2000
DOI: 10.1080/10871200009359192
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Assessing the relative importance of recall bias and nonresponse bias and adjusting for those biases in statewide anglersurveys

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Cited by 62 publications
(52 citation statements)
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“…We chose this program because it was purposefully designed to record catches of large fish and we believed that this program suffers little from problems typically associated with angler-supplied data. For example, a low response rate (<25%) from volunteer anglers is likely for angler-diary programs because recording every fish caught disrupts the angling trip (Connelly and Brown, 1996) and recall bias is a considerable problem for angler surveys (Connelly et al, 2000). In contrast, we believe most anglers take time to measure large fish when they are caught (i.e., no disruption to the angling trip) because it is an infrequent event.…”
Section: Methodsmentioning
confidence: 99%
“…We chose this program because it was purposefully designed to record catches of large fish and we believed that this program suffers little from problems typically associated with angler-supplied data. For example, a low response rate (<25%) from volunteer anglers is likely for angler-diary programs because recording every fish caught disrupts the angling trip (Connelly and Brown, 1996) and recall bias is a considerable problem for angler surveys (Connelly et al, 2000). In contrast, we believe most anglers take time to measure large fish when they are caught (i.e., no disruption to the angling trip) because it is an infrequent event.…”
Section: Methodsmentioning
confidence: 99%
“…Many researchers have reported on recall and other survey biases [6][7][8]18]. This study had a 58.6% survey completion rate over 76 trips.…”
Section: Discussionmentioning
confidence: 99%
“…Powell et al [5] evaluated the health of discarded fish relative to the presumed 10% mortality rate [3]. Inaccuracy in angler recall and nonresponses to angler surveys can bias recreational catch and effort data [6][7][8][9][10][11]. Chase and Harada [12] noted that reducing the time between the event and the reporting of the event could possibly reduce the impact of recall bias.…”
Section: Introductionmentioning
confidence: 99%
“…Another potential bias in angler surveys is that anglers often overestimate their catch (Pitcher and Hollingworth 2002) and therefore the number of fish caught in Canada may have been overestimated using the above methods. For future applications, the level of angler overestimation can be quantified and a correction factor applied to the survey data (see Connelly and Brown 1995;Connelly et al 2000). An examination of Canadian angler survey data also identified some potential metrics of interest.…”
Section: Discussionmentioning
confidence: 99%