Information Package
baskent.edu.tr

Ph.D. on Education Administration

EYP701

DATA ANALYSIS IN EDUCATION POLIEY RESEARCH

Course Code
EYP701
Semester
First Term (Fall)
Theory+Practice
3 + 0
ECTS
10
Course TypeCompulsory Course
Course LevelDoctorate Of Science
Year of Study1
SemesterFirst Term (Fall)
ECTS10
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. understand and apply univariate and multivariate statistical analyses in analyzing large scale assessment results,
  2. evaluate research papers especially in educational administration and supervision,
  3. carry out data analyses in large scale assessment programs in order to put forth education policy decisions,
  4. use SPSS package program effectievely,
  5. prepare educational policy papers based on the data analyses results.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNo
Course DescriptionThis course has been designed to provide comprehensive information about univariate and multivariate statistical analyses in evaluating the data sets obtained in national and international large scale assessments. The major focus will be on research studies which can be used to provide results for education policy decisions.
Course Contents
WEEK TOPICS
1st Week General overview of the desciptive statistics and central limit theorem
2nd Week General overview of the univariate tests
3rd Week Type I, Type II error rates, statistical power and effect size
4th Week Analysis of variance models: one-way, two way, three way and repeated ANOVA models
5th Week Practicum on ANOVA models
6th Week Introduction to multivariate designs
7th Week Two group multivariate analysis of variance (MANOVA)
8th Week k-group MANOVA
9th Week Regression models and their use in education policy research
10th Week Simple lineer and multiple regression analysis
11th Week Bivariate regression and path analysis
12th Week Latent variable models
13th Week HLM regression models, data mining
14th Week Practicum on regression models
Recommended or Required ReadingStevens, J. (2009). Applied Multivariate Statistics fort he Social Sciences. New York: Routledge

Hinkle, D. H. (2003). Applied Statistics in Behavioral Sciences. New York: Houghton Mifflin Company

Joreskog,K.G., Sorbom,D. (1993). Structural equation modeling with the SIMPLIS command language. Lincolnwood: Scientific Software International, Inc.

Raudenbush,S.W., Bryk,A.S., Cheong, Y.F., Congdon Jr. R. (2001).Hierarchical linear and non-linear modeling. Lincolnwood: Scientific Software International, Inc.
Planned Learning Activities and Teaching Methods Dönem boyunca öğrencilerin veri analizi projelerini ve eğitim politikası raporunu başarılı bir şekilde tamamlamaları beklenmektedir. Veri analizi projesinde PISA, TIMSS ya da OECD, diğer ulusal uluslararası geniş ölçekli durum belirleme uygulamalarına yönelik çalışmalarından elde edilecek veri setinin analiz edilmesini içermektedir. Analizlerden elde edilen sonuçlar eğitim politikası raporu oluşturmada kullanılacaktır. Bu iki proje öğrencilerin performansını değerlendirmede kullanılacaktır. Dönem boyunca öğrencilerden projelerini sunmaları da beklenmektedir. Dersin devamlılığı ve konuların sürekliliği için derse ve sınıf içi uygulamalara düzenli katılım gösterilmesi önerilmektedir. , Lecture, Problem Solving, Questions/Answers, Project, Report Preparation, Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Practice 1 50
Project 1 50
Total(%) 100
Contribution of In-term Studies to Overall Grade(%) 100
Contribution of Final Examination to Overall Grade(%) 0
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 12 12
Preparation for Quiz 3 3 9
Individual or group work 14 4 56
Preparation for Final exam 1 30 30
Course hours 14 1 14
Preparation for Midterm exam 1 30 30
Laboratory (including preparation) 14 2 28
Final exam 1 15 15
Homework 6 6 36
Quiz 5 2 10
Report writing 10 6 60
Total Work Load300
Total Work Load / 30 (h)10
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No

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