| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits |
| 2 | PSYC104 | STATS. FOR PSYCHOLOGY | 4+2+0 | 5 | 10 |
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Language of Instruction
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English
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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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Type of Program
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Formal Education
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Type of Course Unit
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Compulsory
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Course Delivery Method
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Face To Face
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Objectives of the Course
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Develop an understanding of basic statistical and research concepts
Summarize data effectively
Develop an understanding of commonly used statistical analyses
Introduce statistical programs and develop software skills
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Course Content
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This course is all about how researchers design experiments, interpret the results of those experiments and summarize their findings. It is intended to introduce the basic methods to describe and summarize data and methods of statistical hypothesis testing that are used frequently in psychology. The course starts with how to summarize data, distributions, sample size and statistical power; goes on with primary inferential analyses such as t-tests, ANOVA, correlation, regression and nonparametric tests.
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Course Methods and Techniques
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Active learning activities
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Prerequisites and co-requisities
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( PSYC103 )
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Course Coordinator
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None
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Name of Lecturers
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Associate Prof.Dr. M.Siyabend KAYA siyabend.kaya@agu.edu.tr
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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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All other sources will be handed out on Canvas
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Lecture notes will be delivered via Canvas.
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Canvas Portal
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4
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1
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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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Quiz/Küçük Sınav
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2
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%
30
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Final examination
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1
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%
70
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Total
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3
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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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Kısa Sınav
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4
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60
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240
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Final Sınavı
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1
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60
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60
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Total Work Load
| |
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Number of ECTS Credits 10
300
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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
| LO1: Summarizes data |
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2
| LO2: Conducts basic statistical tests |
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3
| LO3: Select proper analyses for the research question |
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4
| LO4: Uses statistical programs and runs the analyses |
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5
| Reports the stats results |
Weekly Detailed Course Contents
| Week | Topics | Study Materials | Materials |
| 1 |
Introduction to research and statistics
Frequency tables, graphs
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| 2 |
Measures of Central Tendency
Measures of Variation
Measures of Position
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| 3 |
Exploratory Data Analysis
Probability, probability samples
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| 4 |
Normal distribution
Confidence Intervals and Sample Size
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Contribution of Learning Outcomes to Programme Outcomes
Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant
https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=71052&lang=en