Assistance with understanding statistical outputs, generating meaningful conclusions, and explaining findings in the context of research questions.
Help with writing, structuring, and formatting manuscripts, including the presentation of methods, results, and interpretation sections.
Providing guidance and instruction on statistical methods, software usage, and best practices in data analysis and research design.
Support in preparing slides, posters, figures, diagrams, and other materials for conferences, as well as advice on effectively presenting statistical findings.
Regression analysis, path analysis, multilevel modeling (MLM), confirmatory factor analysis (CFA), item response theory (IRT) analysis, structural equation modeling (SEM), latent growth curve models (LGCM), latent class analysis (LCA), latent transition analysis (LTA), latent class growth analysis (LCGA), growth mixture modeling (GMM), discrete-time survival analysis, continuoustime survival analysis, and combinations of these models.
R: A programming language and environment for statistical computing and graphics, highly extensible and open-source, Rstudio: An integrated development environment for R and Python, RShiny: Shiny is an R package that makes it easy to build interactive web applications, SAS: A software suite for data management, predictive analytics, and business intelligence, known for handling large datasets and enterprise applications, SPSS: A software package for statistical analysis, data management, and data visualization, recognized for its user-friendly interface, Stata: Software for statistical analysis, data management, and graphics, favored for its ease of use and comprehensive documentation, LISREL: A software package specialized in structural equation modeling, offering robust tools for SEM, Mplus: Widely used SEM software with advanced features for latent growth, multilevel, and mixture modeling.
I offer comprehensive grant support services including: Grant Writing and Editing: Crafting compelling grant proposals that effectively communicate the significance and impact of your research. Statistical Analysis Plans: Developing detailed and robust statistical analysis plans tailored to your research objectives. Power Analysis and Sample Size Justification: Conducting power analyses to determine the optimal sample size and justify it to funding agencies. Budget Justification and Development: Creating accurate and convincing budget justifications that align with your project needs. Review and Critique of Grant Proposals: Providing thorough reviews and critiques to enhance the quality and competitiveness of your proposal.