COURSE UNIT TITLE

: STATISTICAL ANALYSIS IN RESEARCHES

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EBE 6012 STATISTICAL ANALYSIS IN RESEARCHES ELECTIVE 3 0 0 5

Offered By

Institute Of Education Sciences

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR ALI AKSU

Offered to

Educational Technologies
Geography Teacher Education
PAINTING- CRAFTS TEACHER EDUCATION
Educational Technology
Curriculum and Instruction
Social Studies Education
Primary Teacher Education
Turkish Language and Literature Teacher Education
ELEMENTARY MATHEMATICS TEACHER EDUCATION
Mathematics Teacher Education
Chemistry Teacher Education
History Teacher Education
Physics Teacher Education
Guidance and Psychological Counseling
Music Teacher Education
Educational Administration and Supervision
Science Teacher Education
Biology Teacher Education
Special Education
TURKISH LANGUAGE TEACHER EDUCATION

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   Used statistical techniques 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.) Accumulation, distribution and dimensions of the relationship overview.
2 Computer use and applications of statistics: SPSS (data entry, program, operating system)
3 Statistical Measures: Relationship Dimensions (simple and partial correlation)
4 Statistical Measures: Relationship Dimensions (simple linear regression analysis)
5 Some of the statistics used in analysis of reliability and validity of the tests.
6 Structural equation model: Confirmatory Factor Analysis (LISREL computer program)
7 Testing Differences Between Means: T-Tests
8 Testing Differences Between Means: T-Tests
9 Testing Differences Between Means: The F tests (two-factor anova)
10 Testing Differences Between Means: The F tests (two-factor ANOVA for repeated measures mixed)
11 Single-factor analysis of covariance
12 Differences Between Means Testing: Post-Hoc Multiple Comparison Tests
13 Nonparametric Tests: Chi-square, U, C, and Wilcoxson Tests
14 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 STT TERM WORK (SEMESTER)
2 FINS FINAL EXAM
3 FCG FINAL COURSE GRADE STT * 0.40 + FINS * 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) STT * 0.40 + RST * 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

The homeworks will be assessed by directly adding to the term work scores in semester. The exam dates will be indicated in the lesson plan. As the exam dates become definite, the previously announced dates may change.

Assessment Criteria

In-class participation and written homework, end-of-semester final homework and short report presentation.

Language of Instruction

Turkish

Course Policies and Rules

1. It is obligated to continue to at least 70% of lessons .
2. Behaviours such as copying in exams, clashing and making intials in the publications will be concluded with the opening of a disciplinary investigation.
3. The instructor has right to make quizzes. The scores obtained from quizzes and term work scores will be directly added to exam scores.

Contact Details for the Lecturer(s)

ali.aksu@deu.edu.tr

Office Hours

working hours during the week

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Tutorials 2 15 30
Preparations before/after weekly lectures 13 2 26
Project Preparation 1 5 5
Preparation for final exam 1 10 10
Preparing presentations 1 5 5
Design Project 1 8 8
Final 1 1 1
Project Assignment 1 1 1
TOTAL WORKLOAD (hours) 125

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15PO.16PO.17PO.18PO.19PO.20
LO.111
LO.211
LO.311
LO.411
LO.511
LO.611
LO.711

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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