sampling bias


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sampling bias

systematic error due to study of a nonrandom sample of a population.

sam·pling bi·as

(sam'pling bī'ăs)
Systematic error due to study of a nonrandom sample of a population.
References in periodicals archive ?
If these methods can be further developed to incorporate representativeness uncertainty--essentially, a prior distribution on the size of the sampling pool to account for the fact that some parts of the phylogeny will be oversampled while others will be undersampled--then this type of Bayesian analysis could serve as a powerful auxiliary tool in phylogeography, enabling us to determine whether sampling bias has a larger effect in some regions than others.
Additionally, sampling bias exists for larger males and for smaller males and females; smaller crabs are less likely to enter traps when large males are present (Taggart et al.
Due to the sampling bias, the more negative aspects of residential care are compared with the positive aspects of foster care--the beneficial elements of residential care and disadvantageous aspects of foster care are somewhat overlooked.
05 level suggests that the chances that the means are different due to chance or sampling bias is less than 5%.
A group of outside activists and gay psychiatrists and psychologists presented the Committee with arguments made by Evelyn Hooker and Alfred Kinsey that homosexuality was not associated with psychopathology and that all other studies on homosexuality were intrinsically flawed, because of sampling bias.
The highest lying orbital is largely located on the styrene molecules closest to the negative charge and becomes the gateway to electron conduction when the sampling bias is small.
Usually, textbooks or papers about the research methodology would recommend probabilistic sampling methods in order to reduce sampling bias or errors.
Diagnostic sampling bias occurs when there are significant differences between a particular diagnostic sample and the population it is taken to represent (Garb, 1998; Gilovich, 1991).
The classic example of sampling bias that caused an unreliable result occurred during the 1948 presidential election.
Normal shrinkage of the soil had not commenced when it was sampled in the field at the plastic limit, thus avoiding the risk of sampling bias caused by shrinkage cracks.
Ohlson (1980) extended Altman's methodology three ways: (1) he used multivariate logit analysis to determine probabilistic estimates of failure instead of a simple deterministic classification of a firm as bankrupt or nonbankrupt; (2) he collected a larger, and more representative, sample of 105 bankrupt firms and 2,058 nonbankrupt firms; and (3) he only included firms with published financial data released prior to the announcement of bankruptcy to reduce the amount of sampling bias.
Drift fence-associated sampling bias of amphibians at a Florida sandhills temporary pond.