PGÖ704 Applied Educational Statistics I

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

Information

Code PGÖ704
Name Applied Educational Statistics I
Term 2024-2025 Academic Year
Term Fall and Spring
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
Course Instructor Prof. Dr. AHMET DOĞANAY (A Group) (Ins. in Charge)
(B Group) ()


Course Goal / Objective

The course aims to improve statistical literacy and provide the students who will use statistics in their research with the ability to interpret statistical data in their research

Course Content

The course contains basic concepts of statistics applied to education and application of parametric and nonparametric techniques which are used in social sciences. These techniques are taught by using SPSS statistical program.

Course Precondition

None

Resources

Williams, F. (1992). Reasoning with statistics: How to read quantitative research. Fort Worth Philadelphia: Harcaurt Brace Javanovich College Publishers Büyüköztürk, Ş. (2017). Sosyal Bilimler için Veri Analizi El Kitabı. Ankara: Pegem Akademi

Notes

Büyüköztürk, Ş., Kılıç-Çakmak, E., Akgün, Ö., Karadeniz, Ş., & Demirel, F. (2008). Bilimsel araştırma yöntemleri. Ankara: Pegem Akademi


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains the basic concepts related to educational statistics.
LO02 Comprehends the place and importance of statistics in the research process.
LO03 Explains the difference between qualitative and quantitative research.
LO04 Recognizes the fundamental statistical techniques used in educational studies.
LO05 Determines the suitable statistical techniques for the research problems.
LO06 Computerizes the data.
LO07 Makes intended statistical analysis from the processed data.
LO08 Presents the statistical analysis results with graphs or tables in line with research objectives.
LO09 Makes commenst on the statistical analysis results.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal On the basis of the BA degree qualifications improves his/her knowledge in thecurriculum and instruction field at the level of expertise. 2
PLO02 Bilgi - Kuramsal, Olgusal Understands the multi-dimensional causes of a problem and evaluates the problem as a whole 2
PLO03 Bilgi - Kuramsal, Olgusal Analyzes a scientific article in the field of curriculum and instruction 5
PLO04 Beceriler - Bilişsel, Uygulamalı Uses the theoretical and practical knowledge s/he gained at the level of expertise in the field of curriculum and instruction 5
PLO05 Beceriler - Bilişsel, Uygulamalı Uses and develops individual assessment techniques for examining curriculum and instruction 4
PLO06 Beceriler - Bilişsel, Uygulamalı Solves a problem in the context of curriculum and instruction in a scientific perspective.
PLO07 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Guides the graduates of the field of curriculum and instruction within the framework of the knowledge and experiences that specialized training provides.
PLO08 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Gains knowledge and experience about the applications which can make the field of expertise functional in educational field. 4
PLO09 Yetkinlikler - Öğrenme Yetkinliği Integrates the theoretical knowledge within the scope of the field of curriculum and instruction with the field of application. 5
PLO10 Yetkinlikler - Öğrenme Yetkinliği Takes responsibility for solving the problems at the local and national level during the curriculum and instruction-oriented applications.
PLO11 Yetkinlikler - İletişim ve Sosyal Yetkinlik Communicates effectively and properly with students, teachers, school administrators, and members of families and working group.
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Has a good command of foreign language to be able to follow the foreign resources related to the field. 2
PLO13 Yetkinlikler - İletişim ve Sosyal Yetkinlik Informs his/her colleagues about the processes regarding the field of expertise and conclusions reached. 3
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses the different statistical techniques and information and communication technologies that s/he needs in the field of expertise. 5
PLO15 Yetkinlikler - İletişim ve Sosyal Yetkinlik Provides the support of the institution employees to make the applications concerning educational sciences successful.
PLO16 Yetkinlikler - Alana Özgü Yetkinlik Identifies the sources of the problems in the field of educational sciences and contributes to the solution of these problems. 3
PLO17 Yetkinlikler - Alana Özgü Yetkinlik Provides the cooperation of all partners in educational environment stating the necessity of the field of expertise.
PLO18 Yetkinlikler - Alana Özgü Yetkinlik Assesses the necessities which reveal through the applications related to the field of expertise in a critical way. 3
PLO19 Yetkinlikler - Alana Özgü Yetkinlik Develops internalized knowledge in the field of expertise and the related disciplines at the level of expertise. 3
PLO20 Yetkinlikler - Alana Özgü Yetkinlik Makes prediction about the partner behaviors through the applications concerning the field of expertise.


Week Plan

Week Topic Preparation Methods
1 Introduction and Presentation of the lesson Analyzing different samples by examining related sources Öğretim Yöntemleri:
Anlatım, Tartışma
2 Basic Concepts Place of statistics in the research process Variable, measurement, scale, data and statistical concepts Analyzing different samples by examining related sources Öğretim Yöntemleri:
Anlatım, Tartışma
3 Introduction to SPSS Creation of data file in SPSS Analyzing different samples by examining related sources Öğretim Yöntemleri:
Anlatım, Tartışma, Alıştırma ve Uygulama
4 Descriptive statistics Frequency distribution Calculation and presentation of frequency distribution in table Calculation of the frequency distribution with graph "Analyzing different samples by examining related sources Homework 1" Öğretim Yöntemleri:
Anlatım, Tartışma, Alıştırma ve Uygulama
5 Measures of central tendency and variability Measures of central tendency Mean Median Mode Variability measures Analyzing different samples by examining related sources Homework 2 Öğretim Yöntemleri:
Anlatım, Tartışma, Alıştırma ve Uygulama
6 Inferential statistics Universe estimation of the value Normal distribution curve Hypothesis testing Submission of homework Analyzing different samples by examining related sources Öğretim Yöntemleri:
Anlatım, Tartışma, Alıştırma ve Uygulama
7 Analysis of the differences T Test Independent Samples T Test Analyzing different samples by examining related sources Homework 3 Öğretim Yöntemleri:
Anlatım, Tartışma
8 Midterm exam and submission of homework Preparation for the exam Ölçme Yöntemleri:
Yazılı Sınav, Ödev
9 Paired Samples T Test Analyzing different samples by examining related sources Homework 4 Öğretim Yöntemleri:
Anlatım, Tartışma, Alıştırma ve Uygulama
10 Analysis of Variance One Way Anova Submission of homework Analyzing different samples by examining related sources Homework 5 Öğretim Yöntemleri:
Anlatım, Tartışma, Alıştırma ve Uygulama
11 Analysis of variance for repeated measures submission of homework Analyzing different samples by examining related sources Homework 6 Öğretim Yöntemleri:
Anlatım, Tartışma, Alıştırma ve Uygulama
12 Analysis of covariance Analyzing different samples by examining related sources Homework 7 Öğretim Yöntemleri:
Anlatım, Tartışma, Alıştırma ve Uygulama
13 Analysis of covariance and submission of homework Analyzing different samples by examining related sources Öğretim Yöntemleri:
Anlatım, Tartışma, Alıştırma ve Uygulama
14 Chi-Square and submission of homework Analyzing different samples by examining related sources Homework 8 Öğretim Yöntemleri:
Anlatım, Tartışma, Alıştırma ve Uygulama
15 Analysis of relationships and submission of homework Analyzing different samples by examining related sources Homework 9 Öğretim Yöntemleri:
Anlatım, Tartışma, Alıştırma ve Uygulama
16 Submission of homework Revision homeworks Ölçme Yöntemleri:
Ödev, Yazılı Sınav
17 Final exam Preparation for the final exam Ölçme Yöntemleri:
Yazılı Sınav


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 9 1 9
Mid-term Exams (Written, Oral, etc.) 1 10 10
Final Exam 1 30 30
Total Workload (Hour) 161
Total Workload / 25 (h) 6,44
ECTS 6 ECTS

Update Time: 09.05.2024 07:31