Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SOCIAL SCIENCES / KPİTZ504 - KAMU POLİTİKASI VE İŞLETMECİLİĞİ (YL) (TEZSİZ)

Code: KPİTZ504 Course Title: QUANTITATIVE RESEARCH METHODS Theoretical+Practice: 3+0 ECTS: 6
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