| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Advanced Research Techniques in Health Management | SKY601 | Turkish | Compulsory | 3 + 0 | 3.0 | 10.0 |
| Prerequisite Courses | |
| Course Level | Graduate |
| Mode of delivery | Theoretical and Presentation |
| Course Coordinator | Prof. Dr. Yalçın KARAGÖZ |
| Instructor(s) | Prof. Dr. Yalçın KARAGÖZ (Güz) |
| Goals | Purpose of this Lesson; Basic Information Used in Scientific Research Concepts, Reliability, Validity, Scale Types and Scale Development, Purpose, Process and Hypothesis Testing in Scientific Research, Preparation and Presentation of the Research Project, Sampling, Primary Data (Survey, Interview, Observation) and Secondary Data, Quantitative Analysis, Statistical Methods Specific to the Field of Health, Qualitative Research and Qualitative Analysis, Mixed Methods Research, Preparation of the Research Report, Citation and Citation Methods, Research Ethics Collecting, Analyzing and Interpreting Data Related to |
| Course Content | Basic Information Used in Scientific Research Concepts, Reliability, Validity, Scale Types and Scale Development, Purpose, Process and Hypothesis Testing in Scientific Research, Preparation and Presentation of the Research Project, Sampling, Primary Data (Survey, Interview, Observation) and Secondary Data, Quantitative Analysis, Statistical Methods Specific to the Field of Health, Qualitative Research and Qualitative Analysis, Mixed Methods Research, Preparation of the Research Report, Citation and Citation Methods, Research Ethics Topics will be explained |
| # | Öğrenme Kazanımı |
| 1 | Student; Basic Information Used in Scientific Research Concepts, Reliability, Validity, Scale Types and Scale Development, Purpose, Process and Hypothesis Testing in Scientific Research, Preparation and Presentation of the Research Project, Sampling, Primary Data (Survey, Interview, Observation) and Secondary Data, Quantitative Analysis, Statistical Methods Specific to the Field of Health, Qualitative Research and Qualitative Analysis, Mixed Methods Research, Preparation of the Research Report, Citation and Citation Methods, Research Ethics will be able to collect, analyze and interpret data related to the subjects |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Basic Information Concepts Used in Scientific Research (Basic Definitions, Variables, Scale Levels), Reliability (Basic Concepts of Reliability, Reliability Coefficients, Methods for Determining Reliability) | Interview, Practice, Research |
| 2. Week | Validity (Validity Types, Relationship Between Reliability and Validity), Scale Types and Scale Development | Interview, Research, Practice |
| 3. Week | Purpose, Process and Hypothesis Testing in Scientific Research, Preparation and Presentation of the Research Project, Sampling and Sampling Methods | Practice, Interview, Research |
| 4. Week | Primary Data (Survey, Interview, Observation) and Secondary Data | Interview, Research, Practice |
| 5. Week | Introduction to Quantitative Analysis (Descriptive Statistics, Normality, Graph Drawings, z and t Tests, Variance Analysis | Interview, Research, Practice |
| 6. Week | Non-parametric Tests (Analysis of Single Sample Data, Analysis of Two Independent Samples, Analysis of More than Two Independent Samples, Analysis of Two Related (Conjugate-Pair) Samples, Analysis of More than Two Related Samples, Chi-Square) | Interview, Practice, Research |
| 7. Week | Non-parametric Tests (Correlation Coefficients (Nominal Scale Correlation Coefficients, Ordinal Scale Correlation Coefficients, Eta Coefficient, Kappa, Risk and McNemar Tests, Chochran's and Mantel-Haenszel Statistics Test)) | Research, Practice, Interview |
| 8. Week | Regression and Correlation Analysis (Basic Concepts of Regression, Estimation in Bivariate Regression Model, Correlation Analysis, Multivariate Regression Analysis), Logistic Regression Analysis, Factor Analysis, Clustering Analysis, Covariance Analysis (ANCOVA), Canonical Correlation Analysis between Sets | Interview, Research, Practice |
| 9. Week | Structural Equation Modeling (Basic Concepts, Assumptions, Process, Fit Indices, Model Modification, Confirmatory Factor Analysis, Path Analysis) | Practice, Interview, Research |
| 10. Week | Statistical Methods Specific to the Field of Health (Basic Concepts and Methods, Population Statistics, Medical Diagnosis, Life Table Method, Kaplan-Meier Method, Cox Regression Method), Meta Analysis | Practice, Research, Interview |
| 11. Week | Qualitative Research (Theoretical Foundations of Qualitative Research, Process in Qualitative Research, Data Collection and Analysis in Qualitative Research, Qualitative Research Patterns) | Research, Interview, Practice |
| 12. Week | Mixed Methods Research (Basic Concepts, Convergent Parallel Design, Explanatory Sequential Design, Exploratory Sequential Design, Nested Design, Transformative Design, Multistage Design) | Practice, Interview, Research |
| 13. Week | Preparation of the Research Report, Citation and Citation Methods | Research, Interview, Practice |
| 14. Week | Research Ethics | Research, Interview, Practice |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Ability to identify the health needs of the community and the demand for health services | ||||||
| 6 | Ability to assess and enhance health outcomes | ✔ | |||||
| 7 | Proficiency in using statistical analysis, reporting, interpretation, and decision-making | ✔ | |||||
| Program Requirements | DK1 |
|---|---|
| PY1 | 0 |
| PY6 | 3 |
| PY7 | 3 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Sınavlar |
Midterm 1 | 1 | 40 | 40 |
| Homework 1 | 1 | 40 | 40 | |
| Homework 2 | 1 | 40 | 40 | |
| Final | 1 | 40 | 40 | |
| Classroom Activities | 5 | 19 | 95 | |
| Total Workload | 255 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 10.0 | ||
