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FACULTY of ECONOMICS and ADMINISTRATIVE SCIENCES / DEPARTMENT of ECONOMETRICS

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FACULTY of ECONOMICS and ADMINISTRATIVE SCIENCES / DEPARTMENT of ECONOMETRICS /
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EKO4003Computer Applications in Statistics - I3+0+0ECTS:7
Year / SemesterFall Semester
Level of CourseFirst Cycle
Status Compulsory
DepartmentDEPARTMENT of ECONOMETRICS
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 3 hours of lectures per week
LecturerDr. Öğr. Üyesi Erdinç KARAKULLUKÇU
Co-LecturerAsst. Prof. Dr. Uğur Şevik
Language of instructionTurkish
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 OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : To be able to explain the basic statistical concepts2,41,
LO - 2 : To be able to have knowledge about descriptive statistics2,41,
LO - 3 : To be able to encode the data on SPSS package program2,41,
LO - 4 : To be able to interpret the data in tables and graphs2,41,
LO - 5 : To be able to select appropriate statistical analysis method for a research2,41,
LO - 6 : To be able to perform statistical analysis appropriate to the problem using the SPSS package program2,41,
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

 
Contents of the Course
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.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Basic Statistical Concepts - Introduction to SPSS
 Week 2Variables, Scale Levels, Scale Types
 Week 3Creating a Data File and SPSS Data Entry
 Week 4Data Screening and Cleaning, Descriptive Statistics
 Week 5Normality Tests, Using Graphs to Describe and Explore Data
 Week 6Graphic Editing and Data Manipulation in SPSS
 Week 7Checking the Reliability of a Scale
 Week 8Internal Consistency of a Scale
 Week 9Midterm Exam
 Week 10Hypothesis Tests, One Sample t Test
 Week 11Independent Samples t Test
 Week 12Paired Samples t Test
 Week 13One-sample Nonparametric Tests
 Week 14Mann Whitney U Test for Two Independent Samples, Wilcoxon Signed Rank Test for Two Dependent Samples
 Week 15One-Way Analysis of Variance (One Way ANOVA), Kruskal-Wallis H Test, SPSS Calculations Related to Normal Distribution
 Week 16Final Exam
 
Textbook / Material
1Balcı, S., Ahi, B. 2016; SPSS Kullanma Kılavuzu: SPSS ile Adım Adım Veri Analizi, Anı Yayıncılık, İstanbul
 
Recommended Reading
1Durmuş, B., Çinko, M., Yurtkoru, E.S. 2012; Sosyal Bilimlerde SPSS'le Veri Analizi, Beta Yayınları, Ankara
2Karagöz, Y. 2018; SPSS ve AMOS Uygulamalı Bilimsel Araştırma Yöntemleri, Nobel Akademik Yayıncılık, Sivas
 
Method of Assessment
Type of assessmentWeek NoDate

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 workDuration (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
Laboratuar çalışması 0 0 0
Arasınav için hazırlık 8 4 32
Arasınav 1 1 1
Uygulama 3 14 42
Klinik Uygulama 0 0 0
Ödev 0 0 0
Proje 0 0 0
Kısa sınav 0 0 0
Dönem sonu sınavı için hazırlık 9 4 36
Dönem sonu sınavı 1 1 1
Diğer 1 0 0 0
Diğer 2 0 0 0
Total work load210