Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SOCIAL SCIENCES / MYL 514 - MUSIC EDUCATION (MASTER)

Code: MYL 514 Course Title: STATISTICS II 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 MUSIC EDUCATION (MASTER)
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer ÖZLEM KILINÇER (ozlem.kilincer@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
This course introduces advanced statistical techniques used in social sciences and educational sciences in particular, and gives the ability to make applications and interpret data on data.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Knows advanced statistical techniques required for educational research PO-2 Defining the problems of the field and doing researches with an appropriate method and technique and offering solutions.
PO-7 Having critical thinking in Music Education, being able to assess notifications, essays and thesis on the field; and being able to write about music with this approach.
PO-11 Conducting a Seminar study on a subject determined with his/her counselor for improving the skills of researching, reporting and presenting
PO-12 Conducting a comprehensive research on a subject which is accepted to be relating to Music Education by Executive Boards using a scientific method, reporting its results and defending them in front of a jury successfully.
Presentation
Practice Exam
LO-2 Knows the measurement model and the structural model PO-2 Defining the problems of the field and doing researches with an appropriate method and technique and offering solutions.
PO-7 Having critical thinking in Music Education, being able to assess notifications, essays and thesis on the field; and being able to write about music with this approach.
PO-12 Conducting a comprehensive research on a subject which is accepted to be relating to Music Education by Executive Boards using a scientific method, reporting its results and defending them in front of a jury successfully.
Presentation
Practice Exam
LO-3 Applies confirmatory factor analysis PO-2 Defining the problems of the field and doing researches with an appropriate method and technique and offering solutions.
PO-7 Having critical thinking in Music Education, being able to assess notifications, essays and thesis on the field; and being able to write about music with this approach.
PO-11 Conducting a Seminar study on a subject determined with his/her counselor for improving the skills of researching, reporting and presenting
Presentation
Practice Exam
LO-4 Performs path analysis with latent variables PO-2 Defining the problems of the field and doing researches with an appropriate method and technique and offering solutions.
PO-7 Having critical thinking in Music Education, being able to assess notifications, essays and thesis on the field; and being able to write about music with this approach.
PO-11 Conducting a Seminar study on a subject determined with his/her counselor for improving the skills of researching, reporting and presenting
Presentation
Practice Exam
LO-5 Performs path analysis with observed variables PO-2 Defining the problems of the field and doing researches with an appropriate method and technique and offering solutions.
PO-7 Having critical thinking in Music Education, being able to assess notifications, essays and thesis on the field; and being able to write about music with this approach.
PO-11 Conducting a Seminar study on a subject determined with his/her counselor for improving the skills of researching, reporting and presenting
Presentation
Practice Exam
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Basic concepts in structural equation modeling. Observed variable and latent variable. Figures and symbols used in structural equation modeling. Introduction of AMOS, LISREL and EQS programs. Measurement model and structural model. Evaluation of model fit and goodness of fit indices. Evaluation of modification indices. First level confirmatory factor analysis. Second level confirmatory factor analysis. Path analysis with latent variables. Path analysis with observed variables. Hybrid pathway analysis.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 1 Basic concepts in structural equation modeling. Lecture Method, Problem Solving Method, Question and Answer
2 Observed variable and latent variable. Lecture Method, Problem Solving Method, Question and Answer
3 Figures and symbols used in structural equation modeling. Lecture Method, Problem Solving Method, Question and Answer
4 Introduction of AMOS, LISREL and EQS programs. Lecture Method, Problem Solving Method, Question and Answer
5 Measurement model and structural model. Lecture Method, Problem Solving Method, Question and Answer
6 Evaluation of model fit and goodness of fit indices Lecture Method, Problem Solving Method, Question and Answer
7 Evaluation of modification indices. Lecture Method, Problem Solving Method, Question and Answer
8 mid-term exam
9 First level confirmatory factor analysis. Lecture Method, Problem Solving Method, Question and Answer
10 First level confirmatory factor analysis. Lecture Method, Problem Solving Method, Question and Answer
11 Second level confirmatory factor analysis. Lecture Method, Problem Solving Method, Question and Answer
12 Second level confirmatory factor analysis. Lecture Method, Problem Solving Method, Question and Answer
13 Path analysis with latent variables. Lecture Method, Problem Solving Method, Question and Answer
14 Path analysis with observed variables. Lecture Method, Problem Solving Method, Question and Answer
15 Hybrid pathway analysis. Lecture Method, Problem Solving Method, Question and Answer
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Meydan, H.C. ve Şeşen, H. (2011). Yapısal eşitlik modellemesi AMOS uygulamaları. Ankara: Detay Yayıncılık.
2 Cohen, B. H. & Lea, R. B. (2003). Essentials of statistics for the social and behavioral sciences. New York: John Wiley & Sons
3 Byrne, B.M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2nd ed.). New York: Rutledge, Taylor & Francis Group.
Required Course instruments and materials
book, computer

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 2 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 14 2 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 5 4 20
       b) Search in internet/Library 5 4 20
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 5 5 25
       e) Term paper/Project 6 5 30
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 4 5 20
mid-term exam 1 1 1
Own study for final exam 4 4 16
final exam 1 1 1
0
0
Total work load; 175