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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EMT 3008 SAMPLING TECHNIQUES COMPULSORY 3 0 0 5

Offered By

Econometrics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ISTEM KESER

Offered to

Econometrics (Evening) Econometrics

Course Objective

The main objective of the course is to teach sampling methods to be able to create statistical reliable survey research

Learning Outcomes of the Course Unit

1   To be able to define the sampling methods 2   To be able to detection of sampling errors 3   To be able to identify sampling methods suitable for the purposes of research. 4   To be able to reveal problems encountered in field research 5   To be able to formulate the probability sampling methods theoretically

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 The history of survey sampling, and basic sampling concepts 2 Introduce to probability and non-probability sampling methods 3 Simple random sampling: estimation of population total, mean and ratio 4 The estimation of sample size 5 Stratified random sampling: estimation of population total, mean and proportion 6 Proportional, Neyman and Optimum Allocation and the sample size. 7 Proportional, Neyman and Optimum Allocation and the sample size. 8 Mid-term 9 Mid-term 10 Systematic sampling 11 Cluster Sampling 12 Single stage cluster sampling: clusters of equal sizes 13 Single stage cluster sampling: clusters of unequal sizes 14 Sources of error in surveys

Recomended or Required Reading

1- Temel Örnekleme Yöntemleri,Taro Yamane, Literatür Yayıncılık, 2001 2- Sampling Techniques, W.G.Cochran, John Wiley&Sons, 1977

Planned Learning Activities and Teaching Methods

This course will be presented using class lectures, class discussions, overhead projections, and demonstrations.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 MTEG MIDTERM GRADE MTEG * 1 3 FIN FINAL EXAM 4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Midterm exam 40% Final exam 60%

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Prof.Dr.Levent Şenyay : levent.senyay@deu.edu.tr Yrd.Doç.Dr.Istem Köymen KESER : istem.koymen@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 12 3 36 Preparations before/after weekly lectures 12 2 24 Preparation for midterm exam 1 25 25 Preparation for final exam 1 28 28 Final 1 1 1 Midterm 1 1 1 TOTAL WORKLOAD (hours) 115

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 1 LO.2 1 LO.3 1 LO.4 1 LO.5 1