| Course Type | Elective Course |
|---|
| Course Level | Master's Degree With Thesis |
|---|
| Year of Study | - |
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| Semester | - |
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| ECTS | 5 |
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| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Know the basic concepts in Statistics
- Understand the concept of the different methods.
- Comprehend the importance of the hypothesis testing.
- Based on the research aim, determine and apply the appropriate statistical analysis techniques and interpret correctly the results of these analyses.
|
| Mode of Delivery | Face to face |
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| Prerequisites | No |
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| Recommended Optional Programme Components | None |
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| Course Description | Presentation of SPSS package program, descriptive statistics, hypothesis testing, linear correlation techniques, simple and multiple linear regression analysis, t-test, analysis of variance, non parametric statistics (Chi-square test, Mann Whitney U test, Kruskal Wallis test, Wilcoxon test), statistical analysis for psychological test construction. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Basic concepts in statistics (population, sample, variables and types) |
|
2nd Week |
Organizations of data (Frequency distributions and tables, graphics of data)Central tendency measures (mean, median, mode, percentiles) SPSS Practices Attributions of the distributions (positive and negative skewness) |
|
3rd Week |
Variability Measures ( standart deviations, variance etc in unclassified data )Normal distribution, standart scores (z and t scores) SPSS Practices |
|
4th Week |
Correlation Techniques SPSS Practices (Pearson product-moment correlation, Spearman's rank correlation, point-biserial correlation)SPSS Practices |
|
5th Week |
Correlation Techniques- continue (Phi correlation, bi-serial correlation, tetrachoric correlation) |
|
6th Week |
Regression Techniques (mutliple regression)Variable selection methods (backward, forward and stepwise) SPSS Practices |
|
7th Week |
Inferential statistics : (a) Estimation of population parameters, (b) Hypothesis testing.Estimation of population parameters Central Limit Teorem, sampling distrubution, concept of standart error Confidence interval, z and t distrubutions and concept of degrees of fredoom |
|
8th Week |
Mid-term Exam |
|
9th Week |
Concept of hypothesis, types of hypothesis Hypothesis testing.Accept areas of one -tailed and two-tailed hypothesis Error types which made in hypothesis testing (Type I error and Type II error) |
|
10th Week |
Comparison of a sample mean with the population mean: z and t test Comparision of two samples' means: dependent and independent samples Standart error of difference Comparison of two independent samples' means: Independent sample t test SPSS Practices |
|
11th Week |
Comparison of two dependent samples: one sample t test , direct-difference method |
|
12th Week |
One way Anova-SPSS Practices |
|
13th Week |
Non-Parametric Tests: X2 test (fit test and independency test)---SPSS Practices |
|
14th Week |
Non-Parametric Tests: Man-Whitney U test, Kruskall Wallis H test |
|
| Recommended or Required Reading | Baykul, Y. (2000). Eğitimde ve psikolojide ölçme. Ankara: ÖSYM Yayınları.
Büyüköztürk, Ş. (2002). Sosyal Bilimler İçin Veri Analizi El Kitabı İstatistik, Araştırma Deseni -SPSS Uygulamaları ve Yorum. Ankara: Pegem Yayıncılık.
Karasar, N. (2000). Bilimsel araştırma yöntemi. (10. Basım).Nobel Yayın Dağıtım: Ankara.
Özdamar, K. (2002). Paket Programlar İle İstatistiksel Veri Analizi (Çok Değişkenli Analizler). Eskişehir: Kaan Kitabevi.
|
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Questions/Answers
- Problem Solving
- Other
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Other |
1 |
10 |
| 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 |
20 |
20 |
| Course hours |
14 |
1 |
14 |
| Preparation for Midterm exam |
1 |
20 |
20 |
| Laboratory (including preparation) |
14 |
2 |
28 |
| Final exam |
1 |
15 |
15 |
| Homework |
10 |
4 |
40 |
| Total Work Load | 169 |
| Total Work Load / 30 (h) | 5.63 |
| ECTS Credit of the Course | 5 |
|
| Language of Instruction | Turkish |
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| Work Placement(s) | No |
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