Health Management (DR) | |||||
PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 |
Course Code: | SAYD6106 | ||||
Course Name: | Advanced Research Methods in Health Management | ||||
Semester: | Spring | ||||
Course Credits: |
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Language of instruction: | Turkish | ||||
Course Condition: | |||||
Does the Course Require Work Experience?: | No | ||||
Type of course: | Compulsory Courses | ||||
Course Level: |
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Mode of Delivery: | Face to face | ||||
Course Coordinator: | Dr. Öğr. Üy. İLAYDA İSABETLİ FİDAN | ||||
Course Lecturer(s): | İLAYDA İSABETLİ FİDAN | ||||
Course Assistants: |
Course Objectives: | The aim of this course is to enable students to gain theoretical and applied knowledge and skills on how to examine a topic related to important and current issues in the field of health management with advanced research methods in light of ethical codes. |
Course Content: | This course covers statistical association, confounding factors and causality in scientific research in the field of health management, multivariate analyses suitable for research designs for the purpose of exploring and explaining a topic, and discussion and asessment of research articles published using these analyses. |
The students who have succeeded in this course;
1) • Develop an appropriate analysis model for association or causality, 2) • Perform selected multivariate analysis that are widely used in health management, for the model developed, 3) • Interpret analysis findings, 4) • Orally share and discuss the critique of a quantitative research paper made using selected multivariate analysis technique(s) in the field of health management. |
Week | Subject | Related Preparation |
1) | Introduction | |
2) | Fundamentals of Statistics - 1 | |
3) | Fundamentals of Statistics - 2 | |
4) | Modelling and Model Assumptions | |
5) | Regression | |
6) | Ordinary Least Square Method -1 | |
7) | Ordinary Least Square Method -2 | |
8) | Logistic Regression -1 | |
9) | Logistic Regression -2 | |
10) | Panel Data Analysis -1 | |
11) | Panel Data Analysis -2 | |
12) | Panel Data Analysis -3 | |
13) | Presentation Week -1 | |
14) | Presentation Week -2 | |
15) | Final |
Course Notes / Textbooks: | Jones, A., Applied Econometrics For Health Economist – A Practical Guide, RADCLIFFE, 2007. |
References: | Stockemer, D., Quantitative Methods for the Social Sciences – A Practical Introduction with Examples in SPSS and Stata, SPRINGER, 2019. |
Course Learning Outcomes | 1 |
2 |
3 |
4 |
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Program Outcomes | |||||||
1) Gain theoretical and applied knowledge in the field of health management and develop existing knowledge. | 3 | 3 | 3 | 3 | |||
2) Critically analyze the national and international health system and policies from an interdisciplinary perspective. | 3 | 2 | 2 | 2 | |||
3) Analyze and direct the managerial and medical functioning of health care organizations. | 3 | 2 | 2 | 3 | |||
4) Reach new syntheses and evaluate them by conducting advanced scientific research on important and current issues in health system in general and in health care organizations in particular. | 2 | 3 | 3 | 3 | |||
5) Develop effective, efficient, fair and sustainable innovative solutions to problems. | 2 | 2 | 2 | 3 | |||
6) Effectively share their views and suggestions on the relevant platforms, both verbally and in writing. | 3 | 3 | 3 | 3 | |||
7) Act in accordance with ethical codes in scientific research, publication, business and societal life. | 3 | 3 | 3 | 3 |
No Effect | 1 Lowest | 2 Average | 3 Highest |
Program Outcomes | Level of Contribution | |
1) | Gain theoretical and applied knowledge in the field of health management and develop existing knowledge. | 3 |
2) | Critically analyze the national and international health system and policies from an interdisciplinary perspective. | 2 |
3) | Analyze and direct the managerial and medical functioning of health care organizations. | 3 |
4) | Reach new syntheses and evaluate them by conducting advanced scientific research on important and current issues in health system in general and in health care organizations in particular. | 3 |
5) | Develop effective, efficient, fair and sustainable innovative solutions to problems. | 3 |
6) | Effectively share their views and suggestions on the relevant platforms, both verbally and in writing. | 3 |
7) | Act in accordance with ethical codes in scientific research, publication, business and societal life. | 3 |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | 14 | % 10 |
Homework Assignments | 2 | % 50 |
Presentation | 2 | % 40 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 100 | |
PERCENTAGE OF FINAL WORK | % | |
total | % 100 |
Activities | Number of Activities | Workload |
Course Hours | 14 | 42 |
Study Hours Out of Class | 14 | 84 |
Presentations / Seminar | 8 | 78 |
Homework Assignments | 9 | 96 |
Total Workload | 300 |