| Course Type | Elective Course |
|---|
| Course Level | Master's Degree With Thesis |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 5 |
|---|
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- Understand the types of questions that the statistical method addresses;
- Apply the method to other examples and situations;
- Implement the method using software (e.g., SPSS)
- Interpret the results in a way that addresses the question of interest;
- Communicate the purposes of the analyses, the findings from the analysis, and the implicationsof those findings.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | Basic Concepts in Statistics, Variance and Covariance analysis, Multiple regression analysis, Exploratory and Confirmatory Factor Analysis, Path Analysis, AMOS and LISREL aplications, Power, Effect Size, the interaction among power, effect size, and sample size. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Overview of Descriptive Statistics |
|
2nd Week |
Sampling Distribution in Statistics, Data Creation, Data Cleaning, Types of Data, Data Screening |
|
3rd Week |
Overview of One Sample Tests |
|
4th Week |
Overview of Two Sample Cases, Determining Sample Size, Power and Effect Size |
|
5th Week |
ANOVA Models (One-way) |
|
6th Week |
ANOVA Models (Two-way, Three-way) |
|
7th Week |
Repeated ANOVA (One-Way) |
|
8th Week |
Repeated ANOVA (Two-Way) |
|
9th Week |
Covariance Analysis in ANOVA Models |
|
10th Week |
MANOVA Models |
|
11th Week |
Canonical Correlation |
|
12th Week |
Multivariate Regression Analysis |
|
13th Week |
Multivariate Regression Analysis |
|
14th Week |
Discriminant Analysis, Factor Analysis |
|
15th Week |
|
|
| Recommended or Required Reading | Pituch, K.A. & Stevens, J.P. (2016). Applied Multivariate Statistics for the Social Sciences: Analyses with SAS and IBM?s SPSS, 6th Edition. Routledge, Taylor & Francis. New York.
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics. Boston: Pearson/Allyn & Bacon.
|
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Problem Solving
- Practice
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
40 |
| Total(%) |
|
40 |
| Contribution of In-term Studies to Overall Grade(%) |
|
40 |
| Contribution of Final Examination to Overall Grade(%) |
|
60 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
12 |
12 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
10 |
2 |
20 |
| Preparation for Final exam |
1 |
15 |
15 |
| Course hours |
14 |
1 |
14 |
| Preparation for Midterm exam |
1 |
20 |
20 |
| Laboratory (including preparation) |
14 |
2 |
28 |
| Final exam |
1 |
10 |
10 |
| Homework |
10 |
4 |
40 |
| Total Work Load | 159 |
| Total Work Load / 30 (h) | 5.3 |
| ECTS Credit of the Course | 5 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
