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| GSM5515 | Quantitive Data Analysis in Art Education | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Second Cycle | | Status | Elective | | Department | | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | -- | | Co-Lecturer | None | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The teaching and applying of statistical methods which are being used in art education is aimed. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | know the statistical methods being used in art education | 2,3,4,5,6,9 | 3,4 | | PO - 2 : | know which method is appropriate for which type of research | 2,3,4,5,6,9 | 3,4 | | PO - 3 : | make measurements by using suitable statistical methods | 2,3,4,5,9 | 3,4 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Students are being introduced about general and special statistical methods that are being used in social science and their usage in real life. Execution of statistical methods are being applied which are classified regarding their kind of research classification. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Informing about general statistic approachs used in quantitative data analysis. | | | Week 2 | Informing about basic data coding by presenting SPSS program | | | Week 3 | Making sample applications by informing descriptive statistic measurement | | | Week 4 | Sample applications on statiscical data entry and descriptive statistic measurement | | | Week 5 | Informing about forming the descriptive statistic tables and commenting and informing the students about mean level points | | | Week 6 | Making applications by informing about reliability coefficient measurements and commenting on reliability | | | Week 7 | Sample applications about data entry, descriptive statistic and reliability coefficients and meta-information about factor analysis | | | Week 8 | Mid-term exam | | | Week 9 | Detailed informations about factor analysis and sample applications | | | Week 10 | Informing about correlation coefficient measurements and sample applications | | | Week 11 | Informing about computation of item total correlations and how to use with factor analysis and sample applications | | | Week 12 | Explaining the effect of normality distribution test on determining the parametric and ono-parametric tests and sample applications | | | Week 13 | Explaining the parametric tests (t test, anova, etc..) and informing how it can used in which researchs | | | Week 14 | Explaining the non-parametric tests (u test, kruskal wallis, etc..) and informing how it can used in which researchs | | | Week 15 | Informing about designs can be used with experimental and survey studies in art education and determining the statistical measurements inteded for this designs | | | Week 16 | Final Exam | | | |
| 1 | Büyüköztürk, Ş. (2006). Sosyal Bilimler İçin Veri Analizi El Kitabı, PegemA Yayıncılık, Ankara | | | 2 | Köklü. N. ve Büyüköztürk, Ş. (2000). Sosyal Bilimler İçin İstatistiğe Giriş, PegemA Yayıncılık, Ankara | | | 3 | Baş. T. (2008). Anket Nasıl Hazırlanır Uygulanır Değerlendirilir, Seçkin Yayıncılık, Ankara | | | 4 | İslamoğlu. H. A. (2009). Sosyal Bilimlerde Araştırma Yöntemleri, Beta Yayıncılık, İstanbul | | | |
| 1 | Balcı. A. (2009). Sosyal Bilimlerde Araştırma Yöntem Teknik ve İlkeler, PegemA Yayıncılık, Ankara | | | 2 | Büyüköztürk, Ş. (2001). Deneysel Desenler Öntest Sontest Kontrol Grubu DEsen ve Veri Analizi, PegemA Yayıncılık, Ankara | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Practice | 8 | 2016 | 2 | 30 | | Homework/Assignment/Term-paper | 12 | 2016 | 2 | 20 | | End-of-term exam | 16 | 2016 | 2 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | | | | |
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