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EYD 508 - Educational Statistics and Applications

Graduate Education Institute · Education Management · Master

ECTS: 7.5 T+P+L: 3+0+0 Compulsory
Coordinator: Prof. Dr. İbrahim GÜNEY

Course Objective

To contribute to graduate students' statistical studies by using data analysis for scientific researches and to make use of computer based statistical programs in field studies.

Course Content

Data collection, descriptive statistics, sources of error in research, central tendency measures, parametric significance tests (T test and ANOVA test), non-parametric significance tests, correlation and regression test, reliability test, data analysis with SPSS.

Course Learning Outcomes

  1. Knows and applies the statistical methods Knows how to analyze the data by SPSS
  2. Students will be able know statistical terms and concepts
  3. Students will be able know how to analyze the data
  4. 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

ActivityQuantityDuration (h)Total Workload
Course Duration (Including Exam Week)14342
Out of Class Study Period14684
Midterm13030
Quiz000
Assignment000
Practice000
Final13232

Course Schedule

WeekSubjectPreparation
1Introduction to Statistics: Conceptual Framework and Data StructuresReference book chapter
2Descriptive Statistics and Data Visualization TechniquesReference book chapter
3Probability Theory: Distributions and the Standard Normal FrameworkReference book chapter
4Logic of Scientific Testing: Hypotheses, Error Types, and p-ValuesReference book chapter
5Relationship Analysis I: Correlation Methods (Pearson, Spearman)Reference book chapter
6Relationship Analysis II: Linear RegressionReference book chapter
7Parametric Difference Tests: One-Sample, Independent, and Paired t-TestsReference book chapter
8MIDTERMAra Sınav
9Analysis of Variance (ANOVA)Reference book chapter
10Multiple Comparisons: Post-Hoc Tests and Effect SizeReference book chapter
11Categorical Data Analysis: Chi-Square Test of IndependenceReference book chapter
12Multivariate Analysis: MANOVA and AssumptionsReference book chapter
13Scale Development & Adaptation: Reliability Analysis (Cronbach’s Alpha)Reference book chapter
14Non-Parametric Difference Tests: Mann-Whitney U and Kruskal-WallisReference book chapter
15Applied Comprehensive Review with SPSSReference book ch..
16FINAL EXAMFinal Sınavı