2014
DOI: 10.1080/00028487.2014.901252
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Cluster Sampling: A Pervasive, Yet Little Recognized Survey Design in Fisheries Research

Abstract: Cluster sampling is a common survey design used pervasively in fisheries research to sample fish populations, but it is not widely recognized by researchers. Because fish collected via cluster sampling are not independent of each other, standard simple random sampling estimators and statistical tests that assume independence cannot be used to make inferences about fish populations. If the clustered nature of fisheries data is ignored, the main consequence is that the type I error rate of common statistical tes… Show more

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Cited by 37 publications
(19 citation statements)
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“…Models that were assumed to follow a Poisson distribution were evaluated with deviance/df, and models that were assumed to follow a binomial distribution were evaluated with the Hosmer–Lemeshow test. Individual platforms were treated as clusters to account for sampling the same platform multiple times (Nelson ), and platform was the experimental unit. An alpha of 0.05 was used, and the reported measure of dispersion was 1 SD unless otherwise noted.…”
Section: Methodsmentioning
confidence: 99%
“…Models that were assumed to follow a Poisson distribution were evaluated with deviance/df, and models that were assumed to follow a binomial distribution were evaluated with the Hosmer–Lemeshow test. Individual platforms were treated as clusters to account for sampling the same platform multiple times (Nelson ), and platform was the experimental unit. An alpha of 0.05 was used, and the reported measure of dispersion was 1 SD unless otherwise noted.…”
Section: Methodsmentioning
confidence: 99%
“…The probability of postrelease mortality was modeled using mixed-effects logistic regression models (Bolker et al 2009). A random intercept was specified for each gang because fish captured together in space and time were not independent (Nelson 2014). Based on previous field observations, we constructed 26 plausible, a priori candidate models by using combinations of deep-release treatment, gill-net trauma condition, barotrauma condition, fish length, and interactions between length and the other three covariates.…”
Section: Methodsmentioning
confidence: 99%
“…Thus, all crabs collected from an individual platform constituted an individual cluster for population comparisons, and the two density estimates at an individual platform constituted a cluster for comparisons of densities. This prevented falsely inflating the degrees of freedom (i.e., pseudoreplication : Hurlbert 1984) and also accounted for the correlation between crabs or density estimates from the same platform (Nelson 2014). We controlled for nonindependence of density estimates and crabs from the same platform by using random effects in all ANOVA (Laird and Ware 1982) and treating platforms as clusters in the logistic regression (Stiratelli et al 1984;Zeger and Karim 1991) and proportional odds model (Hartzel et al 2001).…”
Section: Stone Crabs On Louisiana's Nearshore Platformsmentioning
confidence: 99%