HU Credits: 3

Degree/Cycle: 2nd degree (Master)

Responsible Department: Business Administration

Semester: 2nd Semester

Teaching Languages: Hebrew

Campus: Mt. Scopus

Course/Module Coordinator: Shaul Oreg

Coordinator Email: oreg@huji.ac.il

Coordinator Office Hours: Thursday, 9:00-10:00, please schedule in advance

Teaching Staff:
Prof Shaul Oreg

Course/Module description:
Students in the course will learn about key research approaches and methods for research in Organizational Behavior. The course involves a hands-on approach. In addition to theoretical concepts that will be covered, students will also take part in conducting research-oriented and data analysis tasks.

Course/Module aims:
1. Provide students with the fundamental knowledge of research methods and design used in organizational behavior.
2. Facilitate students understanding for how using valid scientific methods can improve and create valuable organizational knowledge in general and in the field of organizational behavior in particular.
3. Guide and mentor students in developing, completing, and presenting a valid research.

Learning outcomes - On successful completion of this module, students should be able to:
* Critically analyze scientific claims made in popular and academic media
* Collect their own data using a variety of strategies
* Analyze quantitative data using a statistical software
* Interpret the results and derive practical conclusions

Attendance requirements(%):
80%

Teaching arrangement and method of instruction: Lectures (introduction to theoretical aspects of the analyses), class exercises
Practical classes (introduction to a computer-based data analysis with statistical software SPSS)

Course/Module Content:
Introduction: overview of the research process in organizational behavior and introduction to basic terminology (validity, reliability, research design).
Questionnaire development
Research strategies for data analyses:
Structural analyses (analysis of correlations, factor analysis)
Hypotheses analyses (regression analysis, analysis of variance (ANOVA).

Required Reading:
None

Additional Reading Material:
See the course syllabus

Grading Scheme :
Essay / Project / Final Assignment / Home Exam / Referat 50 %
Submission assignments during the semester: Exercises / Essays / Audits / Reports / Forum / Simulation / others 25 %
Mid-terms exams 25 %

Additional information:
This "syllabus" is a brief summary of the main features and requirements of the course. It does not replace the full syllabus that can be accessed on the course web site. The full syllabus should be sought for an updated description of the course description and requirements.