BBY724 - RESEARCH METHODS and PUBLICATION ETHICS
Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
---|---|---|---|---|---|---|
RESEARCH METHODS and PUBLICATION ETHICS | BBY724 | 2nd Semester | 3 | 0 | 3 | 10 |
Prequisites | - | |||||
Course language | Turkish | |||||
Course type | Must | |||||
Mode of Delivery | Face-to-Face | |||||
Learning and teaching strategies | Lecture | |||||
Instructor (s) | Faculty of Department | |||||
Course objective | The aim of this course is to give all the necessary information related to the research design process. | |||||
Learning outcomes |
| |||||
Course Content | - Scientific research process (problem identification, conceptualization, operationalization, data collection, data analysis, interpretation, report writing) - Major Research methods (experimental methods, descriptive methods, et al.) - quantitative data analysis and interpretation by means of a statistical package (SPSS). - Publication ethics - Data collection, evaluation, report writing techniques. | |||||
References | Babbie, E. (2007). The Basics of Social Research, (11th ed.). Belmont, CA: Wadsworth, (ISBN 978-0-495-09325-1). Balcı, A. (2005). Sosyal Bilimlerde Araştırma: Yöntem, Teknik ve İlkeler. 5. bs. Pegem A Yayınları. Karasar, N. (1995). Bilimsel Araştırma Yöntemi: Kavramlar, İlkeler, Teknikler (7. bs.). Ankara: 3A Araştırma Eğitim, Danışmanlık Ltd. Şti. Neuman, W.L. (2008). Toplumsal Araştırma Yöntemleri: Nitel ve Nicel Yaklaşımlar (2. cilt). (2. bs.) (Sedef Özge, Çev.). İstanbul: Yayınodası, (ISBN 978994171076). |
Course outline weekly
Weeks | Topics |
---|---|
Week 1 | Introduction, Science and Research, Research Components |
Week 2 | Research Questions: Problem Identification, Hypothesis; Causality, Validity and Reliability |
Week 3 | Conceptualization, Operationalization and Measurement |
Week 4 | Survey research |
Week 5 | Reference Techniques, Abstract and summary writing, Plagiarism |
Week 6 | Logic of sampling |
Week 7 | Experimental research |
Week 8 | Midterm |
Week 9 | Data analysis: Descriptive statistics, Hypothesis testing, Parametric and Nonparametric significance tests (correlation, t-test, chi-square test, Mann-Whitney, Kolmogorov-Smirnoff, Kruskal-Wallis test) |
Week 10 | Analysis of Variance (ANOVA), Analysis of covariance (ANCOVA), Factorial ANOVA, Multiple Analysis of Variance (MANOVA) |
Week 11 | Regression Analysis: Linear Regression, Logistic Regression |
Week 12 | Factor Analysis, Reliability Analysis, Discriminant Analysis |
Week 13 | Publication ethics, plagiarism and different samples |
Week 14 | Research article review |
Week 15 | Final Project presentations-Review |
Week 16 | Final exam |
Assesment methods
Course activities | Number | Percentage |
---|---|---|
Attendance | 0 | 0 |
Laboratory | 0 | 0 |
Application | 0 | 0 |
Field activities | 0 | 0 |
Specific practical training | 0 | 0 |
Assignments | 3 | 10 |
Presentation | 0 | 0 |
Project | 2 | 40 |
Seminar | 0 | 0 |
Midterms | 0 | 0 |
Final exam | 1 | 50 |
Total | 100 | |
Percentage of semester activities contributing grade succes | 1 | 50 |
Percentage of final exam contributing grade succes | 1 | 50 |
Total | 100 |
WORKLOAD AND ECTS CALCULATION
Activities | Number | Duration (hour) | Total Work Load |
---|---|---|---|
Course Duration (x14) | 16 | 3 | 48 |
Laboratory | 6 | 3 | 18 |
Application | 10 | 4 | 40 |
Specific practical training | 0 | 0 | 0 |
Field activities | 3 | 10 | 30 |
Study Hours Out of Class (Preliminary work, reinforcement, ect) | 15 | 3 | 45 |
Presentation / Seminar Preparation | 1 | 4 | 4 |
Project | 2 | 30 | 60 |
Homework assignment | 3 | 10 | 30 |
Midterms (Study duration) | 0 | 0 | 0 |
Final Exam (Study duration) | 1 | 25 | 25 |
Total Workload | 57 | 92 | 300 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
D.9. Key Learning Outcomes | Contrubition level* | ||||
---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |
1. Graduates are capable of executing advanced-level research and producing original ideas. | X | ||||
2. Graduates have advanced level knowledge on making connections between information management and other disciplines, as well as discovering new research areas. | X | ||||
3. Graduates are able to employ a systematic approach to new developments within the field and have ability to conduct a high level of scientific research. | X | ||||
4. Graduates have the ability to develop innovative scientific methods or practices within the field of information management or apply the current practices in different fields. | X | ||||
5. Graduates have the ability to design and conduct research. | X | ||||
6. Graduates have the ability to develop theories and methods by using higher order thinking skills such as problem solving, decision making, critical and creative thinking. | X | ||||
7. Graduates have the ability to defend effectively their original ideas and opinions against national and international authorities. | X | ||||
8. Graduates have the ability to support the process of transformation to the information society by disseminating, defending and using technological, social and cultural developments in the context of academic and professional studies. | |||||
9. Graduates have the ability to create solutions to scientific, social and ethical issues regarding the field of information management. | X |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest