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Information
| Unit | INSTITUTE OF SOCIAL SCIENCES |
| SCIENCE TEACHING (MASTER) (WITH THESIS) | |
| Code | FBE704 |
| Name | Applied Education Statistics I |
| Term | 2025-2026 Academic Year |
| Term | Fall and Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. PINAR FETTAHLIOĞLU |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The aim of this course is to introduce students to commonly used statistical analysis methods in educational research and to develop their ability to interpret and conduct appropriate analyses. Additionally, students will learn to make data-driven decisions by applying these methods using statistical software such as SPSS.
Course Content
The role and importance of statistics in education Basic concepts: variable types, levels of measurement Descriptive statistics (mean, median, standard deviation, charts) Normality, confidence intervals, hypothesis testing t-tests, ANOVA, chi-square test Correlation and regression analysis Reliability and validity analysis Applications using SPSS software Analyzing educational datasets Practice-based project assignments
Course Precondition
none
Resources
Büyüköztürk, Ş. (2021). Sosyal bilimler için veri analizi el kitabı: İstatistik, araştırma deseni, SPSS uygulamaları ve yorum. Pegem Akademi. Karasar, N. (2022). Bilimsel araştırma yöntemi. Nobel Yayınları.
Notes
Gravetter, F. J., & Wallnau, L. B. (2021). Statistics for the Behavioral Sciences (11th ed.). Cengage Learning. Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). SAGE Publications.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains fundamental statistical concepts used in educational research and distinguishes between types of analyses. |
| LO02 | Applies descriptive and inferential statistical methods to appropriate datasets and interprets the results. |
| LO03 | Conducts data analysis using SPSS software and evaluates the meaning of outputs within an educational context. |
| LO04 | Selects and justifies appropriate statistical tests for educational research questions. |
| LO05 | Reports statistical findings in accordance with scientific reporting standards. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Define and apply scientific research and analysis methods used in science | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Has basic knowledge and skills related to Science Education. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Explains the development and learning theories within the scope of science education. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Describes instructional strategies, methods and techniques on the level of expertise on the basis of undergraduate qualifications. | |
| PLO05 | Bilgi - Kuramsal, Olgusal | Explains the interaction between disciplines related to the field. | |
| PLO06 | Bilgi - Kuramsal, Olgusal | Explains the knowledge in the subject areas of science education at the level of expertise. | |
| PLO07 | Bilgi - Kuramsal, Olgusal | Relate knowledge of science education with information in different fields. | 4 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Apply the theoretical and practical knowledge in the field of expertise | |
| PLO09 | Bilgi - Kuramsal, Olgusal | Criticize the practices related to science education at national and international level. | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Plans and conducts a scientific research. | 3 |
| PLO11 | Bilgi - Kuramsal, Olgusal | Apply teaching methods and techniques on the basis of undergraduate qualifications. | |
| PLO12 | Bilgi - Kuramsal, Olgusal | Manages a study that requires expertise in the field independently. | 4 |
| PLO13 | Bilgi - Kuramsal, Olgusal | Makes teamwork or leadership in situations that require resolution of problems related to the field. | |
| PLO14 | Beceriler - Bilişsel, Uygulamalı | Questions scientific and social issues with new perspectives. | |
| PLO15 | Beceriler - Bilişsel, Uygulamalı | Carries out studies in the field of lifelong learning. | |
| PLO16 | Beceriler - Bilişsel, Uygulamalı | Follow technological developments. | |
| PLO17 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Provides a scientific study in the field of science education, supported by qualitative and quantitative data, in writing, orally and visually, to experts or non-specialists. | 4 |
| PLO18 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Uses information and communication technologies effectively | |
| PLO19 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Use the languages of the European language portfolio to understand the information in the field and to communicate verbally and in writing | |
| PLO20 | Yetkinlikler - Öğrenme Yetkinliği | Acts in accordance with social, scientific, cultural and ethical values when conducting a scientific research or project or interpreting a study. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to Statistics, Importance of Statistics in Education, Basic Concepts | reading related sections | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 2 | Types of Variables, Levels of Measurement, Data Collection Methods | reading related sections | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 3 | Descriptive Statistics: Mean, Median, Mode, Standard Deviation | reading related sections | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 4 | Data Visualization: Histogram, Bar and Pie Charts | reading related sections | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 5 | Normal Distribution, Z Scores, Normality Tests (Kolmogorov-Smirnov, Shapiro-Wilk) | reading related sections | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 6 | Confidence Intervals and Sampling Distributions | reading related sections | Öğretim Yöntemleri: Soru-Cevap, Anlatım, Tartışma |
| 7 | Introduction to Hypothesis Testing: H0, H1, Significance Level, p-value | reading related sections | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 8 | Mid-Term Exam | reading related sections | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Independent and Paired Samples t-Test, Effect Size (Cohen’s d) | reading related sections | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 10 | One-Way Analysis of Variance (ANOVA), Post-hoc Tests | reading related sections | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 11 | Chi-Square (χ²) Test: Analysis of Categorical Data | reading related sections | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 12 | Correlation and Regression: Pearson, Spearman, Simple Linear Regression | reading related sections | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 13 | Reliability and Validity Analyses: Cronbach’s Alpha, Item Analysis | reading related sections | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 14 | Exploratory Factor Analysis and Its Use in Education | reading related sections | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 15 | Presentation of Applied Projects and General Evaluation | reading related sections | Öğretim Yöntemleri: Soru-Cevap, Anlatım, Tartışma |
| 16 | Term Exams | Ölçme Yöntemleri: Ödev |
|
| 17 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 15 | 3 | 45 |
| Out of Class Study (Preliminary Work, Practice) | 15 | 3 | 45 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 15 | 3 | 45 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 3 | 3 |
| Final Exam | 2 | 4 | 8 |
| Total Workload (Hour) | 146 | ||
| Total Workload / 25 (h) | 5,84 | ||
| ECTS | 6 ECTS | ||