ME703 Applied Education Statistics I

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

Information

Code ME703
Name Applied Education Statistics I
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. KAMURAN TARIM


Course Goal

The main objective of this course is to gain basic concepts of statistics aplied to education and to implement application of parametric and nonparametric techniques which are used in social sciences.

Course Content

Introduction to statistics and basic concepts in statistics,descriptive statistics (central tendency, distribution), correlation, hypothesis testing, tests of difference, chi square analysis, statistical data analysis with packet softwares (SPSS) .

Course Precondition

none

Resources

Büyüköztürk, Ş. (2010). Sosyal Bilimler İçin Veri Analizi El Kitabı. Pegem

Notes

Özyürek, R. ; Tarım, K. (2020). Psikolojik Danışmada İstatistik Ve IBM Spss Uygulamaları. Pegem


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains basic statistical concepts
LO02 Compares the measures of central tendency
LO03 Explains distribution measures
LO04 Defines variables in SPSS package program
LO05 Enter data in SPSS package program
LO06 Explains hypotesis testing
LO07 Explains independent sample t test
LO08 Explainsin paired sample t test
LO09 Applies T-tests using SPSS
LO10 Explains the use of variance analysis
LO11 Performs variance analysis using SPSS
LO12 Writes the report after data analys.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Scientific research and analysis methods in mathematics education. 5
PLO02 Bilgi - Kuramsal, Olgusal Expresses mathematics curriculum and basic principles on which it is based.
PLO03 Bilgi - Kuramsal, Olgusal Explain the learning theories in mathematics education.
PLO04 Bilgi - Kuramsal, Olgusal Describes teaching strategies, methods and techniques appropriate for undergraduate qualifications.
PLO05 Bilgi - Kuramsal, Olgusal Explains the interdisciplinary versions related to the field.
PLO06 Bilgi - Kuramsal, Olgusal Explains mathematics subject areas at the level of knowledge expertise.
PLO07 Bilgi - Kuramsal, Olgusal Knowledge of different fields with knowledge of mathematics education.
PLO08 Bilgi - Kuramsal, Olgusal Explain the theoretical and practical knowledge in the field of expertise.
PLO09 Bilgi - Kuramsal, Olgusal Criticizes guidance at primary and international level.
PLO10 Bilgi - Kuramsal, Olgusal Plans and conducts a scientific research. 5
PLO11 Bilgi - Kuramsal, Olgusal Applies teaching methods and skills in accordance with undergraduate qualifications. Personal and Professional Competencies
PLO12 Bilgi - Kuramsal, Olgusal Manages an area of ​​expertise in its field independently.
PLO13 Bilgi - Kuramsal, Olgusal Carries out teamwork or leadership in situations that require resolution of problems related to the field.
PLO14 Beceriler - Bilişsel, Uygulamalı New invisible in terms of scientific and social aspects. 2
PLO15 Beceriler - Bilişsel, Uygulamalı Studies in the field carry out lifelong learning.
PLO16 Beceriler - Bilişsel, Uygulamalı Follows technological developments.
PLO17 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Supports a scientific study conducted in the field of mathematics education with qualitative and quantitative data and presents to the experts or non-experts in written, oral and visual. 4
PLO18 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Effectively covers information and communication technologies.
PLO19 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Use the languages ​​of the European language portfolio to understand the information in the field and to communicate verbally and in writing.
PLO20 Yetkinlikler - Öğrenme Yetkinliği The strategy of reviewing a study or reviewing a study acts in accordance with scientific, scientific and ethical values. 3


Week Plan

Week Topic Preparation Methods
1 Basic statsiticalconcept -Variable -Measurement and Scale Types Büyüköztürk(2010) related chapter Öğretim Yöntemleri:
Tartışma
2 Organization of data -Establish the original frequencytable -Examine the frequency of tables used in research. Büyüköztürk(2010) related chapter Öğretim Yöntemleri:
Tartışma
3 Measures of Central tendency-Steam and leaf plots-mod, median,mean Büyüköztürk(2010) related chapter Öğretim Yöntemleri:
Tartışma, Soru-Cevap, Anlatım
4 Measures of Dispersion -Standard Deviation -Variance Büyüköztürk(2010) related chapter 4 Öğretim Yöntemleri:
Anlatım, Soru-Cevap
5 Techniques of correlation Büyüköztürk(2010) related chapter 5 Öğretim Yöntemleri:
Anlatım, Soru-Cevap
6 Introduction to SPSS program -Variable definition -Introduction of some of the commands Büyüköztürk(2010) related chapter 6 Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Inserting data using SPSS program Büyüköztürk(2010) related chapter 6 (continues) Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
8 Mid-Term Exam preperation the task Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
9 Testing hypothesis-Steps of Hypothesis testing Büyüköztürk(2010) related chapter 7 Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Difference of meanstests-Independent samples t-test Büyüköztürk(2010) related chapter 8 Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
11 Difference of meanstests-Paired samplest-test Büyüköztürk(2010) related chapter 8 (continues) Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Applications of Independent and Dependent samples t-test Büyüköztürk(2010) related chapter 8 (continues) Öğretim Yöntemleri:
Alıştırma ve Uygulama
13 One-Way Variance Analysis Büyüköztürk(2010) related chapter 9 Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
14 Applications of One-Way Variance Analysis Büyüköztürk(2010) related chapter 9 (continues) Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
15 Non parametric tests-Chi square test Büyüköztürk(2010) related chapter 10 Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
16 Term Exams preparing exam Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams preparing 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 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