| Course Type | Elective Course |
|---|
| Course Level | Bachelor's Degree |
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| Year of Study | - |
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| Semester | - |
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| ECTS | 4 |
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| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Uses and interprets package programs for descriptive and inferential statistical analysis,
- Evaluates the analysis results in terms of statistical error,
- Decides and applies statistical analysis appropriate to the research question,
- Interprets the results of the analyzes made in appropriate to the research question,
- Performs hypothesis tests appropriate to the research question and interprets the results,
- Make inferences about the results of the analysis by using the properties of standard distributions used in parametric tests,
- Evaluates the results of statistical analysis in terms of practical significance.
|
| Mode of Delivery | Face to face |
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| Prerequisites | Yes(EDS205) |
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| Recommended Optional Programme Components | |
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| Course Description | In this course, advanced statistical concepts and issues related to the use of statistical techniques and their applications in social sciences research are discussed. At the end of the course, students are expected to perform descriptive and inferential statistical analyses using package programs, interpret the results of the analyses, and evaluate the results of statistical analyses related to Type I and Type II error. The main objective is for students to decide on the appropriate statistical analysis for the research question, to perform the analysis using real or simulated data sets, and to interpret the results in relation to the research question. Students are expected to comprehend the central limit theorem and the basics of hypothesis testing, to make inferences about the results of the analysis by using the z, t and F distribution properties used in parametric tests, to evaluate the power of the test and the practical importance of the result in their comments. |
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| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Basic Concepts, Universe, Sample, Variable, Statistics, Parameter, Descriptive and Inferential Statistics |
|
2nd Week |
Creating and Cleaning Data, Basic Statistical Analysis, Drawing and Interpreting Graphics |
|
3rd Week |
Central Distribution and Dispersion Measures and Their Use |
|
4th Week |
Normal Distribution Properties and Using Normal Distribution in Probability |
|
5th Week |
Correlation and Simple Linear Regression Analysis |
|
6th Week |
Central Limit Theorem and Hypothesis Testing |
|
7th Week |
Hypothesis Testing: Single Sample Hypothesis Tests |
|
8th Week |
Midterm Exam Week |
|
9th Week |
Assumptions of Test Statistics, Effect Size, Power of Test, Type I and Type II Error Control |
|
10th Week |
Hypothesis Testing: Comparison of Multiple Independent Means, One-Way Analysis of Variance |
|
11th Week |
Hypothesis Testing: Comparison of Multiple Dependent Means, Repeated Analysis of Variance |
|
12th Week |
Hypothesis Testing: Comparison of Multiple Independent Means, Two-Way Analysis of Variance |
|
13th Week |
Statistical Control: One-Way Covariance Analysis Techniques in Variance Analysis |
|
14th Week |
Multiple Regression Analysis |
|
15th Week |
Multiple Regression Analysis |
|
| Recommended or Required Reading | 1. Hinkle, D. E., Wiersma, W., & Jurs, S. G. (1988). Applied Statistics for the Behavioral Sciences. Boston: Houghton Mifflin Company. (e-kitap)
2. Arıcı, H. (1984). İstatistik Yöntemler ve Uygulamalar. Ankara: Meteksan Matbaacılık.
3. Baykul, Y. (1999). İstatistik: Metodlar ve Uygulamalar. Ankara: Anı Yayıncılık |
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| Planned Learning Activities and Teaching Methods |
- Lecture
- Discussion
- Questions/Answers
- Other
|
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| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Assignment |
5 |
30 |
| Total(%) |
|
60 |
| Contribution of In-term Studies to Overall Grade(%) |
|
60 |
| Contribution of Final Examination to Overall Grade(%) |
|
40 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
17 |
2 |
34 |
| Preparation for Final exam |
1 |
10 |
10 |
| Course hours |
13 |
3 |
39 |
| Preparation for Midterm exam |
1 |
7 |
7 |
| Laboratory (including preparation) |
8 |
2 |
16 |
| Final exam |
1 |
2 |
2 |
| Homework |
5 |
2 |
10 |
| Total Work Load | 120 |
| Total Work Load / 30 (h) | 4 |
| ECTS Credit of the Course | 4 |
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| Language of Instruction | Turkish |
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| Work Placement(s) | No |
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