# COURSE UNIT TITLE

: COMPUTER AIDED QUANTITATIVE METHODS IN PSYCHOLOGY I*

#### Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
PSI 6001 COMPUTER AIDED QUANTITATIVE METHODS IN PSYCHOLOGY I* COMPULSORY 3 0 0 12

PSYCHOLOGY

#### Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

#### Course Coordinator

ASISTANT PROFESSOR DUYGU GÜNGÖR CULHA

PSYCHOLOGY

#### Course Objective

The aim of the course is to teach computer aided statistical methods for psychological research focuses on advanced data analysis using computers. Students will consider experimental design in psychology, extending analysis of variance into several advanced topics such as planned and unplanned comparisons, multiple random factors, power analysis, regression (multiple, loglinear and logistic), analysis of covariance, and metaanalysis.

#### Learning Outcomes of the Course Unit

 1 Be able to understand key concepts involved in psychological statistics and the use of computers (statistical package programs). 2 Be able to understand basic statistical techniques (conceptually and numerically). 3 Be able to correctly apply statistical techniques to psychological data 4 Be able to correctly interpret results of analyses of psychological data 5 Be able to clearly convey orally and in writing the details of statistical analyses and results.

Face -to- Face

None

None

#### Course Contents

 Week Subject Description 1 Review of basic statistical concepts I 2 Review of basic statistical concepts II 3 Getting to know SPSS I 4 SPSS 5 Exploring Assumptions 6 Correlation 7 Regression 8 Multiple regression 9 Midterm Exam 10 Comparing Two Means 11 Comparing Several Means 12 Repeated Measures ANOVA 13 Factorial ANOVA 14 Mixed ANOVA

Field, A. (2009). Discovering Statistics Using SPSS. Dubai: Sage Publications

Lecture
Presentation
Homework

#### Assessment Methods

 SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 STT TERM WORK (SEMESTER) 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.30 + FIN* 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.30 + RST* 0.40

None

#### Assessment Criteria

LO 1-2: Assessed with Midterm exam
LO 3-5: Assessed with homework/report, presentation and final exam

English

To be announced.

#### Contact Details for the Lecturer(s)

seda.dural@ieu.edu.tr

To be announced.

None