PSK 602 - Advanced Statistics

The primary aim of this course is to introduce students to advanced statistical analysis techniques and to enhance their theoretical understanding in this field. The course is designed to help students move beyond classical regression models and gain a comprehensive understanding of Structural Equation Modeling (SEM), including its fundamental assumptions, components, and areas of application. It also aims to develop students’ skills in modeling, operationalizing, and testing complex research questions. In addition, practical instruction will be provided on the use of the R programming language for conducting statistical analyses, enabling students to gain proficiency in statistical software tools.

This course combines the theoretical foundations and practical applications of advanced statistical methods. The topics covered throughout the semester include:

• Review of basic statistical concepts

• Introduction to regression analysis and classical multiple regression models

• Theoretical foundations of Structural Equation Modeling (SEM)

• Developing and operationalizing conceptual models in SEM

• Measurement models: Confirmatory Factor Analysis (CFA)

• Structural models: Testing causal relationships

• Model fit and interpretation of fit indices

• Modeling with mediating and moderating variables

• Conducting SEM analyses using R (e.g., with the lavaan package)

• Applied data analysis exercises

• Reporting and interpreting results in APA format

• Scientific article writing: developing research questions, writing method sections, conducting analysis, and writing discussions

Throughout the course, both theoretical instruction and hands-on practice are emphasized. Students are expected to conduct their own data analyses and transform them into a scientific article format.

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Research Design in Clinical Psychology (4. Baskı). ABD: Allyn & Bacon.

Eldoğan, D., Korkmaz, L., Helvacı, E., Yeniçeri, Z. ve Kökdemir, D. (2015). Akademik Yazım Kuralları Kitapçığı (4. Baskı). Ankara: Başkent Üni. Psi. Bölümü / http://psk.baskent.edu.tr/docs/AYKK_04.pdf