|
|||||
Year/Semester of Study | 1 / Spring Semester | ||||
Level of Course | 2nd Cycle Degree Programme | ||||
Type of Course | Compulsory | ||||
Department | KAMU POLİTİKASI VE İŞLETMECİLİĞİ (YL) (TEZSİZ) | ||||
Pre-requisities and Co-requisites | None | ||||
Mode of Delivery | Face to Face | ||||
Teaching Period | 14 Weeks | ||||
Name of Lecturer | KORHAN KARACAOĞLU (kkaracaoglu@nevsehir.edu.tr) | ||||
Name of Lecturer(s) | |||||
Language of Instruction | Turkish | ||||
Work Placement(s) | None | ||||
Objectives of the Course | |||||
Learning quantitative research techniques. Using statistical package program to analyze data and reporting the results. Students conduct survey research to learn research analysis techniques. Introducing the necessary tools to implement statistical methods and develop further the understanding of assumptions and limitations. |
Learning Outcomes | PO | MME | |
The students who succeeded in this course: | |||
LO-1 | Acknowledge the place and the importance of quantitative methods in the field of social sciences. |
PO-2 Learns research methods in social sciences and gain application skills, PO-4 Gains the ability to use SPSS program to perform basic analysis PO-9 Have the consciousness of lifelong learning. |
Laboratory Exam Presentation Term Paper |
LO-2 | Using statistical package program to learn data analysis. |
PO-2 Learns research methods in social sciences and gain application skills, PO-4 Gains the ability to use SPSS program to perform basic analysis PO-5 Gain the ability of scientific research on its own, PO-6 Gains the ability to follow national and international political developments, |
Laboratory Exam Presentation Term Paper |
LO-3 | Learn to conduct statistical methods and to comment solutions. |
PO-2 Learns research methods in social sciences and gain application skills, PO-4 Gains the ability to use SPSS program to perform basic analysis PO-5 Gain the ability of scientific research on its own, PO-9 Have the consciousness of lifelong learning. |
Laboratory Exam Presentation Performance Project Practice Exam |
PO: Programme Outcomes MME:Method of measurement & Evaluation |
Course Contents | ||
Quantitative research techniques. Definition and kinds of variables, scaling of variables and determination of scales. Collecting the data methods. Questionnaire survey method. Sampling. Introducing the statistical package program. Data entry, data definition. Graph and table introducing. Confidence intervals. Hypothesis tests. Correlation coefficient. Chi-square analysis. ANOVA. | ||
Weekly Course Content | ||
Week | Subject | Learning Activities and Teaching Methods |
1 | Learning quantitative methods | Representing subjects. Question and answer. Solving problems technique. |
2 | Definition and kinds of variables, scaling of variables and determination of scales. | Representing subjects. Question and answer. Solving problems technique. |
3 | Data collection methods. Questionnaire survey method. | Representing subjects. Question and answer. Solving problems technique. Computer application. |
4 | Introducing the statistical package program. Data entry, data definition. | Representing subjects. Question and answer. Solving problems technique. Computer application. |
5 | Presentation of plots and table | Representing subjects. Question and answer. Solving problems technique. Computer application. |
6 | Confidence intervals | Representing subjects. Question and answer. Solving problems technique. Computer application. |
7 | Hypothesis tests | Representing subjects. Question and answer. Solving problems technique. Computer application. |
8 | mid-term exam | |
9 | Chi-square analysis. | Representing subjects. Question and answer. Solving problems technique. Computer application. |
10 | Nonparametric tests | Representing subjects. Question and answer. Solving problems technique. Computer application. |
11 | t test | Representing subjects. Question and answer. Solving problems technique. Computer application. |
12 | ANOVA | Representing subjects. Question and answer. Solving problems technique. Computer application. |
13 | ANOVA | Representing subjects. Question and answer. Solving problems technique. Computer application. |
14 | Correlation coefficients. | Representing subjects. Question and answer. Solving problems technique. Computer application. |
15 | Course repetiton | Representing subjects. Question and answer. Solving problems technique. Computer application. |
16 | final exam | |
Recommend Course Book / Supplementary Book/Reading | ||
1 | Paket Programlar ile İstatistiksek Veri Analizi-I” Prof. Dr. Kazım ÖZDAMAR | |
2 | “Bilimsel Araştırma Süreci ve SPSS İle Veri Analizi” A., URAL, İ., KILIÇ | |
Required Course instruments and materials | ||
Textbook, Blackboard, computer and software |
Assessment Methods | |||
Type of Assessment | Week | Hours | Weight(%) |
mid-term exam | 1 | 3 | 40 |
Other assessment methods | |||
1.Oral Examination | |||
2.Quiz | |||
3.Laboratory exam | |||
4.Presentation | |||
5.Report | |||
6.Workshop | |||
7.Performance Project | |||
8.Term Paper | |||
9.Project | |||
final exam | 1 | 3 | 60 |
Student Work Load | |||
Type of Work | Weekly Hours | Number of Weeks | Work Load |
Weekly Course Hours (Theoretical+Practice) | 3 | 14 | 42 |
Outside Class | |||
a) Reading | 4 | 10 | 40 |
b) Search in internet/Library | 3 | 7 | 21 |
c) Performance Project | 3 | 4 | 12 |
d) Prepare a workshop/Presentation/Report | 5 | 2 | 10 |
e) Term paper/Project | 0 | ||
Oral Examination | 0 | ||
Quiz | 0 | ||
Laboratory exam | 4 | 2 | 8 |
Own study for mid-term exam | 5 | 4 | 20 |
mid-term exam | 3 | 1 | 3 |
Own study for final exam | 7 | 3 | 21 |
final exam | 3 | 1 | 3 |
0 | |||
0 | |||
Total work load; | 180 |