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:
Upon successful completion of this course, the student will be able to:

Interpret data using univariate, bivariate, and multivariate statistical techniques
Compute univariate, bivariate, and some multivariate statistics from raw data.
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.
Interpret statistical techniques used in published research and apply them to address public policy problems in criminal justice and criminology.
Develop proper data management techniques.
Explain how research design impacts data analysis options and will make.
Develop, refine, and apply skills to read, explain, and critique modern social science research.

Learner Outcomes Approval Date:
Approved Fall 2017

Anticipated Course Offering Terms and Locations: