Means, averages

[Samir Omerovic]

Hi to all,

 

I have question about average values. I have data that looks like this:

 

V1  V2  V3  V4

1

3

5

3

3

     1

     3

     4

     5

     4

            5

            1

            4

            4

                  5

                  4

                  2

                  2

                  2

 

 

These are answers on scale from 1-agree to 5-disagree to certain question. Variables V1, V2, V3, V4
are basically different groups of respondents but all answers are to the same question. It is the
same as this one:

 

 

Q  G

1   1

3   1

5   1

3   1

3   1

1   2

3   2

4   2

5   2

4   2

5   3

1   3

4   3

4   3

5   4

4   4

2   4

2   4

2   4

 

Q stands for question and G stands for Group.

 

So now I need to compare means in following way: Group1 vs. average of all other groups. How should
I calculate the average of all other groups? Is it simple as making them all Group2 or should I pay
attention to some other details?

 

Hope I wrote it clear enough:)

 

 

Samir

 

Samir Omerovic
Researcher
___________________________
GfK BH d.o.o.
Skenderija 44
71 000 Sarajevo
Bosnia and Herzegovina
Phone [phone]
Fax [phone]
[hidden email]
www.gfk.ba
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[ViAnn Beadle]

What do you mean by compare? Do you mean to test the hypothesis that there
are no differences between groups, between group 1 and all other groups or
something else?

-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of
Samir Omerovic
Sent: Thursday, January 31, 2008 3:40 AM
To: [hidden email]
Subject: Means, averages

Hi to all,



I have question about average values. I have data that looks like this:



V1  V2  V3  V4

1

3

5

3

3

     1

     3

     4

     5

     4

            5

            1

            4

            4

                  5

                  4

                  2

                  2

                  2





These are answers on scale from 1-agree to 5-disagree to certain question.
Variables V1, V2, V3, V4
are basically different groups of respondents but all answers are to the
same question. It is the
same as this one:





Q  G

1   1

3   1

5   1

3   1

3   1

1   2

3   2

4   2

5   2

4   2

5   3

1   3

4   3

4   3

5   4

4   4

2   4

2   4

2   4



Q stands for question and G stands for Group.



So now I need to compare means in following way: Group1 vs. average of all
other groups. How should
I calculate the average of all other groups? Is it simple as making them all
Group2 or should I pay
attention to some other details?



Hope I wrote it clear enough:)





Samir



Samir Omerovic
Researcher
___________________________
GfK BH d.o.o.
Skenderija 44
71 000 Sarajevo
Bosnia and Herzegovina
Phone [phone]
Fax [phone]
[hidden email]
www.gfk.ba
Before printing this e-mail, please consider environment protection.

This e-mail (and any attachment/s) contains confidential and/or privileged
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 distribution of the material in this e-mail is strictly forbidden.

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naznačena kao primalac
molimo odmah upozoriti pošiljaoca
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[Samir Omerovic]

Hi,

First of all I need to calculate that mean for all other groups, and then to compare it with group1
(to test hypothesis that there is no difference between group1 and average of all other groups.

Samir

Samir Omerovic
Researcher
___________________________
GfK BH d.o.o.
Skenderija 44
71 000 Sarajevo
Bosnia and Herzegovina
Phone [phone]
Fax [phone]
[hidden email]
www.gfk.ba
 Before printing this e-mail, please consider environment protection.

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 distribution of the material in this e-mail is strictly forbidden.

Ova e-poruka sadrži povjerljive i/ili povlaštene podatke. Ako niste osoba naznačena kao primalac
molimo odmah upozoriti pošiljaoca
i uništiti primljenu e-poruku. Neautorizirano kopiranje, objavljivanje ili distribucija sadržaja iz
elektronske poruke striktno je zabranjeno.
-----Original Message-----
From: ViAnn Beadle [mailto:[hidden email]]
Sent: Thursday, January 31, 2008 4:44 PM
To: 'Samir Omerovic'
Cc: [hidden email]
Subject: RE: Means, averages

What do you mean by compare? Do you mean to test the hypothesis that there
are no differences between groups, between group 1 and all other groups or
something else?

-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of
Samir Omerovic
Sent: Thursday, January 31, 2008 3:40 AM
To: [hidden email]
Subject: Means, averages

Hi to all,



I have question about average values. I have data that looks like this:



V1  V2  V3  V4

1

3

5

3

3

     1

     3

     4

     5

     4

            5

            1

            4

            4

                  5

                  4

                  2

                  2

                  2





These are answers on scale from 1-agree to 5-disagree to certain question.
Variables V1, V2, V3, V4
are basically different groups of respondents but all answers are to the
same question. It is the
same as this one:





Q  G

1   1

3   1

5   1

3   1

3   1

1   2

3   2

4   2

5   2

4   2

5   3

1   3

4   3

4   3

5   4

4   4

2   4

2   4

2   4



Q stands for question and G stands for Group.



So now I need to compare means in following way: Group1 vs. average of all
other groups. How should
I calculate the average of all other groups? Is it simple as making them all
Group2 or should I pay
attention to some other details?



Hope I wrote it clear enough:)





Samir



Samir Omerovic
Researcher
___________________________
GfK BH d.o.o.
Skenderija 44
71 000 Sarajevo
Bosnia and Herzegovina
Phone [phone]
Fax [phone]
[hidden email]
www.gfk.ba
Before printing this e-mail, please consider environment protection.

This e-mail (and any attachment/s) contains confidential and/or privileged
information. If you are
not the intended recipient (or have
received this e-mail in error) please notify the sender immediately and
destroy this e-mail.  Any
unauthorized copying, disclosure or
 distribution of the material in this e-mail is strictly forbidden.

Ova e-poruka sadrži povjerljive i/ili povlaštene podatke. Ako niste osoba
naznačena kao primalac
molimo odmah upozoriti pošiljaoca
i uništiti primljenu e-poruku. Neautorizirano kopiranje, objavljivanje ili
distribucija sadržaja iz
elektronske poruke striktno je zabranjeno.



=======
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For a list of commands to manage subscriptions, send the command
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Version: 7.5.516 / Virus Database: 269.19.7/1234 - Release Date: 20.1.2008 14:15

=====================
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[ViAnn Beadle]

Assuming the responses in the groups are completely independent, get your
data into the shape of one response variable and one group variable--your
second layout. The recode the group variable into two groups:

Recode g (1=1)(2,3,4=2)into twogroups.

Use any of the univariate analysis of variance procedures such as ANOVA,
ONEWAY, UNIANOVA, t-TEST (since you only have 2 groups) to test your
hypothesis. All of these procedures will also provide the group means as
either default or optional output. You can find details in Help.


-----Original Message-----
From: Samir Omerovic [mailto:[hidden email]]
Sent: Thursday, January 31, 2008 8:50 AM
To: 'ViAnn Beadle'
Cc: [hidden email]
Subject: RE: Means, averages

Hi,

First of all I need to calculate that mean for all other groups, and then to
compare it with group1
(to test hypothesis that there is no difference between group1 and average
of all other groups.

Samir

Samir Omerovic
Researcher

[Vi sez:]
-----Original Message-----

What do you mean by compare? Do you mean to test the hypothesis that there
are no differences between groups, between group 1 and all other groups or
something else?

-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of
Samir Omerovic
Sent: Thursday, January 31, 2008 3:40 AM
To: [hidden email]
Subject: Means, averages

Hi to all,



I have question about average values. I have data that looks like this:



V1  V2  V3  V4

1

3

5

3

3

     1

     3

     4

     5

     4

            5

            1

            4

            4

                  5

                  4

                  2

                  2

                  2





These are answers on scale from 1-agree to 5-disagree to certain question.
Variables V1, V2, V3, V4
are basically different groups of respondents but all answers are to the
same question. It is the
same as this one:





Q  G

1   1

3   1

5   1

3   1

3   1

1   2

3   2

4   2

5   2

4   2

5   3

1   3

4   3

4   3

5   4

4   4

2   4

2   4

2   4



Q stands for question and G stands for Group.



So now I need to compare means in following way: Group1 vs. average of all
other groups. How should
I calculate the average of all other groups? Is it simple as making them all
Group2 or should I pay
attention to some other details?



Hope I wrote it clear enough:)





Samir



Samir Omerovic
Researcher
___________________________
GfK BH d.o.o.
Skenderija 44
71 000 Sarajevo
Bosnia and Herzegovina
Phone [phone]
Fax [phone]
[hidden email]
www.gfk.ba
Before printing this e-mail, please consider environment protection.

This e-mail (and any attachment/s) contains confidential and/or privileged
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not the intended recipient (or have
received this e-mail in error) please notify the sender immediately and
destroy this e-mail.  Any
unauthorized copying, disclosure or
 distribution of the material in this e-mail is strictly forbidden.

Ova e-poruka sadrži povjerljive i/ili povlaštene podatke. Ako niste osoba
naznačena kao primalac
molimo odmah upozoriti pošiljaoca
i uništiti primljenu e-poruku. Neautorizirano kopiranje, objavljivanje ili
distribucija sadržaja iz
elektronske poruke striktno je zabranjeno.



=======
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[hidden email] (not to SPSSX-L), with no body text except the
command. To leave the list, send the command
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For a list of commands to manage subscriptions, send the command
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Version: 7.5.516 / Virus Database: 269.19.7/1234 - Release Date: 20.1.2008
14:15

=====================
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[Samir Omerovic]

Thanks ViAnn,

This works fine for me. I have another question which you kind of brought up. What if my variables
are not completely independent? For example some respondents do fall in two or three groups, and I
want to calculate the mean of different groups. So I have situation like this:

V1 V2 V3
1
2    2
1         3
     4    2
1         5
     4
          3


What to do in this case?

Samir Omerovic
Researcher
___________________________
GfK BH d.o.o.
Skenderija 44
71 000 Sarajevo
Bosnia and Herzegovina
Phone [phone]
Fax [phone]
[hidden email]
www.gfk.ba
 Before printing this e-mail, please consider environment protection.

This e-mail (and any attachment/s) contains confidential and/or privileged information. If you are
not the intended recipient (or have
received this e-mail in error) please notify the sender immediately and destroy this e-mail.  Any
unauthorized copying, disclosure or
 distribution of the material in this e-mail is strictly forbidden.

Ova e-poruka sadrži povjerljive i/ili povlaštene podatke. Ako niste osoba naznačena kao primalac
molimo odmah upozoriti pošiljaoca
i uništiti primljenu e-poruku. Neautorizirano kopiranje, objavljivanje ili distribucija sadržaja iz
elektronske poruke striktno je zabranjeno.

-----Original Message-----
From: ViAnn Beadle [mailto:[hidden email]]
Sent: Thursday, January 31, 2008 5:38 PM
To: 'Samir Omerovic'
Cc: [hidden email]
Subject: RE: Means, averages

Assuming the responses in the groups are completely independent, get your
data into the shape of one response variable and one group variable--your
second layout. The recode the group variable into two groups:

Recode g (1=1)(2,3,4=2)into twogroups.

Use any of the univariate analysis of variance procedures such as ANOVA,
ONEWAY, UNIANOVA, t-TEST (since you only have 2 groups) to test your
hypothesis. All of these procedures will also provide the group means as
either default or optional output. You can find details in Help.


-----Original Message-----
From: Samir Omerovic [mailto:[hidden email]]
Sent: Thursday, January 31, 2008 8:50 AM
To: 'ViAnn Beadle'
Cc: [hidden email]
Subject: RE: Means, averages

Hi,

First of all I need to calculate that mean for all other groups, and then to
compare it with group1
(to test hypothesis that there is no difference between group1 and average
of all other groups.

Samir

Samir Omerovic
Researcher

[Vi sez:]
-----Original Message-----

What do you mean by compare? Do you mean to test the hypothesis that there
are no differences between groups, between group 1 and all other groups or
something else?

-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of
Samir Omerovic
Sent: Thursday, January 31, 2008 3:40 AM
To: [hidden email]
Subject: Means, averages

Hi to all,



I have question about average values. I have data that looks like this:



V1  V2  V3  V4

1

3

5

3

3

     1

     3

     4

     5

     4

            5

            1

            4

            4

                  5

                  4

                  2

                  2

                  2





These are answers on scale from 1-agree to 5-disagree to certain question.
Variables V1, V2, V3, V4
are basically different groups of respondents but all answers are to the
same question. It is the
same as this one:





Q  G

1   1

3   1

5   1

3   1

3   1

1   2

3   2

4   2

5   2

4   2

5   3

1   3

4   3

4   3

5   4

4   4

2   4

2   4

2   4



Q stands for question and G stands for Group.



So now I need to compare means in following way: Group1 vs. average of all
other groups. How should
I calculate the average of all other groups? Is it simple as making them all
Group2 or should I pay
attention to some other details?



Hope I wrote it clear enough:)





Samir



Samir Omerovic
Researcher
___________________________
GfK BH d.o.o.
Skenderija 44
71 000 Sarajevo
Bosnia and Herzegovina
Phone [phone]
Fax [phone]
[hidden email]
www.gfk.ba
Before printing this e-mail, please consider environment protection.

This e-mail (and any attachment/s) contains confidential and/or privileged
information. If you are
not the intended recipient (or have
received this e-mail in error) please notify the sender immediately and
destroy this e-mail.  Any
unauthorized copying, disclosure or
 distribution of the material in this e-mail is strictly forbidden.

Ova e-poruka sadrži povjerljive i/ili povlaštene podatke. Ako niste osoba
naznačena kao primalac
molimo odmah upozoriti pošiljaoca
i uništiti primljenu e-poruku. Neautorizirano kopiranje, objavljivanje ili
distribucija sadržaja iz
elektronske poruke striktno je zabranjeno.



=======
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



--
Internal Virus Database is out-of-date.
Checked by AVG Free Edition.
Version: 7.5.516 / Virus Database: 269.19.7/1234 - Release Date: 20.1.2008
14:15




--
Internal Virus Database is out-of-date.
Checked by AVG Free Edition.
Version: 7.5.516 / Virus Database: 269.19.7/1234 - Release Date: 20.1.2008 14:15

=====================
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
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For a list of commands to manage subscriptions, send the command
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[ViAnn Beadle]

Ouch, you can compute means for this but I have no idea how to get the
correct degrees of freedom because this is a multiple response situation.
Based upon the values here, is a mean really the relevant statistic to use?
You might try the compare columns test in CTABLES.

-----Original Message-----
From: Samir Omerovic [mailto:[hidden email]]
Sent: Thursday, January 31, 2008 9:56 AM
To: 'ViAnn Beadle'
Cc: [hidden email]
Subject: RE: Means, averages

Thanks ViAnn,

This works fine for me. I have another question which you kind of brought
up. What if my variables
are not completely independent? For example some respondents do fall in two
or three groups, and I
want to calculate the mean of different groups. So I have situation like
this:

V1 V2 V3
1
2    2
1         3
     4    2
1         5
     4
          3


What to do in this case?

Samir Omerovic
Researcher
___________________________
GfK BH d.o.o.
Skenderija 44
71 000 Sarajevo
Bosnia and Herzegovina
Phone [phone]
Fax [phone]
[hidden email]
www.gfk.ba
 Before printing this e-mail, please consider environment protection.

This e-mail (and any attachment/s) contains confidential and/or privileged
information. If you are
not the intended recipient (or have
received this e-mail in error) please notify the sender immediately and
destroy this e-mail.  Any
unauthorized copying, disclosure or
 distribution of the material in this e-mail is strictly forbidden.

Ova e-poruka sadrži povjerljive i/ili povlaštene podatke. Ako niste osoba
naznačena kao primalac
molimo odmah upozoriti pošiljaoca
i uništiti primljenu e-poruku. Neautorizirano kopiranje, objavljivanje ili
distribucija sadržaja iz
elektronske poruke striktno je zabranjeno.

-----Original Message-----
From: ViAnn Beadle [mailto:[hidden email]]
Sent: Thursday, January 31, 2008 5:38 PM
To: 'Samir Omerovic'
Cc: [hidden email]
Subject: RE: Means, averages

Assuming the responses in the groups are completely independent, get your
data into the shape of one response variable and one group variable--your
second layout. The recode the group variable into two groups:

Recode g (1=1)(2,3,4=2)into twogroups.

Use any of the univariate analysis of variance procedures such as ANOVA,
ONEWAY, UNIANOVA, t-TEST (since you only have 2 groups) to test your
hypothesis. All of these procedures will also provide the group means as
either default or optional output. You can find details in Help.


-----Original Message-----
From: Samir Omerovic [mailto:[hidden email]]
Sent: Thursday, January 31, 2008 8:50 AM
To: 'ViAnn Beadle'
Cc: [hidden email]
Subject: RE: Means, averages

Hi,

First of all I need to calculate that mean for all other groups, and then to
compare it with group1
(to test hypothesis that there is no difference between group1 and average
of all other groups.

Samir

Samir Omerovic
Researcher

[Vi sez:]
-----Original Message-----

What do you mean by compare? Do you mean to test the hypothesis that there
are no differences between groups, between group 1 and all other groups or
something else?

-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of
Samir Omerovic
Sent: Thursday, January 31, 2008 3:40 AM
To: [hidden email]
Subject: Means, averages

Hi to all,



I have question about average values. I have data that looks like this:



V1  V2  V3  V4

1

3

5

3

3

     1

     3

     4

     5

     4

            5

            1

            4

            4

                  5

                  4

                  2

                  2

                  2





These are answers on scale from 1-agree to 5-disagree to certain question.
Variables V1, V2, V3, V4
are basically different groups of respondents but all answers are to the
same question. It is the
same as this one:





Q  G

1   1

3   1

5   1

3   1

3   1

1   2

3   2

4   2

5   2

4   2

5   3

1   3

4   3

4   3

5   4

4   4

2   4

2   4

2   4



Q stands for question and G stands for Group.



So now I need to compare means in following way: Group1 vs. average of all
other groups. How should
I calculate the average of all other groups? Is it simple as making them all
Group2 or should I pay
attention to some other details?



Hope I wrote it clear enough:)





Samir



Samir Omerovic
Researcher
___________________________
GfK BH d.o.o.
Skenderija 44
71 000 Sarajevo
Bosnia and Herzegovina
Phone [phone]
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[Marta Garcia-Granero]

Hi Samir

Use ONEWAY with a linear contrast:

DATA LIST LIST/Q  G (2 F8).
BEGIN DATA
1   1
3   1
5   1
3   1
3   1
1   2
3   2
4   2
5   2
4   2
5   3
1   3
4   3
4   3
5   4
4   4
2   4
2   4
2   4
END DATA.

ONEWAY Q BY G
  /CONTRAST= -3 1 1 1
  /STATISTICS DESCRIPTIVES.

This will gice you the correct significance test for the comparison of
group #1 vs average of the other 3. This approach has also the advantage
that you can compare 1st group against a weighted average of the other 3
(provided you have a set of weights to quantify the relative
contribution of each group to the overall mean).

HTH,

Marta García-Granero

> Hi to all,
>
>
>
> I have question about average values. I have data that looks like this:
>
>
>
> These are answers on scale from 1-agree to 5-disagree to certain question. Variables V1, V2, V3, V4
> are basically different groups of respondents but all answers are to the same question. It is the
> same as this one:
>
>
>
> Q  G
> 1   1
> 3   1
> 5   1
> 3   1
> 3   1
> 1   2
> 3   2
> 4   2
> 5   2
> 4   2
> 5   3
> 1   3
> 4   3
> 4   3
> 5   4
> 4   4
> 2   4
> 2   4
> 2   4
>
> Q stands for question and G stands for Group.
>
>
> so now I need to compare means in following way: Group1 vs. average of all other groups. How should
> I calculate the average of all other groups? Is it simple as making them all Group2 or should I pay
> attention to some other details?
>
>
>
> Hope I wrote it clear enough:)
>

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