Kremling uses data from the Drug Use Forecasting (DUF) and the Arrestee Drug Abuse Monitoring (ADAM) programs to explore whether the drug estimates of DUF, using a non-probability sample, and the drug use estimates of ADAM, using a probability sample, yield different results. She finds that the drug use information in DUF and ADAM is not substantially different for marijuana, cocaine, and opiates for all sites analyzed together. Her main conclusion is that a probability sample does not produce results that are substantially different from a convenience sample. While a researcher can attempt to draw a probability sample, it is still volunteers who agree to participate just as in a convenience sample.
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Kremling uses data from the Drug Use Forecasting (DUF) and the Arrestee Drug Abuse Monitoring (ADAM) programs to explore whether the drug estimates of DUF, using a non-probability sample, and the drug use estimates of ADAM, using a probability sample, yield different results. She finds that the drug use information in DUF and ADAM is not substantially different for marijuana, cocaine, and opiates for all sites analyzed together. Her main conclusion is that a probability sample does not produce results that are substantially different from a convenience sample. While a researcher can attempt to draw a probability sample, it is still volunteers who agree to participate just as in a convenience sample.
Janine Kremling completed her doctorate in Criminology at the University of South Florida. She is an Associate Professor in the Department of Criminal Justice at the California State University at San Bernardino. Her research with regard to student learning has focused mainly on metacognition and the impact of institutional culture on the learning environment.
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