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Syllabus ADVANCED APPLIED STSTISTICS IN CRIMINOLOGY A - 61798
עברית
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Last update 08-10-2017
HU Credits: 3

Degree/Cycle: 2nd degree (Master)

Responsible Department: criminology

Semester: 1st Semester

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
Ms. Hagit Sabo Brants

Course/Module description:
An advanced statistics course for criminology students

Course/Module aims:
The purpose of this course is to familiarize students with advanced 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. In particular, the course will introduce the linear and logistic regression models.

Learning outcomes - On successful completion of this module, students should be able to:
To test research hypotheses with linear and logistics regression models; Interpret and present the results of linear and logistics regressions; Evaluate studies that use linear and logistics regression models; Process data using the SPSS and Excel software.

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. Measures of association
2. Pearson correlation
3. Simple linear regression
4. Observations and predicted value
5. Assumptions of linear regression
6. Variance explained
7. Significance of regression coefficients
8. Multivariate linear regression
9. Control
10. Multicollinearity
11. Dummy variables
12. Interactions
13. Logistic regression

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

Additional Reading Material:
אייזנבך, ר. (1992). סטטיסטיקה ללא סטטיסטיקאים. ירושלים: הוצאת אקדמון.

זמיר, ש.; בייט-מרום, ר. (2005). מבוא לסטטיסטיקה לתלמידי מדעי החברה – א', יחידות 1-5. הוצאת האוניברסיטה הפתוחה.

שריד, מ.; שריד, י. (2011). המדריך העברי למשתמש בתכנת ה-SPSS ל-Windows. קרית חיים: מכון שריד – שירותי מחקר והדרכה.

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 15 %
Assignments 0 %
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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