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Amang Sukasih
Senior Statistician
Amang Sukasih is a senior statistician at Mathematica. He specializes in survey sampling design, weighting calculations, and nonresponse adjustments including imputation, complex survey data analysis, variance estimation, and designing and analyzing methodological studies.
Sukasih is experienced with the design, data structure, and estimation of the individual Scientists and Engineers Statistical Data System (SESTAT) component surveys, the National Survey of College Graduates (NSCG), the National Survey of Recent College Graduates (NSRCG), and the Survey of Doctorate Recipients. In the most recent NSRCG (2008), he played an important role in supervising and performing several statistical tasks, including frame construction, sample selection, data imputation for item nonresponse, weighting for unit nonresponse, and replicate weight construction.
Sukasih’s experience includes work on data from postsecondary institutions, such as the Integrated Postsecondary Education Data System (IPEDS). He conducted a reliability and validity study of the IPEDS data components through test-retest data. In another study, he evaluated the reliability, validity, and overall quality of the IPEDS Graduation Rate data by comparing it with the graduation rate data compiled from a subset of state student unit record data systems.
Sukasih is also experienced with Department of Defense (DoD) Military Health System (MHS) data. He has worked on sampling design and nonresponse adjustment in surveys to evaluate the MHS, such as the Health Care Survey of DoD Beneficiaries (HCSDB) and the Collateral Beneficiary Access Study, which surveys both MHS beneficiaries and health providers. He has a Ph.D. in statistics from Texas A&M University.
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- Areas of Expertise
- Key Projects
- Professional Activities
- Publications
- Survey sampling design and weighting calculations
- Nonresponse adjustments including imputation
- Complex survey data analysis, variance estimation, and designing and analyzing methodological studies
- Weighting Methods for the Scientists and Engineers Statistical Data System
- National Survey of Recent College Graduates
- Health Care Survey of U.S. Department of Defense Beneficiaries
- Member, American Statistical Association
- "A Simulation Study to Compare Weighting Methods for Survey Nonresponses in the National Survey of Recent College Graduates" In 2009 Proceedings of the Section on Survey Research Methods of the American Statistical Association (2009)
- "Effects of Misclassification of Race/Ethnicity Categories in Sampling Stratification Affects Survey Estimates" In 2009 Proceedings of the Section on Survey Research Methods of the the American Statistical Association (2009)
- "An Application of Confidence Interval Methods for Small Proportions in the Health Care Survey of DoD Beneficiaries" American Statistical Association Section on Survey Research Methods (August 2005)