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Syllabus Introduction to statistics in criminology - 61797
עברית
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Last update 08-10-2017
HU Credits: 6

Degree/Cycle: 1st degree (Bachelor)

Responsible Department: criminology

Semester: Yearly

Teaching Languages: Hebrew

Campus: Mt. Scopus

Course/Module Coordinator: Dr. Roni Factor

Coordinator Email: rfactor@mail.huji.ac.il

Coordinator Office Hours: Please coordinate appointments

Teaching Staff:
Dr. Ron Factor
Mr. Eran Itskovich
Ms. Shaked kovalsky

Course/Module description:
An introduction to statistics course for criminology students

Course/Module aims:
The purpose of this course is to familiarize students with basic concepts in statistics. The students will learn methods and statistical tests that will enable them to assess studies carried out by others as well as to carry out basic independent research.

Learning outcomes - On successful completion of this module, students should be able to:
Evaluate studies that use basic statistical methods; Make a thoughtful use of statistical measures, calculate them and interpret their meaning; Process data using the SPSS and Excel software and interpret their outputs.

Attendance requirements(%):
100% - Students are required to attend all lectures and lab sessions

Teaching arrangement and method of instruction: Lectures and lab sessions

Course/Module Content:
1. SPSS Programming
2. Levels of measurement
3. Representing and displaying data
4. Measures of central tendency
5. Measures of dispersion
6. Probability
7. The logic of statistical inference
8. Steps in statistical test
9. The normal distribution
10. Z-test
11. Single sample t-test
12. Two sample t-test
13. Confidence intervals
14. Analysis of variance
15. Power analysis
16. Measures of association
17. Pearson coefficient
18. Linear regression

Required Reading:
Weisburd D. & Britt C. (2014). Statistics in Criminal Justice. New York: Springer

Additional Reading Material:
Agresti, A., & Finlay, B. (2009). Statistical Methods for the Social Sciences. New Jersey, NY: Prentice Hall.

Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics. London, UK: SAGE Publications.

Fox J. (2008). Applied Regression Analysis and Generalized Linear Models. Los Angeles: Sage.

Kleinbaum, D., & Lawrence, I. (1988). Applied Regression Analysis and Other Multivariable Methods. Boston, MA: PWS-KENT Publishing Company.

Welkowitz, J. (2012). Introductory Statistics for the Behavioral Sciences. Wiley: Hoboken, N.J.

Course/Module evaluation:
End of year written/oral examination 85 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 0 %
Assignments 15 %
Reports 0 %
Research project 0 %
Quizzes 0 %
Other 0 %

Additional information:
 
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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