COURSE UNIT TITLE

: EDUCATIONAL STATISTICS AND COMPUTER APPLICATIONS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EYD 6024 EDUCATIONAL STATISTICS AND COMPUTER APPLICATIONS ELECTIVE 3 0 0 8

Offered By

Educational Administration and Supervision

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

ASSISTANT PROFESSOR YAŞAR YAVUZ

Offered to

Educational Administration and Supervision

Course Objective

In this course students are in the process, the basic statistical concepts and techniques of scientific research achievements will receive the recognition and use.

Learning Outcomes of the Course Unit

1   Scientific Research: Understanding the importance of statistical methods.
2   Basic statistical information.
3   Recognize and use of statistical measures
4   To use statistical package programs.
5   Scientific research to choose the appropriate statistical techniques.
6   Tables to show the findings of statistical analysis techniques.
7   Using statistical techniques
8   To interpret the findings of scientific research.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Statistics and Research: Basic Concepts (variable, population, sample, etc.)
2 Accumulation, distribution and dimensions of the relationship overview.
3 Computer use and applications of statistics: SPSS (data entry, program, operating system)
4 Statistical Measures: Relationship Dimensions (simple and partial correlation)
5 Statistical Measures: Relationship Dimensions (simple linear regression analysis)
6 Some of the statistics used in analysis of reliability and validity of the tests.
7 Mid-term exam
8 Structural equation model: Confirmatory Factor Analysis (LISREL computer program)
9 Testing Differences Between Means: T-Tests
10 Testing Differences Between Means: The F tests (two-factor anova)
11 Testing Differences Between Means: The F tests (two-factor ANOVA for repeated measures mixed)
12 Single-factor analysis of covariance.
13 Statistics and Research: Basic Concepts (variable, population, sample, etc.)
14 Differences Between Means Testing: Post-Hoc Multiple Comparison Tests. Nonparametric Tests: Chi-square, U, C, and Wilcoxson Tests. Computer Software Packages outcomes reporting.
15 Final exam

Recomended or Required Reading

1. Büyüköztürk, Ş.; Ö. Ç. Bökeoğlu; N. Köklü (2009) Sosyal Bilimler Için Istatistik. Ankara: Pegem Akademi.
2. Büyüköztürk, Ş. (2010) Sosyal Bilimler Için Veri Analizi El Kitabı, Ankara: Pegem Akademi.
3. Tan, Ş. (2008) Öğretimde Ölçme ve Değerlendirme. Ankara: PEGEM Yayınevi
4. Tekin, V. N. (2006) Istatistiğe Giriş, Ankara: Seçkin Yayıncılık.
5. Kaptan, S. (1993). Bilimsel Araştırma ve Istatistik Teknikleri. Ankara.
6. Karasar, N. (1995). Bilimsel Araştırma Yöntemi (7. Basım). Ankara: 3A Araştırma Eğitim
7. Danışmanlık. Tavşancıl, E. (2002). Tutumların Ölçülmesi ve SPSS ile Veri Analizi. Ankara: Nobel yayın dağıtım.

Planned Learning Activities and Teaching Methods

Discussion, group work, lecture, question-answer, cooperative learning techniques

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

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

yasar.yavuz@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
Case study 2 10 20
Preparations before/after weekly lectures 13 6 78
Preparation for midterm exam 1 25 25
Preparation for final exam 1 32 32
Midterm 1 3 3
Final 1 3 3
TOTAL WORKLOAD (hours) 200

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8
LO.145345445
LO.235355335
LO.345445345
LO.445435445
LO.555535345
LO.655435435
LO.755345335
LO.855455335

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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