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Eskişehir Academy of Economic and Commercial Sciences, founded in 1958, formed the basis of Anadolu University. The Academy was replaced by Anadolu University in 1982, which has gained a well-deserved place as a modern, dynamic and innovative institution among the largest universities not only in Türkiye, but also in the world.
ACADEMICS
OPEN EDUCATION
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Anadolu University Open Education System plays an essential role in overcoming educational problems of Türkiye not only by providing open and distance education to 1 million active students and 3.5 million graduates but also by developing specific projects. Besides with those numbers, the system is among the mega universities of the world. By the constantly renewing method of open and distance education, it implements many initiatives and innovations in the Turkish Higher Education System.
STUDENT AFFAIRS
RESEARCH
Araştırma
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Kısa adıyla BAP (Bilimsel Araştırma Projeleri), yüksek öğretim kurumlarındaki bilimsel araştırmaların desteklenmesi amacıyla geliştirilmiş bir uygulamadır. Bu uygulama YÖK'ün 01.01.2002 tarihinden geçerli olmak üzere yürülüğe aldığı Yükseköğretim Kurumları Bilimsel Araştırma Projeleri Hakkında Yönetmelik uyarınca gerçekleştirilmektedir. Üniversitemizin tüm öğretim elemanları BAP Komisyonuna başvurarak bilimsel araştırmaları için kaynak alabilirler.
CAMPUS LIFE
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At Anadolu University, social and cultural activities are as important as education and scientific research. The University frequently holds scientific events such as conferences, seminars, panels, congresses and symposia, and cultural activities such as exhibitions, stage performances and concerts. In addition to smaller conference halls in each unit, Atatürk Culture and Arts Center, Congress Center and Cinema Anadolu on Yunusemre Campus house many activities throughout the year.

STRUCTURAL EQUATION MODELING

Content

Weeks	Topics
1. Weeks	Introduction and Review of Concepts: Theory and Model, The Data Matrix and Other Matrices, A Short History of SEM, Basic terminology of SEM
2. Weeks	Path diagrams: Latent vs. observed variables, Endogenous and exogenous variables, Measurement vs. structural models
3. Weeks	Research Methods Overview: Measurement Models Construction: Methods of Designing, Multi-item Scale Construction
4. Weeks	Factor Analysis: Data reduction, Principal Components Analysis, Exploratory and Confirmatory Factor Analysis, Rotation of components, Component Loading, Kaiser Rule, Elbow Plot
5. Weeks	Factor Analysis Applications with SPSS and JMP
6. Weeks	Classical Test Theory: Uni-dimensional scales, Reliability Analysis, Validity, the number of dimensions in a dataset, Summated Scales, Computer-Based Item Analysis.
7. Weeks	Path Analysis (Models with Only Manifest Variables:): Model specification, Identifying and Estimating Acyclic Models, Fit Indices, Two-Way Causation
8. Weeks	Measurement models with latent variables: The Measurement Model in SEM, Structural models with latent variables
9. Weeks	The General Causal Model: Analysis of the General Model, Direct and Indirect Effects, Model specifications, Model identification and model estimation.
10. Weeks	Evaluation of Models: Model fit indices, model testing and model modifications
11. Weeks	SEM-Analysis and AMOS: Identification, Estimation Methods, Programming in AMOS, Examining AMOS Output
12. Weeks	SEM-Analysis: Application tools and techniques of SEM: Applications and comparison with Minitab, JMP SAS, IBM SPSS and AMOS