UCT Psychology Honours Statistics – Hierarchical Linear Model – Statistics Assignment Help

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Assignment Task :

Question 1

A study was conducted in the USA to investigate whether wealth inequality (measured by the Gini Index) predicts hate crimes at the state level. Data from this study is contained in the hate_crimes.csv file, with variable descriptions contained in the README_hate_crimes word doc.

Run a hierarchical linear model to assess whether wealth inequality predicts hate crimes after controlling for other factors (decide on what factors you think should be controlled for; on what basis you may ask? some reading could help, or just use some common sense). Start, as always, by looking at suitable descriptive statistics and graphics.  Are there any differences?  Do the results of the linear model support this interpretation? Are there any issues with respect to residuals, and other diagnostic tests, that we should be concerned about? Consider applying transformations, if required. Report on the model building process and model findings. 

Optional advanced section 

Question 2

Apply a cross-validation method to the final model you derived in Question 1 to assess the generalizability of model findings (Note: First separate the dataset into a training and testing set – you can use the commands sample_frac(), and setdiff() to achieve this). 

 

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