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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS AFY 6022 MULTIVARIATE DATA ANALYSIS ELECTIVE 3 0 0 8

Offered By

Disaster Administration

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR ŞENAY ÜÇDOĞRUK BIRECIKLI

Offered to

Disaster Administration

Course Objective

The primary objective of this course is to provide an understanding of multivariate statistical techniques used in public policy analysis.

Learning Outcomes of the Course Unit

1   Use decision tools to make data-driven evaluation and policy choices 2   Employ statistical methods appropriately 3   Distinguish between different approaches to decision making using quantitative research 4   Identify the decision tools appropriate for different situations in research 5   Appreciate public administration, political science, sociological and economic etc. contexts of disaster administration research

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 The Simple Linear Regression Model 2 The Multiple Regression Model 3 Further Inference in the Multiple Regression Model 4 Nonlinear Regresion Functions 5 The Regression Model with Dummy Variables 6 Logistic Regression 7 MIDTERM 8 Correlation Analysis 9 Canonical Correlation Analysis 10 Discriminant Analysis 11 Factor Analysis 12 Statistical Package Application 13 Cluster Analysis 14 Multidimensional Scaling 15 Statistical Package Application 16 FINAL

Recomended or Required Reading

Field, Andy, Discovering Statistics Using SPSS,SAGE,2009. Baker, Therese L., Doing Social Research,McGraw-Hill International Editions, 1994. Ticehurts, G.W. - A.J.Veal, Business Research Methods, Longman, 2000. Nakip, Mahir, Pazarlama Araştırmaları, Seçkin yayınevi,2003. Akgül, Aziz Osman Çevik, Istatistiksel Analiz Teknikleri, 2003.

Planned Learning Activities and Teaching Methods

To be announced.

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 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

To be announced.

Assessment Criteria

To be announced

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 24 3 72 Preparations before/after weekly lectures 14 3 42 Preparing assignments 1 20 20 Preparing presentations 1 20 20 Preparation for midterm exam 1 20 20 Preparation for final exam 1 20 20 Midterm 1 2 2 Final 1 2 2 TOTAL WORKLOAD (hours) 198

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 LO.1 4 4 4 4 5 5 LO.2 4 4 4 4 5 5 LO.3 4 4 5 4 4 4 LO.4 5 5 5 5 4 4 LO.5 5 5 5 5 5 4