11111

COURSE INTRODUCTION AND APPLICATION INFORMATION


psikoloji.ieu.edu.tr

Course Name
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
Spring
Prerequisites
None
Course Language
Course Type
Required
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course Application: Experiment / Laboratory / Workshop
Course Coordinator -
Course Lecturer(s)
Assistant(s) -
Course Objectives
Learning Outcomes The students who succeeded in this course;
  • Understand key concepts involved in psychological statistics.
  • Understand basic statistical techniques (conceptually and numerically).
  • Be able to correctly apply statistical techniques to psychological data.
  • Be able to correctly interpret results of analyses of psychological data.
  • Be able to clearly convey orally and in writing the details of statistical analyses and results.
Course Description

 



Course Category

Core Courses
X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Brief Survey of the Course Content and Brief Overview of the Previous Semester
2 Hypothesis Testing Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London:Sage (Selected sections: Chapter 2).
3 Comparing Two Means: The Independent t-test Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London:Sage (Selected sections: Chapter 9).
4 Comparing Two Means: The Independent t-test Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London:Sage (Selected sections: Chapter 9).
5 Comparing Several Means: The One-way ANOVA Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London:Sage (Selected sections: Chapter 10).
6 Comparing Several Means: The One-way ANOVA Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London:Sage (Selected sections: Chapter 10).
7 Mid-term Exam I
8 Repeated Measures ANOVA Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London:Sage (Selected sections: Chapter 13).
9 Repeated Measures ANOVA Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London:Sage (Selected sections: Chapter 13).
10 Factorial ANOVA Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London:Sage (Selected sections: Chapter 12).
11 Factorial ANOVA Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London:Sage (Selected sections: Chapter 12).
12 Mid-term Exam II
13 Non-parametric Tests Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London:Sage (Selected sections: Chapter 15).
14 Non-parametric Tests Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London:Sage (Selected sections: Chapter 15).
15 Application
16 Overview of Semester
Course Notes/Textbooks Field, A. (2009). Discovering statistics using SPSS (3rd ed). London: Sage
Suggested Readings/Materials 1) Howell, D. C. (1997). Statistical methods for psychology (4th ed.). Belmont, CA: Wadsworth Publishing. 2) Howitt, D. & Cramer, D. (2008). Introduction to statistics in psychology and Introduction to SPSS in psychology: For version 16 and earlier (4th ed.). Harlow: Pearson.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
8
40
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
2
40
Final Exam
1
20
Total

Weighting of Semester Activities on the Final Grade
10
80
Weighting of End-of-Semester Activities on the Final Grade
1
20
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
16
2
Field Work
Quizzes / Studio Critiques
8
4
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
2
16
Final Exams
1
20
    Total
148

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 To be able to assess psychological concepts and perspectives, interpret and evaluate data using scientific methods X
2 To be able to develop a curiosity and interest towards the mind and its phenomena, to possess a sense of critical and scientific reflexion and ability to analyze new information. X
3 Ability to make use of theoretical and applied knowledge in local and global levels. X
4 To have a basic knowledge of other disciplines that can contribute to psychology and to be able to make use of this knowledge X
5 To possess and value societal, scientific and ethical principles in collecting, interpreting and publishing psychological data X
6 To have knowledge of how psychology is positioned as a scientific discipline from a historical perspective, and to know with what methods it views behavioural and mental processes X
7 To be able to distinguish between the emphases of fundamental theories and perspectives of psychology (behavioural, biological, cognitive, evolutionary, social, developmental, humanistic, psychodynamic and sociocultural) and compare and express their differences and similarities, contributions and limitations X
8 The competence to share psychological knowledge based and qualitative and quantitative data with experts and lay people, using effective communication skills X
9 To have the awareness of interpersonal and societal problems and phenomena and adopt this awareness in psychological problems and researches. X
10 Competence to make use of applied and theoretical psychological knowledge to make contributions to industrial development and provide solutions to problems X
11 To possess essential knowledge of techniques and instrumentation for psychological measurement and evaluation X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 

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