptions, send the command INFO REFCARD
>>
>
>
>
> 
> Jon K Peck
> jkpeck@
>
> =====================
> To manage your subscription to SPSSXL, send a message to
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Bruce Weaver
[hidden email]
http://sites.google.com/a/lakeheadu.ca/bweaver/"When all else fails, RTFM."
NOTE: My Hotmail account is not monitored regularly.
To send me an email, please use the address shown above.

Sent from: http://spssxdiscussion.1045642.n5.nabble.com/=====================
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Hi Bruce, now I'm thinking about it. Thank you for the link. Steve
Original Message
From: SPSSX(r) Discussion < [hidden email]> On Behalf Of Bruce Weaver
Sent: Friday, April 13, 2018 6:09 PM
To: [hidden email]
Subject: Re: MannWhitney U question
I wondered if Stephen was thinking about a CI for the parameter that Ronán Conroy describes in his Stata Journal article on the MannWhitney U testi.e., the probability that a randomly drawn X is greater than a randomly drawn Y. Stata's ranksum command has an option (porder) to estimate that parameter, but does not report a CI for it. I am not aware of any direct & easy way to compute that parameter or a CI for it using SPSS.
https://www.statajournal.com/sjpdf.html?articlenum=st0253Jon Peck wrote
> Probably, the ci I pointed out is not what you want as it pertains to
> the Monte Carlo distribution. If you use the R approach, here is a
> gentler way to do this in Statistics.
>
> First, install the coin package (one time). This will prompt you for
> a location. Choose some US location from the list that appears.
>
> begin program r.
> install.packages("coin")
> end program.
>
> To run the test and get a ci for the shift in the distributions, first
> make sure that the group variable measurement level is set to nominal
> or ordinal. Then run this code (using Bruce's data).
>
> begin program r.
> library(coin)
> data= spssdata.GetDataFromSPSS(factorMode="levels")
> wilcox_test(Score~Farm, data=data, conf.int=TRUE,
> distribution="exact") end program.
>
>
> On Fri, Apr 13, 2018 at 9:21 AM, Thomas MacFarland <
> tommac@
> > wrote:
>
>> Greetings:
>>
>>
>>
>> You can also use R to easily obtain the desired statistics:
>>
>>
>>
>> *install.packages**("coin")*
>>
>> *library(coin) # Load the coin package.*
>>
>> *help(package=coin) # Show the information page.*
>>
>> *sessionInfo**() # Confirm all attached packages.*
>>
>> *# Select the most local mirror site using Set CRAN mirror.*
>>
>>
>>
>> *coin::wilcox_test(Judgment ~ Treatment.recode,*
>>
>> * data = Goats.df,*
>>
>> * distribution = "exact", conf.int < http://conf.int> = TRUE)*
>>
>> * # Note the use of ~ between the two object variables*
>>
>>
>>
>> Look at https://www.springer.com/us/book/9783319306339 and more
>> specifically the chapter on MannWhitney for more detail if the above
>> syntax is not sufficient.
>>
>>
>>
>> BTW, the Goats.df dataset is available as a free download. Just
>> click on *ESM files
>> < http://www.springer.com/cda/content/document/cda_downloaddocument>> /MacFarland.zip?SGWID=00451578079p179875955>*
>> and
>> then select Chapter 4 when the file(s) open.
>>
>>
>>
>> Best wishes.
>>
>>
>>
>> Tom MacFarland
>>
>> 
>>
>> Thomas W. MacFarland, Ed.D.
>>
>> Senior Research Associate; Institutional Effectiveness and Associate
>> Professor
>>
>> Nova Southeastern University
>>
>> Voice 9542625395
> tommac@
>>
>>
>>
>> *From:* SPSSX(r) Discussion <
> SPSSXL@.UGA
> > *On Behalf Of *Dates,
>> Brian
>> *Sent:* Friday, April 13, 2018 11:05 AM
>>
>> *To:*
> SPSSXL@.UGA
>> *Subject:* Re: MannWhitney U question
>>
>>
>>
>> If you want the actual confidence interval of the median, and not for
>> the pvalue, you can use Analyze>Descriptives>Ratio. Using Bruce's
>> data compute a third variable, e.g., denom, to use as the denominator
>> for the ratio test. Use compute denom=1 . Then either run the
>> analysis from the GUI or the syntax below.
>>
>>
>>
>> RATIO STATISTICS Score WITH denom BY Farm (ASCENDING)
>> /MISSING=EXCLUDE
>> /PRINT=CIN(95) COD MDCOV MEAN MEDIAN PRD.
>>
>>
>>
>> You'll get medians and confidence intervals for both groups and for
>> the overall score. Because it's based on ranks, you'll need to round
>> to the closest rank to get the 95% CI, or in the case of medians the
>> approximate 95% CI.
>>
>>
>>
>> Brian
>> 
>>
>> *From:* SPSSX(r) Discussion <
> SPSSXL@.UGA
> > on behalf of Bruce
>> Weaver <
> bruce.weaver@
> >
>> *Sent:* Friday, April 13, 2018 10:13:14 AM
>> *To:*
> SPSSXL@.UGA
>> *Subject:* Re: MannWhitney U question
>>
>>
>>
>> I've pasted code for an example below. What Jon has suggested gives
>> a CI for the pvalue. Is that what you were asking for Stephen?
>>
>>
>> * Example from
>> https://www.statsdirect.co.uk/help/nonparametric_methods/mann_whitney>> .htm
>> < https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2F>> www.statsdirect.co.uk%2Fhelp%2Fnonparametric_methods%2Fmann_whitney.h
>> tm&data=02%7C01%7Ctommac%40NOVA.EDU%7Cc2704a58bc8a4182f21308d5a14
>> ffeb4%7C2c2b2d312e3e4df1b571fb37c042ff1b%7C0%7C1%7C636592287329755772
>> &sdata=m4pkwBagQXjiTkGN5YbRRSCh3vNAeHMhGzvYF6QJEaA%3D&reserve
>> d=0>
>> .
>> NEW FILE.
>> DATASET CLOSE ALL.
>> DATA LIST LIST / Farm(F1) Score(F5.1).
>> BEGIN DATA
>> 1 14.8
>> 1 7.3
>> 1 5.6
>> 1 6.3
>> 1 9.0
>> 1 4.2
>> 1 10.6
>> 1 12.5
>> 1 12.9
>> 1 16.1
>> 1 11.4
>> 1 2.7
>> 0 12.7
>> 0 14.2
>> 0 12.6
>> 0 2.1
>> 0 17.7
>> 0 11.8
>> 0 16.9
>> 0 7.9
>> 0 16.0
>> 0 10.6
>> 0 5.6
>> 0 5.6
>> 0 7.6
>> 0 11.3
>> 0 8.3
>> 0 6.7
>> 0 3.6
>> 0 1.0
>> 0 2.4
>> 0 6.4
>> 0 9.1
>> 0 6.7
>> 0 18.6
>> 0 3.2
>> 0 6.2
>> 0 6.1
>> 0 15.3
>> 0 10.6
>> 0 1.8
>> 0 5.9
>> 0 9.9
>> 0 10.6
>> 0 14.8
>> 0 5.0
>> 0 2.6
>> 0 4.0
>> END DATA.
>>
>> NPAR TESTS
>> /MW= Score BY Farm(0 1)
>> /METHOD= MC CIN(95) SAMPLES(10000).
>>
>> From the output table:
>>
>> MannWhitney U: 189.000
>> Wilcoxon W: 855.000
>>
>> z = .643, p = .520
>> Monte Carlo twotailed p = .513, 95% CI .503 to .523 Monte Carlo
>> onetailed p = .253, 95% CI .245 to .262
>>
>>
>>
>> Jon Peck wrote
>> > If you have the Exact Tests option, you can use the legacy
>> > procedure to get a CI for MannWhitney with syntax like this, which
>> > uses a Monte Carlo method. This is supported in the Legacy dialog
>> > box.
>> >
>> > NPAR TESTS
>> > /MW= educ BY minority(0 1)
>> > /METHOD= MC CIN(95) SAMPLES(10000).
>> >
>> > Without Exact Tests, you can use the asymptotic standard error and
>> appeal
>> > to asymptotic normality.
>> >
>> >
>> >
>> > On Thu, Apr 12, 2018 at 6:31 PM, Salbod <
>>
>> > ssalbod@
>>
>> > > wrote:
>> >
>> >> Dear Friend,
>> >>
>> >> Is there anyway, using SPSS, to generate Confidence Intervals for
>> >> the MannWhitney U test?
>> >>
>> >> Thank you.
>> >>
>> >> Stephen Salbod, Pace University, NYC
>> >>
>> >>
>> >>
>> >>
>> >>
>> >> 
>> >> Sent from: http://spssxdiscussion.1045642.n5.nabble.com/>> < https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fs>> pssxdiscussion.1045642.n5.nabble.com%2F&data=02%7C01%7Ctommac%40
>> NOVA.EDU%7Cc2704a58bc8a4182f21308d5a14ffeb4%7C2c2b2d312e3e4df1b571fb3
>> 7c042ff1b%7C0%7C1%7C636592287329755772&sdata=x4oI%2B%2BOnsFDbdnWK
>> yU2RuPVzvH9GrH6SVCU9fW7uxZ4%3D&reserved=0>
>> >>
>> >> =====================
>> >> To manage your subscription to SPSSXL, send a message to
>> >>
>>
>> > LISTSERV@.UGA
>>
>> > (not to SPSSXL), with no body text except the
>> >> command. To leave the list, send the command SIGNOFF SPSSXL For a
>> >> list of commands to manage subscriptions, send the command INFO
>> >> REFCARD
>> >>
>> >
>> >
>> >
>> > 
>> > Jon K Peck
>>
>> > jkpeck@
>>
>> >
>> > =====================
>> > To manage your subscription to SPSSXL, send a message to
>>
>> > LISTSERV@.UGA
>>
>> > (not to SPSSXL), with no body text except the command. To leave
>> > the list, send the command SIGNOFF SPSSXL For a list of commands
>> > to manage subscriptions, send the command INFO REFCARD
>>
>>
>>
>>
>>
>> 
>> 
>> Bruce Weaver
>>
> bweaver@
> LISTSERV@.UGA
> (not to SPSSXL), with no body text except the
>> command. To leave the list, send the command SIGNOFF SPSSXL For a
>> list of commands to manage subscriptions, send the command INFO
>> REFCARD
>>
>> ===================== To manage your subscription to SPSSXL, send a
>> message to
> LISTSERV@.UGA
> (not to SPSSXL), with no body text
>> except the command. To leave the list, send the command SIGNOFF
>> SPSSXL For a list of commands to manage subscriptions, send the
>> command INFO REFCARD ===================== To manage your
>> subscription to SPSSXL, send a message to
> LISTSERV@.UGA
> (not to SPSSXL), with no body text
>> except the command. To leave the list, send the command SIGNOFF
>> SPSSXL For a list of commands to manage subscriptions, send the
>> command INFO REFCARD
>>
>
>
>
> 
> Jon K Peck
> jkpeck@
>
> =====================
> To manage your subscription to SPSSXL, send a message to
> LISTSERV@.UGA
> (not to SPSSXL), with no body text except the command. To leave the
> list, send the command SIGNOFF SPSSXL For a list of commands to
> manage subscriptions, send the command INFO REFCARD


Bruce Weaver
[hidden email]
http://sites.google.com/a/lakeheadu.ca/bweaver/"When all else fails, RTFM."
NOTE: My Hotmail account is not monitored regularly.
To send me an email, please use the address shown above.

Sent from: http://spssxdiscussion.1045642.n5.nabble.com/=====================
To manage your subscription to SPSSXL, send a message to [hidden email] (not to SPSSXL), with no body text except the command. To leave the list, send the command SIGNOFF SPSSXL For a list of commands to manage subscriptions, send the command INFO REFCARD
=====================
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[hidden email] (not to SPSSXL), with no body text except the
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As this article brings up quantile regression as an alternative or extension for particular hypotheses, I should point out that quantile regression is available in Statistics via the SPSSINC QUANTREG extension command. I wondered if Stephen was thinking about a CI for the parameter that Ronán
Conroy describes in his Stata Journal article on the MannWhitney U
testi.e., the probability that a randomly drawn X is greater than a
randomly drawn Y. Stata's ranksum command has an option (porder) to
estimate that parameter, but does not report a CI for it. I am not aware of
any direct & easy way to compute that parameter or a CI for it using SPSS.
https://www.statajournal.com/sjpdf.html?articlenum=st0253
Jon Peck wrote
> Probably, the ci I pointed out is not what you want as it pertains to the
> Monte Carlo distribution. If you use the R approach, here is a gentler
> way to do this in Statistics.
>
> First, install the coin package (one time). This will prompt you for a
> location. Choose some US location from the list that appears.
>
> begin program r.
> install.packages("coin")
> end program.
>
> To run the test and get a ci for the shift in the distributions, first
> make
> sure that the group variable measurement level is set to nominal or
> ordinal. Then run this code (using Bruce's data).
>
> begin program r.
> library(coin)
> data= spssdata.GetDataFromSPSS(factorMode="levels")
> wilcox_test(Score~Farm, data=data, conf.int=TRUE, distribution="exact")
> end program.
>
>
> On Fri, Apr 13, 2018 at 9:21 AM, Thomas MacFarland <
> tommac@
> > wrote:
>
>> Greetings:
>>
>>
>>
>> You can also use R to easily obtain the desired statistics:
>>
>>
>>
>> *install.packages**("coin")*
>>
>> *library(coin) # Load the coin package.*
>>
>> *help(package=coin) # Show the information page.*
>>
>> *sessionInfo**() # Confirm all attached packages.*
>>
>> *# Select the most local mirror site using Set CRAN mirror.*
>>
>>
>>
>> *coin::wilcox_test(Judgment ~ Treatment.recode,*
>>
>> * data = Goats.df,*
>>
>> * distribution = "exact", conf.int <http://conf.int> = TRUE)*
>>
>> * # Note the use of ~ between the two object variables*
>>
>>
>>
>> Look at https://www.springer.com/us/book/9783319306339 and more
>> specifically the chapter on MannWhitney for more detail if the above
>> syntax is not sufficient.
>>
>>
>>
>> BTW, the Goats.df dataset is available as a free download. Just click on
>> *ESM
>> files
>> <http://www.springer.com/cda/content/document/cda_downloaddocument/MacFarland.zip?SGWID=00451578079p179875955>*
>> and
>> then select Chapter 4 when the file(s) open.
>>
>>
>>
>> Best wishes.
>>
>>
>>
>> Tom MacFarland
>>
>> 
>>
>> Thomas W. MacFarland, Ed.D.
>>
>> Senior Research Associate; Institutional Effectiveness and Associate
>> Professor
>>
>> Nova Southeastern University
>>
>> Voice 9542625395
> tommac@
>>
>>
>>
>> *From:* SPSSX(r) Discussion <
> SPSSXL@.UGA
> > *On Behalf Of *Dates,
>> Brian
>> *Sent:* Friday, April 13, 2018 11:05 AM
>>
>> *To:*
> SPSSXL@.UGA
>> *Subject:* Re: MannWhitney U question
>>
>>
>>
>> If you want the actual confidence interval of the median, and not for the
>> pvalue, you can use Analyze>Descriptives>Ratio. Using Bruce's data
>> compute
>> a third variable, e.g., denom, to use as the denominator for the ratio
>> test. Use compute denom=1 . Then either run the analysis from the GUI or
>> the syntax below.
>>
>>
>>
>> RATIO STATISTICS Score WITH denom BY Farm (ASCENDING)
>> /MISSING=EXCLUDE
>> /PRINT=CIN(95) COD MDCOV MEAN MEDIAN PRD.
>>
>>
>>
>> You'll get medians and confidence intervals for both groups and for the
>> overall score. Because it's based on ranks, you'll need to round to the
>> closest rank to get the 95% CI, or in the case of medians the approximate
>> 95% CI.
>>
>>
>>
>> Brian
>> 
>>
>> *From:* SPSSX(r) Discussion <
> SPSSXL@.UGA
> > on behalf of Bruce
>> Weaver <
> bruce.weaver@
> >
>> *Sent:* Friday, April 13, 2018 10:13:14 AM
>> *To:*
> SPSSXL@.UGA
>> *Subject:* Re: MannWhitney U question
>>
>>
>>
>> I've pasted code for an example below. What Jon has suggested gives a CI
>> for
>> the pvalue. Is that what you were asking for Stephen?
>>
>>
>> * Example from
>> https://www.statsdirect.co.uk/help/nonparametric_methods/mann_whitney.htm
>> <https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.statsdirect.co.uk%2Fhelp%2Fnonparametric_methods%2Fmann_whitney.htm&data=02%7C01%7Ctommac%40NOVA.EDU%7Cc2704a58bc8a4182f21308d5a14ffeb4%7C2c2b2d312e3e4df1b571fb37c042ff1b%7C0%7C1%7C636592287329755772&sdata=m4pkwBagQXjiTkGN5YbRRSCh3vNAeHMhGzvYF6QJEaA%3D&reserved=0>
>> .
>> NEW FILE.
>> DATASET CLOSE ALL.
>> DATA LIST LIST / Farm(F1) Score(F5.1).
>> BEGIN DATA
>> 1 14.8
>> 1 7.3
>> 1 5.6
>> 1 6.3
>> 1 9.0
>> 1 4.2
>> 1 10.6
>> 1 12.5
>> 1 12.9
>> 1 16.1
>> 1 11.4
>> 1 2.7
>> 0 12.7
>> 0 14.2
>> 0 12.6
>> 0 2.1
>> 0 17.7
>> 0 11.8
>> 0 16.9
>> 0 7.9
>> 0 16.0
>> 0 10.6
>> 0 5.6
>> 0 5.6
>> 0 7.6
>> 0 11.3
>> 0 8.3
>> 0 6.7
>> 0 3.6
>> 0 1.0
>> 0 2.4
>> 0 6.4
>> 0 9.1
>> 0 6.7
>> 0 18.6
>> 0 3.2
>> 0 6.2
>> 0 6.1
>> 0 15.3
>> 0 10.6
>> 0 1.8
>> 0 5.9
>> 0 9.9
>> 0 10.6
>> 0 14.8
>> 0 5.0
>> 0 2.6
>> 0 4.0
>> END DATA.
>>
>> NPAR TESTS
>> /MW= Score BY Farm(0 1)
>> /METHOD= MC CIN(95) SAMPLES(10000).
>>
>> From the output table:
>>
>> MannWhitney U: 189.000
>> Wilcoxon W: 855.000
>>
>> z = .643, p = .520
>> Monte Carlo twotailed p = .513, 95% CI .503 to .523
>> Monte Carlo onetailed p = .253, 95% CI .245 to .262
>>
>>
>>
>> Jon Peck wrote
>> > If you have the Exact Tests option, you can use the legacy procedure to
>> > get
>> > a CI for MannWhitney with syntax like this, which uses a Monte Carlo
>> > method. This is supported in the Legacy dialog box.
>> >
>> > NPAR TESTS
>> > /MW= educ BY minority(0 1)
>> > /METHOD= MC CIN(95) SAMPLES(10000).
>> >
>> > Without Exact Tests, you can use the asymptotic standard error and
>> appeal
>> > to asymptotic normality.
>> >
>> >
>> >
>> > On Thu, Apr 12, 2018 at 6:31 PM, Salbod <
>>
>> > ssalbod@
>>
>> > > wrote:
>> >
>> >> Dear Friend,
>> >>
>> >> Is there anyway, using SPSS, to generate Confidence Intervals for the
>> >> MannWhitney U test?
>> >>
>> >> Thank you.
>> >>
>> >> Stephen Salbod, Pace University, NYC
>> >>
>> >>
>> >>
>> >>
>> >>
>> >> 
>> >> Sent from: http://spssxdiscussion.1045642.n5.nabble.com/
>> <https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fspssxdiscussion.1045642.n5.nabble.com%2F&data=02%7C01%7Ctommac%40NOVA.EDU%7Cc2704a58bc8a4182f21308d5a14ffeb4%7C2c2b2d312e3e4df1b571fb37c042ff1b%7C0%7C1%7C636592287329755772&sdata=x4oI%2B%2BOnsFDbdnWKyU2RuPVzvH9GrH6SVCU9fW7uxZ4%3D&reserved=0>
>> >>
>> >> =====================
>> >> To manage your subscription to SPSSXL, send a message to
>> >>
>>
>> > LISTSERV@.UGA
>>
>> > (not to SPSSXL), with no body text except the
>> >> command. To leave the list, send the command
>> >> SIGNOFF SPSSXL
>> >> For a list of commands to manage subscriptions, send the command
>> >> INFO REFCARD
>> >>
>> >
>> >
>> >
>> > 
>> > Jon K Peck
>>
>> > jkpeck@
>>
>> >
>> > =====================
>> > To manage your subscription to SPSSXL, send a message to
>>
>> > LISTSERV@.UGA
>>
>> > (not to SPSSXL), with no body text except the
>> > command. To leave the list, send the command
>> > SIGNOFF SPSSXL
>> > For a list of commands to manage subscriptions, send the command
>> > INFO REFCARD
>>
>>
>>
>>
>>
>> 
>> 
>> Bruce Weaver
>>
> bweaver@
>> http://sites.google.com/a/lakeheadu.ca/bweaver/
>> <https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fsites.google.com%2Fa%2Flakeheadu.ca%2Fbweaver%2F&data=02%7C01%7Ctommac%40NOVA.EDU%7Cc2704a58bc8a4182f21308d5a14ffeb4%7C2c2b2d312e3e4df1b571fb37c042ff1b%7C0%7C1%7C636592287329755772&sdata=bfW6tCkl4S5o8dr96R4wQtwrqidvpvC9d%2BFkqsahagQ%3D&reserved=0>
>>
>> "When all else fails, RTFM."
>>
>> NOTE: My Hotmail account is not monitored regularly.
>> To send me an email, please use the address shown above.
>>
>> 
>> Sent from: http://spssxdiscussion.1045642.n5.nabble.com/
>> <https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fspssxdiscussion.1045642.n5.nabble.com%2F&data=02%7C01%7Ctommac%40NOVA.EDU%7Cc2704a58bc8a4182f21308d5a14ffeb4%7C2c2b2d312e3e4df1b571fb37c042ff1b%7C0%7C1%7C636592287329755772&sdata=x4oI%2B%2BOnsFDbdnWKyU2RuPVzvH9GrH6SVCU9fW7uxZ4%3D&reserved=0>
>>
>> =====================
>> To manage your subscription to SPSSXL, send a message to
>>
> LISTSERV@.UGA
> (not to SPSSXL), with no body text except the
>> command. To leave the list, send the command
>> SIGNOFF SPSSXL
>> For a list of commands to manage subscriptions, send the command
>> INFO REFCARD
>>
>> ===================== To manage your subscription to SPSSXL, send a
>> message to
> LISTSERV@.UGA
> (not to SPSSXL), with no body text
>> except the command. To leave the list, send the command SIGNOFF SPSSXL
>> For
>> a list of commands to manage subscriptions, send the command INFO REFCARD
>> ===================== To manage your subscription to SPSSXL, send a
>> message to
> LISTSERV@.UGA
> (not to SPSSXL), with no body text
>> except the command. To leave the list, send the command SIGNOFF SPSSXL
>> For
>> a list of commands to manage subscriptions, send the command INFO REFCARD
>>
>
>
>
> 
> Jon K Peck
> jkpeck@
>
> =====================
> To manage your subscription to SPSSXL, send a message to
> LISTSERV@.UGA
> (not to SPSSXL), with no body text except the
> command. To leave the list, send the command
> SIGNOFF SPSSXL
> For a list of commands to manage subscriptions, send the command
> INFO REFCARD


Bruce Weaver
[hidden email]
http://sites.google.com/a/lakeheadu.ca/bweaver/
"When all else fails, RTFM."
NOTE: My Hotmail account is not monitored regularly.
To send me an email, please use the address shown above.

Sent from: http://spssxdiscussion.1045642.n5.nabble.com/
=====================
To manage your subscription to SPSSXL, send a message to
[hidden email] (not to SPSSXL), with no body text except the
command. To leave the list, send the command
SIGNOFF SPSSXL
For a list of commands to manage subscriptions, send the command
INFO REFCARD

=====================
To manage your subscription to SPSSXL, send a message to
[hidden email] (not to SPSSXL), with no body text except the
command. To leave the list, send the command
SIGNOFF SPSSXL
For a list of commands to manage subscriptions, send the command
INFO REFCARD

