Faculty of Humanities and Social Sciences · Sociology (English 30%) · Undergraduate
Course Objective
The main aim of the course is to provide students with basic theoretical knowledge about statistics used in social sciences, as well as data collection in accordance with the research question and hypotheses, evaluation of the collected data with appropriate statistical analyses, interpretation, and publication of the findings.
Course Content
Within the scope of the course, calculation of measures of central dispersion and measures of central dispersion, hypothesis and research question formulation, data collection techniques, data visualisation techniques, statistical analyses used in the evaluation of the collected data and interpretation of these analyses will be discussed.
Required Resources
Swanson, D. (2011). Learning Statistics: A Manual for Sociology Students. Cognella.
George, D., and Mallery, P. (2019). IBM SPSS statistics 23 step by step: A simple guide and reference. Routledge.
Recommended Resources
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Rules
Attendence to the classes is mandatory. Students who fail to meet the attendence requirements set by the university will fail this course.
Course Learning Outcomes
- Gains the ability to use appropriate statistical technique as a decision making tool in social problems where uncertainty is involved.
- To be able to interpret data and findings in sociological studies with statistical information
- To present, summarize and interpret the data obtained from sociological studies with appropriate tables and graphs
Core Area Distribution
Teaching Methods
Assessment & Evaluation
ECTS / Workload
| Activity | Quantity | Duration (h) | Total Workload |
|---|---|---|---|
| Course Duration (Including Exam Week) | 16 | 3 | 48 |
| Out of Class Study Period | 16 | 2 | 32 |
| Midterm | 1 | 20 | 20 |
| Quiz | 4 | 5 | 20 |
| Assignment | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Final | 1 | 30 | 30 |
Course Schedule
| Week | Subject | Preparation |
|---|---|---|
| 1 | Introduction to Statistics, Descriptive and Inferential Statistics | Swanson (2011) Chapter 1 |
| 2 | Operational Definitions, Measurement Levels | Swanson (2011) Chapter 3 |
| 3 | Histogram, Interpreting Statistical Graphics | George and Mallery (2016) Chapter 5 |
| 4 | Frequency, Drawing Histogram, Bar Plots, Scatter Plots | George and Mallery (2016), Chapter 6 |
| 5 | Measures of Central Tendency | Swanson (2011), Chapter 4 George and Mallery (2016), Chapter 7 |
| 6 | Measures of Dispersion | Swanson (2011), Chapter 5 George and Mallery (2016), Chapter 7 |
| 7 | National Holiday | - |
| 8 | Midterm Exam | - |
| 9 | Statistical Terminology, Research Question and Hypothesis Writing | Swanson (2011), Chapter 11 |
| 10 | Introduction to SPSS | George and Mallery (2016), Chapter 3 |
| 11 | Basic Calculations and Functions in SPSS | George and Mallery (2016), Chapter 4 |
| 12 | Chi Square and T Test in SPSS: Interpreting and Reporting | George and Mallery (2016), Chapter 8 and 11 |
| 13 | One Way ANOVA in SPSS: Interpreting and Reporting | George and Mallery (2016), Chapter 12 |
| 14 | Correlation in SPSS: Interpreting and Reporting | George and Mallery (2016), Chapter 10 |
| 15 | Regression in SPSS: Interpreting and Reporting | George and Mallery (2016), Chapter 15 and 16 |
| 16 | Final Exam | - |