Quantitative Analysis Assignment

Perform a quantitative analysis using SPSS . The dataset includes data on structural characteristics from the U.S. Census Bureau, crime data from the UCR, and CJ system data on incarceration, drug arrests, and law enforcement presence.

1. You will need to choose two dependent variables for this analysis. The first dependent variable will be one (1) of the available crime types in the data (i.e. homicide, robbery, burglary, or auto theft). The second dependent variable must be an index of either violent (homicide and robbery), property (burglary and auto theft), or total crime (all four).
2. You will need to choose two (2) independent variables that you think may have an influence on crime rates , and be able to describe why those independent variables might be related to crime.
3. You will need to choose one (1) control variable (for each of the independent variables) that could be used either as an intervening variable , as an extraneous variable , or as a specification variable. You will also need to have an explanation for why this variable might have the expected effect.
4. Obtain univariate statistics on each of the variables you have chosen, as well as a histogram and box plot of each. Present the statistics in a table and discuss the distribution ( central tendency , dispersion, skewness) of each variable. Also indicate which cities might be outliers for these variables. You do not need to include the histograms or boxplots in your paper.
5. If there is missing data in the variables you choose, perform a mean replacement and use the new variable for your analysis. Be sure to discuss which variables have missing data, and how much is missing.
6. Recode your data into ordinal (categorical) measures for bivariate analysis. Be sure to discuss what cutoff points you used to recode your data (i.e. what range of values are in each category?).
7. Perform a chi-square test between your dependent variables (step 1) and your independent variables (step 2). NOTE: this will require four chi-square tests…2 dependent variables X 2 independent variables = 4 tests. You will need to report the results of these tests (i.e. chi-square and gamma), and include the crosstabulation tables in your output.
8. Perform a multivariate chi-square test to determine if the control variables you chose (step 3) have the expected relationship between your independent variables and dependent variables. This will require 4 test as well (one for each combination of independent and dependent variables ). You will need to report the results of these tests (i.e. chi-square and gamma), and include the crosstabulation tables in your output.
9. Finally, select only the cities that were NOT outliers in your variables (independent and dependent) and repeat the analyses. You will need to report the values of chi-square and gamma, and discuss if the substantive findings change (i.e. the significance of a relationship, or the direction/strength). However, you do not need to include the crosstab tables.

Please note that you need to include nine 9 tables in your output: 1 descriptive statistics table , 4 crosstab tables from step 7, and 4 crosstab tables from step 8. The values of chi-square and gamma can be reported in your text, rather than in the tables.

Price: $34.42

Solution: The downloadable solution consists of 23 pages, 1142 words and 40 charts.
Deliverable: Word Document