| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | MEY131 | Meta Analysis Applications with CMA | Elective | 1 | 1 | 6 |
|
| Level of Course Unit |
| Second Cycle |
| Objectives of the Course |
| At the end of this course, students will be provided with the necessary statistical information for their thesis. |
| Name of Lecturer(s) |
| Doç.Dr.Mesut ÖZTÜRK |
| Learning Outcomes |
| 1 | 1. Recognize descriptive statistics concepts (variables and types, normality, reliability).
2. Knows and applies basic difference tests (parametric and non-parametric)
3. Knows and applies basic relationship tests (Pearson, Spearman, Chi-square) |
|
| Mode of Delivery |
| Normal Education |
| Prerequisites and co-requisities |
| no |
| Recommended Optional Programme Components |
|
| Course Contents |
| Basic analysis of descriptive statistics and inferential statistics |
| Weekly Detailed Course Contents |
|
| 1 | The aim, content and operation of the course | | | | 2 | Knows the basic concepts of statistics
Recognize the concepts in SPSS program | | | | 3 | Make basic operations (such as frequency table, data correction) that can be done in SPSS. | | | | 4 | Knows the conditions of normality and makes SPSS application. | | | | 5 | Knows T-tests and uses SPSS. | | | | 6 | Knows T-tests and uses SPSS. | | | | 7 | Knows the assumptions of one-way ANOVA and applies them on SPSS. | | | | 8 | Midterm | | | | 9 | Performed Kruskal Wallis H test, Mann Whitney U and Wilcoxon signed ranks test and applies it on SPSS | | | | 10 | Knows chi-square independence test and makes application on SPSS | | | | 11 | Calculated Pearson and Spearman correlation coefficient | | | | 12 | Knows the basic assumptions of ANCOVA and applies them on SPSS | | | | 13 | Determine the appropriate statistics for these research problems by creating various research problems | | | | 14 | General evaluation of the course | | | | 15 | Final exam | | |
|
| Recommended or Required Reading |
| • Bursal, M. (2017). SPSS ile temel veri analizleri. Ankara: Anı Yayıncılık
• Kalaycı, Ş. (2009). SPSS uygulamalı çok değişkenli istatistik teknikleri. Ankara: Asil Yayıncılık
• Seçer, İ. (2015). SPSS ve LISREL ile pratik veri analizi. Ankara: Anı Yayıncılık
• Tavşancıl, E. (2014). Tutumların ölçülmesi ve SPSS ile veri analizi. Ankara: Nobel Yayıncılık |
| Planned Learning Activities and Teaching Methods |
|
| Assessment Methods and Criteria | |
| Midterm Examination | 1 | 100 | | SUM | 100 | |
| Final Examination | 1 | 100 | | SUM | 100 | | Term (or Year) Learning Activities | 30 | | End Of Term (or Year) Learning Activities | 70 | | SUM | 100 |
| | Language of Instruction | | | Work Placement(s) | | no |
|
| Workload Calculation |
|
| Midterm Examination | 1 | 2 | 2 |
| Final Examination | 1 | 2 | 2 |
| Field Work | 14 | 3 | 42 |
| Individual Study for Mid term Examination | 1 | 30 | 30 |
| Individual Study for Final Examination | 1 | 20 | 20 |
| Reading | 14 | 3 | 42 |
| Homework | 14 | 3 | 42 |
|
| Contribution of Learning Outcomes to Programme Outcomes |
|
| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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