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| ISLZ5983 | Applied Research Methods | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Second Cycle | | Status | Compulsory | | Department | DEPARTMENT of BUSINESS ADMINISTRATION | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Dr. Öğr. Üyesi Mustafa Özgün ATALAY | | Co-Lecturer | - | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The aim of this course is to develop students competence in analyzing and interpreting quantitative research data using statistical methods. The course enables students to effectively use SPSS statistical software for data entry, management, and the application of basic and advanced statistical analyses, and to evaluate findings within a scientific framework. Furthermore, the course aims to equip students with the ability to conduct reliability and validity analyses of measurement instruments, select appropriate parametric and non-parametric tests, and present statistical results in accordance with academic reporting standards. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | Formulate basic statistical analyses used in social science research | 3 - 7 | 1,3, | | PO - 2 : | Run and interpret basic statistical analyses using SPSS. | 3 - 7 | 1,3, | | PO - 3 : | Interpret statistical analysis results accurately | 3 - 7 | 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 | | |
| This course provides an applied approach to the statistical analysis of quantitative research data. Using SPSS statistical software, students learn variable definition, data entry procedures, and data management techniques. Descriptive statistics (frequency, percentage, mean, standard deviation), homogeneity measures, and normality tests are covered. Reliability and validity analyses are conducted to evaluate measurement instruments. Both parametric tests (t-test, ANOVA) and non-parametric tests (Mann Whitney U, Kruskal Wallis H) are examined comparatively. Correlation and regression analyses are applied to analyze relationships between variables. The course adopts a practice-oriented structure aimed at developing students competence in interpreting and reporting statistical findings. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Defining variables and entering survey data in SPSS | | | Week 2 | Defining variables and entering survey data in SPSS | | | Week 3 | Frequency Analysis, Percentage Calculation, and Cross-Tabulation | | | Week 4 | Mean, Standard Deviation, and Measures of Homogeneity. | | | Week 5 | Testing for Normality and Assumptions of Normal Distribution | | | Week 6 | Reliability Analysis and Internal Consistency Measurement | | | Week 7 | Assessing Validity: Measurement Accuracy in Quantitative Research | | | Week 8 | Mean Comparison Using t-Test Procedures | | | Week 9 | Mid-term exam | | | Week 10 | Analysis of Variance for Comparing Group Means | | | Week 11 | Mann Whitney U Test as a Non-Parametric Alternative to the t-Test | | | Week 12 | Kruskal Wallis Test as a Non-Parametric Alternative to ANOVA. | | | Week 13 | Assignment | | | Week 14 | Correlation and Regression Analyses | | | Week 15 | Correlation and Regression Analyses | | | Week 16 | Final exam | | | |
| 1 | Barry-Stehlik, Kenneth ve Babinec, Anthony, J. 2017, Data Analysis with IBM SPSS Statistics, Packt Publishing | | | |
| 1 | Sürücü, Lütfi vd. 2023, SPSS, Amos ve Process Macro ile İlişkisel Aracı Düzenleyici ve Yapısal Eşitlik Modellemesi, Detay Yayıncılık | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | ../../202... | 2 | 30 | | Homework/Assignment/Term-paper | 13 | ../../202... | 1 | 20 | | End-of-term exam | 16 | ../../202... | 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 | | Yüz yüze eğitim | 3 | 8 | 24 | | Sınıf dışı çalışma | 6 | 8 | 48 | | Arasınav için hazırlık | 4 | 8 | 32 | | Arasınav | 3 | 1 | 3 | | Ödev | 3 | 8 | 24 | | Dönem sonu sınavı için hazırlık | 6 | 6 | 36 | | Dönem sonu sınavı | 3 | 1 | 3 | | Diğer 1 | 5 | 5 | 25 | | Total work load | | | 195 |
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