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Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
STATISTICAL DATA ANALYSIS and REPORTING-Spring Semester3+039
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelThird Cycle (Doctorate Degree)
Course TypeElective
Course CoordinatorAssoc.Prof. Elif BAYKAL
Name of Lecturer(s)Assist.Prof. Yasemin KARAKOÇ
Assistant(s)
AimThe 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 ContentThis 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 KazanımlarıTeaching MethodsAssessment Methods
1. Models statistical problems.16, 6, 9E
2. Uses statistical science in interdisciplinary studies.6
3. Organizes datasets and draw statistically significant results from these datasets.16, 3, 6, 9A, E
4. Applies and interprets statistical analysis.6
5. Uses SPSS package program effectively6
6. Explanes the differences between analyzes.6, 8E
7. Comprehends how to make, apply and interpret statistical analysis.6, 9A, 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

OrderSubjectsPreliminary Work
1Variable Types, Scale Types, Descriptive Statistics, and Hypothesis TestingReading the 1st and 2nd resource
2ONE WAY ANOVA and SPSS APPLICATIONReading the 1st and 2nd resource
3TWO WAY ANOVA and SPSS APPLICATION
4ONE WAY MANOVA and SPSS APPLICATION
5TWO WAY MANOVA and SPSS APPLICATION
6ANCOVA
7SPSS Applications
8RELIABILITY ANALYSIS and SPSS APPLICATIONReading the 3rd resource
9Factor AnalysisReading the 3rd and 4th resource
10SPSS implementation of Factor Analysis
11SIMPLE LINEAR REGRESSION AND CORRELATION ANALYSIS and SPSS APPLICATION
12MULTILINEAR REGRESSION AND CORRELATION ANALYSIS and SPSS APPLICATIONReading 4th resource
13Article Reviews
14SPSS 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
NoProgram QualificationContribution Level
12345
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 LevelAbsolute Evaluation
Rate of Midterm Exam to Success 50
Rate of Final Exam to Success 50
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours4416
Guided Problem Solving3412
Resolution of Homework Problems and Submission as a Report1015150
Term Project000
Presentation of Project / Seminar10110
Quiz10110
Midterm Exam339
General Exam339
Performance Task, Maintenance Plan20240
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

CourseCodeSemesterT+P (Hour)CreditECTS
STATISTICAL DATA ANALYSIS and REPORTING-Spring Semester3+039
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelThird Cycle (Doctorate Degree)
Course TypeElective
Course CoordinatorAssoc.Prof. Elif BAYKAL
Name of Lecturer(s)Assist.Prof. Yasemin KARAKOÇ
Assistant(s)
AimThe 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 ContentThis 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 KazanımlarıTeaching MethodsAssessment Methods
1. Models statistical problems.16, 6, 9E
2. Uses statistical science in interdisciplinary studies.6
3. Organizes datasets and draw statistically significant results from these datasets.16, 3, 6, 9A, E
4. Applies and interprets statistical analysis.6
5. Uses SPSS package program effectively6
6. Explanes the differences between analyzes.6, 8E
7. Comprehends how to make, apply and interpret statistical analysis.6, 9A, 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

OrderSubjectsPreliminary Work
1Variable Types, Scale Types, Descriptive Statistics, and Hypothesis TestingReading the 1st and 2nd resource
2ONE WAY ANOVA and SPSS APPLICATIONReading the 1st and 2nd resource
3TWO WAY ANOVA and SPSS APPLICATION
4ONE WAY MANOVA and SPSS APPLICATION
5TWO WAY MANOVA and SPSS APPLICATION
6ANCOVA
7SPSS Applications
8RELIABILITY ANALYSIS and SPSS APPLICATIONReading the 3rd resource
9Factor AnalysisReading the 3rd and 4th resource
10SPSS implementation of Factor Analysis
11SIMPLE LINEAR REGRESSION AND CORRELATION ANALYSIS and SPSS APPLICATION
12MULTILINEAR REGRESSION AND CORRELATION ANALYSIS and SPSS APPLICATIONReading 4th resource
13Article Reviews
14SPSS 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
NoProgram QualificationContribution Level
12345
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 LevelAbsolute Evaluation
Rate of Midterm Exam to Success 50
Rate of Final Exam to Success 50
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 04/01/2024 - 17:11Son Güncelleme Tarihi: 04/01/2024 - 17:11