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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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Machine Learning: Bridging Statistics and IT to Solve Data Management Challenges

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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

12

ASA Fellows

80+

Staff

160

Recent Publications

News

Data Collection & Survey Research

2019 Data Linkage Day Includes Westat Research

Statistical Sciences

Improving Data Quality, Examining Data Trends: Westat at 2019 STATS-DC Conference

Statistical Sciences

Westat Working with Child Safety Advocates at 2019 Kidz in Motion Conference

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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