Course Description
Course | Code | Semester | T+P (Hour) | Credit | ECTS |
---|
STATISTICAL DATA ANALYSIS and REPORTING | YSTD1213486 | Spring Semester | 3+0 | 3 | 9 |
Prerequisites Courses | |
Recommended Elective Courses | |
Language of Course | Turkish |
Course Level | Third Cycle (Doctorate Degree) |
Course Type | Elective |
Course Coordinator | Assoc.Prof. Elif BAYKAL |
Name of Lecturer(s) | Assoc.Prof. Sabri ÖZ |
Assistant(s) | |
Aim | The aim of the course is to introduce the concepts and techniques of statistical analysis techniques and to provide the implementation of related techniques to related problems. |
Course Content | This course contains; Variable Types, Scale Types, Descriptive Statistics, and Hypothesis Testing,ONE WAY ANOVA and SPSS APPLICATION,TWO WAY ANOVA and SPSS APPLICATION,ONE WAY MANOVA and SPSS APPLICATION,TWO WAY MANOVA and SPSS APPLICATION,ANCOVA,SPSS Applications,RELIABILITY ANALYSIS and SPSS APPLICATION,Factor Analysis,SPSS implementation of Factor Analysis,SIMPLE LINEAR REGRESSION AND CORRELATION ANALYSIS and SPSS APPLICATION,MULTILINEAR REGRESSION AND CORRELATION ANALYSIS and SPSS APPLICATION,Article Reviews,SPSS Applications. |
Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
1. Models statistical problems. | 16, 6, 9 | E |
2. Uses statistical science in interdisciplinary studies. | 6 | |
3. Organizes datasets and draw statistically significant results from these datasets. | 16, 3, 6, 9 | A, E |
4. Applies and interprets statistical analysis. | 6 | |
5. Uses SPSS package program effectively | 6 | |
6. Explanes the differences between analyzes. | 6, 8 | E |
7. Comprehends how to make, apply and interpret statistical analysis. | 6, 9 | A, E |
Teaching Methods: | 16: Question - Answer Technique, 3: Problem Baded Learning Model, 6: Experiential Learning, 8: Flipped Classroom Learning, 9: Lecture Method |
Assessment Methods: | A: Traditional Written Exam, E: Homework |
Course Outline
Order | Subjects | Preliminary Work |
---|
1 | Variable Types, Scale Types, Descriptive Statistics, and Hypothesis Testing | Reading the 1st and 2nd resource |
2 | ONE WAY ANOVA and SPSS APPLICATION | Reading the 1st and 2nd resource |
3 | TWO WAY ANOVA and SPSS APPLICATION | |
4 | ONE WAY MANOVA and SPSS APPLICATION | |
5 | TWO WAY MANOVA and SPSS APPLICATION | |
6 | ANCOVA | |
7 | SPSS Applications | |
8 | RELIABILITY ANALYSIS and SPSS APPLICATION | Reading the 3rd resource |
9 | Factor Analysis | Reading the 3rd and 4th resource |
10 | SPSS implementation of Factor Analysis | |
11 | SIMPLE LINEAR REGRESSION AND CORRELATION ANALYSIS and SPSS APPLICATION | |
12 | MULTILINEAR REGRESSION AND CORRELATION ANALYSIS and SPSS APPLICATION | Reading 4th resource |
13 | Article Reviews | |
14 | SPSS Applications | |
Resources |
1..HÜSEYİN TATLIDİL; UYGULAMALI ÇOK DEĞİŞKENLİ İSTATİSTİKSEL ANALİZ
2.BAYRAM NURAN, SOSYAL BİLİMLERDE SPSS İLE VERİ ANALİZİ
3.HAİR F. J. ANDERSON E. R. TATHAM L. R. BLACK C. W. (1998) MULTİVARİATE DATA ANALYSİS
4.ŞEREF KALAYCI; SPSS UYGULAMALI ÇOK DEĞİŞKENLİ İSTATİSTİKSEL ANALİZ TEKNİKLERİ
5.DAVİD J. BARTHOLOMCW; THE ANALYSİS AND İNTERPRETATİON OF MULTİVARİATE DATA FOR SOCİAL SCİENTİSTİS
|
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications |
No | Program Qualification | Contribution Level |
1 | 2 | 3 | 4 | 5 |
1 | Defines the theoretical issues in the field of management. | | X | | | |
2 | Describes the necessary mathematical and statistical methods in the field of management. | | | | X | |
3 | Uses at least one computer program in the field of management. | | | | X | |
4 | Gains the necessary research skills to conduct academic studies. | | | | X | |
5 | Student has the ability of time management. | X | | | | |
6 | Adopts the principles of scientific ethics and scientific responsibility. | | | X | | |
7 | Uses and analyses basic facts and data in various disciplines (economics, finance, sociology, law, business) in order to conduct interdisciplinary studies. | | | X | | |
8 | Uses theoretical and practical knowledge in the field of management. | | | X | | |
9 | To be able to produce or interpret an original work by making at least one scientific study related to the field and expanding the boundaries of knowledge in the field. | | | | 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 | 4 | 4 | 16 |
Guided Problem Solving | 3 | 4 | 12 |
Resolution of Homework Problems and Submission as a Report | 10 | 15 | 150 |
Term Project | 0 | 0 | 0 |
Presentation of Project / Seminar | 10 | 1 | 10 |
Quiz | 10 | 1 | 10 |
Midterm Exam | 3 | 3 | 9 |
General Exam | 3 | 3 | 9 |
Performance Task, Maintenance Plan | 20 | 2 | 40 |
Total Workload(Hour) | 256 |
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(256/30) | 9 |
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 |
---|
STATISTICAL DATA ANALYSIS and REPORTING | YSTD1213486 | Spring Semester | 3+0 | 3 | 9 |
Prerequisites Courses | |
Recommended Elective Courses | |
Language of Course | Turkish |
Course Level | Third Cycle (Doctorate Degree) |
Course Type | Elective |
Course Coordinator | Assoc.Prof. Elif BAYKAL |
Name of Lecturer(s) | Assoc.Prof. Sabri ÖZ |
Assistant(s) | |
Aim | The aim of the course is to introduce the concepts and techniques of statistical analysis techniques and to provide the implementation of related techniques to related problems. |
Course Content | This course contains; Variable Types, Scale Types, Descriptive Statistics, and Hypothesis Testing,ONE WAY ANOVA and SPSS APPLICATION,TWO WAY ANOVA and SPSS APPLICATION,ONE WAY MANOVA and SPSS APPLICATION,TWO WAY MANOVA and SPSS APPLICATION,ANCOVA,SPSS Applications,RELIABILITY ANALYSIS and SPSS APPLICATION,Factor Analysis,SPSS implementation of Factor Analysis,SIMPLE LINEAR REGRESSION AND CORRELATION ANALYSIS and SPSS APPLICATION,MULTILINEAR REGRESSION AND CORRELATION ANALYSIS and SPSS APPLICATION,Article Reviews,SPSS Applications. |
Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
1. Models statistical problems. | 16, 6, 9 | E |
2. Uses statistical science in interdisciplinary studies. | 6 | |
3. Organizes datasets and draw statistically significant results from these datasets. | 16, 3, 6, 9 | A, E |
4. Applies and interprets statistical analysis. | 6 | |
5. Uses SPSS package program effectively | 6 | |
6. Explanes the differences between analyzes. | 6, 8 | E |
7. Comprehends how to make, apply and interpret statistical analysis. | 6, 9 | A, E |
Teaching Methods: | 16: Question - Answer Technique, 3: Problem Baded Learning Model, 6: Experiential Learning, 8: Flipped Classroom Learning, 9: Lecture Method |
Assessment Methods: | A: Traditional Written Exam, E: Homework |
Course Outline
Order | Subjects | Preliminary Work |
---|
1 | Variable Types, Scale Types, Descriptive Statistics, and Hypothesis Testing | Reading the 1st and 2nd resource |
2 | ONE WAY ANOVA and SPSS APPLICATION | Reading the 1st and 2nd resource |
3 | TWO WAY ANOVA and SPSS APPLICATION | |
4 | ONE WAY MANOVA and SPSS APPLICATION | |
5 | TWO WAY MANOVA and SPSS APPLICATION | |
6 | ANCOVA | |
7 | SPSS Applications | |
8 | RELIABILITY ANALYSIS and SPSS APPLICATION | Reading the 3rd resource |
9 | Factor Analysis | Reading the 3rd and 4th resource |
10 | SPSS implementation of Factor Analysis | |
11 | SIMPLE LINEAR REGRESSION AND CORRELATION ANALYSIS and SPSS APPLICATION | |
12 | MULTILINEAR REGRESSION AND CORRELATION ANALYSIS and SPSS APPLICATION | Reading 4th resource |
13 | Article Reviews | |
14 | SPSS Applications | |
Resources |
1..HÜSEYİN TATLIDİL; UYGULAMALI ÇOK DEĞİŞKENLİ İSTATİSTİKSEL ANALİZ
2.BAYRAM NURAN, SOSYAL BİLİMLERDE SPSS İLE VERİ ANALİZİ
3.HAİR F. J. ANDERSON E. R. TATHAM L. R. BLACK C. W. (1998) MULTİVARİATE DATA ANALYSİS
4.ŞEREF KALAYCI; SPSS UYGULAMALI ÇOK DEĞİŞKENLİ İSTATİSTİKSEL ANALİZ TEKNİKLERİ
5.DAVİD J. BARTHOLOMCW; THE ANALYSİS AND İNTERPRETATİON OF MULTİVARİATE DATA FOR SOCİAL SCİENTİSTİS
|
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications |
No | Program Qualification | Contribution Level |
1 | 2 | 3 | 4 | 5 |
1 | Defines the theoretical issues in the field of management. | | X | | | |
2 | Describes the necessary mathematical and statistical methods in the field of management. | | | | X | |
3 | Uses at least one computer program in the field of management. | | | | X | |
4 | Gains the necessary research skills to conduct academic studies. | | | | X | |
5 | Student has the ability of time management. | X | | | | |
6 | Adopts the principles of scientific ethics and scientific responsibility. | | | X | | |
7 | Uses and analyses basic facts and data in various disciplines (economics, finance, sociology, law, business) in order to conduct interdisciplinary studies. | | | X | | |
8 | Uses theoretical and practical knowledge in the field of management. | | | X | | |
9 | To be able to produce or interpret an original work by making at least one scientific study related to the field and expanding the boundaries of knowledge in the field. | | | | X | |
Assessment Methods
Contribution Level | Absolute Evaluation |
Rate of Midterm Exam to Success | | 50 |
Rate of Final Exam to Success | | 50 |
Total | | 100 |
Numerical Data
Ekleme Tarihi: 04/01/2024 - 17:11Son Güncelleme Tarihi: 04/01/2024 - 17:11
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