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Syllabus ADVANCED APPLIED STATISTICS IN CRIMINOLOGY B - 61880
עברית
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Last update 19-09-2024
HU Credits: 3

Degree/Cycle: 2nd degree (Master)

Responsible Department: Criminology

Semester: 2nd Semester

Teaching Languages: Hebrew

Campus: Mt. Scopus

Course/Module Coordinator: Dr. Naomi Kaplan-Damary

Coordinator Email: naomi.kaplan@mail.huji.ac.il

Coordinator Office Hours: By appointment

Teaching Staff:
Dr. Naomi Kaplan-Damary,
Ms. OrTal Shyla Baron

Course/Module description:
The course will focus on research designs and statistical methods commonly used in criminological research. Students are expected to develop a deeper understanding of statistical analysis in order to better comprehend research literature, and to learn methods that can be employed in their own academic work.

Course/Module aims:
The course aims to encourage a critical approach while fostering the understanding of cutting-edge statistical methods in social research.

Learning outcomes - On successful completion of this module, students should be able to:
Upon completion of the course, students will be able to fit statistical models to various types of data, and to analyze and interpret the results in a critical fashion.

Attendance requirements(%):
80%

Teaching arrangement and method of instruction: Lecture and exercise

Course/Module Content:
How to Use Stata?

Model Selection, Downloading Data, Reading Codebooks,
Understanding Weights and Stratified Samples

Logistic Regression

Multinomial Logistic Regression

Poisson Regression

Negative Binomial Regression

Multilevel Regression Models

Randomized Experiments

Propensity Score Matching

Meta analysis

Panel Data and Difference in Difference

Required Reading:
וייסבורד, דיויד ופקטור, רוני (2019) סטטיסטיקה יישומית למדעי החברה ומשפטים, ירושלים: נבו, 2019.


Angrist, Joshua & Pischke, Jörn-Steffen (2015) Mastering 'Metrics: The Path from Cause to Effect, Princeton: Princeton University Press.

Apel, Robert J. & Sweeten, Gary (2010). Propensity Score Matching in Criminology and Criminal Justice, In: Alex R. Piquero & David Weisburd, eds., Handbook of Quantitative Criminology. New York: Springer, pp. 543-562.

Weisburd, David, et al. (2020-2022) Statistics in Criminal Justice, 5th ed., 2 vols. New York, NY: Springer.


Additional Reading Material:

Grading Scheme :
Written / Oral / Practical Exam / Home Exam 80 %
Submission assignments during the semester: Exercises / Essays / Audits / Reports / Forum / Simulation / others 20 %

Additional information:
None
 
Students needing academic accommodations based on a disability should contact the Center for Diagnosis and Support of Students with Learning Disabilities, or the Office for Students with Disabilities, as early as possible, to discuss and coordinate accommodations, based on relevant documentation.
For further information, please visit the site of the Dean of Students Office.
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