PSY535 ADVANCED JOB ANALYSIS&PERFORM. APPRAISAL
Course Code: | 2330535 |
METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
ECTS Credit: | 8.0 |
Department: | Psychology |
Language of Instruction: | English |
Level of Study: | Graduate |
Course Coordinator: | Prof.Dr. HAYRİYE CANAN SÜMER |
Offered Semester: | Fall Semesters. |
Course Objectives
Course Content
This course has two main segments. The first segment mainly focuses on the process of job analysis, (e.g., worker-oriented and job-oriented). The second segment covers the theoretical and practical aspects of performance appraisal systems in work organizations, (e.g., needs analysis, cognitive models of performance appraisal, development of rating systems, rating biases, and use of performance appraisal data in organizational decisions making).
Course Learning Outcomes
Program Outcomes Matrix
Level of Contribution | |||||
# | Program Outcomes | 0 | 1 | 2 | 3 |
1 | Skills to understand and successfully employ the latest and most advanced research and data analysis methods and techniques. | ✔ | |||
2 | Knowledge of the latest theoretical and empirical literature in psychology. | ✔ | |||
3 | Skills to conduct research and critically evaluate the important literature on any topic of interest related to psychology or other relevant disciplines. | ✔ | |||
4 | Awareness about the novel information in light of the theoretical knowledge gained and knowledge to develop advanced research topics and questions. | ✔ | |||
5 | Skills to develop and carry out a research project from beginning to end in light of the formulated research questions using the accumulated knowledge from relevant literature and methods. | ✔ | |||
6 | Awareness of conducting research, publishing, and application activities in light of ethical principles and values. | ✔ | |||
7 | Skills to work independently as an individual and as part of a team. | ✔ | |||
8 | Skills to communicate effectively, both in written and oral forms of English and Turkish, during scientific activities. | ✔ |
0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution