Analyze the variation in trust in the legal system separately by age gender educational attainment economic activity and migration background

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SOCIOLOGY DEPARTMENT
Assignment Submission Form - Individual Assignment

Question 1

Analyze the variation in trust in the legal system separately by age, gender, educational attainment, economic activity and migration background. Present the regression coefficients and any other relevant information for each of the five regression models. Provide an interpretation of this information, including the relative magnitude of the effects.

Question 2

Instead of regressing each of the independent variables on trust in the legal system separately, include all the independent variables in one multiple regression model. How do these results differ from your conclusions based on the regressions with only one independent variable? Give some possible explanations for these differences.

It is possible that the effect of age on trust in the legal system varies by migration background (i.e. whether born in Ireland or not). Test this hypothesis using interaction analysis and discuss the results.

HINT: You could create two dummy variables from Brncntr, one where the reference category is “born in Ireland” and another where the reference category is “foreign born”. Creating two corresponding interaction terms and entering them in separate regressions would allow you to estimate the ‘main effect’ of age separately for those who are born in Ireland and the rest, with the corresponding p-values.

Question 3 

Recode trust in the legal system into a binary variable, justify your choice of the cut-off point and estimate a logistic regression model with age, gender, educational attainment, economic activity and migration background as predictors. Present the results in a table and interpret the findings.

Graphs may be pasted directly from SPSS, but tables should be edited. Tables should include meaningful titles and variable labels. Include the data source underneath the tables (i.e. the name and year of the survey). Numbers should be rounded to two or three decimal places. Make it clear which countries are included in the graphs and tables. Marks will be deducted for a bad presentation.

Pay close attention to the reporting and interpreting the results of your statistical tests. Write in full sentences. It is good practice to (re)state the hypothesis you set out to test, then report whether your results supported it, then present the results that allowed you to draw this conclusion. Where relevant, state the direction of a difference (i.e. positive or negative).

 

When reporting on the statistical significance of your findings, use asterisks in the tables (i.e. *** p<0.001; ** p<0.01; * p<0.05) and refer to the significance levels in the text. Use the most conservative (lowest) p-value you can. For example, if the p-value is between 0.01 and 0.05, it’s p<0.05, but if it is between 0.001 and 0.01, it is p<0.01, not p<0.05. If the p-value is less than 0.001 (e.g. 0.000), it is p<0.001. 

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