To prepare a questionnaire in accordance with the purpose of the research, to create a database in Excel and SPSS, to analyze with statistical techniques, to interpret and report the results of the analysis.
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Contribution of the Course to Professional Development
While applying scientific research method steps, students are expected to define the problem, develop hypotheses, collect data, analyze the data, test the hypotheses and report the results. This course supports students to be able to conduct quantitative studies as independent researchers. Within the scope of this course, students; will be able to design surveys, collect data, transfer data to statistics program and perform appropriate analyzes to test hypotheses.
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Learning Outcomes:
1
The student can design a questionnaire in accordance with the purpose of the study.;
2
The student can collect data with online tools.;
3
The student can edit the research data in Excel.;
4
The student can define the data in SPSS.;
5
The student can perform descriptive analysis.;
6
The student can perform some parametric analysis.;
7
The student can perform some none-parametric analysis.;
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Course Content:
Week
Theoretical
Practical
1
Basic concepts of measurement and evaluation
2
Questionnaire, scale and inventory concepts, demographic and diagnostic information form development
3
Online data collection tools
4
Online data collection tools
5
Organizing data in Excel
6
Organizing data in SPSS
7
Organizing data in SPSS
8
Midterm Exam 1
9
Descriptive analysis, analysis of multiple answer questions, assumptions of parametric analysis techniques
10
t test, analysis of variance, correlation analysis
11
Mann-Whitney U test, Wilcoxon signed-row test, Kruskal Wallis H test, Chi-square analysis
12
Mann-Whitney U test, Wilcoxon signed-row test, Kruskal Wallis H test, Chi-square analysis
13
APA format table creation and reporting
14
Final exam
23
Textbooks, References and/or Other Materials:
Büyüköztürk, Ş. (2010). Sosyal bilimler için veri analizi el Ankara: Pegem Akademi. Can, A. (2016). SPSS ile bilimsel araştırma sürecinde nicel veri analizi. Ankara: Pegem Akademi.
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Assesment
TERM LEARNING ACTIVITIES
NUMBER
PERCENT
Midterm Exam
1
30
Quiz
0
0
Homeworks, Performances
1
30
Final Exam
1
40
Total
3
100
Contribution of Term (Year) Learning Activities to Success Grade
60
Contribution of Final Exam to Success Grade
40
Total
100
Measurement and Evaluation Techniques Used in the Course
Open-ended exam, homework, multiple choice test
Information
-
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ECTS / WORK LOAD TABLE
Activites
NUMBER
TIME [Hour]
Total WorkLoad [Hour]
Theoretical
14
2
28
Practicals/Labs
0
0
0
Self Study and Preparation
11
2
22
Homeworks, Performances
1
10
10
Projects
0
0
0
Field Studies
0
0
0
Midtermexams
1
12
12
Others
0
0
0
Final Exams
1
18
18
Total WorkLoad
90
Total workload/ 30 hr
3
ECTS Credit of the Course
3
26
CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
