Manolo Romero Escobar is a seasoned Psychometrician and Assessment Scientist with a passion for delivering impactful solutions to clients. With expertise in assessment, evaluation, and measurement, Manolo excels in providing tailored consulting services to address the unique needs of his clients.
Throughout his career, Manolo has worked extensively as a research and statistical consultant, serving a diverse range of clients including health researchers, educational institutions, and government agencies. His specialties include factor analytical and latent-trait methods of measurement, as well as applications of linear mixed effects to nested, longitudinal, unbalanced data.
Manolo is also proficient in statistical programming languages such as R, Excel, SPSS, and Mplus, and has experience with Python and SQL. He is passionate about leveraging technology as an educational and training tool, and he continuously enhances his skills to stay at the forefront of his field.
With a focus on linear mixed effects modeling, latent variable modeling, and scale development, Manolo brings a wealth of knowledge and experience to every project he undertakes. He holds a B.A. and Licentiate degree in Psychology from Universidad del Valle de Guatemala and a M.A. in Psychology (Area: Developmental and Cognitive Processes) from York University.