Graduate Education Institute · Mathematics Education · Master
ECTS: 7.5 T+P+L: 3+0+0 Compulsory
Coordinator: Prof. Dr. İbrahim GÜNEY
Instructors: Prof. Dr. Ahmet Şükrü ÖZDEMİR
Course Objective
This course will focus on understanding statistical concepts and on interpreting and communicating the results of a statistical analysis based on computer. It is designed to develop a basic understanding of descriptive, multivariate inferential statistics.
Course Content
Data Collection, descriptive statistics, sources of error in research, measures of central tendency, parametric materiality tests (T test and ANOVA test), non-parametric materiality tests, correlation and regression test, reliability test,analysis of data with SPSS,
Course Learning Outcomes
- Knows and applies the statistical methods Knows how to analyze the data by SPSS
- Students will be able know statistical terms and concepts
- Students will be able know how to analyze the data
- Students will be able to have knowledge about design of educational research
Core Area Distribution
(14) Teacher Training and Education Science%50 (46) Mathematics and Statistics%50
Teaching Methods
ExpressionQuestion-AnswerExercise and PracticeExperiment - Test / Lab/ Workshop / Field PracticeSelf study
Assessment & Evaluation
HomeworkTesting (Essay / Tests: True-Falls, multiple-choice, short answer, matching)
ECTS / Workload
| Activity | Quantity | Duration (h) | Total Workload |
|---|---|---|---|
| Course Duration (Including Exam Week) | 14 | 3 | 42 |
| Out of Class Study Period | 14 | 6 | 84 |
| Midterm | 1 | 30 | 30 |
| Quiz | 0 | 0 | 0 |
| Assignment | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Final | 1 | 32 | 32 |
Course Schedule
| Week | Subject | Preparation |
|---|---|---|
| 1 | Introduction to Statistics: Conceptual Framework and Data Structures | Reference book chapter |
| 2 | Descriptive Statistics and Data Visualization Techniques | Reference book chapter |
| 3 | Probability Theory: Distributions and the Standard Normal Framework | Reference book chapter |
| 4 | Logic of Scientific Testing: Hypotheses, Error Types, and p-Values | Reference book chapter |
| 5 | Relationship Analysis I: Correlation Methods (Pearson, Spearman) | Reference book chapter |
| 6 | Relationship Analysis II: Linear Regression | Reference book chapter |
| 7 | Parametric Difference Tests: One-Sample, Independent, and Paired t-Tests | Reference book chapter |
| 8 | MIDTERM | Ara Sınav |
| 9 | Analysis of Variance (ANOVA) | Reference book chapter |
| 10 | Multiple Comparisons: Post-Hoc Tests and Effect Size | Reference book chapter |
| 11 | Categorical Data Analysis: Chi-Square Test of Independence | Reference book chapter |
| 12 | Multivariate Analysis: MANOVA and Assumptions | Reference book chapter |
| 13 | Scale Development & Adaptation: Reliability Analysis (Cronbach’s Alpha) | Reference book chapter |
| 14 | Non-Parametric Difference Tests: Mann-Whitney U and Kruskal-Wallis | Reference book chapter |
| 15 | Applied Comprehensive Review with SPSS | Reference book ch.. |
| 16 | FINAL EXAM | Final Sınavı |