FBE716

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

Information

Code FBE716
Name
Term 2022-2023 Academic Year
Term 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 Doç. Dr. PINAR FETTAHLIOĞLU
Course Instructor
1


Course Goal / Objective

In this course, it is aimed that students will be able to choose the appropriate analyzes depending on the research questions they encounter, to use the SPSS package program for multivariate analyzes and to write reports in an appropriate way.

Course Content

The course will focus on assumptions of multivariate statistical techniques, MANOVA, simple and multiple linear regression, logistic regression, two-way ANOVA in mixed measures, non-parametric techniques and factor analysis.

Course Precondition

none

Resources

Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2012). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları (Vol. 2). Ankara: Pegem Akademi.

Notes

Miran, B. (2021). Temel İstatistik: Genişletilmiş baskı (Vol. 1). Bülent Miran.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 • Explains advanced concepts in statistics
LO02 Performs advanced statistical analysis
LO03 Interprets the tables obtained in the analysis results.
LO04 Reports the results obtained


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Define and apply scientific research and analysis methods used in science 5
PLO02 Bilgi - Kuramsal, Olgusal Has basic knowledge and skills related to Science Education. 3
PLO03 Bilgi - Kuramsal, Olgusal Explains the development and learning theories within the scope of science education. 3
PLO04 Bilgi - Kuramsal, Olgusal Describes instructional strategies, methods and techniques on the level of expertise on the basis of undergraduate qualifications.
PLO05 Bilgi - Kuramsal, Olgusal Explains the interaction between disciplines related to the field. 3
PLO06 Bilgi - Kuramsal, Olgusal Explains the knowledge in the subject areas of science education at the level of expertise.
PLO07 Bilgi - Kuramsal, Olgusal Relate knowledge of science education with information in different fields.
PLO08 Bilgi - Kuramsal, Olgusal Apply the theoretical and practical knowledge in the field of expertise
PLO09 Bilgi - Kuramsal, Olgusal Criticize the practices related to science education at national and international level.
PLO10 Bilgi - Kuramsal, Olgusal Plans and conducts a scientific research.
PLO11 Bilgi - Kuramsal, Olgusal Apply teaching methods and techniques on the basis of undergraduate qualifications.
PLO12 Bilgi - Kuramsal, Olgusal Manages a study that requires expertise in the field independently. 5
PLO13 Bilgi - Kuramsal, Olgusal Makes teamwork or leadership in situations that require resolution of problems related to the field.
PLO14 Beceriler - Bilişsel, Uygulamalı Questions scientific and social issues with new perspectives.
PLO15 Beceriler - Bilişsel, Uygulamalı Carries out studies in the field of lifelong learning.
PLO16 Beceriler - Bilişsel, Uygulamalı Follow technological developments.
PLO17 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Provides a scientific study in the field of science education, supported by qualitative and quantitative data, in writing, orally and visually, to experts or non-specialists. 5
PLO18 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Uses information and communication technologies effectively 3
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 3
PLO20 Yetkinlikler - Öğrenme Yetkinliği Acts in accordance with social, scientific, cultural and ethical values when conducting a scientific research or project or interpreting a study. 3


Week Plan

Week Topic Preparation Methods
1 information about this course read related section Öğretim Yöntemleri:
Soru-Cevap
2 assumptions of multivariate statistical techniques, hands-on preparation Öğretim Yöntemleri:
Alıştırma ve Uygulama
3 assumptions of multivariate statistical techniques-ıı hands-on preparation Öğretim Yöntemleri:
Alıştırma ve Uygulama
4 MANOVA, hands-on preparation Öğretim Yöntemleri:
Alıştırma ve Uygulama
5 simple and multiple linear regression, hands-on preparation Öğretim Yöntemleri:
Alıştırma ve Uygulama
6 simple and multiple linear regression-ıı hands-on preparation Öğretim Yöntemleri:
Alıştırma ve Uygulama
7 logistic regression hands-on preparation Öğretim Yöntemleri:
Alıştırma ve Uygulama
8 Mid-Term Exam Ölçme Yöntemleri:
Ödev
9 two-way ANOVA on mixed measures, hands-on preparation Öğretim Yöntemleri:
Alıştırma ve Uygulama
10 two-way ANOVA on mixed measures-ıı hands-on preparation Öğretim Yöntemleri:
Alıştırma ve Uygulama
11 nonparametric techniques hands-on preparation Öğretim Yöntemleri:
Alıştırma ve Uygulama
12 nonparametric techniques-ıı hands-on preparation Öğretim Yöntemleri:
Alıştırma ve Uygulama
13 factor analysis hands-on preparation Öğretim Yöntemleri:
Alıştırma ve Uygulama
14 factor analysis-ıı hands-on preparation Öğretim Yöntemleri:
Alıştırma ve Uygulama
15 factor analysis-ııı hands-on preparation Öğretim Yöntemleri:
Alıştırma ve Uygulama
16 Term Exams Ölçme Yöntemleri:
Ödev
17 Term Exams-ıı 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

Update Time: 27.11.2022 10:29