GVU Technical Report Number:
GIT-GVU-92-07
Title:
Aggregation Bias and the Use of Regression in Evaluating Models of Human
Performance
Authors:
Neff Walker
Richard Catrambone
Abstract:
Regression analysis is increasingly being used to provide confirmatory
evidence for models of human performance. The amount of information made
available to judge these models is reduced because clearly established
standards in the techniques of performing and reporting regression
analysis is lacking. This paper addresses two primary problems in
regression analysis: (1) aggregation of data and (2) the aggregation of
variables into composite models. The paper provides examples of the
misuse of regression techniques and recommends ways that the amount of
information made available to evaluate the model being tested can be
maximized in analysis and reporting.
Keywords:
Regression, performance models, aggregation bias
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