Code |
Name of the Course Unit |
Semester |
In-Class Hours (T+P) |
Credit |
ECTS Credit |
SOS369 |
QUANTITATIVE DATA ANALYSIS |
5 |
3 |
3 |
5 |
GENERAL INFORMATION |
Language of Instruction : |
Turkish |
Level of the Course Unit : |
BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle |
Type of the Course : |
Elective |
Mode of Delivery of the Course Unit |
- |
Coordinator of the Course Unit |
Prof. KAMİL KAYA |
Instructor(s) of the Course Unit |
|
Course Prerequisite |
No |
OBJECTIVES AND CONTENTS |
Objectives of the Course Unit: |
This course aims to help students use statistical programs actively, interpret the results of research in a meaningful way, and gain knowledge and skills in these methods by recognizing statistical methods. |
Contents of the Course Unit: |
Contents of the course include; introduction of SPSS program, explaining the types of analysis, research design, explaining the types of analysis according to the type of variables, parametric and non-parametric statistics, data entry to SPSS, interpretation of the obtained data. |
KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to) |
Knows the SPSS program. |
Uses the SPSS program. |
Interprets the results of the analysis performed by SPSS, explain the relationship between variables. |
Remembers the information about the universe and sample, how to collect the data and how to perform a quantitative analysis and apply it via SPSS. |
Analyzes the data by entering SPSS program. |
Distinguishes the types of statistics and design a method according to the research. |
WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY |
Week |
Preparatory |
Topics(Subjects) |
Method |
1 |
- |
Introduction to Statistics; basic concepts |
Lecture |
2 |
Reading |
Introduction to SPSS; Presentation of SPSS menus |
Lecture |
3 |
Reading |
Research design and
Codebook Preparation |
Lecture -Demonstration |
4 |
Reading - Practice |
Data File Preparation and Introduction to SPSS |
Lecture -Demonstration |
5 |
Reading - Practice |
Presentation of Preliminary research tests for the reliability of the research; confidence test |
Lecture -Demonstration |
6 |
Reading - Practice |
Methods used in the interpretation of the relationship between variables; correlation, regression, factor analysis |
Lecture -Demonstration |
7 |
Reading - Practice |
Methods used in the interpretation of the relationship between variables; correlation, regression, factor analysis |
Lecture -Demonstration |
8 |
- |
MID-TERM EXAM |
- |
9 |
Reading - Practice |
Methods used in the comparison of the groups; non-parametric tests |
Lecture -Demonstration |
10 |
Reading - Practice |
T - test |
Lecture -Demonstration |
11 |
Reading - Practice |
Variance Analysis I |
Lecture -Demonstration |
12 |
Reading - Practice |
Variance Analysis II |
Lecture -Demonstration |
13 |
Reading - Practice |
Graphitising research findings and reporting types |
Lecture -Demonstration |
14 |
Reading - Practice |
Graphic analysis and interpretation of results |
Lecture -Demonstration |
15 |
Reading - Practice |
Revision |
Lecture -Demonstration |
16 |
- |
FINAL EXAM |
- |
17 |
- |
FINAL EXAM |
- |
SOURCE MATERIALS & RECOMMENDED READING |
Can, Abdullah. (2016). SPSS ile bilimsel arastirma surecinde nicel verilerin analizi. Ankara: Pegem Academy Publications |
Buyukozturk, S., Cakmak, E. K., Akgün, O. E., Karadeniz, S., & Demirel, F. (2016). Bilimsel arastirma yontemleri. Ankara: Pegem Academy Publications |
Koseoglu, M., & Yamak, R. (2011). Uygulamalı istatistik. Trabzon: Derya Bookstore |
Treiman, Donald J. (2014). Quantitative data analysis: Doing social research to test ideas. John Wiley & Sons. |
Treiman, Donald J. (2014). Quantitative data analysis: Doing social research to test ideas. John Wiley & Sons. |
ASSESSMENT |
Assessment & Grading of In-Term Activities |
Number of Activities |
Degree of Contribution (%) |
Description |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES
KNOWLEDGE |
Theoretical |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Students define the concepts they learned and match them with their corresponding phenomena in the social world.
|
|
|
|
3 |
|
|
2 |
Students interpret concepts and theories taking into account their historical-cultural contexts.
|
|
|
2 |
|
|
|
3 |
Students compare sociological theories with reference to social problems.
|
|
|
2 |
|
|
|
4 |
Students distinguish the significance of ecological, social and economical sustainability for world’s future.
|
|
1 |
|
|
|
|
5 |
Students develop their knowledge on sustainability by the use of information and communication technologies.
|
|
|
|
3 |
|
|
KNOWLEDGE |
Factual |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Students evaluate qualitative and quantitative data of sociological research studies.
|
|
|
|
|
|
5 |
2 |
Students analyse the complicated interactions between the social, cultural, political, economical and demographical phenomena of the global world.
|
|
|
|
|
|
5 |
SKILLS |
Cognitive |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Students design a research by their acquired knowledge and experience.
|
0 |
|
|
|
|
|
SKILLS |
Practical |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Students research field study considering the principle of cultural relativity, scientific and ethical values.
|
0 |
|
|
|
|
|
2 |
Students efficiently apply the most suitable information and communication technologies in their studies.
|
0 |
|
|
|
|
|
3 |
Students use their knowledge on ecological, social and economical sustainability in all aspects of their lives.
|
0 |
|
|
|
|
|
OCCUPATIONAL |
Autonomy & Responsibility |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Students research on problems which reflect on their fields in the global world undergoing rapid and profound change.
|
|
|
|
|
4 |
|
OCCUPATIONAL |
Learning to Learn |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Students criticize their advanced knowledge and skills in an analytical manner.
|
|
|
|
|
|
5 |
2 |
Students develop their knowledge and skills within the frame of scientific, technological and current developments via adopting the principle of lifelong learning.
|
|
|
|
|
|
5 |
3 |
Students act ethically impartial in their research studies.
|
|
|
|
|
|
5 |
OCCUPATIONAL |
Communication & Social |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Students criticize their advanced knowledge and skills in an analytical manner.
|
|
|
|
3 |
|
|
OCCUPATIONAL |
Occupational and/or Vocational |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Students apply the principle of cultural relativity, scientific and ethical values with reference to sustainability throughout their studies in their careers.
|
|
|
|
3 |
|
|
WORKLOAD & ECTS CREDITS OF THE COURSE UNIT |
Workload for Learning & Teaching Activities |
Type of the Learning Activites |
Learning Activities (# of week) |
Duration (hours, h) |
Workload (h) |
Lecture & In-Class Activities |
14 |
3 |
42 |
Preliminary & Further Study |
13 |
2 |
26 |
Land Surveying |
0 |
0 |
0 |
Group Work |
0 |
0 |
0 |
Laboratory |
0 |
0 |
0 |
Reading |
12 |
4 |
48 |
Assignment (Homework) |
0 |
0 |
0 |
Project Work |
0 |
0 |
0 |
Seminar |
0 |
0 |
0 |
Internship |
0 |
0 |
0 |
Technical Visit |
0 |
0 |
0 |
Web Based Learning |
0 |
0 |
0 |
Implementation/Application/Practice |
0 |
0 |
0 |
Practice at a workplace |
0 |
0 |
0 |
Occupational Activity |
0 |
0 |
0 |
Social Activity |
0 |
0 |
0 |
Thesis Work |
0 |
0 |
0 |
Field Study |
0 |
0 |
0 |
Report Writing |
0 |
0 |
0 |
Final Exam |
1 |
1 |
1 |
Preparation for the Final Exam |
1 |
6 |
6 |
Mid-Term Exam |
1 |
1 |
1 |
Preparation for the Mid-Term Exam |
1 |
4 |
4 |
Short Exam |
0 |
0 |
0 |
Preparation for the Short Exam |
0 |
0 |
0 |
TOTAL |
43 |
0 |
128 |
|
Total Workload of the Course Unit |
128 |
|
|
Workload (h) / 25.5 |
5 |
|
|
ECTS Credits allocated for the Course Unit |
5,0 |
|