>
Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Statistical Methods In Science Education FBO109 Elective Master's degree 1 Spring 8

Name of Lecturer(s)

Associate Prof. Dr. Ömer ACAR

Learning Outcomes of the Course Unit

1) Describe basic concepts of statistics used in behavioral sciences.
2) Use SPSS for parametric tests.
3) Report and interpret SPSS output in accordance with APA style.
4) Investigate parametric tests and their assumptions related to research questions within a project.

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Learning Outcomes
1 High Middle Low No relation Middle Low Low No relation No relation Low No relation No relation No relation Low Low
2 Middle Low High Low High High Low No relation No relation High Low No relation No relation Low Low
3 High Middle Middle No relation Middle Middle Middle No relation No relation High Low No relation Low Middle Low
4 High High High Middle High High Low Low High High Middle Low Middle Middle Low

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

İnilizce

Course Contents

General information about statistical analysis methods used for evaluation of data obtained in science education researches and SPSS applications. statistical analysis methods used in validity and reliability studies in the preparation of a success test and attitude scale in the field of science education. Statistical Analysis of Variance (Anova, Manova), Probability, Correlation Analysis, Regression Analysis, Hypothesis Generation and Hypothesis Testing, Sampling Distribution and Confidence Interval Estimation, Hypothesis Testing Errors, Selection of Appropriate Statistics, t-test, F Statistic ), Ki-square analysis method.

Weekly Schedule

1) Information about the contents of the course program and discussion about intra-and extra-curricular activities of the course of the students.
2) Statistical methods used in science education such as t test, F test
3) Hypothesis testing, sample disribution, errors in hypothyesis testing
4) Correlation and regression analysis
5) Applying appropriate statistical methods in terms of the aim of the study
6) Data handling methods
7) The statistical analysis methods used for the validity and reliability studies in the preparation of a success test in the field of science education.
8) Midterm
9) The statistical analysis methods used for the validity and reliability studies in the preparation of an attitude scale in the field of science education.
10) To apply the methods of statistical analysis used for the validity studies of the prepared of an achievement test in the field of science education.
11) Applying reliability methods
12) Examining the validity of a survey
13) Examining the validity of a survey
14) Examining the reliability and validity of the achievement tests
15) Course evaluation
16) Final exam

Recommended or Required Reading

1- Uygulamalı Temel İstatistik Yöntemler Özkan Ünver - Hamza Gamgam, 2008 5.baskı
2- İstatistik Analiz Metodları Bilge Aloba Köksal, 2003 Çağlayan Yayınevi
3- Pozitivist Metodoloji Bilimsel Araştırma Tasarımı İstatistiksel Yöntemler Analiz ve Yorum, İrfan Erdoğan Erk Yayınları; İstanbul, 2007
4- İnternet deki bilimsel yayın tarama motorları

Planned Learning Activities and Teaching Methods

1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Demonstration
6) Group Study
7) Lab / Workshop
8) Project Based Learning


Assessment Methods and Criteria

Contribution of Semester Studies to Course Grade

50%

 

Number

Percentage

Semester Studies

Midterm Examination

1

40%

Project

1

60%

 

Contribution of Final Examination to Course Grade

50%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required