Information Package / Course Catalogue
Educational Statistics
Course Code: BÖT624
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

At the end of the course, students will be able to input data of research and studies into the computer, they will be able to choose and apply the appropriate analysis for the data and put the results into tables and interpret the results.

Course Content

Importance of statistics science and education. Data and data types, gathering data and analyzing them. Commonly used statistics programs and the basic commands of them. Description of data view page of SPSS and doing the basic procedures. Application of descriptive and inferential statistics, interpreting and writing reports on them. Doing correlational analyses and interpreting the results.

Name of Lecturer(s)
Lec. Taner ARABACIOĞLU
Learning Outcomes
1.Students will be able to comprehend the importance of statistics in science and educational research
2.Students will be able to know about commonly used statsitics programs and their basic commands
3.Students will be able to put the data into the computer
4.Students will be able to comprehend the aims and features of descriptive and inferential statistics
5.Students will be able to distinguish the features and uses of parametrical and non-parametrical tests
6.Students will be able to analyze the data with suitable statistics and tests
7.Students will be able to put the results into tables and interpret them
8.Students will be able to interpret the analysis outputs
Recommended or Required Reading
1.Akhun, İ. (1988). Temel istatistiksel kavramlar H.Ü. Basılmış Ders Notları (3. Baskı). Ankara.
2.Blalock, M. H. (1972). Social statistics (2nd Ed). New York: McGraw-Hill Book Co.
3.Baykul, Y. (1999). İstatistik metodlar ve uygulamalar (3.Baskı). Ankara: Anı Yayıncılık.
4.Büyüköztürk, Ş. (2010). Sosyal bilimler için veri analizi el kitabı: Araştırma deseni SPSS uygulamaları ve yorum. Ankara: PegemA yayıncılık.
5.Grimm, L. G. (1993). Statistical application for the behavioral sciences. New York: John Wiley and Sons Inc. Mann, P. S. (1992). Introductory statistics. New York: John Wiley and Sons Inc.
6.Pallat, J. (2001). SPSS Survival manual: A step by step guide to data analysis using SPSS for Windows (Version 10). Buckingham: Open University Pres.
7.Raynald Levesque and SPSS Inc. (2007). Programming and Data management for SPSS® Statistics 17.0 A Guide for SPSS Statistics and SAS® Users. Chicago: SPSS Inc.
8.Smith, G. M. (1962). A simplified guide to statistics for psychologhy and education. New York: Holt, Rinehart and Education Inc. Vadum,
9.Fidell, S. A., Tabachnick, B. G., and Pearsons, K. S. (2010). The state of the art of predicting noise-induced sleep disturbance in field settings. Noise & Health, 12, 77-87.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction of the course: Content, necessity, importance, forming expectations, explaining the process and the criteria of evaluation. A general view to statistics.
Week 2 - Theoretical
Importance of statsitics in life and scientific studies and examples for practise.
Week 3 - Theoretical
Basic concepts: Statistics, parameter, universe, sample, data gathering instrumentsı, scales and types of them, data and types of them, variables and types of them.
Week 4 - Theoretical
Commonly used statistics programs (SPSS, Statistica, minitab, SAS) , general description of them.
Week 5 - Theoretical
Introduction of SPSS data input page and learning basic commands and doing practice on example data.
Week 6 - Theoretical
Coding data in SPSS, labeling and writing them.
Week 7 - Theoretical
Relational analyses: Correlation (Midterm Exam)
Week 8 - Theoretical
Doing descriptive statistics (mean, median, mode, frequency, percentage) on SPSS, putting the results into tables and intgerpreting them.
Week 9 - Theoretical
Doing descriptive statistics (Standard deviation, variance, range, kurtosis, skewness) on SPSS, putting the results into tables and intgerpreting them.
Week 10 - Theoretical
Parametrical statistics: Testing the differences between two means (t tests for related samples)
Week 11 - Theoretical
Parametrical statistics: Testing the differences between two means (t tests for unrelated samples)
Week 12 - Theoretical
Parametrical statistics: Testing the differences among more than two means (ANOVA for single group and unrelated samples)
Week 13 - Theoretical
Parametrical statistics: Testing the differences among more than two means (complicated- parametrical statistics: ANOVA (for single group) to test the differences among more than two means)
Week 14 - Theoretical
Introduction of the course: Content, necessity, importance, forming expectations, explaining the process and the criteria of evaluation. A general view to statistics.
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%20
Final Examination1%30
Assignment Examination5%20
Term Assignment1%30
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141356
Assignment23210
Term Project131215
Individual Work50315
Midterm Examination110212
Final Examination112214
TOTAL WORKLOAD (hours)122
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
PÇ-14
PÇ-15
OÇ-1
2
2
OÇ-2
2
OÇ-3
1
4
2
OÇ-4
2
OÇ-5
2
OÇ-6
2
4
OÇ-7
2
4
2
5
OÇ-8
3
2
5
Adnan Menderes University - Information Package / Course Catalogue
2026