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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 | | FS0301.3 | SPSS Applications | Elective | 3 | 6 | 3 |
| | Level of Course Unit | | First Cycle | | Objectives of the Course | | The aim of this course is to create the information infrastructure that will enable the participants to carry out their studies efficiently by transferring the basic statistical tools and analysis processes used in business life, undergraduate, graduate and doctoral fields by easily analyzing statistical data with package programs such as spss, and to teach the application of this infrastructure. | | Name of Lecturer(s) | | | Learning Outcomes | | 1 | Able to edit data in SPSS | | 2 | Calculate descriptive statistics in SPSS | | 3 | Tests hypotheses in SPSS | | 4 | Performs regression analysis in SPSS |
| | Mode of Delivery | | Normal Education | | Prerequisites and co-requisities | | - | | Recommended Optional Programme Components | | No | | Course Contents | | This course; Meeting, Explanation of the course and content, Scientific Research Process, Hypothesis and variable, Research Process: Defining the problem and knowledge, Research Process: Universe and sampling methods, Research Process: Questionnaire design and application methods, Introduction to SPSS, coding, data input and sample applications 1, Midterm exam, introduction to SPSS, coding, data entry and sample applications 2, Non-parametric tests: Chi-square, Man Whitney U, Sign etc. Tests and SPSS Applications, Reliability and validity analysis and SPSS Applications, Factor analysis and SPSS Applications, Research Report: Creating a report and writing a research project, Homework applications and presentations; includes topics. | | Weekly Detailed Course Contents | |
| 1 | Data collection and statistical series types | | | | 2 | Data and Scale Types | | | | 3 | Data Editing in SPSS Package Program | | | | 4 | The menus of the SPSS package program | | | | 5 | Data Entry, Data File Creation | | | | 6 | Graphical representation of data | | | | 7 | Calculating descriptive statistics in SPSS | | | | 8 | Mınd Exam | | | | 9 | Hypothesis testing in SPSS | | | | 10 | z-test in SPSS | | | | 11 | t-test in SPSS | | | | 12 | Analysis of variance in SPSS | | | | 13 | Chi-square test in SPSS | | | | 14 | Fınal Exam | | |
| | Recommended or Required Reading | | Julie Pallant, SPSS User Guide Step-by-Step Data Analysis with Spss, Memoir Publishing, 2nd Edition
Fatma Lorcu, Data Analysis with Examples SPSS Applied, Detay Publishing
Eyyub Yaraş and Mahir Nakip, SPSS Applied - Introduction to Marketing Research, Seçkin Publishing, 5th Edition
Sait Gürbüz and Faruk Şahin, Research Methods in Social Sciences, Seçkin Publishing, 3rd Edition | | 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 | 40 | | End Of Term (or Year) Learning Activities | 60 | | SUM | 100 |
| | Language of Instruction | | | Work Placement(s) | | No |
| | Workload Calculation | |
| Midterm Examination | 1 | 1 | 1 | | Final Examination | 1 | 2 | 2 | | Individual Study for Mid term Examination | 1 | 5 | 5 | | Individual Study for Final Examination | 1 | 12 | 12 | | Homework | 5 | 14 | 70 | |
| Contribution of Learning Outcomes to Programme Outcomes | | | * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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