Research Expertise
MAP Acacademy faculty and staff specialize in mixed-methods, experimental, quasi-experimental and correlational designs, along with the applied analytics and statistical approaches linked to these designs. We are also experts in open science best practices that support study pre-registration, data transparency and reproducibility, data sharing and registered reports.
Applied Analytics, Statistics & Modeling
Applied Analytics, Statistics & Modeling
Applied Analytics, Statistics & Modeling
We are dedicated to the development, improvement, evaluation and novel application of rigorous quantitative methods, with the goal of fostering methodologically sound research in the social, behavioral, health and educational sciences. Our team provides cutting-edge modeling and computational expertise (e.g., structural equation modeling [SEM], multilevel modeling [MLM], dyadic and longitudinal data, missing data, moderation, mediation, biostatistics).
Measurement
Measurement
Measurement
We are committed to advancing methodology related to measurement and applied psychometrics in instrument development, analysis and evaluation, including scale/test development, item response theory modeling and diagnostic assessment. Our team integrates perspectives from multiple disciplines to develop creative solutions to applied psychometric questions for researchers across various disciplines.
Research Design & Methods
Research Design & Methods
Research Design & Methods
We work as highly collaborative members of research teams to inform overall study design (e.g., experimental, quasi-experimental, observational designs), craft sampling and randomization plans, conduct power analyses to inform sample size requirements and minimally detectable effect sizes, inform data collection and management procedures, design data analysis plans and guide assessment of intervention fidelity.
Data Infrastructure & Management
Data Infrastructure & Management
Data Infrastructure & Management
We provide extensive supports to teams on needed structural services required for large-scale funded research such as database development, data management and data sharing, as well as expertise in best practices for metadata (e.g., variable naming and organization) and data curation. Our team supports open science best practices, including managing data sharing and archiving, data harmonization, and data and variable standardization for submission to data repositories in compliance with funder requirements.
Interested in collaborating?
Partner with the MAP Academy to:
- Develop compelling proposals.
- Conceptualize innovative research designs.
- Implement best practices for data quality.
- Conduct comprehensive statistical analyses.
- Interpret results for maximum positive impact.
- And more!
