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| EKO4003 | Computer Applications in Statistics - I | 3+0+0 | ECTS:7 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of ECONOMETRICS | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Doç. Dr. Sinem KOÇAK | | Co-Lecturer | Asst. Prof. Dr. Uğur Şevik | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | By using the SPSS package program, the aim is to provide students with the ability to choose and use the statistical method that should be used in a research, to classify and analyze research data, to interpret the results and to write a report on the results. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | explain the basic statistical concepts | 2 - 4 | 1, | | LO - 2 : | have knowledge about descriptive statistics | 2 - 4 | 1, | | LO - 3 : | encode the data on SPSS package program | 2 - 4 | 1, | | LO - 4 : | interpret the data in tables and graphs | 2 - 4 | 1, | | LO - 5 : | select appropriate statistical analysis method for a research | 2 - 4 | 1, | | LO - 6 : | perform statistical analysis appropriate to the problem using the SPSS package program | 2 - 4 | 1, | | 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), LO : Learning Outcome | | |
| This course includes topics such as basic statistical concepts, introduction of the SPSS Package Program, creating a data file, data entry, data scanning and cleaning, calculations regarding the reliability of a scale, solving problems related to parametric and non-parametric methods using SPSS. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Basic Statistical Concepts - Introduction to SPSS | | | Week 2 | Variables, Scale Levels, Scale Types | | | Week 3 | Creating a Data File and SPSS Data Entry | | | Week 4 | Data Screening and Cleaning, Descriptive Statistics | | | Week 5 | Normality Tests, Using Graphs to Describe and Explore Data | | | Week 6 | Graphic Editing and Data Manipulation in SPSS | | | Week 7 | Checking the Reliability of a Scale | | | Week 8 | Internal Consistency of a Scale | | | Week 9 | Midterm Exam | | | Week 10 | Hypothesis Tests, One Sample t Test | | | Week 11 | Independent Samples t Test | | | Week 12 | Paired Samples t Test | | | Week 13 | One-sample Nonparametric Tests | | | Week 14 | Mann Whitney U Test for Two Independent Samples, Wilcoxon Signed Rank Test for Two Dependent Samples | | | Week 15 | One-Way Analysis of Variance (One Way ANOVA), Kruskal-Wallis H Test, SPSS Calculations Related to Normal Distribution | | | Week 16 | Final Exam | | | |
| 1 | Balcı, S., Ahi, B. 2016; SPSS Kullanma Kılavuzu: SPSS ile Adım Adım Veri Analizi, Anı Yayıncılık, İstanbul | | | |
| 1 | Durmuş, B., Çinko, M., Yurtkoru, E.S. 2012; Sosyal Bilimlerde SPSS'le Veri Analizi, Beta Yayınları, Ankara | | | 2 | Karagöz, Y. 2018; SPSS ve AMOS Uygulamalı Bilimsel Araştırma Yöntemleri, Nobel Akademik Yayıncılık, Sivas | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Practice | 9 | 11/2023 | 1 | 50 | | End-of-term exam | 16 | 01/2024 | 1 | 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 | 4 | 14 | 56 | | Arasınav için hazırlık | 8 | 4 | 32 | | Arasınav | 1 | 1 | 1 | | Uygulama | 3 | 14 | 42 | | Dönem sonu sınavı için hazırlık | 9 | 4 | 36 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 210 |
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