Development and Analysis of Joint Internet–Telephone Hunter Surveys
Bibliographic Data
| ID | 15327150 |
|---|---|
| Authors | Paul M Lukacs (0000-0002-3584-8314, Colorado Parks and Wildlife, corresponding author) |
| Year | 2007 |
| Volume | 12 |
| Issue | 4 |
| Pages | 263-273 |
| Publication date | 2007-08-10 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Human Dimensions of Wildlife (JOURNAL) |
| Journal identifiers | ISSN: 1087-1209 • E-ISSN: 1533-158X |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/10871200701442858 |
| OpenAlex | W2029938143 |
| Language | EN |
| Citations received | 1 |
| References cited | 17 |
Wildlife management agencies survey hunters to estimate harvest rates and opinions. Telephone surveys have been considered an effective survey tool for minimizing non-response bias. Recent changes in human demographics and telephone technology such as caller identification and cellular telephones have been linked to reduced response rate, increased likelihood of non-response bias, and increased cost of surveys. These changes have resulted in an interest in using the Internet as a survey tool. There are complications associated with the use of Internet surveys. Analysis methods for combining data from telephone and Internet surveys are developed. An example survey of duck hunter season preferences is presented to demonstrate this method. People providing e-mail addresses to the Colorado Division of Wildlife are a non-random sample of hunters. The survey is used to show there is a difference in estimates from the e-mail and telephone respondents and that corrections for the differences can be made. Keywords: harvest surveyinteractive voice responsee-mail surveynonresponse biassurvey automationsurvey design The author thanks J. Gammonley, T. Remington, and M. Lloyd for their efforts in implementing the duck season preference survey and Corybant, Inc. for conducting the survey. T. Shenk, M. Alldredge, J. Vaske, and two anonymous referees provided comments on the manuscript. Notes SAS Institute Inc. (2006). SAS 9.1. Cary, NC
Advertising · Business · Geography · Internet privacy · Joint (building · Telecommunications · The Internet · World Wide Web · Computer Science · Data-Driven Disease Surveillance · Engineering · Focus Groups and Qualitative Methods · Survey Methodology and Nonresponse
Bayesian Data Analysis
Model Assisted Survey Sampling
Information Theory and an Extension of the Maximum Likelihood Principle
Mail and Internet Surveys
Hunting Activity Record-Cards and the Accuracy of Survey Estimates
Use of the Internet Among Illinois Hunters
Social Access to the Internet
Toward a Typology of Internet Users and Online Privacy Concerns
Changes in Telephone Survey Nonresponse over the Past Quarter Century
Estimating Bias Due to Nonresponse in Mail Surveys
Survey Research
| Citations per year | 0.07 |
|---|---|
| Citation span | 2011 - 2011 (1) |
| Highly cited | No |