Re: Which Statistical test to use?!

Posted by Art Kendall on Dec 19, 2012; 1:33pm
URL: http://spssx-discussion.165.s1.nabble.com/Which-Statistical-test-to-use-tp5717005p5717050.html

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

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