Graduate Education Institute · Clinical Psychology · Doctorate
Course Objective
The aim of this course is to provide the ability to design, conduct and evaluate psychological research. Specifically identified goals in this framework are: (1) gain skills in designing psychology research; (2) gaining the ability to assess current psychological research; (3) gain skills in writing a research proposal; (4) acquiring familiarity with reporting research results and publication process; and (5) understanding research ethics.
Course Content
Topics are explained by the lecturer and article review presentations are carried out by the students. Students are encouraged to share their thoughts and to think critically about the topics in the course. The content of the course is based on the needs of the students and on current scientific developments. Examinations cover both reading texts and discussions within the course.
Required Resources
Hayes, A.F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Publications.
Byrne, B. M. (2001). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Lawrence Erlbaum Associates Publishers.
Course Learning Outcomes
- Being able to understand advanced psychology research
- Being able to design an advanced psychology research
- Being able to conduct an advanced psychology research
Core Area Distribution
Teaching Methods
Assessment & Evaluation
ECTS / Workload
| Activity | Quantity | Duration (h) | Total Workload |
|---|---|---|---|
| Course Duration (Including Exam Week) | 14 | 3 | 42 |
| Out of Class Study Period | 14 | 5 | 70 |
| Midterm | 0 | 0 | 0 |
| Quiz | 0 | 0 | 0 |
| Assignment | 1 | 30 | 30 |
| Practice | 0 | 0 | 0 |
| Final | 1 | 40 | 40 |
Course Schedule
| Week | Subject | Preparation |
|---|---|---|
| 1 | • Parametric and Nonparametric Tests • Tests of Causal Hypotheses • Tests of Relational Hypotheses | Syllabus |
| 2 | • Regression • Linear Regression • Reporting • Multicollinearity | Tabachnick, B. G., & Fidell, L. S. (2013). Using Multivariate Statistics (6th ed.). Boston, MA Pearson. - References - Scientific Research Publishing. |
| 3 | • Linear Hierarchical Mediator Regression Analysis • SPSS and Output Reading • Sobel Z Test | Tabachnick, B. G., & Fidell, L. S. (2013). Using Multivariate Statistics (6th ed.). Boston, MA Pearson. - References - Scientific Research Publishing. |
| 4 | • Linear Hierarchical Moderator Regression Analysis • SPSS and Output Reading • Reporting | Tabachnick, B. G., & Fidell, L. S. (2013). Using Multivariate Statistics (6th ed.). Boston, MA Pearson. - References - Scientific Research Publishing. |
| 5 | • SPSS Process Macro Mediator Analysis • SPSS Process Macro Moderator Analysis • SPSS and Output Reading • Reporting | Hayes, A.F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Publications. |
| 6 | • SPSS Process Macro Moderated Mediation Analysis • SPSS and Output Reading • Reporting | Hayes, A.F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Publications. |
| 7 | • Logistic Regression • SPSS and Output Reading • Reporting | Hayes, A.F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Publications. |
| 8 | Mid-term exams | Mid-term exams |
| 9 | • AMOS and Structural Equation Modeling (SEM) • Concepts and Symbols in SEM • Assumptions for SEM • Fit Indices • Data Files | Byrne, B. M. (2001). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Lawrence Erlbaum Associates Publishers. |
| 10 | • Confirmatory Factor Analysis • Model Drawing with AMOS Program – Single Factor Model • Determining and Analyzing Analysis Outputs • First Level Multifactor CFA • Reporting CFA Results • Second Level CFA | Byrne, B. M. (2001). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Lawrence Erlbaum Associates Publishers. |
| 11 | • Path Analysis • Testing of the Measurement Model • Testing the Structural Model • Mediation Effect and Bootstrap | Byrne, B. M. (2001). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Lawrence Erlbaum Associates Publishers. |
| 12 | • Advanced Applied SEM with AMOS • Calculation of CR, AVE, MSV and ASV • Measurement Model Testing with Alternative Models Strategy | Byrne, B. M. (2001). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Lawrence Erlbaum Associates Publishers. |
| 13 | • Path Analysis with Observed Variables • Moderation Analysis | Byrne, B. M. (2001). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Lawrence Erlbaum Associates Publishers. |
| 14 | • Multiple Group Applications (Moderation Analysis with Categorical Variables) • Multiple Group Applications (Measurement Equivalence) | Byrne, B. M. (2001). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Lawrence Erlbaum Associates Publishers. |
| 15 | General review | Lecture notes |
| 16 | Final exams | Final exams |