Which Statistical test to use?!

[Saeed Rezaei-2]

Hi all,
I am dubious about which statistical test to use for my research questions. I would be glad to receive your comments. My research question is:

Is there any relationship between the Iranian English language learners' language identity and their age, gender, and language proficiency level.
The language identity is measured through a validated questionnaire with 19 items. And the language identity included six subscales in the questionnaire namely:
1. attachment to persian language
2. pronunciation attitude
3. language and social status
4. L1 use and exposure in the society
5. language knowledge
6. script

Each of the above subscales had 3 to 4 items.

Now the first research question will be transformed into multiple research questions including:

1.       There is no relationship between Iranian English language learners’ attachment to Persian and their

·         gender,

·          age, and

·         proficiency level

2.       There is no relationship between Iranian English language learners’ pronunciation attitude and their

·         gender,

·          age, and

·         proficiency level

3.       There is no relationship between Iranian English language learners’ language and social status and their

·         gender,

·          age, and

·         proficiency level

4.       There is no relationship between Iranian English language learners’ L1 use/exposure in the society and their

·         gender,

·          age, and

·         proficiency level

5.       There is no relationship between Iranian English language learners’ language knowledge and their

·         gender,

·          age, and

·         proficiency level

6.       There is no relationship between Iranian English language learners’ script/alphabet and their

·         gender,

·          age, and

·         proficiency level

 

Now....what do you think would be the best statistical test? Do you think I should use MANOVA? Do not forget that I am after "relation" not "effect". How should I enter the data for each subscale.
Thanks in advance to all of you for your kind attention.

Saeed

[Jarrod Teo-2]

Hi Saeed,
 
This seems to be more of a modeling than a Statistical testing to see if there is a relationship.
 
I am going to try to suggest based on what I had interpret from your email.
 
Looking at if there is a relationship between Iranian English language learners’ attachment to Persian

1. gender
2. age
3. proficiency level

 
My dependent variable will be Attachment to Persian. Assuming that attachment is scored 1 - 5.
 
My independent variables will be gender, age and proficiency level. 
 
I will use a decision tree model to test which are the independent variables that are important to the variable Attachment to Persian.
 
If all 3 of the independent variables are important, the decision tree will allow you to see
 
For a respondent which is

1. Male
2. 30-51 years old
3. Proficiency level 5

 
how attached is he to Persian.
 
Warmest Regards
Dorraj Oet

 

---

Date: Tue, 18 Dec 2012 18:01:17 +1100
From: [hidden email]
Subject: Which Statistical test to use?!
To: [hidden email]

Hi all,
I am dubious about which statistical test to use for my research questions. I would be glad to receive your comments. My research question is:

Is there any relationship between the Iranian English language learners' language identity and their age, gender, and language proficiency level.
The language identity is measured through a validated questionnaire with 19 items. And the language identity included six subscales in the questionnaire namely:
1. attachment to persian language
2. pronunciation attitude
3. language and social status
4. L1 use and exposure in the society
5. language knowledge
6. script

Each of the above subscales had 3 to 4 items.

Now the first research question will be transformed into multiple research questions including:

1.       There is no relationship between Iranian English language learners’ attachment to Persian and their

・         gender,

・          age, and

・         proficiency level

2.       There is no relationship between Iranian English language learners’ pronunciation attitude and their

・         gender,

・          age, and

・         proficiency level

3.       There is no relationship between Iranian English language learners’ language and social status and their

・         gender,

・          age, and

・         proficiency level

4.       There is no relationship between Iranian English language learners’ L1 use/exposure in the society and their

・         gender,

・          age, and

・         proficiency level

5.       There is no relationship between Iranian English language learners’ language knowledge and their

・         gender,

・          age, and

・         proficiency level

6.       There is no relationship between Iranian English language learners’ script/alphabet and their

・         gender,

・          age, and

・         proficiency level

 

Now....what do you think would be the best statistical test? Do you think I should use MANOVA? Do not forget that I am after "relation" not "effect". How should I enter the data for each subscale.
Thanks in advance to all of you for your kind attention.

Saeed

[Saeed Rezaei-2]

I have already run EFA and CFA on the questionnaire. Actually I have the Likert scale from 1 to 6 for each of the items in the questionnaire, and the gender is male and female as expected, the age group is divided into four 11-15, 16-20, 21-25, 26+, and the language proficiency is also divided into six including basic, elementary, pre-inter, inter, high inter, and advanced.
My first question is: Should I check the relationship between each subscale and each of the above variables? i mean does it sound plausible? And if yes, it becomes very complicated for data analysis. What do you suggest?
Thanks

On Tue, Dec 18, 2012 at 6:39 PM, DorraJ Oet <[hidden email]> wrote:

Dorraj

[Saeed Rezaei-2]

Thanks for your reply.
Actually I have never run decision tree for my data analysis!
I hope I can work out an easier way!
Thanks and I will be looking forward to hearing more from the group and you.

On Tue, Dec 18, 2012 at 7:05 PM, DorraJ Oet <[hidden email]> wrote:

Hi Saeed,
 
It is nice to know that each item is likert scale.
 
The reason why I suggested a decision tree because a Dean of a University once mentioned that the decision tree take care of interaction. Also, it might be meaningful to find out which of the variables, gender, age and proficiency level is important to

 
1. attachment to persian language
2. pronunciation attitude
3. language and social status
4. L1 use and exposure in the society
5. language knowledge
6. script

If I am doing the analysis, I will build decicison trees for all the 6 items using them as dependent variables and gender, age and proficiency level will be the independent variables. It might be interesting to know which of these 3 variables are important to the 6 variables above.
 
One more thing about Decision tree is that is can actually "group" the age for me. The age range of a respondent being attached to Persian Language might be different from that who has a high language knowledge. I can also do profiling along the way with a decision tree.
 
 
Warmest Regards
Dorraj
 

---

Date: Tue, 18 Dec 2012 18:45:51 +1100
Subject: Re: Which Statistical test to use?!
From: [hidden email]
To: [hidden email]
CC: [hidden email]

I have already run EFA and CFA on the questionnaire. Actually I have the Likert scale from 1 to 6 for each of the items in the questionnaire, and the gender is male and female as expected, the age group is divided into four 11-15, 16-20, 21-25, 26+, and the language proficiency is also divided into six including basic, elementary, pre-inter, inter, high inter, and advanced.
My first question is: Should I check the relationship between each subscale and each of the above variables? i mean does it sound plausible? And if yes, it becomes very complicated for data analysis. What do you suggest?
Thanks

On Tue, Dec 18, 2012 at 6:39 PM, DorraJ Oet <[hidden email]> wrote:

Dorraj

 

---

From: [hidden email]
To: [hidden email]; [hidden email]
Subject: RE: Which Statistical test to use?!
Date: Tue, 18 Dec 2012 07:39:55 +0000

Hi Saeed,
 
This seems to be more of a modeling than a Statistical testing to see if there is a relationship.
 
I am going to try to suggest based on what I had interpret from your email.
 
Looking at if there is a relationship between Iranian English language learners’ attachment to Persian

1. gender
2. age
3. proficiency level

 
My dependent variable will be Attachment to Persian. Assuming that attachment is scored 1 - 5.
 
My independent variables will be gender, age and proficiency level. 
 
I will use a decision tree model to test which are the independent variables that are important to the variable Attachment to Persian.
 
If all 3 of the independent variables are important, the decision tree will allow you to see
 
For a respondent which is

1. Male
2. 30-51 years old
3. Proficiency level 5

 
how attached is he to Persian.
 
Warmest Regards
Dorraj Oet

 

---

Date: Tue, 18 Dec 2012 18:01:17 +1100
From: [hidden email]
Subject: Which Statistical test to use?!
To: [hidden email]

Hi all,
I am dubious about which statistical test to use for my research questions. I would be glad to receive your comments. My research question is:

Is there any relationship between the Iranian English language learners' language identity and their age, gender, and language proficiency level.
The language identity is measured through a validated questionnaire with 19 items. And the language identity included six subscales in the questionnaire namely:
1. attachment to persian language
2. pronunciation attitude
3. language and social status
4. L1 use and exposure in the society
5. language knowledge
6. script

Each of the above subscales had 3 to 4 items.

Now the first research question will be transformed into multiple research questions including:

1.       There is no relationship between Iranian English language learners’ attachment to Persian and their

·         gender,

·          age, and

·         proficiency level

2.       There is no relationship between Iranian English language learners’ pronunciation attitude and their

·         gender,

·          age, and

·         proficiency level

3.       There is no relationship between Iranian English language learners’ language and social status and their

·         gender,

·          age, and

·         proficiency level

4.       There is no relationship between Iranian English language learners’ L1 use/exposure in the society and their

·         gender,

·          age, and

·         proficiency level

5.       There is no relationship between Iranian English language learners’ language knowledge and their

·         gender,

·          age, and

·         proficiency level

6.       There is no relationship between Iranian English language learners’ script/alphabet and their

·         gender,

·          age, and

·         proficiency level

 

Now....what do you think would be the best statistical test? Do you think I should use MANOVA? Do not forget that I am after "relation" not "effect". How should I enter the data for each subscale.
Thanks in advance to all of you for your kind attention.

Saeed

[John F Hall]

Have you tried running a simple crosstabs of your demographics against your scales?

 

Not exactly clear from your email what you’ve got in the way of data, but from your data editor:

 

File > New > Syntax

 

. . then write in:  [modify to your own variable names]

 

CROSSTABS gender, age, level by scale1 to scale6

               /cel cou row /sta chi.

 

. . Run > all

 

It looks like you need to think of analysis of variance (ANOVA) to compare more than two groups on each of your dependent variables, but others on the list are better statisticians than me.  Get back to me if you need further help.

 

 

John F Hall (Mr)

[retired academic survey researcher]

 

Email:     [hidden email]

Website: www.surveyresearch.weebly.com

 

 

 

 

 

 

 

 

 

From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Saeed Rezaei
Sent: 18 December 2012 09:22
To: [hidden email]
Subject: Re: Which Statistical test to use?!

 

Thanks for your reply.
Actually I have never run decision tree for my data analysis!
I hope I can work out an easier way!
Thanks and I will be looking forward to hearing more from the group and you.

On Tue, Dec 18, 2012 at 7:05 PM, DorraJ Oet <[hidden email]> wrote:

Hi Saeed,
 
It is nice to know that each item is likert scale.
 
The reason why I suggested a decision tree because a Dean of a University once mentioned that the decision tree take care of interaction. Also, it might be meaningful to find out which of the variables, gender, age and proficiency level is important to

 
1. attachment to persian language
2. pronunciation attitude
3. language and social status
4. L1 use and exposure in the society
5. language knowledge
6. script

If I am doing the analysis, I will build decicison trees for all the 6 items using them as dependent variables and gender, age and proficiency level will be the independent variables. It might be interesting to know which of these 3 variables are important to the 6 variables above.
 
One more thing about Decision tree is that is can actually "group" the age for me. The age range of a respondent being attached to Persian Language might be different from that who has a high language knowledge. I can also do profiling along the way with a decision tree.
 
 
Warmest Regards
Dorraj
 

---

Date: Tue, 18 Dec 2012 18:45:51 +1100
Subject: Re: Which Statistical test to use?!
From: [hidden email]
To: [hidden email]
CC: [hidden email]

I have already run EFA and CFA on the questionnaire. Actually I have the Likert scale from 1 to 6 for each of the items in the questionnaire, and the gender is male and female as expected, the age group is divided into four 11-15, 16-20, 21-25, 26+, and the language proficiency is also divided into six including basic, elementary, pre-inter, inter, high inter, and advanced.
My first question is: Should I check the relationship between each subscale and each of the above variables? i mean does it sound plausible? And if yes, it becomes very complicated for data analysis. What do you suggest?
Thanks

On Tue, Dec 18, 2012 at 6:39 PM, DorraJ Oet <[hidden email]> wrote:

Dorraj

 

 

---

From: [hidden email]
To: [hidden email]; [hidden email]
Subject: RE: Which Statistical test to use?!
Date: Tue, 18 Dec 2012 07:39:55 +0000

 

Hi Saeed,
 
This seems to be more of a modeling than a Statistical testing to see if there is a relationship.
 
I am going to try to suggest based on what I had interpret from your email.
 
Looking at if there is a relationship between Iranian English language learners’ attachment to Persian

1. gender
2. age
3. proficiency level

 
My dependent variable will be Attachment to Persian. Assuming that attachment is scored 1 - 5.
 
My independent variables will be gender, age and proficiency level. 
 
I will use a decision tree model to test which are the independent variables that are important to the variable Attachment to Persian.
 
If all 3 of the independent variables are important, the decision tree will allow you to see
 
For a respondent which is

1. Male
2. 30-51 years old
3. Proficiency level 5

 
how attached is he to Persian.
 
Warmest Regards
Dorraj Oet

 

---

Date: Tue, 18 Dec 2012 18:01:17 +1100
From: [hidden email]
Subject: Which Statistical test to use?!
To: [hidden email]

Hi all,
I am dubious about which statistical test to use for my research questions. I would be glad to receive your comments. My research question is:

Is there any relationship between the Iranian English language learners' language identity and their age, gender, and language proficiency level.
The language identity is measured through a validated questionnaire with 19 items. And the language identity included six subscales in the questionnaire namely:
1. attachment to persian language
2. pronunciation attitude
3. language and social status
4. L1 use and exposure in the society
5. language knowledge
6. script

Each of the above subscales had 3 to 4 items.

Now the first research question will be transformed into multiple research questions including:

1.       There is no relationship between Iranian English language learners’ attachment to Persian and their

·         gender,

·          age, and

·         proficiency level

2.       There is no relationship between Iranian English language learners’ pronunciation attitude and their

·         gender,

·          age, and

·         proficiency level

3.       There is no relationship between Iranian English language learners’ language and social status and their

·         gender,

·          age, and

·         proficiency level

4.       There is no relationship between Iranian English language learners’ L1 use/exposure in the society and their

·         gender,

·          age, and

·         proficiency level

5.       There is no relationship between Iranian English language learners’ language knowledge and their

·         gender,

·          age, and

·         proficiency level

6.       There is no relationship between Iranian English language learners’ script/alphabet and their

·         gender,

·          age, and

·         proficiency level

 

Now....what do you think would be the best statistical test? Do you think I should use MANOVA? Do not forget that I am after "relation" not "effect". How should I enter the data for each subscale.
Thanks in advance to all of you for your kind attention.

Saeed

 

[Saeed Rezaei-2]

Thanks John for your reply. I have already done the descriptive statistics on the items and their related likert scale (providing the frequency and percentage).
A friend of mine said I better use multiple regression but change the research question to prediction. I am still a bit confused!

Thanks for your help

On Tue, Dec 18, 2012 at 8:27 PM, John F Hall <[hidden email]> wrote:

Have you tried running a simple crosstabs of your demographics against your scales?

 

Not exactly clear from your email what you’ve got in the way of data, but from your data editor:

 

File > New > Syntax

 

. . then write in:  [modify to your own variable names]

 

CROSSTABS gender, age, level by scale1 to scale6

               /cel cou row /sta chi.

 

. . Run > all

 

It looks like you need to think of analysis of variance (ANOVA) to compare more than two groups on each of your dependent variables, but others on the list are better statisticians than me.  Get back to me if you need further help.

 

 

John F Hall (Mr)

[retired academic survey researcher]

 

Email:     [hidden email]

Website: www.surveyresearch.weebly.com

 

 

 

 

 

 

 

 

 

From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Saeed Rezaei
Sent: 18 December 2012 09:22
To: [hidden email]

Subject: Re: Which Statistical test to use?!

 

Thanks for your reply.
Actually I have never run decision tree for my data analysis!
I hope I can work out an easier way!
Thanks and I will be looking forward to hearing more from the group and you.

On Tue, Dec 18, 2012 at 7:05 PM, DorraJ Oet <[hidden email]> wrote:

Hi Saeed,
 
It is nice to know that each item is likert scale.
 
The reason why I suggested a decision tree because a Dean of a University once mentioned that the decision tree take care of interaction. Also, it might be meaningful to find out which of the variables, gender, age and proficiency level is important to

 
1. attachment to persian language
2. pronunciation attitude
3. language and social status
4. L1 use and exposure in the society
5. language knowledge
6. script

If I am doing the analysis, I will build decicison trees for all the 6 items using them as dependent variables and gender, age and proficiency level will be the independent variables. It might be interesting to know which of these 3 variables are important to the 6 variables above.
 
One more thing about Decision tree is that is can actually "group" the age for me. The age range of a respondent being attached to Persian Language might be different from that who has a high language knowledge. I can also do profiling along the way with a decision tree.
 
 
Warmest Regards
Dorraj
 

---

Date: Tue, 18 Dec 2012 18:45:51 +1100
Subject: Re: Which Statistical test to use?!
From: [hidden email]
To: [hidden email]
CC: [hidden email]

I have already run EFA and CFA on the questionnaire. Actually I have the Likert scale from 1 to 6 for each of the items in the questionnaire, and the gender is male and female as expected, the age group is divided into four 11-15, 16-20, 21-25, 26+, and the language proficiency is also divided into six including basic, elementary, pre-inter, inter, high inter, and advanced.
My first question is: Should I check the relationship between each subscale and each of the above variables? i mean does it sound plausible? And if yes, it becomes very complicated for data analysis. What do you suggest?
Thanks

On Tue, Dec 18, 2012 at 6:39 PM, DorraJ Oet <[hidden email]> wrote:

Dorraj

 

 

---

From: [hidden email]
To: [hidden email]; [hidden email]
Subject: RE: Which Statistical test to use?!
Date: Tue, 18 Dec 2012 07:39:55 +0000

 

Hi Saeed,
 
This seems to be more of a modeling than a Statistical testing to see if there is a relationship.
 
I am going to try to suggest based on what I had interpret from your email.
 
Looking at if there is a relationship between Iranian English language learners’ attachment to Persian

1. gender
2. age
3. proficiency level

 
My dependent variable will be Attachment to Persian. Assuming that attachment is scored 1 - 5.
 
My independent variables will be gender, age and proficiency level. 
 
I will use a decision tree model to test which are the independent variables that are important to the variable Attachment to Persian.
 
If all 3 of the independent variables are important, the decision tree will allow you to see
 
For a respondent which is

1. Male
2. 30-51 years old
3. Proficiency level 5

 
how attached is he to Persian.
 
Warmest Regards
Dorraj Oet

 

---

Date: Tue, 18 Dec 2012 18:01:17 +1100
From: [hidden email]
Subject: Which Statistical test to use?!
To: [hidden email]

Hi all,
I am dubious about which statistical test to use for my research questions. I would be glad to receive your comments. My research question is:

Is there any relationship between the Iranian English language learners' language identity and their age, gender, and language proficiency level.
The language identity is measured through a validated questionnaire with 19 items. And the language identity included six subscales in the questionnaire namely:
1. attachment to persian language
2. pronunciation attitude
3. language and social status
4. L1 use and exposure in the society
5. language knowledge
6. script

Each of the above subscales had 3 to 4 items.

Now the first research question will be transformed into multiple research questions including:

1.       There is no relationship between Iranian English language learners’ attachment to Persian and their

·         gender,

·          age, and

·         proficiency level

2.       There is no relationship between Iranian English language learners’ pronunciation attitude and their

·         gender,

·          age, and

·         proficiency level

3.       There is no relationship between Iranian English language learners’ language and social status and their

·         gender,

·          age, and

·         proficiency level

4.       There is no relationship between Iranian English language learners’ L1 use/exposure in the society and their

·         gender,

·          age, and

·         proficiency level

5.       There is no relationship between Iranian English language learners’ language knowledge and their

·         gender,

·          age, and

·         proficiency level

6.       There is no relationship between Iranian English language learners’ script/alphabet and their

·         gender,

·          age, and

·         proficiency level

 

Now....what do you think would be the best statistical test? Do you think I should use MANOVA? Do not forget that I am after "relation" not "effect". How should I enter the data for each subscale.
Thanks in advance to all of you for your kind attention.

Saeed

 

[Saeed Rezaei-2]

Ok
Thanks

On Tue, Dec 18, 2012 at 8:56 PM, DorraJ Oet <[hidden email]> wrote:

Hi Saeed,
 
Decision Trees family comprisies of C5, CHAID, QUEST and C&RT.
 
C5 is only available in SPSS Modeler. I had deployed one for one of my company's vendors before to predict which customers are likely to purchase an insurance product.
 
In any case, back to decision tree, you might want to have some readings from wiki as a start first to know something about it. It might come in useful for future analysis.
 
http://en.wikipedia.org/wiki/Decision_tree_learning
 
I am currently launching another data mining model named Sequence Detection model too. Those that you see on an online website stating that if you had bought a certain product, what are the recommended products for you. A data mining model which works using conditional probability.
 
There are also many good website on Data Mining Models as well.

 
Warmest Regards
Dorraj Oet
 

---

Date: Tue, 18 Dec 2012 19:21:55 +1100

Subject: Re: Which Statistical test to use?!
From: [hidden email]
To: [hidden email]
CC: [hidden email]

Thanks for your reply.
Actually I have never run decision tree for my data analysis!
I hope I can work out an easier way!
Thanks and I will be looking forward to hearing more from the group and you.

On Tue, Dec 18, 2012 at 7:05 PM, DorraJ Oet <[hidden email]> wrote:

Hi Saeed,
 
It is nice to know that each item is likert scale.
 
The reason why I suggested a decision tree because a Dean of a University once mentioned that the decision tree take care of interaction. Also, it might be meaningful to find out which of the variables, gender, age and proficiency level is important to

 
1. attachment to persian language
2. pronunciation attitude
3. language and social status
4. L1 use and exposure in the society
5. language knowledge
6. script

If I am doing the analysis, I will build decicison trees for all the 6 items using them as dependent variables and gender, age and proficiency level will be the independent variables. It might be interesting to know which of these 3 variables are important to the 6 variables above.
 
One more thing about Decision tree is that is can actually "group" the age for me. The age range of a respondent being attached to Persian Language might be different from that who has a high language knowledge. I can also do profiling along the way with a decision tree.
 
 
Warmest Regards
Dorraj
 

---

Date: Tue, 18 Dec 2012 18:45:51 +1100
Subject: Re: Which Statistical test to use?!
From: [hidden email]
To: [hidden email]
CC: [hidden email]

I have already run EFA and CFA on the questionnaire. Actually I have the Likert scale from 1 to 6 for each of the items in the questionnaire, and the gender is male and female as expected, the age group is divided into four 11-15, 16-20, 21-25, 26+, and the language proficiency is also divided into six including basic, elementary, pre-inter, inter, high inter, and advanced.
My first question is: Should I check the relationship between each subscale and each of the above variables? i mean does it sound plausible? And if yes, it becomes very complicated for data analysis. What do you suggest?
Thanks

On Tue, Dec 18, 2012 at 6:39 PM, DorraJ Oet <[hidden email]> wrote:

Dorraj

 

---

From: [hidden email]
To: [hidden email]; [hidden email]
Subject: RE: Which Statistical test to use?!
Date: Tue, 18 Dec 2012 07:39:55 +0000

Hi Saeed,
 
This seems to be more of a modeling than a Statistical testing to see if there is a relationship.
 
I am going to try to suggest based on what I had interpret from your email.
 
Looking at if there is a relationship between Iranian English language learners’ attachment to Persian

1. gender
2. age
3. proficiency level

 
My dependent variable will be Attachment to Persian. Assuming that attachment is scored 1 - 5.
 
My independent variables will be gender, age and proficiency level. 
 
I will use a decision tree model to test which are the independent variables that are important to the variable Attachment to Persian.
 
If all 3 of the independent variables are important, the decision tree will allow you to see
 
For a respondent which is

1. Male
2. 30-51 years old
3. Proficiency level 5

 
how attached is he to Persian.
 
Warmest Regards
Dorraj Oet

 

---

Date: Tue, 18 Dec 2012 18:01:17 +1100
From: [hidden email]
Subject: Which Statistical test to use?!
To: [hidden email]

Hi all,
I am dubious about which statistical test to use for my research questions. I would be glad to receive your comments. My research question is:

Is there any relationship between the Iranian English language learners' language identity and their age, gender, and language proficiency level.
The language identity is measured through a validated questionnaire with 19 items. And the language identity included six subscales in the questionnaire namely:
1. attachment to persian language
2. pronunciation attitude
3. language and social status
4. L1 use and exposure in the society
5. language knowledge
6. script

Each of the above subscales had 3 to 4 items.

Now the first research question will be transformed into multiple research questions including:

1.       There is no relationship between Iranian English language learners’ attachment to Persian and their

·         gender,

·          age, and

·         proficiency level

2.       There is no relationship between Iranian English language learners’ pronunciation attitude and their

·         gender,

·          age, and

·         proficiency level

3.       There is no relationship between Iranian English language learners’ language and social status and their

·         gender,

·          age, and

·         proficiency level

4.       There is no relationship between Iranian English language learners’ L1 use/exposure in the society and their

·         gender,

·          age, and

·         proficiency level

5.       There is no relationship between Iranian English language learners’ language knowledge and their

·         gender,

·          age, and

·         proficiency level

6.       There is no relationship between Iranian English language learners’ script/alphabet and their

·         gender,

·          age, and

·         proficiency level

 

Now....what do you think would be the best statistical test? Do you think I should use MANOVA? Do not forget that I am after "relation" not "effect". How should I enter the data for each subscale.
Thanks in advance to all of you for your kind attention.

Saeed

[John F Hall]

You can also use nested crosstabs or nested means to investigate changes in part of your dependent variable(s).  Helps to understand what’s going on before you get into multivariate modelling.

 

Try something based on this (modify varnames to suit)

 

CTABLES

  /TABLE  sex [c] > age [c] > level [c]

   BY persian [c][ROWPCT.COUNT TOTALS[COUNT]]

  /CATEGORIES VARIABLES= sex age level  Persian TOTAL=YES POSITION=AFTER .

 

I’m forwarding (off-list) an example from a recent analysis using syntax like the above.

 

You can also do something similar with MEANS.

 

John F Hall (Mr)

[retired academic survey researcher]

 

Email:     [hidden email]

Website: www.surveyresearch.weebly.com

 

 

 

 

 

 

From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Saeed Rezaei
Sent: 18 December 2012 10:39
To: [hidden email]
Subject: Re: Which Statistical test to use?!

 

Thanks John for your reply. I have already done the descriptive statistics on the items and their related likert scale (providing the frequency and percentage).
A friend of mine said I better use multiple regression but change the research question to prediction. I am still a bit confused!

Thanks for your help

On Tue, Dec 18, 2012 at 8:27 PM, John F Hall <[hidden email]> wrote:

Have you tried running a simple crosstabs of your demographics against your scales?

 

Not exactly clear from your email what you’ve got in the way of data, but from your data editor:

 

File > New > Syntax

 

. . then write in:  [modify to your own variable names]

 

CROSSTABS gender, age, level by scale1 to scale6

               /cel cou row /sta chi.

 

. . Run > all

 

It looks like you need to think of analysis of variance (ANOVA) to compare more than two groups on each of your dependent variables, but others on the list are better statisticians than me.  Get back to me if you need further help.

 

 

John F Hall (Mr)

[retired academic survey researcher]

 

Email:     [hidden email]

Website: www.surveyresearch.weebly.com

 

 

 

 

 

 

 

 

 

From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Saeed Rezaei
Sent: 18 December 2012 09:22
To: [hidden email]

Subject: Re: Which Statistical test to use?!

 

Thanks for your reply.
Actually I have never run decision tree for my data analysis!
I hope I can work out an easier way!
Thanks and I will be looking forward to hearing more from the group and you.

On Tue, Dec 18, 2012 at 7:05 PM, DorraJ Oet <[hidden email]> wrote:

Hi Saeed,
 
It is nice to know that each item is likert scale.
 
The reason why I suggested a decision tree because a Dean of a University once mentioned that the decision tree take care of interaction. Also, it might be meaningful to find out which of the variables, gender, age and proficiency level is important to

 
1. attachment to persian language
2. pronunciation attitude
3. language and social status
4. L1 use and exposure in the society
5. language knowledge
6. script

If I am doing the analysis, I will build decicison trees for all the 6 items using them as dependent variables and gender, age and proficiency level will be the independent variables. It might be interesting to know which of these 3 variables are important to the 6 variables above.
 
One more thing about Decision tree is that is can actually "group" the age for me. The age range of a respondent being attached to Persian Language might be different from that who has a high language knowledge. I can also do profiling along the way with a decision tree.
 
 
Warmest Regards
Dorraj
 

---

Date: Tue, 18 Dec 2012 18:45:51 +1100
Subject: Re: Which Statistical test to use?!
From: [hidden email]
To: [hidden email]
CC: [hidden email]

I have already run EFA and CFA on the questionnaire. Actually I have the Likert scale from 1 to 6 for each of the items in the questionnaire, and the gender is male and female as expected, the age group is divided into four 11-15, 16-20, 21-25, 26+, and the language proficiency is also divided into six including basic, elementary, pre-inter, inter, high inter, and advanced.
My first question is: Should I check the relationship between each subscale and each of the above variables? i mean does it sound plausible? And if yes, it becomes very complicated for data analysis. What do you suggest?
Thanks

On Tue, Dec 18, 2012 at 6:39 PM, DorraJ Oet <[hidden email]> wrote:

Dorraj

 

 

---

From: [hidden email]
To: [hidden email]; [hidden email]
Subject: RE: Which Statistical test to use?!
Date: Tue, 18 Dec 2012 07:39:55 +0000

 

Hi Saeed,
 
This seems to be more of a modeling than a Statistical testing to see if there is a relationship.
 
I am going to try to suggest based on what I had interpret from your email.
 
Looking at if there is a relationship between Iranian English language learners’ attachment to Persian

1. gender
2. age
3. proficiency level

 
My dependent variable will be Attachment to Persian. Assuming that attachment is scored 1 - 5.
 
My independent variables will be gender, age and proficiency level. 
 
I will use a decision tree model to test which are the independent variables that are important to the variable Attachment to Persian.
 
If all 3 of the independent variables are important, the decision tree will allow you to see
 
For a respondent which is

1. Male
2. 30-51 years old
3. Proficiency level 5

 
how attached is he to Persian.
 
Warmest Regards
Dorraj Oet

 

---

Date: Tue, 18 Dec 2012 18:01:17 +1100
From: [hidden email]
Subject: Which Statistical test to use?!
To: [hidden email]

Hi all,
I am dubious about which statistical test to use for my research questions. I would be glad to receive your comments. My research question is:

Is there any relationship between the Iranian English language learners' language identity and their age, gender, and language proficiency level.
The language identity is measured through a validated questionnaire with 19 items. And the language identity included six subscales in the questionnaire namely:
1. attachment to persian language
2. pronunciation attitude
3. language and social status
4. L1 use and exposure in the society
5. language knowledge
6. script

Each of the above subscales had 3 to 4 items.

Now the first research question will be transformed into multiple research questions including:

1.       There is no relationship between Iranian English language learners’ attachment to Persian and their

·         gender,

·          age, and

·         proficiency level

2.       There is no relationship between Iranian English language learners’ pronunciation attitude and their

·         gender,

·          age, and

·         proficiency level

3.       There is no relationship between Iranian English language learners’ language and social status and their

·         gender,

·          age, and

·         proficiency level

4.       There is no relationship between Iranian English language learners’ L1 use/exposure in the society and their

·         gender,

·          age, and

·         proficiency level

5.       There is no relationship between Iranian English language learners’ language knowledge and their

·         gender,

·          age, and

·         proficiency level

6.       There is no relationship between Iranian English language learners’ script/alphabet and their

·         gender,

·          age, and

·         proficiency level

 

Now....what do you think would be the best statistical test? Do you think I should use MANOVA? Do not forget that I am after "relation" not "effect". How should I enter the data for each subscale.
Thanks in advance to all of you for your kind attention.

Saeed

 

 

[Art Kendall]

first crosstab age, gender, and language proficiency level.
do you have sufficient numbers in all of the cells to examine the three way interaction?

then use glm to do a repeated measures anova using as many interaction terms as your cells sizes allow. The subscales are the repeats.
On 12/18/2012 2:01 AM, Saeed Rezaei wrote:

Hi all,
I am dubious about which statistical test to use for my research questions. I would be glad to receive your comments. My research question is:

Is there any relationship between the Iranian English language learners' language identity and their age, gender, and language proficiency level.
The language identity is measured through a validated questionnaire with 19 items. And the language identity included six subscales in the questionnaire namely:
1. attachment to persian language
2. pronunciation attitude
3. language and social status
4. L1 use and exposure in the society
5. language knowledge
6. script

Each of the above subscales had 3 to 4 items.

Now the first research question will be transformed into multiple research questions including:

1. There is no relationship between Iranian English language learners’ attachment to Persian and their

· gender,

· age, and

· proficiency level

2. There is no relationship between Iranian English language learners’ pronunciation attitude and their

· gender,

· age, and

· proficiency level

3. There is no relationship between Iranian English language learners’ language and social status and their

· gender,

· age, and

· proficiency level

4. There is no relationship between Iranian English language learners’ L1 use/exposure in the society and their

· gender,

· age, and

· proficiency level

5. There is no relationship between Iranian English language learners’ language knowledge and their

· gender,

· age, and

· proficiency level

6. There is no relationship between Iranian English language learners’ script/alphabet and their

· gender,

· age, and

· proficiency level

Now....what do you think would be the best statistical test? Do you think I should use MANOVA? Do not forget that I am after "relation" not "effect". How should I enter the data for each subscale.
Thanks in advance to all of you for your kind attention.

Saeed

===================== 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]

multiple regression is a special case of GLM. but doing the GLM with a anova with repeated measures aaproach would use more of the information available.

Also if you have missing data in some of the repeats, you might need to move to multiple level modelling.
On 12/18/2012 4:39 AM, Saeed Rezaei wrote:

Thanks John for your reply. I have already done the descriptive statistics on the items and their related likert scale (providing the frequency and percentage).
A friend of mine said I better use multiple regression but change the research question to prediction. I am still a bit confused!

Thanks for your help

On Tue, Dec 18, 2012 at 8:27 PM, John F Hall <[hidden email]> wrote:

Have you tried running a simple crosstabs of your demographics against your scales?

Not exactly clear from your email what you’ve got in the way of data, but from your data editor:

File > New > Syntax

. . then write in: [modify to your own variable names]

CROSSTABS gender, age, level by scale1 to scale6

/cel cou row /sta chi.

. . Run > all

It looks like you need to think of analysis of variance (ANOVA) to compare more than two groups on each of your dependent variables, but others on the list are better statisticians than me. Get back to me if you need further help.

John F Hall (Mr)

[retired academic survey researcher]

Email: [hidden email]

Website: www.surveyresearch.weebly.com

From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Saeed Rezaei
Sent: 18 December 2012 09:22
To: [hidden email]

Subject: Re: Which Statistical test to use?!

Thanks for your reply.
Actually I have never run decision tree for my data analysis!
I hope I can work out an easier way!
Thanks and I will be looking forward to hearing more from the group and you.

On Tue, Dec 18, 2012 at 7:05 PM, DorraJ Oet <[hidden email]> wrote:

Hi Saeed,

It is nice to know that each item is likert scale.

The reason why I suggested a decision tree because a Dean of a University once mentioned that the decision tree take care of interaction. Also, it might be meaningful to find out which of the variables, gender, age and proficiency level is important to

1. attachment to persian language
2. pronunciation attitude
3. language and social status
4. L1 use and exposure in the society
5. language knowledge
6. script

If I am doing the analysis, I will build decicison trees for all the 6 items using them as dependent variables and gender, age and proficiency level will be the independent variables. It might be interesting to know which of these 3 variables are important to the 6 variables above.

One more thing about Decision tree is that is can actually "group" the age for me. The age range of a respondent being attached to Persian Language might be different from that who has a high language knowledge. I can also do profiling along the way with a decision tree.


Warmest Regards
Dorraj

---

Date: Tue, 18 Dec 2012 18:45:51 +1100
Subject: Re: Which Statistical test to use?!
From: [hidden email]
To: [hidden email]
CC: [hidden email]

I have already run EFA and CFA on the questionnaire. Actually I have the Likert scale from 1 to 6 for each of the items in the questionnaire, and the gender is male and female as expected, the age group is divided into four 11-15, 16-20, 21-25, 26+, and the language proficiency is also divided into six including basic, elementary, pre-inter, inter, high inter, and advanced.
My first question is: Should I check the relationship between each subscale and each of the above variables? i mean does it sound plausible? And if yes, it becomes very complicated for data analysis. What do you suggest?
Thanks

On Tue, Dec 18, 2012 at 6:39 PM, DorraJ Oet <[hidden email]> wrote:

Dorraj

---

From: [hidden email]
To: [hidden email]; [hidden email]
Subject: RE: Which Statistical test to use?!
Date: Tue, 18 Dec 2012 07:39:55 +0000

Hi Saeed,

This seems to be more of a modeling than a Statistical testing to see if there is a relationship.

I am going to try to suggest based on what I had interpret from your email.

Looking at if there is a relationship between Iranian English language learners’ attachment to Persian

1. gender
2. age
3. proficiency level

My dependent variable will be Attachment to Persian. Assuming that attachment is scored 1 - 5.

My independent variables will be gender, age and proficiency level.

I will use a decision tree model to test which are the independent variables that are important to the variable Attachment to Persian.

If all 3 of the independent variables are important, the decision tree will allow you to see

For a respondent which is

1. Male
2. 30-51 years old
3. Proficiency level 5

how attached is he to Persian.

Warmest Regards
Dorraj Oet

---

Date: Tue, 18 Dec 2012 18:01:17 +1100
From: [hidden email]
Subject: Which Statistical test to use?!
To: [hidden email]

Hi all,
I am dubious about which statistical test to use for my research questions. I would be glad to receive your comments. My research question is:

Is there any relationship between the Iranian English language learners' language identity and their age, gender, and language proficiency level.
The language identity is measured through a validated questionnaire with 19 items. And the language identity included six subscales in the questionnaire namely:
1. attachment to persian language
2. pronunciation attitude
3. language and social status
4. L1 use and exposure in the society
5. language knowledge
6. script

Each of the above subscales had 3 to 4 items.

Now the first research question will be transformed into multiple research questions including:

1. There is no relationship between Iranian English language learners’ attachment to Persian and their

· gender,

· age, and

· proficiency level

2. There is no relationship between Iranian English language learners’ pronunciation attitude and their

· gender,

· age, and

· proficiency level

3. There is no relationship between Iranian English language learners’ language and social status and their

· gender,

· age, and

· proficiency level

4. There is no relationship between Iranian English language learners’ L1 use/exposure in the society and their

· gender,

· age, and

· proficiency level

5. There is no relationship between Iranian English language learners’ language knowledge and their

· gender,

· age, and

· proficiency level

6. There is no relationship between Iranian English language learners’ script/alphabet and their

· gender,

· age, and

· proficiency level

Now....what do you think would be the best statistical test? Do you think I should use MANOVA? Do not forget that I am after "relation" not "effect". How should I enter the data for each subscale.
Thanks in advance to all of you for your kind attention.

Saeed

===================== 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

[Saeed Rezaei-2]

Thanks for your informative comments everybody. I have 1805 participants in my survey.

On Wed, Dec 19, 2012 at 12:49 AM, Art Kendall <[hidden email]> wrote:

first crosstab age, gender, and language proficiency level.
do you have sufficient numbers in all of the cells to examine the three way interaction?

then use glm to do a repeated measures anova using as many interaction terms as your cells sizes allow.  The subscales are the repeats.

Art Kendall
Social Research Consultants

On 12/18/2012 2:01 AM, Saeed Rezaei wrote:

Hi all,
I am dubious about which statistical test to use for my research questions. I would be glad to receive your comments. My research question is:

Is there any relationship between the Iranian English language learners' language identity and their age, gender, and language proficiency level.
The language identity is measured through a validated questionnaire with 19 items. And the language identity included six subscales in the questionnaire namely:
1. attachment to persian language
2. pronunciation attitude
3. language and social status
4. L1 use and exposure in the society
5. language knowledge
6. script

Each of the above subscales had 3 to 4 items.

Now the first research question will be transformed into multiple research questions including:

1.       There is no relationship between Iranian English language learners’ attachment to Persian and their

·         gender,

·          age, and

·         proficiency level

2.       There is no relationship between Iranian English language learners’ pronunciation attitude and their

·         gender,

·          age, and

·         proficiency level

3.       There is no relationship between Iranian English language learners’ language and social status and their

·         gender,

·          age, and

·         proficiency level

4.       There is no relationship between Iranian English language learners’ L1 use/exposure in the society and their

·         gender,

·          age, and

·         proficiency level

5.       There is no relationship between Iranian English language learners’ language knowledge and their

·         gender,

·          age, and

·         proficiency level

6.       There is no relationship between Iranian English language learners’ script/alphabet and their

·         gender,

·          age, and

·         proficiency level

 

Now....what do you think would be the best statistical test? Do you think I should use MANOVA? Do not forget that I am after "relation" not "effect". How should I enter the data for each subscale.
Thanks in advance to all of you for your kind attention.

Saeed

[Alok Kumar Jha]

Saeed
Use Chi-Square Test of association... it allows you to test if there is a
significant relationship between two or more categorical variables....

Thanks & Regards
Alok Kumar




From:   Saeed Rezaei <[hidden email]>
To:     [hidden email]
Date:   12/18/2012 08:13 PM
Subject:        Re: Which Statistical test to use?!
Sent by:        "SPSSX(r) Discussion" <[hidden email]>



Thanks for your informative comments everybody. I have 1805 participants in
my survey.


On Wed, Dec 19, 2012 at 12:49 AM, Art Kendall <[hidden email]> wrote:
  first crosstab age, gender, and language proficiency level.
  do you have sufficient numbers in all of the cells to examine the three
  way interaction?

  then use glm to do a repeated measures anova using as many interaction
  terms as your cells sizes allow.�  The subscales are the repeats.
  Art Kendall
  Social Research Consultants
  On 12/18/2012 2:01 AM, Saeed Rezaei wrote:
        Hi all,
        I am dubious about which statistical test to use for my research
        questions. I would be glad to receive your comments. My research
        question is:

        Is there any relationship between the Iranian English language
        learners' language identity and their age, gender, and language
        proficiency level.
        The language identity is measured through a validated questionnaire
        with 19 items. And the language identity included six subscales in
        the questionnaire namely:
        1. attachment to persian language
        2. pronunciation attitude
        3. language and social status
        4. L1 use and exposure in the society
        5. language knowledge
        6. script

        Each of the above subscales had 3 to 4 items.

        Now the first research question will be transformed into multiple
        research questions including:
              1. � � � � � �  There  is  no  relationship between Iranian English
              language learners’ attachment to Persian and their
                 ·� � � � � � � �  gender,
                 ·� � � � � � � �  � age, and
                 ·� � � � � � � �  proficiency level
              2. � � � � � �  There  is  no  relationship between Iranian English
              language learners’ pronunciation attitude and their
                 ·� � � � � � � �  gender,
                 ·� � � � � � � �  � age, and
                 ·� � � � � � � �  proficiency level
              3. � � � � � �  There  is  no  relationship between Iranian English
              language learners’ language and social status and their
                 ·� � � � � � � �  gender,
                 ·� � � � � � � �  � age, and
                 ·� � � � � � � �  proficiency level
              4. � � � � � �  There  is  no  relationship between Iranian English
              language learners’ L1 use/exposure in the society and their
                 ·� � � � � � � �  gender,
                 ·� � � � � � � �  � age, and
                 ·� � � � � � � �  proficiency level
              5. � � � � � �  There  is  no  relationship between Iranian English
              language learners’ language knowledge and their
                 ·� � � � � � � �  gender,
                 ·� � � � � � � �  � age, and
                 ·� � � � � � � �  proficiency level
              6. � � � � � �  There  is  no  relationship between Iranian English
              language learners’ script/alphabet and their
                 ·� � � � � � � �  gender,
                 ·� � � � � � � �  � age, and
                 ·� � � � � � � �  proficiency level





        Now....what do you think would be the best statistical test? Do you
        think I should use MANOVA? Do not forget that I am after "relation"
        not "effect". How should I enter the data for each subscale.
        Thanks in advance to all of you for your kind attention.

        Saeed

=====================
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

[Saeed Rezaei-2]

Thanks Kumar for your comments but I dont think Chi-square is appropriate cuz the data from the questionnaire is score (interval data) and only the age, gender, and education are transformed into categories. I can use Chi-square if the data from the questionnaire is also categorical like low, medium, and high i language identity. I dont wanna transform my already interval data to ordinal or nominal data cuz it would culminate in missing information.
What do you think?

On Wed, Dec 19, 2012 at 2:13 AM, Alok Kumar Jha <[hidden email]> wrote:

Saeed
Use Chi-Square Test of association... it allows you to test if there is a
significant relationship between two or more categorical variables....

Thanks & Regards
Alok Kumar
Business Intelligence & Data Warehousing,
Lab Services & Solutions-India,
India Software Lab, EGL Business Park,
Bangalore – 560 071 India
====================================
Lotus Notes: Alok Kumar Jha/India/IBM
Internet address: [hidden email]
Office: 91 80 41777089
Mobile: [phone]

I have no special talents. I am only passionately curious.
(Embedded image moved to file: pic19194.jpg)Silver Redbook Author
(Embedded image moved to file: pic04976.jpg)



From:   Saeed Rezaei <[hidden email]>
To:     [hidden email]
Date:   12/18/2012 08:13 PM

Subject:        Re: Which Statistical test to use?!

Sent by:        "SPSSX(r) Discussion" <[hidden email]>

Thanks for your informative comments everybody. I have 1805 participants in
my survey.


On Wed, Dec 19, 2012 at 12:49 AM, Art Kendall <[hidden email]> wrote:
  first crosstab age, gender, and language proficiency level.
  do you have sufficient numbers in all of the cells to examine the three
  way interaction?

  then use glm to do a repeated measures anova using as many interaction
  terms as your cells sizes allow.  The subscales are the repeats.
  Art Kendall
  Social Research Consultants
  On 12/18/2012 2:01 AM, Saeed Rezaei wrote:
        Hi all,
        I am dubious about which statistical test to use for my research
        questions. I would be glad to receive your comments. My research
        question is:

        Is there any relationship between the Iranian English language
        learners' language identity and their age, gender, and language
        proficiency level.
        The language identity is measured through a validated questionnaire
        with 19 items. And the language identity included six subscales in
        the questionnaire namely:
        1. attachment to persian language
        2. pronunciation attitude
        3. language and social status
        4. L1 use and exposure in the society
        5. language knowledge
        6. script

        Each of the above subscales had 3 to 4 items.

        Now the first research question will be transformed into multiple
        research questions including:
              1.        There  is  no  relationship between Iranian English
              language learners’ attachment to Persian and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level
              2.        There  is  no  relationship between Iranian English
              language learners’ pronunciation attitude and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level
              3.        There  is  no  relationship between Iranian English
              language learners’ language and social status and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level
              4.        There  is  no  relationship between Iranian English
              language learners’ L1 use/exposure in the society and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level
              5.        There  is  no  relationship between Iranian English
              language learners’ language knowledge and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level
              6.        There  is  no  relationship between Iranian English
              language learners’ script/alphabet and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level





        Now....what do you think would be the best statistical test? Do you
        think I should use MANOVA? Do not forget that I am after "relation"
        not "effect". How should I enter the data for each subscale.
        Thanks in advance to all of you for your kind attention.

        Saeed

[John F Hall]

You can use chi-square with anything.  See table 2.2 and Fig 7.1 in the statistical notes accompanying the Survey Analysis Workshop on my website.

 

http://surveyresearch.weebly.com/uploads/2/9/9/8/2998485/statistical_notes_2012_draft.pdf

 

 

John F Hall (Mr)

[retired academic survey researcher]

 

Email:     [hidden email]

Website: www.surveyresearch.weebly.com

 

 

 

 

 

 

From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Saeed Rezaei
Sent: 19 December 2012 06:05
To: [hidden email]
Subject: Re: Which Statistical test to use?!

 

Thanks Kumar for your comments but I dont think Chi-square is appropriate cuz the data from the questionnaire is score (interval data) and only the age, gender, and education are transformed into categories. I can use Chi-square if the data from the questionnaire is also categorical like low, medium, and high i language identity. I dont wanna transform my already interval data to ordinal or nominal data cuz it would culminate in missing information.
What do you think?

On Wed, Dec 19, 2012 at 2:13 AM, Alok Kumar Jha <[hidden email]> wrote:

Saeed
Use Chi-Square Test of association... it allows you to test if there is a
significant relationship between two or more categorical variables....

Thanks & Regards
Alok Kumar
Business Intelligence & Data Warehousing,
Lab Services & Solutions-India,
India Software Lab, EGL Business Park,
Bangalore – 560 071 India
====================================
Lotus Notes: Alok Kumar Jha/India/IBM
Internet address: [hidden email]
Office: 91 80 41777089
Mobile: [phone]

I have no special talents. I am only passionately curious.
(Embedded image moved to file: pic19194.jpg)Silver Redbook Author
(Embedded image moved to file: pic04976.jpg)



From:   Saeed Rezaei <[hidden email]>
To:     [hidden email]
Date:   12/18/2012 08:13 PM

Subject:        Re: Which Statistical test to use?!

Sent by:        "SPSSX(r) Discussion" <[hidden email]>

Thanks for your informative comments everybody. I have 1805 participants in
my survey.


On Wed, Dec 19, 2012 at 12:49 AM, Art Kendall <[hidden email]> wrote:
  first crosstab age, gender, and language proficiency level.
  do you have sufficient numbers in all of the cells to examine the three
  way interaction?

  then use glm to do a repeated measures anova using as many interaction
  terms as your cells sizes allow.  The subscales are the repeats.
  Art Kendall
  Social Research Consultants
  On 12/18/2012 2:01 AM, Saeed Rezaei wrote:
        Hi all,
        I am dubious about which statistical test to use for my research
        questions. I would be glad to receive your comments. My research
        question is:

        Is there any relationship between the Iranian English language
        learners' language identity and their age, gender, and language
        proficiency level.
        The language identity is measured through a validated questionnaire
        with 19 items. And the language identity included six subscales in
        the questionnaire namely:
        1. attachment to persian language
        2. pronunciation attitude
        3. language and social status
        4. L1 use and exposure in the society
        5. language knowledge
        6. script

        Each of the above subscales had 3 to 4 items.

        Now the first research question will be transformed into multiple
        research questions including:
              1.        There  is  no  relationship between Iranian English
              language learners’ attachment to Persian and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level
              2.        There  is  no  relationship between Iranian English
              language learners’ pronunciation attitude and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level
              3.        There  is  no  relationship between Iranian English
              language learners’ language and social status and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level
              4.        There  is  no  relationship between Iranian English
              language learners’ L1 use/exposure in the society and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level
              5.        There  is  no  relationship between Iranian English
              language learners’ language knowledge and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level
              6.        There  is  no  relationship between Iranian English
              language learners’ script/alphabet and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level





        Now....what do you think would be the best statistical test? Do you
        think I should use MANOVA? Do not forget that I am after "relation"
        not "effect". How should I enter the data for each subscale.
        Thanks in advance to all of you for your kind attention.

        Saeed

 

[Art Kendall]

Do you have age as a continuous variable?

Gender is a dichotomy so it is okay to treat it as interval variable (like a dummy variable). Since there is only one interval, all intervals are perfectly equal to each other.

Also education is at least ordinal.

It is usually good to try to avoid coarsening your data.
On 12/19/2012 12:05 AM, Saeed Rezaei wrote:

Thanks Kumar for your comments but I dont think Chi-square is appropriate cuz the data from the questionnaire is score (interval data) and only the age, gender, and education are transformed into categories. I can use Chi-square if the data from the questionnaire is also categorical like low, medium, and high i language identity. I dont wanna transform my already interval data to ordinal or nominal data cuz it would culminate in missing information.
What do you think?

On Wed, Dec 19, 2012 at 2:13 AM, Alok Kumar Jha <[hidden email]> wrote:

Saeed
Use Chi-Square Test of association... it allows you to test if there is a
significant relationship between two or more categorical variables....

Thanks & Regards
Alok Kumar
Business Intelligence & Data Warehousing,
Lab Services & Solutions-India,
India Software Lab, EGL Business Park,
Bangalore – 560 071 India
====================================
Lotus Notes: Alok Kumar Jha/India/IBM
Internet address: [hidden email]
Office: 91 80 41777089
Mobile: [phone]

I have no special talents. I am only passionately curious.
(Embedded image moved to file: pic19194.jpg)Silver Redbook Author
(Embedded image moved to file: pic04976.jpg)



From: Saeed Rezaei <[hidden email]>
To: [hidden email]
Date: 12/18/2012 08:13 PM

Subject: Re: Which Statistical test to use?!

Sent by: "SPSSX(r) Discussion" <[hidden email]>

Thanks for your informative comments everybody. I have 1805 participants in
my survey.


On Wed, Dec 19, 2012 at 12:49 AM, Art Kendall <[hidden email]> wrote:
first crosstab age, gender, and language proficiency level.
do you have sufficient numbers in all of the cells to examine the three
way interaction?

then use glm to do a repeated measures anova using as many interaction
terms as your cells sizes allow. The subscales are the repeats.
Art Kendall
Social Research Consultants
On 12/18/2012 2:01 AM, Saeed Rezaei wrote:
Hi all,
I am dubious about which statistical test to use for my research
questions. I would be glad to receive your comments. My research
question is:

Is there any relationship between the Iranian English language
learners' language identity and their age, gender, and language
proficiency level.
The language identity is measured through a validated questionnaire
with 19 items. And the language identity included six subscales in
the questionnaire namely:
1. attachment to persian language
2. pronunciation attitude
3. language and social status
4. L1 use and exposure in the society
5. language knowledge
6. script

Each of the above subscales had 3 to 4 items.

Now the first research question will be transformed into multiple
research questions including:
1. There is no relationship between Iranian English
language learners’ attachment to Persian and their
· gender,
· age, and
· proficiency level
2. There is no relationship between Iranian English
language learners’ pronunciation attitude and their
· gender,
· age, and
· proficiency level
3. There is no relationship between Iranian English
language learners’ language and social status and their
· gender,
· age, and
· proficiency level
4. There is no relationship between Iranian English
language learners’ L1 use/exposure in the society and their
· gender,
· age, and
· proficiency level
5. There is no relationship between Iranian English
language learners’ language knowledge and their
· gender,
· age, and
· proficiency level
6. There is no relationship between Iranian English
language learners’ script/alphabet and their
· gender,
· age, and
· proficiency level





Now....what do you think would be the best statistical test? Do you
think I should use MANOVA? Do not forget that I am after "relation"
not "effect". How should I enter the data for each subscale.
Thanks in advance to all of you for your kind attention.

Saeed

===================== 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

[Saeed Rezaei-2]

Age is categorized into
11-15, 16-20, 21-25, and 26+

On Wed, Dec 19, 2012 at 11:34 PM, Art Kendall <[hidden email]> wrote:

Do you have age as a continuous variable?

Gender is a dichotomy so it is okay to treat it as interval variable (like a dummy variable).  Since there is only one interval, all intervals are perfectly equal to each other.

Also education is at least ordinal. 

It is usually good to try to avoid coarsening your data.

Art Kendall
Social Research Consultants

On 12/19/2012 12:05 AM, Saeed Rezaei wrote:

Thanks Kumar for your comments but I dont think Chi-square is appropriate cuz the data from the questionnaire is score (interval data) and only the age, gender, and education are transformed into categories. I can use Chi-square if the data from the questionnaire is also categorical like low, medium, and high i language identity. I dont wanna transform my already interval data to ordinal or nominal data cuz it would culminate in missing information.
What do you think?

On Wed, Dec 19, 2012 at 2:13 AM, Alok Kumar Jha <[hidden email]> wrote:

Saeed
Use Chi-Square Test of association... it allows you to test if there is a
significant relationship between two or more categorical variables....

Thanks & Regards
Alok Kumar
Business Intelligence & Data Warehousing,
Lab Services & Solutions-India,
India Software Lab, EGL Business Park,
Bangalore – 560 071 India
====================================
Lotus Notes: Alok Kumar Jha/India/IBM
Internet address: [hidden email]
Office: 91 80 41777089
Mobile: [phone]

I have no special talents. I am only passionately curious.
(Embedded image moved to file: pic19194.jpg)Silver Redbook Author
(Embedded image moved to file: pic04976.jpg)



From:   Saeed Rezaei <[hidden email]>
To:     [hidden email]
Date:   12/18/2012 08:13 PM

Subject:        Re: Which Statistical test to use?!

Sent by:        "SPSSX(r) Discussion" <[hidden email]>

Thanks for your informative comments everybody. I have 1805 participants in
my survey.


On Wed, Dec 19, 2012 at 12:49 AM, Art Kendall <[hidden email]> wrote:
  first crosstab age, gender, and language proficiency level.
  do you have sufficient numbers in all of the cells to examine the three
  way interaction?

  then use glm to do a repeated measures anova using as many interaction
  terms as your cells sizes allow.  The subscales are the repeats.
  Art Kendall
  Social Research Consultants
  On 12/18/2012 2:01 AM, Saeed Rezaei wrote:
        Hi all,
        I am dubious about which statistical test to use for my research
        questions. I would be glad to receive your comments. My research
        question is:

        Is there any relationship between the Iranian English language
        learners' language identity and their age, gender, and language
        proficiency level.
        The language identity is measured through a validated questionnaire
        with 19 items. And the language identity included six subscales in
        the questionnaire namely:
        1. attachment to persian language
        2. pronunciation attitude
        3. language and social status
        4. L1 use and exposure in the society
        5. language knowledge
        6. script

        Each of the above subscales had 3 to 4 items.

        Now the first research question will be transformed into multiple
        research questions including:
              1.        There  is  no  relationship between Iranian English
              language learners’ attachment to Persian and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level
              2.        There  is  no  relationship between Iranian English
              language learners’ pronunciation attitude and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level
              3.        There  is  no  relationship between Iranian English
              language learners’ language and social status and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level
              4.        There  is  no  relationship between Iranian English
              language learners’ L1 use/exposure in the society and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level
              5.        There  is  no  relationship between Iranian English
              language learners’ language knowledge and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level
              6.        There  is  no  relationship between Iranian English
              language learners’ script/alphabet and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level





        Now....what do you think would be the best statistical test? Do you
        think I should use MANOVA? Do not forget that I am after "relation"
        not "effect". How should I enter the data for each subscale.
        Thanks in advance to all of you for your kind attention.

        Saeed

[Art Kendall]

did the respondents have to endorse one of those categories, or were they asked their age, and the data coarsened into categories later?

On 12/19/2012 7:36 AM, Saeed Rezaei wrote:

Age is categorized into
11-15, 16-20, 21-25, and 26+

On Wed, Dec 19, 2012 at 11:34 PM, Art Kendall <[hidden email]> wrote:

Do you have age as a continuous variable?

Gender is a dichotomy so it is okay to treat it as interval variable (like a dummy variable). Since there is only one interval, all intervals are perfectly equal to each other.

Also education is at least ordinal.

It is usually good to try to avoid coarsening your data.

Art Kendall
Social Research Consultants

On 12/19/2012 12:05 AM, Saeed Rezaei wrote:

Thanks Kumar for your comments but I dont think Chi-square is appropriate cuz the data from the questionnaire is score (interval data) and only the age, gender, and education are transformed into categories. I can use Chi-square if the data from the questionnaire is also categorical like low, medium, and high i language identity. I dont wanna transform my already interval data to ordinal or nominal data cuz it would culminate in missing information.
What do you think?

On Wed, Dec 19, 2012 at 2:13 AM, Alok Kumar Jha <[hidden email]> wrote:

Saeed
Use Chi-Square Test of association... it allows you to test if there is a
significant relationship between two or more categorical variables....

Thanks & Regards
Alok Kumar
Business Intelligence & Data Warehousing,
Lab Services & Solutions-India,
India Software Lab, EGL Business Park,
Bangalore – 560 071 India
====================================
Lotus Notes: Alok Kumar Jha/India/IBM
Internet address: [hidden email]
Office: 91 80 41777089
Mobile: [phone]

I have no special talents. I am only passionately curious.
(Embedded image moved to file: pic19194.jpg)Silver Redbook Author
(Embedded image moved to file: pic04976.jpg)



From: Saeed Rezaei <[hidden email]>
To: [hidden email]
Date: 12/18/2012 08:13 PM

Subject: Re: Which Statistical test to use?!

Sent by: "SPSSX(r) Discussion" <[hidden email]>

Thanks for your informative comments everybody. I have 1805 participants in
my survey.


On Wed, Dec 19, 2012 at 12:49 AM, Art Kendall <[hidden email]> wrote:
first crosstab age, gender, and language proficiency level.
do you have sufficient numbers in all of the cells to examine the three
way interaction?

then use glm to do a repeated measures anova using as many interaction
terms as your cells sizes allow. The subscales are the repeats.
Art Kendall
Social Research Consultants
On 12/18/2012 2:01 AM, Saeed Rezaei wrote:
Hi all,
I am dubious about which statistical test to use for my research
questions. I would be glad to receive your comments. My research
question is:

Is there any relationship between the Iranian English language
learners' language identity and their age, gender, and language
proficiency level.
The language identity is measured through a validated questionnaire
with 19 items. And the language identity included six subscales in
the questionnaire namely:
1. attachment to persian language
2. pronunciation attitude
3. language and social status
4. L1 use and exposure in the society
5. language knowledge
6. script

Each of the above subscales had 3 to 4 items.

Now the first research question will be transformed into multiple
research questions including:
1. There is no relationship between Iranian English
language learners’ attachment to Persian and their
· gender,
· age, and
· proficiency level
2. There is no relationship between Iranian English
language learners’ pronunciation attitude and their
· gender,
· age, and
· proficiency level
3. There is no relationship between Iranian English
language learners’ language and social status and their
· gender,
· age, and
· proficiency level
4. There is no relationship between Iranian English
language learners’ L1 use/exposure in the society and their
· gender,
· age, and
· proficiency level
5. There is no relationship between Iranian English
language learners’ language knowledge and their
· gender,
· age, and
· proficiency level
6. There is no relationship between Iranian English
language learners’ script/alphabet and their
· gender,
· age, and
· proficiency level





Now....what do you think would be the best statistical test? Do you
think I should use MANOVA? Do not forget that I am after "relation"
not "effect". How should I enter the data for each subscale.
Thanks in advance to all of you for your kind attention.

Saeed

===================== 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

[Saeed Rezaei-2]

The age group were defined a priori and the respondents ticked the related boxes.

On Thu, Dec 20, 2012 at 12:33 AM, Art Kendall <[hidden email]> wrote:

did the respondents have to endorse one of those categories, or were they asked their age, and the data coarsened into categories later?

Art Kendall
Social Research Consultants

On 12/19/2012 7:36 AM, Saeed Rezaei wrote:

Age is categorized into
11-15, 16-20, 21-25, and 26+

On Wed, Dec 19, 2012 at 11:34 PM, Art Kendall <[hidden email]> wrote:

Do you have age as a continuous variable?

Gender is a dichotomy so it is okay to treat it as interval variable (like a dummy variable).  Since there is only one interval, all intervals are perfectly equal to each other.

Also education is at least ordinal. 

It is usually good to try to avoid coarsening your data.

Art Kendall
Social Research Consultants

On 12/19/2012 12:05 AM, Saeed Rezaei wrote:

Thanks Kumar for your comments but I dont think Chi-square is appropriate cuz the data from the questionnaire is score (interval data) and only the age, gender, and education are transformed into categories. I can use Chi-square if the data from the questionnaire is also categorical like low, medium, and high i language identity. I dont wanna transform my already interval data to ordinal or nominal data cuz it would culminate in missing information.
What do you think?

On Wed, Dec 19, 2012 at 2:13 AM, Alok Kumar Jha <[hidden email]> wrote:

Saeed
Use Chi-Square Test of association... it allows you to test if there is a
significant relationship between two or more categorical variables....

Thanks & Regards
Alok Kumar
Business Intelligence & Data Warehousing,
Lab Services & Solutions-India,
India Software Lab, EGL Business Park,
Bangalore – 560 071 India
====================================
Lotus Notes: Alok Kumar Jha/India/IBM
Internet address: [hidden email]
Office: 91 80 41777089
Mobile: [phone]

I have no special talents. I am only passionately curious.
(Embedded image moved to file: pic19194.jpg)Silver Redbook Author
(Embedded image moved to file: pic04976.jpg)



From:   Saeed Rezaei <[hidden email]>
To:     [hidden email]
Date:   12/18/2012 08:13 PM

Subject:        Re: Which Statistical test to use?!

Sent by:        "SPSSX(r) Discussion" <[hidden email]>

Thanks for your informative comments everybody. I have 1805 participants in
my survey.


On Wed, Dec 19, 2012 at 12:49 AM, Art Kendall <[hidden email]> wrote:
  first crosstab age, gender, and language proficiency level.
  do you have sufficient numbers in all of the cells to examine the three
  way interaction?

  then use glm to do a repeated measures anova using as many interaction
  terms as your cells sizes allow.  The subscales are the repeats.
  Art Kendall
  Social Research Consultants
  On 12/18/2012 2:01 AM, Saeed Rezaei wrote:
        Hi all,
        I am dubious about which statistical test to use for my research
        questions. I would be glad to receive your comments. My research
        question is:

        Is there any relationship between the Iranian English language
        learners' language identity and their age, gender, and language
        proficiency level.
        The language identity is measured through a validated questionnaire
        with 19 items. And the language identity included six subscales in
        the questionnaire namely:
        1. attachment to persian language
        2. pronunciation attitude
        3. language and social status
        4. L1 use and exposure in the society
        5. language knowledge
        6. script

        Each of the above subscales had 3 to 4 items.

        Now the first research question will be transformed into multiple
        research questions including:
              1.        There  is  no  relationship between Iranian English
              language learners’ attachment to Persian and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level
              2.        There  is  no  relationship between Iranian English
              language learners’ pronunciation attitude and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level
              3.        There  is  no  relationship between Iranian English
              language learners’ language and social status and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level
              4.        There  is  no  relationship between Iranian English
              language learners’ L1 use/exposure in the society and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level
              5.        There  is  no  relationship between Iranian English
              language learners’ language knowledge and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level
              6.        There  is  no  relationship between Iranian English
              language learners’ script/alphabet and their
                 ·         gender,
                 ·          age, and
                 ·         proficiency level





        Now....what do you think would be the best statistical test? Do you
        think I should use MANOVA? Do not forget that I am after "relation"
        not "effect". How should I enter the data for each subscale.
        Thanks in advance to all of you for your kind attention.

        Saeed