PSY510 STATISTICS, METHODS, AND ETHICS IN PSYCHOLOGICAL RESEARCH II
| Course Code: | 2330510 |
| METU Credit (Theoretical-Laboratory hours/week): | 4 (3.00 - 2.00) |
| ECTS Credit: | 8.0 |
| Department: | Psychology |
| Language of Instruction: | English |
| Level of Study: | Graduate |
| Course Coordinator: | Prof.Dr. REYHAN BİLGİÇ |
| Offered Semester: | Spring Semesters. |
Course Objectives
At the end of this course, the students will learn:
- the conceptual and statistical basis of multivariate analyses such as discriminant function analysis, cluster analysis and structural equation modeling,
- the conceptual and basic statistical basis of multilevel modeling,
- advancements in the field of statistical techniques applied to psychological research, such as dominance analysis and using intraclass correlations.
At the end of this course, the students will gain skills related to:
- determining what analyses to conduct when presented with a research question
- conveying statistical results at a level of sophistication that would be accepted by a top journal
- using statistical software such as SPSS and EQS.
Course Content
This course covers advanced multivariate statistics used in psychological research such as discriminant function analysis,canonical correlation,cluster analysis,and structural equation modeling techniques in the assessment of factor structures,path models,and measurement invariance.The application of these techniques in combination with the traditional pretest-posttest designs and control of variables in multivariate designs will be reviewed together with the relevant computer software.
Course Learning Outcomes
Students, who passed the course satisfactorily will be able to:
- identify what multivariate statistical analyses would suit research problems
- describe what each multivariate analyses is used for and what information they can provide about data
- compare and contrast the advantages and disadvantages of various statistical techniques
- evaluate the meaning of statistical output to reach conclusions related to research questions
- report the output of statistical analyses.
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