• HOME
• ABOUT US
  • Name Address
  • General Description
  • Governance
  • Academic Calendar
  • Degree Programmes
  • List of Programmes in English
  • General Admission and Registration Procedures
  • Credit Mobility and Recognition of Prior Learning
  • ECTS Credit Allocation
  • Academic Guidance
  • Contacts
• Degree Programmes
  • Third Cycle Programmes (Doctorate Degree)
  • Second Cycle Programmes (Master's Degree)
  • First Cycle Programmes (Bachelor's Degree)
  • Short Cycle Programmes (Associate's Degree)
• GENERAL INFORMATION FOR STUDENTS
  • Cost of Living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Disabled Students
  • Insurance
  • Financial Supports
  • Student Affairs Office
  • Practical Information for International Students
  • Language Courses
  • Work Placement Possibilities
  • Sports, Social and Cultural Facilities
  • Student Associations and Clubs
  • About İzmir - Turkey
• INTERNATIONAL RELATIONS
  • International Relations Office
  • Registration Procedures
  • Agreements
  • Coordinators
  • Documents
  • List of Programmes in English
  • ECTS / DS Labels

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS KPS 5026 ADVANCED STATISTICS IN PSYCHOLOGY* COMPULSORY 3 0 0 9

Offered By

Clinical Psychology

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSISTANT PROFESSOR SELVA ÜLBE AĞIRBAŞARAP

Offered to

Clinical Psychology

Course Objective

The goals of the course are to develop the skills necessary to identify an appropriate technique, estimate models, and interpret results for independent research and to evaluate contemporary social research critically by using advanced quantitative methods. The course covers Multiple linear regression, moderated and mediated regression, logistic regression.

Learning Outcomes of the Course Unit

1   Being able to choose appropriate statistical procedure for analysing particular research data 2   Being able to use statistical programs in advanced level 3   Being able to interpret the statistical results of a research 4   Being able to report appropriately the results of a research 5   Being able to planning a variety of research 6   Being able to write a research article

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to mutiple statistics 2 Linear regression 3 Linear regression 4 Mediated regression 5 Mediated regression 6 Moderated regression 7 Moderated regression 8 Logistic regression 9 Logistic regression 10 Confirmatory factor analysis 11 Confirmatory factor analysis 12 Structural Equation Modeling-introduction 13 Structural Equation Modeling 14 General Overview

Recomended or Required Reading

Tabaschnic and Fidel (2001). Using multiple statistics. USA:Allen&Bacon Şimşek (2007). Yapısal Eşitlik Modeli. Ankara: Ekinoks Yayınları

Planned Learning Activities and Teaching Methods

Lecturing, computer application

Assessment Methods

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

Further Notes About Assessment Methods

None

Assessment Criteria

midterm and final

Language of Instruction

Turkish

Course Policies and Rules

Attendance of 70% is obligatory.

Contact Details for the Lecturer(s)

Assistant Prof. Selva Ülbe Ağırbaşarap selva.ulbe@deu.edu.tr Psychology Department Room: 418

Office Hours

Firday 10:00 - 11:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Preparing assignments 5 15 75 Preparing presentations 1 10 10 Final 1 20 20 Midterm 1 15 15 Reading 5 10 50 Final 1 3 3 Midterm 1 3 3 TOTAL WORKLOAD (hours) 218

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 LO.1 5 4 4 LO.2 5 4 4 LO.3 5 4 LO.4 5 5 4 4 LO.5 5 5 4 LO.6 5 4 4 4