SÖ1749 Basic Statistics Techniques in Education and Practice

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

Information

Code SÖ1749
Name Basic Statistics Techniques in Education and Practice
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 Prof. Dr. AYTEN İFLAZOĞLU SABAN
Course Instructor Prof. Dr. AYTEN İFLAZOĞLU SABAN (A Group) (Ins. in Charge)


Course Goal / Objective

The main purpose of this course is to provide students’ meaningful learning related to data entry process on SPSS software, creation of a dataset file, and implementation process of basic parametric and non-parametric analysis on SPSS software.

Course Content

The course includes basic parametric and non-parametric statistical tests implemented in educational researches such as (descriptive statistics, percent and cross tables, t-test, variance analyze, covariance analyze, correlation analyze, Chi-Squire, Mann Whitney U, Kruskal Vallis H ve Wilcoxon tests)

Course Precondition

No precondition.

Resources

Şener Büyüköztürk, Sosyal Bilimler İçin Veri Analizi El Kitabı. PegemA Yayıncılık Vasfi Nadir Tekin, SPSS Uygulamalı İstatistik Teknikleri. Seçkin Yayıncılık

Notes

SSCI ve ESCI dergilerde yayımlanan ilgili makaleler.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Students learn aim and basic specifications of SPSS software.
LO02 Students can create a dataset on SPSS software.
LO03 Students can determine the fit analysis techniques based on the research problem.
LO04 Students can implement the steps of descriptive and cross-table analysis.
LO05 Students can test the assumptions of the analysis.
LO06 Students can implement the steps of fit analysis techniques.
LO07 Students can create and arrange a report file according to the results of the analysis.
LO08 Students can create comments of the results of the statistical analysis.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Uses elementary scientific research and analysis methods suitable for the area of expertise. 5
PLO02 Bilgi - Kuramsal, Olgusal Discusses primary school first and fourth grade programs and the elementary principles on which they are based.
PLO03 Bilgi - Kuramsal, Olgusal Discusses the development and learning theories within the scope of primary school first and fourth grade.
PLO04 Bilgi - Kuramsal, Olgusal Explains the basis of instructional strategies, methods and techniques.
PLO05 Bilgi - Kuramsal, Olgusal Explains the interaction among the disciplines related to the field.
PLO06 Bilgi - Kuramsal, Olgusal Describes the teaching principles of the subject areas (Social Studies, Turkish, Science, Mathematics, etc.) of primary education at the 1st - 4th grades at a professional level.
PLO07 Bilgi - Kuramsal, Olgusal Utilizes the combined information about class teaching and different areas. 5
PLO08 Bilgi - Kuramsal, Olgusal Evaluates the theoretical and applied information (article, thesis, etc.) in the field with a critical eye. 5
PLO09 Bilgi - Kuramsal, Olgusal Has a critical approach to the national and internatinal applications concerning the primary education.
PLO10 Bilgi - Kuramsal, Olgusal Plans and executes a scientific research. 5
PLO11 Bilgi - Kuramsal, Olgusal Uses, develops and deepens teaching strategies, methods and techniques with an interdisciplinary understanding.
PLO12 Bilgi - Kuramsal, Olgusal Will be willing to independently carry out work that requires expertise in the field. 2
PLO13 Bilgi - Kuramsal, Olgusal Has the quality of leadership in situations related to problem solving in their field or organises teamwork.
PLO14 Beceriler - Bilişsel, Uygulamalı Questions the scientific and social issues in a critical way, and welcomes new perspectives.
PLO15 Beceriler - Bilişsel, Uygulamalı Conducts the studies in the field within the framework of lifelong learning.
PLO16 Beceriler - Bilişsel, Uygulamalı Follows social and technological developments.
PLO17 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Conducts a scientific study in the field of primary education, and supporting with both qualitative and quantitative data submits the study to the experts and non-experts using written, oral and visual presentation techniques. 3
PLO18 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Utilises information and communication technologies effectively. 4
PLO19 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Speaks one of the languages in the European language portfolio fluent enough to understand knowledge related to the field and maintain oral and written communication.
PLO20 Yetkinlikler - Öğrenme Yetkinliği Respects the social, scientific, cultural and ethical values while conducting a research and a project related to the field or interpreting a study.


Week Plan

Week Topic Preparation Methods
1 The concept of statistic, its structure, and common implementation areas. Literature review Öğretim Yöntemleri:
Anlatım, Tartışma
2 Needs of statistical analysis in educational researches Related literature review Öğretim Yöntemleri:
Anlatım, Tartışma
3 Setting up SPSS software and its basic features. No prep study Öğretim Yöntemleri:
Anlatım, Tartışma
4 Data entry into SPSS, data types and descriptions, arrangement of a dataset and preparing to analyze. No prep study Öğretim Yöntemleri:
Anlatım, Tartışma
5 Implementing descriptive statistics on a dataset and creation a report file. Reviewing open course materials related to subject Öğretim Yöntemleri:
Anlatım, Tartışma
6 Implementing cross-tables on a dataset, creating graphics and preparing a report. Reviewing open course materials related to subject Öğretim Yöntemleri:
Anlatım, Tartışma
7 According to research problem, choosing proper analysis technique. No prep study Öğretim Yöntemleri:
Anlatım, Tartışma
8 Mid-Term Exam Reviewing all of previous subjects and SPSS test applications Ölçme Yöntemleri:
Ödev
9 Implementation of T-test ANOVA test and preparing a report file No prep work Öğretim Yöntemleri:
Anlatım, Tartışma
10 Implementation of ANCOVA test and preparing its report file. No prep work Öğretim Yöntemleri:
Soru-Cevap, Anlatım, Tartışma
11 Simple correlation analysis Reviewing open course materials and course books Öğretim Yöntemleri:
Anlatım, Tartışma
12 Implementation Chi-Squire and Mann Whitney U tests Reading course books and related research papers Öğretim Yöntemleri:
Anlatım, Tartışma
13 Implementation of Kruskal Vallis H, Wilcoxon signed-rank test and creation a report file Reading course books and related research papers Öğretim Yöntemleri:
Anlatım, Tartışma
14 General evaluation of the analysis Reviewing previous subjects as well Öğretim Yöntemleri:
Anlatım, Tartışma
15 General evaluation of the analysis II Reviewing previous subjects as well Öğretim Yöntemleri:
Anlatım, Tartışma
16 Term Exams Reviewing all previous subjects and SPSS applications Ölçme Yöntemleri:
Ödev
17 Term Exams Reviewing all previous subjects and SPSS applications Ölçme Yöntemleri:
Ödev


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 1 14
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 6 4 24
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 153
Total Workload / 25 (h) 6,12
ECTS 6 ECTS

Update Time: 13.05.2024 11:49