PDR704 Educational Statistics with Application of SPSS

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code PDR704
Name Educational Statistics with Application of SPSS
Term 2024-2025 Academic Year
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. FULYA CENKSEVEN ÖNDER


Course Goal / Objective

The aim of this course is to provide the students with the ability to determine the multivariate statistical technique suitable for the problems and prepare the data for multivariate statistical analysis, insert the data to the database in a suitable way, analyze the multivariate statistical techniques by SPSS, tabulate the findings of the analysis in a suitable way and interpret the findings.

Course Content

This course covers assumptions of multivariate statistical techniques, multivariate ANOVA (MANOVA), simple and multiple linear regression, logistic regression, two-way ANOVA for mixed measures, non-parametric techniques, factor analysis.

Course Precondition

None.

Resources

Büyüköztürk, Ş. (2002). Sosyal Bilimler İçin Veri Analiz Elkitabı, (1. Baskı), Ankara: Pegem A Yayıncılık.

Notes

Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2007). Using multivariate statistics (Vol. 5, pp. 481-498). Boston, MA: Pearson. Tabachnick, B. G., & Fidell, L. S. (2007). Experimental designs using ANOVA (Vol. 724). Belmont, CA: Thomson/Brooks/Cole.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learns to prepare the data for multivariate statistical analysis
LO02 Understands the assumptions of multivariate statistical techniques
LO03 Determines the statistical technique suitable for the research questions.
LO04 Analyzes the multivariate statistical techniques by SPSS
LO05 Tabulates and interprets the findings of the analysis in a suitable way


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal On the basis of the Educational Sciences BA degree qualificatons, improves his/her knowledge in the same field at the level of expertise.
PLO02 Bilgi - Kuramsal, Olgusal Understands the multi-dimensional causes of a problem and evaluates the problem as a whole
PLO03 Bilgi - Kuramsal, Olgusal Analyzes a scientific article in the field of educational sciences. 3
PLO04 Bilgi - Kuramsal, Olgusal Uses the theoretical and practical knowledge s/he gained at the level of expertise in the field of educational sciences. 1
PLO05 Bilgi - Kuramsal, Olgusal Uses and develops individual assessment techniques. 2
PLO06 Bilgi - Kuramsal, Olgusal Solves a problem in the context of educational sciences in a scientific perspective.
PLO07 Bilgi - Kuramsal, Olgusal Guides the graduates of the field of educational sciencies within the framework of the knowledge and experiences that specialized training provides.
PLO08 Bilgi - Kuramsal, Olgusal Gains knowledge and experience about the appliations which can make the field of expertise functional in educational field.
PLO09 Beceriler - Bilişsel, Uygulamalı Integrates the theoretical knowledge within the scope of the field of educational sciences with the field of application.
PLO10 Beceriler - Bilişsel, Uygulamalı Takes responsibility for solving the problems at the local and national level during the educational science-oriented applications. 1
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Communicates effectively and properly with students, teachers, school administrators, and members of families and working group. 2
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Has a good command of foreign language to be able to follow the foreign resources related to the field. 1
PLO13 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Informs his/her colleagues about the processes regarding the field of expertise and conclusions reached. 5
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Uses the different statistical techniques and information and communication technologies that s/he needs in the field of expertise.
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Provides the support of the institution employees to make the applications concerning educational sciences successful.
PLO16 Yetkinlikler - Öğrenme Yetkinliği Identifies the sources of the problems in the field of educational sciences and contributes to the solution of these problems.
PLO17 Yetkinlikler - Öğrenme Yetkinliği Provides the cooperation of all partners in educational environment stating the necessity of the field of expertise.
PLO18 Yetkinlikler - Öğrenme Yetkinliği Assesses the necessities which reveal through the applications related to the field of expertise in a critical way.
PLO19 Yetkinlikler - Öğrenme Yetkinliği Develops internalized knowledge in the field of expertise and the related disciplines at the level of expertise.
PLO20 Yetkinlikler - Öğrenme Yetkinliği Makes prediction about the partner behaviors through the applications concerning the field of expertise.


Week Plan

Week Topic Preparation Methods
1 Introduction: Course content, importance, instructional methods, techniques and assessment Review of course content and references Öğretim Yöntemleri:
Anlatım, Tartışma
2 Multivariate ANOVA (MANOVA)-I Scanning the topic to be taught and reading the suggested books and articles Öğretim Yöntemleri:
Anlatım, Tartışma
3 Multivariate ANOVA (MANOVA)-II Scanning the topic to be taught and reading the suggested books and articles Öğretim Yöntemleri:
Anlatım, Tartışma
4 Lineaar regression-I Scanning the topic to be taught and reading the suggested books and articles Öğretim Yöntemleri:
Anlatım, Tartışma
5 Lineaar regression-II Scanning the topic to be taught and reading the suggested books and articles Öğretim Yöntemleri:
Anlatım, Tartışma
6 Lineaar regression-III Scanning the topic to be taught and reading the suggested books and articles Öğretim Yöntemleri:
Anlatım, Tartışma
7 Logistic regression Scanning the topic to be taught and reading the suggested books and articles Öğretim Yöntemleri:
Anlatım, Tartışma
8 Mid-Term Exam preparation for the exam Öğretim Yöntemleri:
Anlatım, Tartışma
9 Two-way ANOVA for mixed measures Scanning the topic to be taught and reading the suggested books and articles Öğretim Yöntemleri:
Anlatım, Tartışma
10 Factor analysis-I Scanning the topic to be taught and reading the suggested books and articles Öğretim Yöntemleri:
Anlatım, Tartışma
11 Factor analysis-II Scanning the topic to be taught and reading the suggested books and articles Öğretim Yöntemleri:
Anlatım, Tartışma, Gösterip Yaptırma
12 Factor analysis-III Scanning the topic to be taught and reading the suggested books and articles Öğretim Yöntemleri:
Anlatım, Tartışma, Gösterip Yaptırma
13 Non-parametric analysis-I Scanning the topic to be taught and reading the suggested books and articles Öğretim Yöntemleri:
Anlatım, Tartışma
14 Non-parametric analysis-II Scanning the topic to be taught and reading the suggested books and articles Öğretim Yöntemleri:
Anlatım, Tartışma
15 Overall evaluation of course Scanning all topics covered over the term Öğretim Yöntemleri:
Anlatım, Tartışma
16 Term Exams preparation for the exam Ölçme Yöntemleri:
Yazılı Sınav, Ödev
17 Term Exams preparation for the exam Ölçme Yöntemleri:
Yazılı Sınav, Ödev


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 13.05.2024 12:16