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Bias in Estimating Recreationists' Length of Stay from Sample Interviews

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Estimating recreational use of relatively unsupervised areas objectively depends upon sampling. Most land managers count visitors, and multiply by an estimate of length of stay to obtain man-days. Estimates of length of stay from on-site samples are biased upwards, however, because the probability of a visitor falling in the sample is a function of length of stay. Estimates of the attitudes or characteristics of recreationists based on interviews are also biased if the characteristics are associated with length of stay, as seems likely. The sample apparently cannot be drawn to produce an unbiased estimate directly, but a simple weighting procedure gives the desired estimate. The procedure requires multiplying the number and total days stayed of the samples with a stay of X days by 1/X, and totaling the products. The sample must be drawn with replacement. If the weighted total of days stayed is multiplied by the inverse of the sampling rate, an estimate of total man-days is obtained. Dividing this estimate by the average length of stay gives an estimate of visits. This procedure is believed to be more efficient than starting with visits.

Document Type: Journal Article

Affiliations: Economic Geographer with the Lake States Forest Expt. Sta., St. Paul, Minn. The Station is maintained by the Forest Service, U.S. Dept. Agric., in cooperation with the University of Minnesota

Publication date: December 1, 1963

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  • The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the Journal has received several national awards for excellence. The mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry: economics, education and communication, entomology and pathology, fire, forest ecology, geospatial technologies, history, international forestry, measurements, policy, recreation, silviculture, social sciences, soils and hydrology, urban and community forestry, utilization and engineering, and wildlife management. The Journal is published bimonthly: January, March, May, July, September, and November.

    2015 Impact Factor: 1.476
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