Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SOCIAL SCIENCES / YTÖ 516 - TURKISH TEACHING FOR FOREIGNERS (MASTER DEGREE)

Code: YTÖ 516 Course Title: BASIC STATISTICAL TECHNIQUES Theoretical+Practice: 3+0 ECTS: 6
Year/Semester of Study 1 / Spring Semester
Level of Course 2nd Cycle Degree Programme
Type of Course Optional
Department TURKISH TEACHING FOR FOREIGNERS (MASTER DEGREE)
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer MURAT ŞENGÜL (muratsengul@nevsehir.edu.tr)
Name of Lecturer(s) MURAT ŞENGÜL,
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
This class reliability, validity, ethics, preparation and management of the research questions, the planning of interviews and case studies aiming to be made the subject of learning and application.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 A survey, using the scientific method to be able to organize. PO-1 Improve and deepen their knowledge in the same or different field based on the graduate level qualifications in their field of study.
PO-3 Make an efficient use of the resources in a relevant field of study based on their graduate level of qualifications.
PO-4 Use the relevant research methods and techniques and have both theoretical and practical knowledge in their field of study.
Examination
Presentation
LO-2 A study to examine the report to criticize. PO-8 Develop new approaches in order to solve unpredictable problems encountered in their field of study.
PO-14 Collect data related with their field of study, review and put them in practice, checking them in the process of announcing the results and taking into consideration the scientific, cultural, artistic, social and ethical values.
PO-16 Grasp the knowledge related to their field of study and make it public in line with the norms
Examination
Presentation
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Hypothesis testing, correlation techniques, comparing the scores of independent samples (t-test, ANOVA), comparing the scores of samples (t-test, ANOVA), for mixed measures ANOVA, regression analysis, analysis of covariance, chi-square test, SPSS applications
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Introduction to the course Lecture Method
2 Concepts of research Lecture Method
3 Qualitative and quantitative research Lecture Method
4 Hypothesis testing, correlation techniques Lecture Method
5 Comparison of mean scores in unrelated samples (t-test, ANOVA) Lecture Method
6 Comparison of mean scores in unrelated samples (t-test, ANOVA) Lecture Method
7 Comparison of mean scores in related samples (t-test, ANOVA) Lecture Method
8 mid-term exam
9 ANOVA for mixed measurements Lecture Method
10 ANOVA for mixed measurements Lecture Method
11 Multiple regression analysis, covariance analysis Lecture Method
12 chi-square test Lecture Method
13 SPSS applications Lecture Method
14 SPSS applications Lecture Method
15 SPSS applications and general evaluation Lecture Method
16 final exam
Recommend Course Book / Supplementary Book/Reading
Required Course instruments and materials

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 1 1 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 1 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 2 14 28
       b) Search in internet/Library 2 14 28
       c) Performance Project 10 1 10
       d) Prepare a workshop/Presentation/Report 15 1 15
       e) Term paper/Project 10 1 10
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 20 1 20
mid-term exam 3 1 3
Own study for final exam 20 1 20
final exam 4 1 4
0
0
Total work load; 180