Course Details Language of Instruction Turkish Level of Course Unit Doctorate's Degree Department / Program Architecture (PhD) Type of Program Formal Education Type of Course Unit Elective Course Delivery Method Face To Face Objectives of the Course The aim of this course is to teach students statistical analysis methods in the field of architecture and to enable them to use them in their research processes. This course aims to teach students basic statistical concepts, data collection methods, analysis techniques and statistical hypothesis testing. Students learn to choose the right data collection methods, analyse the data, interpret the results and make statistically correct inferences in their architectural research. They are also prepared for real world applications by learning the use of common statistical software such as SPSS. This course provides students with a solid foundation in scientific research in the field of architecture, enabling them to develop analytical thinking and critical evaluation skills. Course Content Introduction to statistics, definition and purpose of statistics, importance of statistics in the field of architecture, steps of statistical analysis process, obtaining accurate and reliable data, analysis and interpretation of results, preparing a questionnaire, design and content of the questionnaire, application of the questionnaire and data collection process, other data collection methods, observation, interview, focus groups, one-dimensional distributions and frequency calculations, examination of the distribution of variables, The course consists of creating frequency tables and graphs, descriptive statistics and measures of central tendency, mean, median, mode and standard deviation, t-test, ANOVA, independent and dependent sample t-tests, chi-square test, Mann-Whitney U Test, basic use of SPSS program, data entry, editing and coding, performing basic statistical analyses with SPSS, presentation and discussion of students' research results, feedback from other students and discussion. Course Methods and Techniques Prerequisites and co-requisities None Course Coordinator None Name of Lecturers Prof.Dr. GÜLDEN AYALP Assistants None Work Placement(s) No Recommended or Required Reading Resources Detay Yayıncılık Uygulamalı Istatistik Ve Geçerlik Güvenirlik / Reha Alpar Course Notes Lecturer notes • Barzun, J. Ve Graff, H.F. (2001) Modern Araştırmacı, Tübitak Popüler Bilim Kitapları, 11. Basım, Ankara. • Özdamar, K. (2003) Modern Bilimsel Araştırma Yöntemleri, Kaan Kitabevi, Eskişehir. • Ströker, E. (1990) Bilim Kuramına Giriş, Ara Yayıncılık, İstanbul. • Yamare, T. (2001) Temel Örnekleme Yöntemleri, Literatür Yayıncılık, İstanbul. • Yıldırım, A. ve Şimşek, H. (2004) Sosyal bilimlerde Nitel Araştırma Yöntemleri, 4. Basım, Seçkin, Ankara. • Yıldırım, C. (1997) Bilimsel Düşünme Yönetemleri, Bilgi Yayınevi, Ankara. • Yıldırım, C. (2006) Bilim Tarihi, 10.Basım, Remzi Kitabevi, İstanbul. • Kalaycı Ş. (2006) Course Category Social Sciences %30 Science %20 Field %50