LAJ 536 - Statistics and Data Analysis

Description:
Course will cover quantitative data analysis with an emphasis on univariate, bivariate, and multivariate statistical techniques typically used in criminal justice and criminological research. Course will not have an established scheduling pattern.

Prerequisites:
Prerequisite: admission to the master of science program in law and justice.

Credits:
(5)

Learner Outcomes:

Students will interpret data using univariate, bivariate, and multivariate statistical techniques
Students will compute univariate, bivariate, and some multivariate statistics from raw data.
Students will be able to explain the logic of various statistical techniques used in criminology. Explanations will incorporate the weaknesses and strengths of different techniques as well as applying the techniques to address research questions.
Students will interpret statistical techniques used in published research and apply them to address public policy problems in criminal justice and criminology.
Students will develop proper data management techniques.
Students will be able to explain how research design impacts data analysis options and will make.
Students will develop, refine, and apply skills to read, explain, and critique modern social science research.

Learner Outcomes Approval Date:
Approved Fall 2017