|
|
| ISL5515 | Research Methodology-II | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Second Cycle | | Status | Elective | | Department | DEPARTMENT of BUSINESS ADMINISTRATION | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face, Lab work | | 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: | | It is aimed to teach the qualitative and quantitative data analysis and to interpret results in business science researches. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | Define purposes of statistical analysis methods. | 1,2,3,4,5,6,7,8,9,10 | 1,3 | | PO - 2 : | Differentiate statistical analysis methods from each other. | 1,2,3,4,5,6,7,8,9,10 | 1,3 | | PO - 3 : | Benchmark statistical analysis methods. | 1,2,3,4,5,6,7,8,9,10 | 1,3 | | PO - 4 : | Use statistical analysis methods. | 4,5 | 1,3 | | PO - 5 : | Prepare and present a case study. | 1,2,3,4,5,6,7,8,9,10 | 1,3 | | 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 | | |
| Classification and analysis of qualitative data; case study, descriptive and content analysis, nonparametric hypothesis tests, reliability analysis, t-test, ANOVA, ANCOVA, regression models, discriminant analysis, bivariate and partial correlation analysis, canonical correlation analysis, factor analysis, cluster analysis and reliability analysis. |
| |
| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Course outline
| | | Week 2 | Case study and descriptive analysis | | | Week 3 | Content analysis
| | | Week 4 | Nonparametric relation tests
| | | Week 5 | Nonparametric difference tests
| | | Week 6 | Bivariate and partial correlation analysis
| | | Week 7 | t test analysis methods | | | Week 8 | ANOVA and ANCOVA analysis | | | Week 9 | Mid-term exam | | | Week 10 | Validity and reliability analysis
| | | Week 11 | Explanatory Factor analysis | | | Week 12 | Regression analysis | | | Week 13 | Discriminant and logistic analysis | | | Week 14 | Cluster analysis | | | Week 15 | Canonical correlation analysis
| | | Week 16 | End-of-term exam | | | |
| 1 | Kalaycı, Ş.2005; SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri, Asil Yayın Dağıtım, Ankara. | | | 2 | Altunışık R., Coşkun R., Bayraktaroğlu S.,Yıldırım E. 2007; Sosyal Bilimlerde Araştırma Yöntemleri: SPSS Uygulamalı, Sakarya Yayıncılık, 5. Baskı, Sakarya. | | | 3 | Yıldırım, A., Şimşek H. 2005; Sosyal Bilimlerde Nitel Araştırma Yöntemleri, Seçkin Yayıncılık, Ankara. | | | 4 | Özdamar, K.. 2000; Paket Programlar İle İstatistiksel Veri Analizi Cilt 1. Kaan Kitabevi, Eskişehir. | | | 5 | Özdamar, K.. 2000; Paket Programlar İle İstatistiksel Veri Analizi Cilt 2. Kaan Kitabevi, Eskişehir.. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 13/03/2014 | 2 | 30 | | Homework/Assignment/Term-paper | 12 | 13/05/2014 | 1 | 20 | | End-of-term exam | 16 | 13/06/2014 | 3 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 3 | 14 | 42 | | Laboratuar çalışması | 1 | 14 | 14 | | Arasınav için hazırlık | 30 | 1 | 30 | | Arasınav | 2 | 1 | 2 | | Ödev | 20 | 1 | 20 | | Dönem sonu sınavı için hazırlık | 40 | 1 | 40 | | Dönem sonu sınavı | 2 | 1 | 2 | | Total work load | | | 192 |
|