Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | SÖB6006 | QUALITATIVE RESEARCH METHODS AND APPLICATIONS IN EDUCATION | Compulsory | 1 | 2 | 5 |
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Level of Course Unit |
Second Cycle |
Objectives of the Course |
Through to this course scientist candidates, intented to have can knowledge and skills for apply statistical programs and their meanings to make meaningful their measurement results. |
Name of Lecturer(s) |
Bilim Dalı Öğretim Elemanları |
Learning Outcomes |
1 | 1. Recognize the computer statistics programs. | 2 | 2. Define the analysis to be applied according to the type of the variable. | 3 | 3. Distinguish the conditions of application of parametric statistics. Distinguish the conditions of application of parametric statistics. | 4 | 4. Perform the appropriate analysis on the data set meets the objective conditions parametric statistical applications. | 5 | 5. Distinguish the conditions of application of non-parametric statistics. | 6 | 6. Perform appropriate analysis for the purpose on data sets that meet the conditions of non-parametric statistical applications. | 7 | 7. Araştırma amacına ve veri setinin özelliklerine uygun olarak SPSS ve ITEMAN’da verileri düzenler. | 8 | 8. In accordance with the characteristics of the research objectives and data sets edit data in ITEMAN and SPSS. | 9 | 9. In accordance with the characteristics of the research objectives and data sets carry out data in ITEMAN and SPSS. |
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Mode of Delivery |
Formal Education |
Prerequisites and co-requisities |
None |
Recommended Optional Programme Components |
None |
Course Contents |
• Experimental research in education, regression analysis, a multivariate analysis of variance and pair, group non-parametric tests used in the comparison means
• The correlation, significant parametric statistics for the dependent and independent samples
• The role and importance of computer statistics program in Education
• Introduction to computer statistical software package
• Analysis to be applied according to the type of variable
• The meaning of the parametric and nonparametric statistics
• SPSS and ıteman Features
• SPSS data entry and ıteman
• The arrangement of data in SPSS and ıteman
• Analysis of the data in SPSS and ıteman
• Tabulation of data
• Disclosure and presentation of Table
• Interpretation of Data
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Weekly Detailed Course Contents |
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1 | Computer statistics program in education and the importance of research in
| | | 2 | General characteristics of computer statistical software package
| | | 3 | Analysis to be applied according to the type of variable
| | | 4 | Use and application conditions of parametric and nonparametric statistics
| | | 5 | Basic features of measurement tools
| | | 6 | The internal and external validity of the research
| | | 7 | Examination
| | | 8 | Features of SPSS and processing of data with Excel
| | | 9 | The introduction of ITEMAN program and demonstration of data entry
| | | 10 | The arrangement of data in SPSS and ITEMAN
| | | 11 | Analysis of the data in SPSS and ITEMAN
| | | 12 | The data into graphs and tables
| | | 13 | Disclosure and presentation of table
| | | 14 | Interpretation and reporting of data
| | | 15 | Examining the group of statistical results and criticisms of the research in relevant areas
| | | 16 | Final | | |
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Recommended or Required Reading |
• Büyüköztürk, Ş. (2003). Sosyal bilimler için veri analizi el kitabı (3. baskı). Ankara: PegemA Yayıncılık.
• Fraenkel, J.R., & Wallen, N.E. (2006). How to design and evaluate research in education. NewYork: McGraw-Hill.
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Planned Learning Activities and Teaching Methods |
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Assessment Methods and Criteria | |
SUM | 0 | |
SUM | 0 | Yarıyıl (Yıl) İçi Etkinlikleri | 40 | Yarıyıl (Yıl) Sonu Etkinlikleri | 60 | SUM | 100 |
| Language of Instruction | | Work Placement(s) | None |
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Workload Calculation |
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Observation | 5 | 5 | 25 |
Field Work | 5 | 5 | 25 |
Case Study | 5 | 5 | 25 |
Criticising Paper | 5 | 5 | 25 |
Reading | 25 | 1 | 25 |
Report | 5 | 5 | 25 |
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Contribution of Learning Outcomes to Programme Outcomes |
LO1 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | LO2 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | LO3 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | LO4 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | LO5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | LO6 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | LO7 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | LO8 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | LO9 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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