Information Package / Course Catalogue
Computer Applied Statistics
Course Code: REKR547
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: 6
Objectives of the Course

Introduction to SAS, Minitab, Systat, Statistica and providing examples. Providing students with the ability to use statistical softwares necessary for introduction and advanced statistical education.

Course Content

Statistical software interfaces, data entry and data derivation using these softwares, generating tables and graphics, calculating descriptive statistics, parametric tests, nonparametric tests, regression- correlation analysis

Name of Lecturer(s)
Assoc. Prof. Doğukan Batur Alp GÜLŞEN
Learning Outcomes
1.Students will gain the ability to use effectively at least one statistical software which is highly crucial for researchers and statisticians nowadays
2.Students will be able to use statistical software interfaces, data entry and data derivation using these softwares, generating tables and graphics
3.Students will be able to calculate descriptive statistics
4.Students will learn parametric tests, nonparametric tests
5.Students will learn regression-correlation analysis.
Recommended or Required Reading
1.Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2012). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları. Pegem Akademi.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to statistical softwares interfaces
Week 2 - Theoretical
Calculation of test statistics and descriptive statistics
Week 3 - Theoretical
Testing of statistical methods (normality, linearity, extreme values, missing values, multiple connection pro.
Week 4 - Theoretical
Correlation analyzes (Pearson Moment Correlation Coefficient, Spearman-Brown Row Correlation Coefficie.
Week 5 - Theoretical
Regression analysis (simple linear regression analysis, multiple linear regression analysis)
Week 6 - Theoretical
Analyzes of validity determination methods (exploratory factor analysis, Cohen kappa analysis, inter-rater
Week 7 - Theoretical
Introduction to structural equilibrium and confirmatory factor analysis (LISREL application)
Week 8 - Theoretical
Introduction to structural equilibrium and confirmatory factor analysis (LISREL application) and evaluation
Week 9 - Theoretical
Analyzes of reliability estimation methods (stability, equivalence, calculation of internal consistency coefficient, Fundamentals of hypothesis testing.
Week 10 - Theoretical
K-square analyzes
Week 11 - Theoretical
T-tests (t-test and nonparametric alternative for single sample, t-test and nonparametric alternative for in
Week 12 - Theoretical
One way ANOVA and nonparametric alternatives
Week 13 - Theoretical
Two way ANOVA
Week 14 - Theoretical
One-way ANOVA for repeated measures and evaluation
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory100110
Assignment42010120
Final Examination1101020
TOTAL WORKLOAD (hours)150
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
OÇ-1
5
4
3
3
3
OÇ-2
5
4
3
3
3
OÇ-3
5
4
3
3
3
OÇ-4
5
4
3
3
3
OÇ-5
5
4
3
3
3
Adnan Menderes University - Information Package / Course Catalogue
2026