| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits |
| 3 | PSK213 | Sosyal Bilimlerde Bilgisayar Uygulamaları | 2+2+0 | 3 | 6 |
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Language of Instruction
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Turkish
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Level of Course Unit
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Bachelor's Degree
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Department / Program
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Psychology
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Mode of Delivery
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Face to Face
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Type of Course Unit
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Compulsory
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Objectives of the Course
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To reinforce the basic statistical concepts used in Social Informatics, to learn SPSS data analysis is used.
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Course Content
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Introduction to data processing, use of packet programs for statistical analysis, application of standard significance tests, basic regression and variance analysis.
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Course Methods and Techniques
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Prerequisites and co-requisities
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None
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Course Coordinator
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None
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Name of Lecturers
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Undefined ders bu dönem açılmamıştır
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Assistants
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None
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Work Placement(s)
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No
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Recommended or Required Reading
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Resources
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Dennis Howitt & Dunkan Cramer, (2011), Introduction to Spss Statistics in Psychology (For version 19 and earlier) 5th Edition, Pearson, (ISBN: 9780273734260)
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ders notları
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Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
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In-Term Studies
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Mid-terms
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1
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%
40
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Final examination
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1
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%
60
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Total
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2
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%
100
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ECTS Allocated Based on Student Workload
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Activities
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Total Work Load
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Course Duration
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14
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2
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28
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Hours for off-the-c.r.stud
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14
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4
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56
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Assignments
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14
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4
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56
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Mid-terms
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1
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3
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3
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Practice
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14
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2
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28
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Final examination
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1
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3
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3
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Total Work Load
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Number of ECTS Credits 6
174
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Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
| No | Learning Outcomes |
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1
| Can understand the interface of SPSS program. |
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2
| Can introduce basic menus. |
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3
| New database can be created. |
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4
| Describe the descriptive statistics. |
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5
| Can apply the Significance Tests. |
Weekly Detailed Course Contents
| Week | Topics | Study Materials | Materials |
| 1 |
Basic Concepts of Statistics
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| 2 |
Introduction of spss program
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| 3 |
Variable Sorting, Combining Files, Data Table Conversion, File Splitting
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| 4 |
Data Conversion Menus
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| 5 |
Descriptive Statistics
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Difference of Parametric and Non-Parametric Tests
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| 7 |
Correlation
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| 8 |
Average Comparison
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| 9 |
One Way Variance Analysis, Post Hoc Tests, Variance Homogeneity
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| 10 |
Single and Versatile Linear Models
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| 11 |
Reliability Analysis
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| 12 |
Regression Analysis
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| 13 |
Factor Analysis
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| 14 |
Nonparametric tests
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Contribution of Learning Outcomes to Programme Outcomes
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https://obs.gedik.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=97554&curProgID=5593&lang=en