COURSE UNIT TITLE

: ADVANCED RESEARCH TECHNIQUES

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EYD 6023 ADVANCED RESEARCH TECHNIQUES ELECTIVE 3 0 0 8

Offered By

Educational Administration and Supervision

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR ALI AKSU

Offered to

Educational Administration and Supervision

Course Objective

After this course the students will gain following behavioral characteristics
1. To apply for the scientific method to educational problems
2. To be able to develop educational measurement tools.
3. To chose and apply proper sampling techniques
4. To chose and apply proper statistical analysis techniques in processes of hypothesis testing
5. Write research project

Learning Outcomes of the Course Unit

1   How to construct and interpret data summarization procedures for quantitative and qualitative data.
2   Understand the importance of sampling
3   How the statistics obtained from samples can be used to make statistical inference about population parameters
4   Construct and interpret confidence interval estimate of a population mean and statistical equivalency of two populations
5   Formulate and test hypotheses about a population mean and understanding the duality between tests of hypotheses and confidence interval
6   Criticize former researches
7   Develop scientific attitude
8   Develop critical and analytical thinking

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Reviewing former knowledge: Scientific method, functions of science, scientific attitude and ethics, science, technology, innovation.
2 Theoretical framework of the researches. Research problems and models. Quantitative researches, qualitative researches, historical researches.
3 Data, data collection, processing of data. Quantitative and qualitative data.
4 Variables, measurements and scales. Errors in educational measurement, Measurement means in education. Examples of various measurement tools.
5 How to develop Likert Type scale. Increasing reliability and validity, Construct validity: Basic idea of factor analysis as data reduction method. Principal Component analysis. Confirmatory factor analysis.
6 How to develop achievement tests. Increasing test reliability and validity. Ways of calculating reliability of multiple-choice tests: Test re test method, Spearman-Brown formula, KR20 Formula and KR21 Formula.
7 Exercises, correction and evaluation of the students papers.
8 Midterm exam
9 Population and samples, sampling techniques. Random sampling, accidental and convenience samples and examples
10 Testing statistical hypotheses: Confidence intervals. Ho and H1 Hypothesis.
11 Proportions, percentages and related hypothesis testing techniques. Non parametric statistics, Chi-square, related researches.
12 t test, analysis of variance. (One factor, three factor, multi factor) Analysis of covariance, and examples
13 The measurement of relationship. Linear and multiple regression analysis and examples
14 Writing the research report. Evaluating previous researches. New trends in educational research and their limitations.
15 Final exam

Recomended or Required Reading

Balcı, Ali. (2004). Sosyal Bilimlerde Araştırma. Ankara: Pegem Yayıncılık.
Babbie, Earl. (2004) The Practice of Social Research. 10th Edition. USA: Wadsworth/Thomson Inc.
Boumo, Gary D. (1987). A Handbook of Social Science Research, a Practical Guide for Students. New Edition. Revised and Expanded. New York: Oxford University Press.
Büyüköztürk Şener. Sosyal Bilimler Için Veri Analizi El Kitabı. Birinci Baskı, Ankara: Pegem Yayıncılık, 2002
Christensen, Larry B. (2004). Experimental Methodology. Ninth Edition. USA: Pearson Education. www.ablongman.com
Clifford, T. Morgan., R.A. King., J.R. Weisz., &J. Schopler. (1986) Introduction to Psychology. Seventh Edition. McGraw-Hill International Editions, Psychology Series.
Dancey, P. Christine; Reidy, J. (2004) Statistics Without Maths for Pschology, Using SPSS For Windows TM. Third Edition. England: Person Education Limited.
Deobold B. Van Dalen (1973). Understanding Educational Research. An Introduction. Third Edition. McGraw-Hill

Planned Learning Activities and Teaching Methods

Presentation, discussion, seminar and practical works. Because of tight relationship between the subjects/behavioral characteristics, students are expected to attend classes and to keep up with practical work.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTEG MIDTERM GRADE
2 FCG FINAL COURSE GRADE
3 FCG FINAL COURSE GRADE MTEG * 0.40 + FCG * 0.60
4 RST RESIT
5 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

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

reside.kabadayi@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 13 7 91
Preparation for midterm exam 1 25 25
Preparation for final exam 1 35 35
Midterm 1 1 1
Final 1 3 3
TOTAL WORKLOAD (hours) 194

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8
LO.154255555
LO.254155555
LO.354433333
LO.455334445
LO.555555555
LO.655544444
LO.744555555
LO.843533333

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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