quantitative research methods
With formal training in academic research approaches and teaching experience in quantitative methods at the doctoral-student level, services include direction on collecting data for empirical research (e.g., survey design and pilot testing), analyzing data including use of non-traditional approaches such as Structural Equation Modeling (SEM), interpretation of results, and reporting of findings for research papers and manuscripts (e.g., dissertation).
analytics SOFTWARE
Based on experience in developing course plans and providing instruction for graduate students and working professionals, we also offer training and education in analytics ranging from data project development to learning a specific programming language or statistical software.
Our services include corporate education, 1-on-1 tutoring, and basic training in the application of data science and analytical techniques using spreadsheet software (e.g., Microsoft Excel), programming languages (e.g., Python, R/R Studio), menu-down based software (e.g., SPSS), and visualization tools (e.g., Microsoft Power BI and Tableau). Additionally, this includes how to integrate Generative Artificial Intelligence (AI) such as ChatGPT into the data analysis process.