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Statistical Sciences

Survey Statistics, Survey Methodology & Statistical Analysis

Westat leads the field in innovative and sound statistical and methods research. We develop and implement approaches that produce quality data, meeting clients' challenges and resource needs. Harnessing the power of data science and analytics, statistical disclosure control, and survey experiments and testing, we deliver accurate and comprehensive data.

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See how we can answer questions like...

How do you effectively work with a vast amount of data for a large K-12 survey?

What’s the best method for estimating employee compensation across job types?

How do researchers account for underreporting in surveys?

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Statistical Sciences Leadership

Jeri Mulrow
Jeri Mulrow
Vice President, Statistics and Evaluation Sciences Staff Director

Meet our Experts

12

ASA Fellows

80+

Staff

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Information Technology

Westat Expertise at 2020 Clinical Trials Strategic Summit

Data Collection & Survey Research

Westat Supports Clients in Range of COVID-19 Research

Statistical Sciences

Daifeng Han and Richard Valliant Publish on How Models Affect Calibration Estimators

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Publications

Tipton E. and Olsen R.B. (2018).

A review of statistical methods for generalizing from evaluations of educational interventions.

Educational Researcher, 47(8), 516-524.
DOI
Brick J.M. (2018).

Sampling to minimize nonresponse bias.

In D.L. Vannette and J.A. Krosnick (Eds.), The Palgrave handbook of survey research (pp. 23-28). Cham, Switzerland: Palgrave Macmillan.
Source
Olsen R.B., Bell S.H., and Nichols A. (2018).

Using preferred applicant random assignment (PARA) to reduce randomization bias in randomized trials of discretionary programs.

Journal of Policy Analysis and Management, 37(1), 167-180.
DOI

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