Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
-- SKY649 3 + 0 3.0 10.0
Prerequisites None
Language of Instruction Turkish
Course Level Graduate
Course Type
Mode of delivery Theoretical and Presentation
Course Coordinator Prof. Dr. Yalçın KARAGÖZ
Instructor(s)
Assistants
Goals Purpose of this Lesson; Basic Concepts, Z Test, t Test, Analysis of Variance, Regression and Correlation Analysis, Analysis of Covariance (ANCOVA), Canonical Correlation Analysis, Reliability and Validity Analysis, Explanatory Factor Analysis and Structural Equation Modeling, Statistical Methods Specific to the Health Field, Meta Ability to Make and Interpret Analyzes Related to the Analysis
Course Content Basic Concepts, Z Test, t Test, Analysis of Variance, Regression and Correlation Analysis, Analysis of Covariance (ANCOVA), Canonical Correlation Analysis, Reliability and Validity Analysis, Explanatory Factor Analysis and Structural Equation Modeling, Statistical Methods Specific to the Health Field, Meta Analysis Topics Will Be Explained
Learning Outcomes - Student; Basic Concepts, Z Test, t Test, Analysis of Variance, Regression and Correlation Analysis, Analysis of Covariance (ANCOVA), Canonical Correlation Analysis, Reliability and Validity Analysis, Explanatory Factor Analysis and Structural Equation Modeling, Statistical Methods Specific to the Health Field, Meta Will be able to analyze and interpret analysis topics
Weekly Topics (Content)
Week Topics Learning Methods
1. Week Basic Concepts (Variables and their types, measurement and scale levels, establishing hypotheses, null and alternative hypotheses, significance (significance) level, power of the test, selection of appropriate statistical techniques, classification of analysis techniques (classification according to the number of variables, data characteristics). classification)) Verbal Expression Practice Research
2. Week Z Test (Test of the difference of a population average from a certain value, test of the difference between two population averages (independent, conjugate), test of the difference of a population ratio from a certain value, test of the difference between two population ratios) Practice Research Verbal Expression
3. Week t Test (Test of the difference of a population average from a certain value, test of the difference between two population averages (independent, conjugate)) Verbal Expression Research Practice
4. Week Variance Analysis (One Way ANOVA, Two Way ANOVA) Research Verbal Expression Practice
5. Week Analysis of Variance (One-Way MANOVA, Two-Way MANOVA) Practice Research Verbal Expression
6. Week Regression and Correlation Analysis (Basic concepts in regression analysis, Estimation in Bivariate Regression Models) Verbal Expression Practice Research
7. Week Regression and Correlation Analysis (Multivariate Regression Analysis, Selection of Variables to be Entered into the Model, Estimation of the Function to be Used in the Model (Curve Estimation), Graph Drawing in Regression) Practice Verbal Expression Research
8. Week Covariance Analysis (ANCOVA), Canonical Correlation Analysis Verbal Expression Practice Research
9. Week Reliability and Validity Analysis Research Verbal Expression Practice
10. Week Exploratory Factor Analysis and Structural Equation Modeling (Basic concepts in structural equation modeling, Fit Indices) Research Practice Verbal Expression
11. Week Confirmatory Factor Analysis (First Level Single-Factor (Hidden Variable) Model, First Level Multi-Factor (Hidden Variable) Model, Second Level Multi-Factor (Hidden Variable) Model, Unrelated Model, Explanatory (EFA) and Confirmatory (CFA)) Comparison of Factor Analyzes) Verbal Expression Practice Research
12. Week Path Analysis (Path Coefficients, Path Diagram) Practice Research Verbal Expression
13. Week Statistical Methods Specific to the Field of Health Practice Verbal Expression Research
14. Week Meta Analysis Research Verbal Expression Practice
Recommended Sources
SPSS AMOS META Applied Biostatistics (2021)., Karagöz Yalçın, Nobel Academic Publishing, Number of Editions: 3, Number of Pages 1296, ISBN: 978-625-439-583-3
SPSS AMOS META Applied Statistical Analysis (2019), Karagöz Yalçın, Nobel Academic Publishing, Number of editions: 3, Number of Pages 1336, ISBN: 978-605-320-547-0
Biostatistics (2019)., Sümbüloğlu, Kadir, Sümbüloğlu Vildan, Hatiboğlu Publishing House, Number of editions: 20, Number of pages 302, ISBN: 9789757527121
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 Measurement Method
PY3 3 3 -
PY6 3 3 -
PY7 3 3 -
*DK = Course's Contrubution.
0 1 2 3 4 5
Course's Level of contribution None Very Low Low Fair High Very High
Method of assessment/evaluation Written exam Oral Exams Assignment/Project Laboratory work Presentation/Seminar
ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
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
ECTS Credit of the Course 10.0