Amang Sukasih is a senior research statistician in RTI’s International Statistics Program. Dr. Sukasih is an expert in survey sampling design, experimental and quasi-experimental designs, adaptive survey design, weighting calculations, and nonresponse adjustments, including imputation for missing data. He also has experience with complex survey data analysis, variance estimation, small area estimation, statistical disclosure avoidance, statistical process control, and design and analysis of methodological studies.
Dr. Sukasih specializes in survey design and sample selection for surveys relating to military populations, postsecondary graduates, and surveys of area, housing unit, household, educational institution, and individual person as the sampling unit. He is experienced with sampling frames based on address, phone number, and traditional list frames. Currently, Dr. Sukasih serves a senior statistician for the Early Career Doctorate Study, a study to collect in-depth information about the work experiences and career paths of recent doctorate recipients, including postdoctoral researchers. His responsibilities for this role include designing the samples, preparing the Office of Management and Budget package, calculating weights, and performing sample size calculations, sample selection, imputation, and nonresponse bias analysis.
Dr Sukasih is a proficient SAS and R programmer and has experience with 20 programming languages. Dr. Sukasih has coauthored many papers about sampling, small area estimation, and nonresponse adjustments. Outside of RTI International, he reviews journal manuscripts and papers.