Multivariate Stats Exam Responses

This course covers simultaneous, sequential, and hierarchical multiple regression and other advanced statistical topics. Transforming non-linear data and detecting multicollinearity are discussed. Students analyze data using statistical software and interpret results.

The links below contain a work sample demonstrating my knowledge and abilities in advanced statistical analysis, including a copy of the final exam questions as well as a sample of my statistical analysis on a homework assignment. The purpose of this assignment was to assess my understanding and application of advanced statistical concepts. 

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This demonstrates the following key competencies:

• Knowledge of various statistical procedures, such as Multiple and Logistic Regression, MGLM / MANOVA, Discriminant and Cluster Analysis, Exploratory and Confirmatory Factor Analysis,
Path Analysis, and Structural Equation Analysis
• Knowledge of APA format and how to report statistical results
• Ability to design experimental, quasi-experimental, and observational studies
• Ability to organize and summarize data
• Ability to use SPSS and AMOS to complete statistical analysis, including interpretation and
communication of results
• Ability to critically evaluate quantitative information
• Ability to evaluate data and determine the best approach to analysis