Course Description
Course | Code | Semester | T+P (Hour) | Credit | ECTS |
---|---|---|---|---|---|
RESEARCH METHODS | - | Fall Semester | 3+0 | 3 | 8 |
Course Program |
Prerequisites Courses | |
Recommended Elective Courses |
Language of Course | Turkish |
Course Level | Second Cycle (Master's Degree) |
Course Type | Required |
Course Coordinator | Prof.Dr. Gülgün ERSOY |
Name of Lecturer(s) | Prof.Dr. Hanefi ÖZBEK, Assoc.Prof. Ayşe Arzu ŞAKUL |
Assistant(s) | |
Aim | The aim is to gain the practice of scientific research organization and finalization. |
Course Content | This course contains; Scientific method, data, scales.,Variables, blinding, errors insurveys.,Types of research,research planning, sampling.,Observation method, survey method, clinical trials.,Theuse of research methods in epidemiology, research ethics.,Literature review, preparation of data for analysis.,The table and graph-making, footnotes and references.,General concepts and techniques of statistics, measurements, frequency distributions, averages.,Probability.,Basics of hypothesistesting, confidence intervals basics.,Comparison of averages.,Correlation and regression, multiplelinear regression.,Categorical variables, comparison of two proportions.,Crosstabs,stratified tables.. |
Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
Ability to summarize clinical research, relationships among variables, blinding, mistakes in research, research and science ethics | 10, 12, 13, 14, 16, 19, 4, 6, 8, 9 | E |
Ability to have knowledge about biostatistics, to establish relations with scientific researches. | 10, 12, 13, 14, 16, 19, 4, 6, 8, 9 | E |
Ability to learn descriptive and analytical statistical methods and to apply them | 10, 12, 13, 14, 16, 19, 4, 6, 8, 9 | E |
Ability to plan a scientific research, to search resources, to prepare data analysis, to make tables and graphics, to show footnotes and references | 10, 12, 13, 14, 16, 19, 4, 6, 8, 9 | E |
Ability to establish descriptive statistics and analytical methods the relationship between scientific research | 10, 13, 14, 16, 19, 4, 6, 8, 9 | E |
Teaching Methods: | 10: Discussion Method, 12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 16: Question - Answer Technique, 19: Brainstorming Technique, 4: Inquiry-Based Learning, 6: Experiential Learning, 8: Flipped Classroom Learning, 9: Lecture Method |
Assessment Methods: | E: Homework |
Course Outline
Order | Subjects | Preliminary Work |
---|---|---|
1 | Scientific method, data, scales. | Downloading and working with the relevant ppt file |
2 | Variables, blinding, errors insurveys. | Downloading and working with the relevant ppt file |
3 | Types of research,research planning, sampling. | Downloading and working with the relevant ppt file |
4 | Observation method, survey method, clinical trials. | Downloading and working with the relevant ppt file |
5 | Theuse of research methods in epidemiology, research ethics. | Downloading and working with the relevant ppt file |
6 | Literature review, preparation of data for analysis. | Downloading and working with the relevant ppt file |
7 | The table and graph-making, footnotes and references. | Downloading and working with the relevant ppt file |
8 | General concepts and techniques of statistics, measurements, frequency distributions, averages. | Downloading and working with the relevant ppt file |
9 | Probability. | Downloading and working with the relevant ppt file |
10 | Basics of hypothesistesting, confidence intervals basics. | Downloading and working with the relevant ppt file |
11 | Comparison of averages. | Downloading and working with the relevant ppt file |
12 | Correlation and regression, multiplelinear regression. | Downloading and working with the relevant ppt file |
13 | Categorical variables, comparison of two proportions. | Downloading and working with the relevant ppt file |
14 | Crosstabs,stratified tables. | Downloading and working with the relevant ppt file |
Resources |
Biostatistics notes wil be given to the students. |
Bioistatistik, Prof.Dr.Kadir Sümbüloğlu, Doç.Dr.Vildan Sümbüloğlu. Sağlık Bilimlerinde araştırma yöntemleri Vildan Sümbüloğlu, Kadir Sümbüloğlu. Bilgisayar (Excel) destekli uygulamalı istatistik Prof.Dr. Mustafa Akkurt. Bilgisayar istatistik ve tıp Dr. Murat Hayran, Dr. Oktay Özdemir. SPSS ile biyoistatistik Kazım Özdamar. Tıbbi araştırmalarda istatistiksel analiz teknikleri “SPSS uygulamaları” Aziz Akgül. Sağlık Araştırmalarında Örneklem Büyüklüğünün Yeterliliği. Stanley Lemeshow, David W. Hosmer Jr, Janelle Klar, Stephen K. Lwanga. Çeviren S. Oğuz Kayaalp, Hacettepe Taş, 2000. |
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications | |||||||
No | Program Qualification | Contribution Level | |||||
1 | 2 | 3 | 4 | 5 | |||
1 | Has up-to-date knowledge, develops and deepens the level of expertise in the field of pharmacology based on the qualifications of the undergraduate level. | X | |||||
2 | Knowledge of information technology, technical equipment and equipment and devices specific to the field at the level required by the field of pharmacology. | X | |||||
3 | Has knowledge about statistics and uses related software effectively. | X | |||||
4 | Analyzes and synthesizes the information that is available in the field of pharmacology using information from different disciplines and interprets them in order to create new information. | X | |||||
5 | Writes the report of the research that you have done. | X | |||||
6 | Performs necessary examinations and solves problems and problems by using advanced technological tools and equipment and tools specific to the field at the level required by the field of pharmacology. | X | |||||
7 | Effective use of statistical software in pharmacology, accurate selection of statistical methods, accurate calculations and accurate interpretations. | X | |||||
8 | Brings solution proposals, solves problems, evaluates the results obtained, and, where necessary, requires expertise in the pharmacology field. | X | |||||
9 | Present a scientific article at a scientific meeting. | X | |||||
10 | Evaluates critical knowledge about the field of pharmacology and guides learning. It follows applications based on proof. Conduct research that will create evidence in their field of professional practice. | X | |||||
11 | Discuss and share the knowledge of the field of health, current developments and their own work in a systematic manner in written, oral and visual manner with the same group or outside groups. | X | |||||
12 | Observes social, scientific and ethical values during the collection, registration, interpretation and announcement of data related to the health field. | X | |||||
13 | Practice in interdisciplinary studies of knowledge and problem solving skills that are assimilated in the field of health. | X |
Assessment Methods
Contribution Level | Absolute Evaluation | |
Rate of Midterm Exam to Success | 50 | |
Rate of Final Exam to Success | 50 | |
Total | 100 |
ECTS / Workload Table | ||||||
Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
Course Hours | 0 | 0 | 0 | |||
Guided Problem Solving | 0 | 0 | 0 | |||
Resolution of Homework Problems and Submission as a Report | 0 | 0 | 0 | |||
Term Project | 0 | 0 | 0 | |||
Presentation of Project / Seminar | 0 | 0 | 0 | |||
Quiz | 0 | 0 | 0 | |||
Midterm Exam | 0 | 0 | 0 | |||
General Exam | 0 | 0 | 0 | |||
Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
Total Workload(Hour) | 0 | |||||
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(0/30) | 0 | |||||
ECTS of the course: 30 hours of work is counted as 1 ECTS credit. |
Detail Informations of the Course
Course Description
Course | Code | Semester | T+P (Hour) | Credit | ECTS |
---|---|---|---|---|---|
RESEARCH METHODS | - | Fall Semester | 3+0 | 3 | 8 |
Course Program |
Prerequisites Courses | |
Recommended Elective Courses |
Language of Course | Turkish |
Course Level | Second Cycle (Master's Degree) |
Course Type | Required |
Course Coordinator | Prof.Dr. Gülgün ERSOY |
Name of Lecturer(s) | Prof.Dr. Hanefi ÖZBEK, Assoc.Prof. Ayşe Arzu ŞAKUL |
Assistant(s) | |
Aim | The aim is to gain the practice of scientific research organization and finalization. |
Course Content | This course contains; Scientific method, data, scales.,Variables, blinding, errors insurveys.,Types of research,research planning, sampling.,Observation method, survey method, clinical trials.,Theuse of research methods in epidemiology, research ethics.,Literature review, preparation of data for analysis.,The table and graph-making, footnotes and references.,General concepts and techniques of statistics, measurements, frequency distributions, averages.,Probability.,Basics of hypothesistesting, confidence intervals basics.,Comparison of averages.,Correlation and regression, multiplelinear regression.,Categorical variables, comparison of two proportions.,Crosstabs,stratified tables.. |
Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
Ability to summarize clinical research, relationships among variables, blinding, mistakes in research, research and science ethics | 10, 12, 13, 14, 16, 19, 4, 6, 8, 9 | E |
Ability to have knowledge about biostatistics, to establish relations with scientific researches. | 10, 12, 13, 14, 16, 19, 4, 6, 8, 9 | E |
Ability to learn descriptive and analytical statistical methods and to apply them | 10, 12, 13, 14, 16, 19, 4, 6, 8, 9 | E |
Ability to plan a scientific research, to search resources, to prepare data analysis, to make tables and graphics, to show footnotes and references | 10, 12, 13, 14, 16, 19, 4, 6, 8, 9 | E |
Ability to establish descriptive statistics and analytical methods the relationship between scientific research | 10, 13, 14, 16, 19, 4, 6, 8, 9 | E |
Teaching Methods: | 10: Discussion Method, 12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 16: Question - Answer Technique, 19: Brainstorming Technique, 4: Inquiry-Based Learning, 6: Experiential Learning, 8: Flipped Classroom Learning, 9: Lecture Method |
Assessment Methods: | E: Homework |
Course Outline
Order | Subjects | Preliminary Work |
---|---|---|
1 | Scientific method, data, scales. | Downloading and working with the relevant ppt file |
2 | Variables, blinding, errors insurveys. | Downloading and working with the relevant ppt file |
3 | Types of research,research planning, sampling. | Downloading and working with the relevant ppt file |
4 | Observation method, survey method, clinical trials. | Downloading and working with the relevant ppt file |
5 | Theuse of research methods in epidemiology, research ethics. | Downloading and working with the relevant ppt file |
6 | Literature review, preparation of data for analysis. | Downloading and working with the relevant ppt file |
7 | The table and graph-making, footnotes and references. | Downloading and working with the relevant ppt file |
8 | General concepts and techniques of statistics, measurements, frequency distributions, averages. | Downloading and working with the relevant ppt file |
9 | Probability. | Downloading and working with the relevant ppt file |
10 | Basics of hypothesistesting, confidence intervals basics. | Downloading and working with the relevant ppt file |
11 | Comparison of averages. | Downloading and working with the relevant ppt file |
12 | Correlation and regression, multiplelinear regression. | Downloading and working with the relevant ppt file |
13 | Categorical variables, comparison of two proportions. | Downloading and working with the relevant ppt file |
14 | Crosstabs,stratified tables. | Downloading and working with the relevant ppt file |
Resources |
Biostatistics notes wil be given to the students. |
Bioistatistik, Prof.Dr.Kadir Sümbüloğlu, Doç.Dr.Vildan Sümbüloğlu. Sağlık Bilimlerinde araştırma yöntemleri Vildan Sümbüloğlu, Kadir Sümbüloğlu. Bilgisayar (Excel) destekli uygulamalı istatistik Prof.Dr. Mustafa Akkurt. Bilgisayar istatistik ve tıp Dr. Murat Hayran, Dr. Oktay Özdemir. SPSS ile biyoistatistik Kazım Özdamar. Tıbbi araştırmalarda istatistiksel analiz teknikleri “SPSS uygulamaları” Aziz Akgül. Sağlık Araştırmalarında Örneklem Büyüklüğünün Yeterliliği. Stanley Lemeshow, David W. Hosmer Jr, Janelle Klar, Stephen K. Lwanga. Çeviren S. Oğuz Kayaalp, Hacettepe Taş, 2000. |
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications | |||||||
No | Program Qualification | Contribution Level | |||||
1 | 2 | 3 | 4 | 5 | |||
1 | Has up-to-date knowledge, develops and deepens the level of expertise in the field of pharmacology based on the qualifications of the undergraduate level. | X | |||||
2 | Knowledge of information technology, technical equipment and equipment and devices specific to the field at the level required by the field of pharmacology. | X | |||||
3 | Has knowledge about statistics and uses related software effectively. | X | |||||
4 | Analyzes and synthesizes the information that is available in the field of pharmacology using information from different disciplines and interprets them in order to create new information. | X | |||||
5 | Writes the report of the research that you have done. | X | |||||
6 | Performs necessary examinations and solves problems and problems by using advanced technological tools and equipment and tools specific to the field at the level required by the field of pharmacology. | X | |||||
7 | Effective use of statistical software in pharmacology, accurate selection of statistical methods, accurate calculations and accurate interpretations. | X | |||||
8 | Brings solution proposals, solves problems, evaluates the results obtained, and, where necessary, requires expertise in the pharmacology field. | X | |||||
9 | Present a scientific article at a scientific meeting. | X | |||||
10 | Evaluates critical knowledge about the field of pharmacology and guides learning. It follows applications based on proof. Conduct research that will create evidence in their field of professional practice. | X | |||||
11 | Discuss and share the knowledge of the field of health, current developments and their own work in a systematic manner in written, oral and visual manner with the same group or outside groups. | X | |||||
12 | Observes social, scientific and ethical values during the collection, registration, interpretation and announcement of data related to the health field. | X | |||||
13 | Practice in interdisciplinary studies of knowledge and problem solving skills that are assimilated in the field of health. | X |
Assessment Methods
Contribution Level | Absolute Evaluation | |
Rate of Midterm Exam to Success | 50 | |
Rate of Final Exam to Success | 50 | |
Total | 100 |