Sentence examples for preference class from inspiring English sources

Respondents' characteristics that affect the probability of belonging to a latent preference class are environmental behaviour and attitude, actual living environment, age class, education level, and organisation membership.

These naturally account for preference class membership and 'net out' differences in scale.

Of these, only health status and education level were found to be associated with preference class in secondary latent class analyses (see online supplementary material).

Multivariable logistic regression produced no associations between any of the sociodemographic variables and preference class at the 5% level, and only income was associated with scale class (results not shown).

Notably, respondents who were not overweight or obese, who had no experience of weight loss surgery, or with better overall health were more likely to belong to a preference class for whom lifestyle commitment was considered to be particularly important.

The estimated SALC models used the five sums of squares variables (one for each attribute) from the cluster analyses in Appendix 2 (Supporting Information) as predictors of preference class membership and the Empirical Scale Parameter as a predictor of scale class.

Mutations between codon preference classes were classified as unpreferred to preferred (P → U) or preferred to unpreferred (P → U) depending on the state of the ancestral and derived codons.

Summarizing the results, estimation indicates four distinct preference classes.

The effect of care and disturbance on landscape aesthetic preference also most significantly distinguishes between the latent preference classes.

This paper aims to identify preference classes for landscape preservation in the Ibleo, a rural and beautiful part of Sicily.

Latent preference classes are identified of which the cases vary in the level of importance attached to landscape characteristics for aesthetic preference.