COURSE UNIT TITLE

: STATISTICS FOR PSYCHOLOGY II

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
PSI 1012 STATISTICS FOR PSYCHOLOGY II COMPULSORY 2 2 0 6

Offered By

Psychology

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR DUYGU GÜNGÖR CULHA

Offered to

Psychology

Course Objective

To teach basic statistical concepts in social sciences and psychology, statistical
application, and interpretation

Learning Outcomes of the Course Unit

1   Understanding key concepts involved in psychological statistics
2   Choosing appropriate statistical techniques to psychological data
3   Be able to correctly decide the best statistical technic to psychological data
4   Be able to correctly apply statistical techniques to psychological data
5   Be able to correctly interpret results of analyses of psychological data
6   Be able to clearly convey orally and in writing the details of statistical

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introducing course content
2 Introduction of SPSS environment
3 Data Entry to SPSS
4 Data Editing with SPSS
5 Descriptive Statistics with SPSS
6 Creating graphics with SPSS
7 Recoding with SPSS, categorising data into groups
8 To design a research
9 Conducting correlation analyses with SPSS
10 Correlation Reporting
11 Testing the difference between groups (t-test)
12 Testing the difference for more than two groups (ANOVA)
13 linear regression analysis
14 General overview

Recomended or Required Reading

Büyüköztürk, Ş., Çokluk, Ö. ve Köklü, N. (2013, 12. baskı). Sosyal Bilimler için
Istatistik. Ankara: Pegem Akademi Yayınları.
Agresti, A. & Finlay, B. (2009). Statistical methods for the social sciences. New
Jersey: Pearson.

Planned Learning Activities and Teaching Methods

Lecturing, laboratory application, question-answer

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FIN FINAL EXAM
3 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + FIN * 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST * 0.60


Further Notes About Assessment Methods

Midterm, homework, final exam

Assessment Criteria

Midterm, final, assignments

Language of Instruction

Turkish

Course Policies and Rules

It is required to attent at least 70% of the courses.

Contact Details for the Lecturer(s)

Psychology Department, Office: 418
Phone: 0232 3019436
duygu.dungor@deu.edu.tr

Office Hours

Wed: 14.00-15.00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Labratory 14 2 28
Preparations before/after weekly lectures 14 2 28
Preparation for midterm exam 1 8 8
Preparation for final exam 1 10 10
Preparing assignments 2 10 20
Reading 1 10 10
Midterm 1 4 4
Final 1 4 4
TOTAL WORKLOAD (hours) 140

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.15455
LO.2545
LO.3545
LO.454455
LO.55444555
LO.65444555