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Description of Individual Course Units| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | FB148 | Quantitative Data Analysis with SPSS and LISREL Applications | Elective | 1 | 2 | 6 |
| | Level of Course Unit | | Second Cycle | | Objectives of the Course | | The course aims to provide graduate students with the basic concepts, knowledge and skills related to statistical applications in the field of Social Sciences. It is aimed to provide students with both the theoretical knowledge of statistical techniques, which are frequently used in Social Sciences, and the skills of application and interpretation through exemplary research situations. | | Name of Lecturer(s) | | Dr. Öğr. Üyesi İsmail SARİKAYA | | Learning Outcomes | | 1 | Understanding and applying statistical techniques used in quantitative data analysis | | 2 | To be able to comprehend and interpret analyzes in published research | | 3 | Performing analyzes through package programs, | | 4 | Arranging the analysis results with the help of tables and figures in accordance with the rules | | 5 | Reporting analysis results |
| | Mode of Delivery | | Normal Education | | Prerequisites and co-requisities | | None | | Recommended Optional Programme Components | | none | | Course Contents | | | Weekly Detailed Course Contents | |
| 1 | The purpose, importance, content, presentation of the course and general principles regarding the conduct of the course | | | | 2 | Introduction to statistics, basic concepts, installation of SPSS and LISREL packages, variables, measurements, scales | Readings:
Additional reading, discussion and study of source books | | | 3 | Data entry and preparation of data for analysis, description of data, normality and normality assumptions | Readings:
Additional reading, discussion and study of source books | | | 4 | Normal distribution and examination of normal distribution assumption in SPSS, descriptive data analysis | Readings:
Additional reading, discussion and study of source books | | | 5 | Parametric tests and their assumptions in SPSS | Readings:
Additional reading, discussion and study of source books | | | 6 | SPSS applications with correlation and linear regression analysis | Readings:
Additional reading, discussion and study of source books | | | 7 | t-test for independent groups and t-test for repeated measures analyzes and SPSS applications | Readings:
Additional reading, discussion and study of source books | | | 8 | Midterm exam | | | | 9 | One Way ANOVA, Two Way ANOVA and SPSS applications | Readings:
Additional reading, discussion and study of source books | | | 10 | Repeated Measures ANOVA and SPSS applications | Readings:
Additional reading, discussion and study of source books | | | 11 | Mixed ANOVA and SPSS applications | Readings:
Additional reading, discussion and study of source books | | | 12 | Multivariate ANOVA and SPSS applications | Readings:
Additional reading, discussion and study of source books | | | 13 | Exploratory Factor Analysis and SPSS applications | Readings:
Additional reading, discussion and study of source books | | | 14 | Confirmatory Factor Analysis and LISREL applications | Readings:
Additional reading, discussion and study of source books | | | 15 | Non-parametric tests and SPSS applications | Readings:
Additional reading, discussion and study of source books | | | 16 | Final | | |
| | Recommended or Required Reading | | • Hulsizer, M.R. & Woolf, L.M. (2009). A guide to teaching statistics: Innovations and best practices. West Sussex: Wiley-Blackwell.
• Kalaycı, Ş. (Edt.) (2006). SPSS uygulamalı çok değişkenli istatistik teknikleri (2. Baskı). Ankara: Asil Yayın Dağıtım.
• McMillan, J., & Schumacher, S. (2010). Research in education: Evidence-based inquiry (7th edition). Boston: Pearson.
• Muijs, D. (2004). Doing quantitative research in education with SPSS. London: Sage.
• Sipahi, B., Yurtkoru, E.S., & Çinko, M. (2008). Sosyal bilimlerde SPSS’le veri analizi (2. Baskı). İstanbul: Beta.
• Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed). Boston: Allyn and Bacon.
Ders kapsamında okutulması ve tartışılması planlanan tez, makale ve sunum gibi etkinlikler ilgili hafta içerisinde paylaşılacaktır. Kaynak seçiminde güncelliğin esas alınmasından dolayı ek kaynaklar değişebilmektedir. | | 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 | | Turkish | | Work Placement(s) | | none |
| | Workload Calculation | |
| Midterm Examination | 1 | 1 | 1 | | Final Examination | 1 | 2 | 2 | | Attending Lectures | 14 | 3 | 42 | | Individual Study for Mid term Examination | 8 | 6 | 48 | | Individual Study for Final Examination | 9 | 6 | 54 | | Performance | 14 | 3 | 42 | |
| Contribution of Learning Outcomes to Programme Outcomes | | LO1 | 5 | 3 | 4 | 2 | 3 | 3 | 5 | 1 | 5 | 4 | 3 | | LO2 | 5 | 4 | 2 | 2 | 4 | 4 | 1 | 3 | 3 | 5 | 1 | | LO3 | 5 | 5 | 3 | 3 | 3 | 2 | 4 | 4 | 4 | 1 | 3 | | LO4 | 5 | 5 | 4 | 5 | 5 | 5 | 3 | 3 | 1 | 3 | 3 | | LO5 | 5 | 4 | 3 | 5 | 1 | 1 | 1 | 5 | 3 | 5 | 5 |
| | * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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