Sentence examples for knowledge traits from inspiring English sources
Another limitation is that the survey forced the respondents to identify their priorities within each of the skills, knowledge, traits and motives categories; while a set of competencies from all of these areas was identified, further study is required to rank the importance among the identified skills, knowledge, traits and motives.
Management competencies, the basis for healthcare management education, are generally considered to comprise skills, knowledge, traits (including attitudes) and motives (including values)[ 22, 23], and therefore these four categories formed the basis for the model.
The respondents were requested to identify from the list in Figure 1 the skills, knowledge, traits and motives that the most effective team members demonstrated and that they had observed to enhance team performance.
Three motives received the highest ranking of all the skills, knowledge, traits and motives; commitment to working collaboratively (64.1%), commitment to a quality outcome (69.2%) and commitment to organization (64.6%).
The coding categories for 'person schemas' were based on the theoretical framework proposed by Klimoski and Donahue (2001), describing five common types of inference processes in judgment tasks: inferences regarding knowledge, traits, dispositions (probable patterns of behaviour), intentions (immediate goals) and social category membership.
To our knowledge, no traits have been fine-mapped in pearl millet.
From an OM perspective, this dimension was conceptualized as 'the alignment and management of skills, information, knowledge, expertise, traits, and motives of employees to execute and improve patient care processes'.
In most conservation situations, genomic knowledge about traits (loci involved, additive genetic (co variances, genetic correlations and genetic architecture) will be limited, and/or the predictability of environmental change and the required adaptive response(s) will be low.
Adults emerging from such manipulations are viable, show trait reduction and can be subjected to tests of performance guided by the preestablished basic knowledge of trait function (see example below).
Second, knowledge of trait costs and benefits offers the most promising path to understanding how vegetation properties change along physical geography gradients.
While recent work suggests [15], [16] that genus-level attributes can contribute to success in naturalization and subsequent abundance, knowledge of trait patterns is lacking at this level, where biological specificity remains considerable and the scope for regulatory generalization is maximal.
