Comparing hierarchical and nonhierarchical weighting methods for eliciting multiattribute value models

Article Abstract:

Three energy options are compared by means of a value tree that relates general values and concerns to certain value-relevant attributes: coal, nuclear, and a package combining geothermal and conservation measures. Judgements on the relative significance of the tree attributes are provided by 37 non-expert subjects. Three basic experiment findings are: (1) hierarchical weights are more steep than nonhierarchical weights, (2) groups that show a different response for holistic first choices nonetheless show significant agreement in assessing attribute weights, and (3) attribute level ratings concerning the relative desirability of energy options are consistent across groups, but there is a tendency for each group to favor its holistic first choice.

Analysis, Mathematical models, Power resources, Management research, Value (Economics)

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Eliciting public values for complex policy decisions

Article Abstract:

Two public value forums were held with West German citizens to determine the feasibility of value forums, the differences between formally and informally elicited values, and the advantages and disadvantages of using value forums to develop long-range energy policies. The results indicated that public value forums were feasible. There were considerable differences between formally and informally elicited values, but these differences were resolved. Public value forums were useful in developing policies, but the expense and time involved in conducting such forums indicated that small groups of opinion leaders and stakeholder representatives, rather than the general public, should participate in public value forums.

Research, Management, Energy policy, Forums (Discussion and debate), Policy sciences

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The effects of splitting attributes on weights in multivariate utility measurement

Article Abstract:

Weights in a utility measurement system with multiple characteristics such as job choices or job satisfaction vary when they are broken down into more specific components. Subjects were asked to evaluate weighted characteristics in a three-attribute, hierarchical system called a value tree, each enhanced with three more additional values. The subjects consistently valued the more complicated attributes with additional qualifiers. This bias for overweighted attributes held true for several evaluative techniques. Techniques employing holistic judgements were somewhat less affected than techniques using decomposed attribute weights. The increased relevance and availability of attributes may explain this bias.

Measurement, Career development, Job satisfaction, Psychometrics, Job evaluation

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