Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | FBE615-14 | STATISTICS TECNIQUES AND DATA ANALYSIS | Compulsory | 1 | 1 | 6 |
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Level of Course Unit |
Second Cycle |
Objectives of the Course |
The aim of this course in the field of science education researchers with quantitative research data to provide information about their data and statistical methods will use this data to provide information about how to use the SPSS program |
Name of Lecturer(s) |
Yrd.Doç.Dr. İkramettin DAŞDEMİR |
Learning Outcomes |
1 | Fen eğitim ile ilgili nicel araştırmada kullanılan temel istatistik kavramlarını bilir. | 2 | Fen eğitiminde kullanılan istatistiği anlar. | 3 | Fen eğitimi çalışmalarında elde edilmiş verilerin SPSS programında veri girişini uygular. | 4 | Fen eğitimi çalışmalarında elde edilmiş verilerin SPSS programında analiz eder. | 5 | Know the basic concepts of statistics used in quantitative research on science education. to understand the meaning extractor statistic in used science education Data obtained in the study of science education implements SPSS data entry. Data obtained in the study of science education analyzes with SPSS. |
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Mode of Delivery |
Formal Education |
Prerequisites and co-requisities |
None |
Recommended Optional Programme Components |
None |
Course Contents |
In this course, the basic concepts of science education statistical data used in the analysis of these concepts to be addressed, and statistical data analysis computer programs used in the package will be informed about the use of the SPSS data analysis |
Weekly Detailed Course Contents |
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1 | Informing students about the content and purpose of the course
| | | 2 | The definition of the basic concepts of statistics in used science education
| | | 3 | Frequency distributions and description of these distributions | | | 4 | Probability, evaluate the standard normal distribution and the standard scores | | | 5 | Examining features of measuring instruments in science education | | | 6 | Examine examples of inferential statistics in science education | | | 7 | Testing the differences between means in science education studies | | | 8 | Midterm exam+Introduction to SPSS | | | 9 | Introduction to SPSS | | | 10 | Analyzing the data which is obtained from in science education works in SPSS | | | 11 | Analyzing the data which is obtained from in science education works in SPSS | | | 12 | Analyzing the data which is obtained from in science education works in SPSS | | | 13 | Analyzing the data which is obtained from in science education works in SPSS | | | 14 | Analyzing the data which is obtained from in science education works in SPSS | | | 15 |
Analyzing the data which is obtained from in science education works in SPSS | | | 16 | | | |
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Recommended or Required Reading |
1] Özdamar K. (1999) Paket Programlar ile İstatistiksel Veri Analizi, Kaan Kitabevi, 535 sayfa
[2] Büyüköztürk Ş., Bökeoğlu Çokluk Ö., Köklü N. (2000) Sosyal bilimler için istatistik, 263 sayfa
[3] Büyüköztürk Ş. (2008) Sosyal Bilimler için Veri Analizi El Kitabı İstatistik, Araştırma Deseni SPSS Uygulamaları ve Yorum, pegem yayıncılık, 216 sayfa
[4] Özdamar K. (2003) SPSS ile Biyoistatistik, Kaan Kitabevi, 506 sayfa
[5] Tavşancıl E. (2006) Tutumların Ölçülmesi ve SPSS ile veri analizi, Nobel yayın, 224 sayfa |
Planned Learning Activities and Teaching Methods |
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Assessment Methods and Criteria | |
SUM | 0 | |
SUM | 0 | Yarıyıl (Yıl) İçi Etkinlikleri | 40 | Yarıyıl (Yıl) Sonu Etkinlikleri | 60 | SUM | 100 |
| Language of Instruction | Turkish | Work Placement(s) | None |
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Workload Calculation |
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Midterm Examination | 1 | 1 | 1 |
Final Examination | 1 | 2 | 2 |
Quiz | 5 | 1 | 5 |
Attending Lectures | 15 | 3 | 45 |
Individual Study for Homework Problems | 15 | 4 | 60 |
Individual Study for Mid term Examination | 1 | 5 | 5 |
Individual Study for Final Examination | 1 | 5 | 5 |
Reading | 15 | 3 | 45 |
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Contribution of Learning Outcomes to Programme Outcomes |
LO1 | 5 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 2 | 3 | 3 | 3 | 4 | 3 | 3 | | 3 | 3 | 4 | 3 | 4 | 2 | 4 | 4 | | | LO2 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 2 | 3 | 3 | 3 | 4 | 3 | 3 | | 3 | 3 | 3 | 4 | 4 | 2 | 3 | 4 | | | LO3 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 2 | 3 | 3 | 3 | 3 | 3 | 3 | | 3 | 3 | 3 | 4 | 3 | 2 | 3 | 3 | | | LO4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 2 | 3 | 3 | 3 | 3 | 3 | 3 | | 3 | 3 | 3 | 3 | 3 | 2 | 3 | 4 | | | LO5 | | | | | | | | | | | | | | | | | | | | | | | | | | |
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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Ordu University Rectorate Building ,Cumhuriyet Campus , Center / ORDU / TURKEY • Tel: +90 452 226 52 00
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