PSY5606 ADVANCED JOB ANALYSIS & PERFORMANCE APPRAISAL
| Course Code: | 2335606 |
| 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: | |
| Offered Semester: | Fall Semesters. |
Course Objectives
This course is designed to be both a theoretical and an applied one in nature. The main objective is to cover various methods and issues concerning job analysis (JA) and performance management (PM). The course is comprised of two main parts. The first part focuses on the process of job analysis and competency modeling, different techniques of job analysis, and the empirical literature on job analysis. The focus of the second part will be on both basic theoretical and empirical issues related to performance management and some emerging topics, such as talent management in work organizations. Where relevant, emphasis will be on emerging trends and topics such as remote work and AI, as they apply to JA and PM.
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
- Knowledge about work-oriented, worker-oriented, and hybrid job analytic approaches
- Knowledge about data collection methods in job analysis
- Skills in determining how to tailor job analysis methods to currently changing trends (such as AI, remote work, and sustainability)
- Knowledge about competency modeling as a performance appraisal and management technique
- Skills in determining how to tailor performance management to currently changing trends (such as AI, remote work, and sustainability)
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