When the catches in the components (cod-end and cover, say) of experim
ental trawl selectivity gear are sampled then the length-class frequen
cies of the catches can be estimated by multiplying the frequencies in
the samples by the inverse of the sampling fractions. The statistical
properties of selection curves fitted to these estimated catch freque
ncies are unknown, and consequently goodness of fit cannot be checked
and trawl selectivity studies cannot be designed. It is shown that a s
tatistically well-behaved procedure is obtained by working directly wi
th the raw data whereby the estimated selection curve is obtained from
the fitting of a related curve to these raw data. For covered cod-end
trials in which a logistic selection curve is assumed the related cur
ve is also logistic and no modifications to existing software are requ
ired. This facilitated an investigation of the efficiency of three dif
ferent sampling strategies: to sample from same number of fish; or (3)
the same fraction of fish. Strategy (1) was found to be the least eff
icient. Strategies (2) and (3) had similar performance, with strategy
(2) slightly better overall.