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Adjusting Survey Estimates for Response Bias: An Application to Trends in Alcohol and Marijuana Use

Authors: Robert A. Johnson; Dean R. Gerstein; Kenneth A. Rasinski;

Adjusting Survey Estimates for Response Bias: An Application to Trends in Alcohol and Marijuana Use

Abstract

Using retrospective self-report data on ages at first use of alcohol and marijuana from nine National Household Surveys on Drug Abuse conducted between 1982 and 1995, the authors show that estimates of alcohol and marijuana incidence (initiation) during early adolescence decline with increases in the length of the time interval between the data collection and reference periods. The consistency of this finding by gender and across eight birth cohorts, surveyed at different ages at interview and lengths of retention, supports an interpretation in terms of retrospective reporting bias. The authors apply an exponential decay model to adjust the estimates for response bias and use the model to show how bias distorts trends in alcohol and marijuana incidence between 1961 and 1990. An analysis of changes in lifetime-incidence and age-at-first-use reports of birth cohorts as the cohorts age suggests that forward telescoping accounts for most underreporting of early alcohol use and that intentional concealment accounts for most underreporting of marijuana use.

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    popularity
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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Average
Top 10%
Average
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