Create a table which describes the distributions of your independent,dependent, and mediator con founder variables.


2000 words, excluding references but including tables, and graphs (USE SPSS FOR GRAPHS). NB: The report should use multiple regression. Therefore, it is important that you choose a continuous dependent variable.

• Form a sociological hypothesis/ research expectation about inequality in health, pensions,health behaviours and well-being and their link to stratification variables such as class,ethnicity, and gender

– You should aim to build on your Report plan however, it can be possible that your thinking has evolved and you instead choose other data – describe in a sentence or two why you needed to use other data.

– Link the hypothesis (es)/ research expectations and to existing literature (from class and/or additional sociological scholarship)

– Write a brief Literature review that sums up what previous studies have done, max 300-400 words

– Posit a potential confounder / mediator / moderator in this relationship. You are encouraged mto posit a moderator as this is more challenging, and extra points will be given for attempting this.

– Describe the data that you will be using and the variables you are going to focus on, 150-max 200 words, post a link to the UK data Service if the data can be found there or from other websites from which it can be downloaded). We usually include such sections in papers because they mean that our analysis can be replicated.

C. Test your hypothesis with data

a. Create a table which describes the distributions of your independent,dependent, and mediator/con founder variables. It is important to demonstrate.

i. appropriate variable choice and coding

ii. Appropriate format of descriptive statistics

iii. correct interpretation of table

b. Create a table of step wise regression results

i. At least two models: (1) simple regression, (2): 1 + one mediator/confounder main effect.

If a moderator is chosen, you will also have to provide results for a third model: 2 + interaction effects

ii. Correct interpretation of each model, and changes in coefficients between models

D. Drawing conclusions from your work

a. Is your hypothesis supported?

b. Can you provide an interpretation of why or why not?