|
|||||
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 |