Who am I?

I am a statistician who has a broad background in psychometrics. From 1981 to 2002, I served as a full professor in departments of statistics at the University of Chicago, Hebrew University, and Northwestern University. From 2002 to 2017, I worked for ETS as a research director and after 2010 as a Distinguished Presidential Appointee. After a move to Israel in 2017, until May, 2018, I continued an affiliation with ETS as a Distinguished Research Scientist employed by their subsidiary Edusoft. Since June, 2018, I have worked as an independent consultant. Consulting was based in Israel until July, 2021, and has been based in the United States starting in August, 2021. I am a Fellow of the Institute of Mathematical Statistics, the American Statistical Association, and the American Association for the Advancement of Science. I have twice shared an NCME Award for Technical or Scientific Contributions in the Field of Educational Measurement, and I am the 2019 recipient of the NCME Award for Career Contributions to Educational Measurement. For a detailed record of my professional history and of my publications, see my curriculum vitae.

Services Available

As a statistician with extensive training and a wide range of experience, I can help clients looking to interpret and effectively utilize statistical data. I provide services in the following sectors:

  • Design, analysis, interpretation, and use of educational and psychological testing for admissions, hiring, and performance evaluation
  • Equating and linking test scores to ensure that different test forms and different test administrations can be used as interchangeably as possible
  • Identification of cheating and other threats to test integrity

  • Forecasting demand for goods and services provided by a company
  • Analysis of consumer surveys
  • Analysis of distribution of life times of equipment
  • Study of brand loyalty
  • Quality assurance
  • Risk assessment

  • Randomized controlled clinical trials
  • Observational studies of medical interventions
  • Survival analysis
  • Estimation incidence and prevalence of medical conditions

  • Evaluation of enumeration errors in censuses
  • Adjustment of survey data for sampling bias
  • Evaluation of sampling error of estimates derived by surveys
  • Survey design

Areas of Expertise

Use the buttons to view sample projects.

Censuses and Surveys
  • Qualitative data

    Sample Project: Prediction of attitudes toward women's role by education and gender of respondent
  • Weighting to compensate for sampling bias

    Sample Project: Adjustment by minimum discriminant information so that sample survey better conforms to census data
  • Complex samples

    Sample Project: Estimation of correlation coefficients under two-stage sampling
Continuous Responses
  • Survival analysis

    Sample Project: Comparison of survival times for three drug treatments for secondary presentation of myocardial infarctions
  • Regression analysis

    Sample Project: Prediction of attitudes toward women's role by education and gender of respondent
  • Nonparametric statistics

    Sample Project: Approximate confidence intervals for estimate of correlation of percentile-rank function based on Spearman correlation
  • Time series

    Sample Project: Examination of a time-series analysis cited by the Department of Justice to assist with a reply brief for an appeal to the Supreme Court
Psychometrics
  • Item-response theory (IRT)

    Sample Project: Computing reliability measures for a scaled score
  • Equating and linking of test forms

    Sample Project: Simultaneous linking of a very large number of test forms of an international language test
  • Analysis of assessment subscores

    Sample Project: Use of augmented subscores for a graduate admissions test
  • Detection and prevention of cheating in high-stakes tests

    Sample Project: Use of matching analysis to detect copying of responses anywhere in a test administration for a complete section of a test

Curriculum Vitae

Contact Information

Consulting services can be provided in as cost-effective manner as feasible given client capabilities. It is normally most efficient for clients to perform as much computation and analysis on their own as is practical; however, I can analyze data, provide assistance with use of statistical software, and program algorithms not readily available to clients. If my services are of interest, please contact me by any of the methods below. I will respond as promptly as possible and try to provide cost estimates, methods of payments, scheduling estimates, and logistical requirements to accomplish the tasks needed. I will decline work if conflicts of interest exist with respect to other clients or if I believe that I cannot assist a client in a cost-effective manner. In addition to the listed methods of contact, upon request, I can also use GoToMeeting, Google Chat, Google Meet, and Microsoft Teams.

haberman.statistics@gmail.com

Email, Zoom, and FaceTime


(857)352-6815