Sayın Katılımcılar,
Tam metin kongre bildirisini özet kitapçığında yayınlamak isteyen katılımcıların tam metin bildirilerini word formatında 30 Mayıs 2025 Cuma gününe kadar sisteme yüklemeleri gerekmektedir. Bu tarihten sonra gelen tam metin bildiriler kabul edilmeyecektir.
Tam metnini kitap bölümü olarak göndermek isteyen katılımcılar ise tam metinlerini word formatında info@uyik.org mail adresine göndermeleri gerekmektedir.
Dear Participants
Participants who wish to publish their full-text congress papers in the abstract booklet must upload their full-text papers in word format to the system until Friday, May 30, 2025. Full text papers received after this date will not be accepted.
Participants who want to send their full text as a book chapter should send their full texts in word format to info@uyik.org e-mail address.
On 29 July 2023, with a Circular published in the Official Gazette, it was aimed to increase the competitiveness of our country by expanding the use of open source software in the public sector, saving on IT expenditures, reducing producer dependency and strengthening cyber security. With this circular, instead of commercial statistical programs that are frequently used in scientific researches, Open Source Software has started to be used.
This program is ideal for researchers who do not know any statistical programs but are willing to learn because of its ease of use, user-friendly interfaces and simultaneous assumption checks of the analyzes. The program almost guides the researcher while making an analysis. In this respect, we expect those who will attend this event, where the following trainings will be given, to attend this event with their computers.
1. Writing and Interpretation of Statistical Hypothesis
2. Descriptive Statistics
3. Normal Distribution Tests
4. Correlation Analysis and Interpretation
5. Chi-square Analysis
6. Independent Sample T Test
7. Mann-Whitney U Test
8. Student T Test (Paired sample T Test)
9. Wilcoxon Rank Test
10. One Sample T Test
11. Linear Regression Analysis
12. Binary Logistic Regression Analysis
13. Factor Analysis
14. Reliability Analyses
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