By Panel to Review the Occupational Information Network (O*NET), National Research Council
Information regarding the features of jobs and the people who fill them is efficacious for occupation counsel, reemployment counseling, crew improvement, human source administration, and different reasons. to satisfy those wishes, the U.S. division of work (DOL) in 1998 introduced the Occupational info community (O*NET), which is composed of a content material model--a framework for organizing occupational data--and an digital database. The O*NET content material version comprises 1000s of descriptors of labor and staff equipped into domain names, reminiscent of talents, wisdom, and paintings actions. facts are amassed utilizing a category approach that organizes task titles into 1,102 occupations. The nationwide heart for O*NET improvement (the O*NET heart) regularly collects facts relating to those occupations. In 2008, DOL asked the nationwide Academies to study O*NET and look at its destiny instructions. In reaction, the current quantity inventories and evaluates the makes use of of O*NET; explores the linkage of O*NET with the traditional Occupational type procedure and different information units; and identifies how you can enhance O*NET, really within the components of cost-effectiveness, potency, and forex.
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Additional info for A Database for a Changing Economy: Review of the Occupational Information Network (O*NET)
Common physical THE CONTENT MODEL 23 characteristics among the organisms, which allow clear separation between groups and subgroups (Meehl and Golden, 1982). In the social sciences, where there are rarely such distinguishing variables, a taxonomy must live with classification variables that are continuous and errors of classification that cannot be reduced to zero? The boundaries between different groups and subgroups of similar occupational characteristics are always blurred, and the clarity of naming and defining different occupational characteristics must always be a function of the rules for minimizing the errors of classification given the alternative ways of describing skills.
The prototype development team turned each of these stages into a separate cross-functional skill in the category of complex problem-solving skills. The team identified these stages as separate skills despite considerable evidence that suggests experts do not go through such stages when solving ill-structured problems. The current O*NET content model does not include these separate skills. For the technical skills category, the team developed the taxonomy of descriptors by examining a sample of 48 job analyses (not identified) and inferring the existence of 12 distinct technical skills that enabled technical performance in them.
For example, when considering how to develop a taxonomy of the abilities required by occupations, previous research provides taxonomies that define abilities in terms of two groups of factors (clusters of more specific abilities), four groups of factors, eight groups of factors, or some greater number (see Carroll, 1993). , knowledge, ability) be a representative sample of all possible descriptors of that requirement, or should it represent the entire universe of descriptors? Previous research-based taxonomies of human abilities (Carroll, 1993) are meant to describe the full range of human abilities, rather than a representative sample.