repeated measures analysis

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repeated measures analysis

Tuncay Öğretmen

Dear colleagues,

I have a data like given below,

Group       y1          y2         y3          y4          y2           y6       z1                z2           z3          z4          z5         z6

1             11,2       16,8       26,6       35           42           51,8       9             7             6             4             2             0

1             7,2          18,0       21,6       24           26           28,0       3             2             1             1             1             0

1             12,0       15,0       22,5       30           36           43,5       4             1             0             0             0             0

2             9,8          11,2       18,2       21           27           29,4       8             6             5             3             2             0

2             8,4          8,4          8,4          8             14           18,2       4             3             1             2             1             0

2             6,3          7,6          15,4       21           26           31,0       4             5             6             5             3             1

2             12,8       16,0       19,2       26           35           48,0       8             7             5             7             6             4

3             9,6          13,2       15,6       19           30           45,0       6             4             3             2             4             1

3             11,7       15,6       24,7       33           47           54,6       10           8             4             4             2             0

3             8,4          11,2       15,4       21           27           42,0       4             3             2             2             0             1

3             8,4          9,6          13,2       16           18           24,0       7             8             3             1             2             1

…………..

 

Data definitions

Groups=  experiment =1              placebo =2                 control = 3

                 n=13                            n=15                            n= 12

y1-to y6 = six times morphine measures for each group and each person

z1 to z6 = six times VAS measures for each group and each person

y1-z1

y2-z2

,

,

y6-z6     ………..>                    measured respectively

 

How can I conduct mixed design anova analysis for two repeated conditions (repeated) with SPSS and Stata ?

Or another statistics that I can applied.

Thank you very much for your interest.

------------------------------------------------
Doç. Dr. Tuncay Öğretmen
Ege Üniversitesi, Eğitim Fakültesi
Eğitim Bilimleri Bölümü
Eğitimde Ölçme ve Değerlendirme Anabilim Dalı
Bornova/İzmir
===================== 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: repeated measures analysis

Maguin, Eugene

I’m not sure this will give you what you want, in part because I’m not sure what you want to know. Here’s an example of something that may work using GLM. Read the documentation for GLM: Repeated Measures.

 

GLM JANLO,JANHI,FEBLO,FEBHI,MARLO,MARHI BY SEX

/WSFACTOR MONTH 3 STIMULUS 2

/WSDESIGN MONTH, STIMULUS

/DESIGN SEX.

 

If you don’t like that there are ways to do this in Mixed as growth model. The basic idea is that the level 1 model incorporates a term for measure type and measure type by time in addition to a time term. I also think this also could be set up as a repeated measures model in mixed but I don’t have experience with that setup.

 

Gene Maguin

 

 

From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Tuncay Ögretmen
Sent: Monday, December 18, 2017 4:18 PM
To: [hidden email]
Subject: repeated measures analysis

 

Dear colleagues,

I have a data like given below,

Group       y1          y2         y3          y4          y2           y6       z1                z2           z3          z4          z5         z6

1             11,2       16,8       26,6       35           42           51,8       9             7             6             4             2             0

1             7,2          18,0       21,6       24           26           28,0       3             2             1             1             1             0

1             12,0       15,0       22,5       30           36           43,5       4             1             0             0             0             0

2             9,8          11,2       18,2       21           27           29,4       8             6             5             3             2             0

2             8,4          8,4          8,4          8             14           18,2       4             3             1             2             1             0

2             6,3          7,6          15,4       21           26           31,0       4             5             6             5             3             1

2             12,8       16,0       19,2       26           35           48,0       8             7             5             7             6             4

3             9,6          13,2       15,6       19           30           45,0       6             4             3             2             4             1

3             11,7       15,6       24,7       33           47           54,6       10           8             4             4             2             0

3             8,4          11,2       15,4       21           27           42,0       4             3             2             2             0             1

3             8,4          9,6          13,2       16           18           24,0       7             8             3             1             2             1

…………..

 

Data definitions

Groups=  experiment =1              placebo =2                 control = 3

                 n=13                            n=15                            n= 12

y1-to y6 = six times morphine measures for each group and each person

z1 to z6 = six times VAS measures for each group and each person

y1-z1

y2-z2

,

,

y6-z6     ………..>                    measured respectively

 

How can I conduct mixed design anova analysis for two repeated conditions (repeated) with SPSS and Stata ?

Or another statistics that I can applied.

Thank you very much for your interest.

------------------------------------------------

Doç. Dr. Tuncay Öğretmen

Ege Üniversitesi, Eğitim Fakültesi

Eğitim Bilimleri Bölümü

Eğitimde Ölçme ve Değerlendirme Anabilim Dalı

Bornova/İzmir

===================== 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: repeated measures analysis

David Marso
Administrator
OP needs to specify more about the research hypothesis befire anybody spends
any time throwing code at the wall.  Google is a big help is sorting this
type of question.


Maguin, Eugene wrote

> I’m not sure this will give you what you want, in part because I’m not
> sure what you want to know. Here’s an example of something that may work
> using GLM. Read the documentation for GLM: Repeated Measures.
>
> GLM JANLO,JANHI,FEBLO,FEBHI,MARLO,MARHI BY SEX
> /WSFACTOR MONTH 3 STIMULUS 2
> /WSDESIGN MONTH, STIMULUS
> /DESIGN SEX.
>
> If you don’t like that there are ways to do this in Mixed as growth model.
> The basic idea is that the level 1 model incorporates a term for measure
> type and measure type by time in addition to a time term. I also think
> this also could be set up as a repeated measures model in mixed but I
> don’t have experience with that setup.
>
> Gene Maguin
>
>
> From: SPSSX(r) Discussion [mailto:

> SPSSX-L@.UGA

> ] On Behalf Of Tuncay Ögretmen
> Sent: Monday, December 18, 2017 4:18 PM
> To:

> SPSSX-L@.UGA

> Subject: repeated measures analysis
>
>
> Dear colleagues,
>
> I have a data like given below,
>
> Group       y1          y2         y3          y4          y2           y6      
> z1                z2           z3          z4          z5         z6
>
> 1             11,2       16,8       26,6       35           42          
> 51,8       9             7             6             4             2            
> 0
>
> 1             7,2          18,0       21,6       24           26          
> 28,0       3             2             1             1             1            
> 0
>
> 1             12,0       15,0       22,5       30           36          
> 43,5       4             1             0             0             0            
> 0
>
> 2             9,8          11,2       18,2       21           27          
> 29,4       8             6             5             3             2            
> 0
>
> 2             8,4          8,4          8,4          8             14          
> 18,2       4             3             1             2             1            
> 0
>
> 2             6,3          7,6          15,4       21           26          
> 31,0       4             5             6             5             3            
> 1
>
> 2             12,8       16,0       19,2       26           35          
> 48,0       8             7             5             7             6            
> 4
>
> 3             9,6          13,2       15,6       19           30          
> 45,0       6             4             3             2             4            
> 1
>
> 3             11,7       15,6       24,7       33           47          
> 54,6       10           8             4             4             2            
> 0
>
> 3             8,4          11,2       15,4       21           27          
> 42,0       4             3             2             2             0            
> 1
>
> 3             8,4          9,6          13,2       16           18          
> 24,0       7             8             3             1             2            
> 1
>
> …………..
>
>
>
> Data definitions
>
> Groups=  experiment =1              placebo =2                 control = 3
>
>                  n=13                            n=15                          
> n= 12
>
> y1-to y6 = six times morphine measures for each group and each person
>
> z1 to z6 = six times VAS measures for each group and each person
>
> y1-z1
>
> y2-z2
>
> ,
>
> ,
>
> y6-z6     ………..>                    measured respectively
>
>
>
> How can I conduct mixed design anova analysis for two repeated conditions
> (repeated) with SPSS and Stata ?
>
> Or another statistics that I can applied.
>
> Thank you very much for your interest.
> ------------------------------------------------
> Doç. Dr. Tuncay Öğretmen
> Ege Üniversitesi, Eğitim Fakültesi
> Eğitim Bilimleri Bölümü
> Eğitimde Ölçme ve Değerlendirme Anabilim Dalı
> Bornova/İzmir
> ===================== To manage your subscription to SPSSX-L, send a
> message to

> LISTSERV@.UGA

> <mailto:

> LISTSERV@.UGA

> > (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

> LISTSERV@.UGA

>  (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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=====================
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
Please reply to the list and not to my personal email.
Those desiring my consulting or training services please feel free to email me.
---
"Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos ne forte conculcent eas pedibus suis."
Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?"