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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS YDI 6038 QUANTITATIVE RESEARCH: DATA COLLECTION AND ANALYSIS ELECTIVE 2 0 0 6

Offered By

English Language Teacher Education

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

ASSOCIATE PROFESSOR YEŞIM BEKTAŞ ÇETINKAYA

Offered to

English Language Teacher Education

Course Objective

To teach the selection, development and analysis of various types of instruments for collecting research data; to explain the quantitative data analysis and interpretation; and to describe mixed method procedures within quantitative paradigm.

Learning Outcomes of the Course Unit

1   1. To review the steps in research process 2   2. To Create constitutive and operational definitions of variables 3   3. To Identify and select populations and samples 4   4. To Establish validity of an instrument 5   5. To Measuring instrument reliability 6   6. To Create attitudinal scales 7   7. To Create instruments to assess cognitive abilities 8   8. To Compare and contrast different methods of data collection 9   9. To Analyze data 10   10. To identify mixed method procedures

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Steps in the research process Manipulation of Data by Computer,Organizing data files, Transforming data 2 Variables Constitutive and operational definitions of variables Data Analysis,Summarizing data,Correlation analysis 3 Population and Sample Data Analysis,Conducting statistical tests and calculating effect size 4 Creating attitudinal scale Mixed method procedures, Concurrent Nested Design 5 Likert Semantic Differential Mixed method procedures,Evaluating mixed method research 6 Developing instruments to assess cognitive ability Final Assessment 7 Developing instruments to assess cognitive ability 8 Midterm Assessment 9 Establishing Validity and Reliability of an Instrument 10 Collecting Data Managing non-response error

Recomended or Required Reading

Creswell, J. W. (2014). Research Design: Qualitative, Quantitative and Mixed Methods Approaches. Los Angeles: Sage Dillman, D.A. , Smyth, J.D.,& Christian, L.M.(2014). Surveys. New Jersey:Wiley Lewis-Beck, M.S. (1995). Data Analysis: An Introduction. Thousand Oaks:Sage

Planned Learning Activities and Teaching Methods

Lecture, discussion, analysis of conducted studies, completing mini research project

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTEG MIDTERM GRADE 2 ASG ASSIGNMENT 3 FCG FINAL COURSE GRADE 4 FCG FINAL COURSE GRADE MTEG * 0.30 +ASG* 0.10 + FCG* 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.30 + ASG * 0.10 + RST * 0.60 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

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 14 2 28 Preparations before/after weekly lectures 14 5 70 Preparation for midterm exam 1 10 10 Preparation for final exam 1 13 13 Preparing assignments 1 24 24 Final 1 2 2 Midterm 1 1 1 TOTAL WORKLOAD (hours) 148

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 PO.11 PO.12 PO.13 LO.1 4 5 5 5 5 5 5 5 5 5 5 5 4 LO.2 4 5 5 5 5 5 5 5 5 5 5 5 4 LO.3 4 5 5 5 5 5 5 5 5 5 5 5 4 LO.4 4 5 5 5 5 5 5 5 5 5 5 5 4 LO.5 4 5 5 5 5 5 5 5 5 5 5 5 4 LO.6 4 5 5 5 5 5 5 5 5 5 5 5 4 LO.7 4 5 5 5 5 5 5 5 5 5 5 5 4 LO.8 4 5 5 5 5 5 5 5 5 5 5 5 4 LO.9 4 5 5 5 5 5 5 5 5 5 5 5 4 LO.10 4 5 5 5 5 5 5 5 5 5 5 5 4