Information
Code | PDR704 |
Name | Educational Statistics with Application of SPSS |
Term | 2023-2024 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 |