HU Credits:
6
Degree/Cycle:
2nd degree (Master)
Responsible Department:
criminology
Semester:
Yearly
Teaching Languages:
Hebrew
Campus:
Mt. Scopus
Course/Module Coordinator:
Dr. Barak Ariel
Coordinator Office Hours:
Tuesday, 09:00-10:00
Teaching Staff:
Dr. Barak Ariel Ms. chava neumann Ms. Shaked kovalsky
Course/Module description:
This course is designed to impart basic knowledge of quantitative criminology, evidence based policy and milestones in applied criminology. The course incorporates on statistics, research methods and computer applications.
Course/Module aims:
The aim of the course is to improve students' ability to read and critically assess scientific literature and to become familiarized with evidence-based policy
Learning outcomes - On successful completion of this module, students should be able to:
Evaluate, compare, and review the scientific-empirical articles criminology; tools for implementing evidence-based policy; familiarity with the most recent milestones in applied criminology
Attendance requirements(%):
80% of tutorials (you may not attend up to 3 tutorials in each semester)
Teaching arrangement and method of instruction:
Online + face-to-face
Course/Module Content:
1.Introduction
2.evidence-based policy: linking theories and research methods
3.Classifications of Research Methods and the Scientific Process
4.Variables and Measurement
5.Reliability and Validity
6.Causality in Science
7.Evidence-Based Policy: Tracking, Testing and Tracking
8.Tracking of Police Resources
9.Testing and the Maryland Scale
10.Tracking Police Response to Crime
11.Measures of Crime, Victimization and Deviance
12.The Field Study: Funding, Access to Data, and Coalition for Empirical Research
13.Sampling, Samples and Sampling Techniques
14.Hypothesis Testing, Statistical Significance and Inferential Statistics for Evidence Based Policy
15.Sample Size, Effect Size and Statistical Power
16.Selecting the Research Design
17.Selecting the Research Tool
18.Selecting the Statistical Test
19.Surveys and Interviews Methodology
20.Archival and Police Data Analysis
21.Forecasting and Predicting Behavior
22.Systematic Reviews and Meta-Analysis
23.Summary
24.SPSS
Required Reading:
Reading materials will be provided during the course
Additional Reading Material:
Course/Module evaluation:
End of year written/oral examination 80 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 0 %
Assignments 20 %
Reports 0 %
Research project 0 %
Quizzes 0 %
Other 0 %
Additional information:
Final grade:
80% final exams (40% in each Semester)
20% assignments
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