Psychometrics and Survey Methods Consulting
I consult on psychometrics, survey methods, questionnaire development, and statistical modeling for researchers, organizations, and R&D teams that need measurement decisions to be defensible, interpretable, and practically useful.
AI tools can be useful for drafting, summarizing, and accelerating parts of this work. They are less reliable at noticing unstated assumptions, construct ambiguity, or the consequences that small measurement choices can have for score interpretation. My role is to bring psychometric judgment to those decisions: what should be measured, how it should be scored or modeled, and what can reasonably be concluded from the resulting data.
What I Can Help With
- Designing or revising questionnaires, surveys, rating forms, and assessment tools.
- Evaluating whether scores can be interpreted as intended.
- Developing or validating scales, including short scales and multidimensional measures.
- Modeling item responses, ratings, fluency scores, and other psychometric data.
- Working with item response theory, latent variable models, rater-mediated assessment, and related statistical models.
- Planning analyses and reporting results in a way that is technically sound and understandable to non-specialist stakeholders.
I primarily work with coding-based statistical workflows, especially in R, but I also have experience with other statistical software used across my publications, including SPSS, Stata, Mplus, and JASP.
Typical Questions
The work usually starts from questions such as:
- Is this instrument measuring one construct, several constructs, or something less coherent?
- Are the response options, scoring rules, or rating instructions aligned with the intended interpretation?
- How should ratings, counts, or ordinal responses be modeled?
- Can a short questionnaire provide useful information, and what are its limits?
- What evidence is needed before using a score for research, product, organizational, or educational decisions?
Relevant Background
My consulting builds on my academic work in psychometrics and measurement. I have authored a Cambridge Elements book on item response theory for creativity measurement and have published on topics including item response models, rating and judgment data, scale validation, and the measurement of creativity, aesthetic, and interpersonal skills.
Selected examples include work on item response theory for creativity measurement, the structure of empathy questionnaire scores, the French Ten-Item Personality Inventory, item-response modeling of the Standard Progressive Matrices, modeling PISA creative-thinking judgments, and Bayesian item response models for fluency scores.
I am based in New York City and work with collaborators and organizations in the New York area and elsewhere. This page is mainly about psychometric, survey, and statistical measurement work; it is not meant for clinical services, tutoring, or generic business coaching.