Propose and test an interesting research question that can be answered using a chi-squared test of independence
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Propose and test an interesting research question that can be answered using a chi-squared test of independence

Use the data set “class questionnaire.three timepoints.203.F20” to answer the following questions about students who completed the “initial class questionnaire.203.f20,” the “second and third class questionnaire.203.F20” (posted on Canvas).  In addition to answering the questions below, please also save and attach your syntax. Note about syntax: please attach a “clean” copy that includes only the analyses you report on here – not analyses you did that you don’t report or any duplicate analyses.  Also, please copy and paste your syntax to the bottom of this document, rather than sending a separate syntax document.  

1. Propose and test an interesting research question that can be answered using a chi-squared test of independence.

a. State the research question and why it is appropriate for this test. Also clearly identify your variables and their scale of measurement. NOTE: Be sure to choose variables that yield frequencies in each cell (n should be > 5 in each cell) and that lead to actual test statistics.

b. What do expected frequencies tell us?

c. Do a formal write up (step 6).  Also paste in the output tables that you used to obtain any numbers in your formal write-up. 

d. Is it appropriate to conduct such a statistical test (in other words, are the assumptions met)?  Explain why or why not (and you can paste in SPSS output that supports your explanation). 

e. What error could you be making? Taking everything into consideration, do you think you’ve made that error? Explain why or why not.

2. Propose and test an interesting research question that can be answered using a Pearson’s correlation. NOTE: One of the variables MUST be a total score of one of the 3 questionnaires on the initial questionnaire.

a. State the research question and why it is appropriate for this test. Also clearly identify your variables and their scale of measurement. 

b. Do a formal write up (step 6).  Also paste in the output table that you used to obtain any numbers in your formal write-up. 

c. Explain in words what the r2 value for this test tells you, in terms of your variables. 

d. Is it appropriate to conduct such a statistical test (in other words, are the assumptions met)?  Explain why or why not (and you can paste in SPSS output that supports your explanation). 

e. What error could you be making? Taking everything into consideration, do you think you’ve made that error? Explain why or why not. 

3. Propose and test an interesting research question that can be answered using multivariate regression (include two or more X variables that predict one Y variable). NOTE: Your DV MUST be a total score of one of the two main questionnaires (e.g., life satisfaction or perceived stress).

a. State the research question and why it is appropriate for this test. Also clearly identify your variables and their scale of measurement. NOTE: Choose carefully – you want to choose a Y variable that actually makes sense as an outcome variable (rather than a predictor variable).  

b. Do a formal write up (step 6).  Also paste in the output tables that you used to obtain any numbers in your formal write-up. 

c. Please write out the full regression equation. 

d. Is it appropriate to conduct such a statistical test (in other words, are the assumptions met)?  Explain why or why not (and you can paste in SPSS output that supports your explanation).

e. What error could you be making? Taking everything into consideration, do you think you’ve made that error? Explain why or why not. 

4. In a briefly paragraph, describe what these 3 analyses have told you about our class (I’m not asking for a formal APA write-up here).  How do you interpret your findings?  Are they surprising to you – why or why not?

class questionnaire.three timepoints.203.F20

Hint
" A chi-square test measures the difference between the observed and expected frequencies of variables. These variables can be numerical or non-numerical. The test depends on:a) the size of the difference between actual & observed valuesb) the degrees of freedomc) the samples size"...

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