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Embretson, Susan E.

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Now showing 1 - 3 of 3
  • Item
    The Implications of Processing Event Sequences for Theories of Analogical Reasoning
    (Georgia Institute of Technology, 1979-01-01) Embretson, Susan E. ; Barnes, G. Michael
    Sternberg (1977a, 1977b) has proposed a componential theory of information processing on analogies. The current study attempts convergent validation of the basic findings in verbal analogies by a method that is based on different underlying assumptions. Although the data were generally consistent with Sternberg's theory, the data indicated that application is better described by two separate events. Furthermore, the extent of individual differences in strategy models was so substantial that a higher level processing operation, such as control strategies, should be postulated, rather than to support a single-strategy model as characterizing analogy solving.
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    Models, Meanings and Misunderstandings: Some Issues in Applying Rasch's Theory
    (Georgia Institute of Technology, 1977) Embretson, Susan E.
    Wright (1977) shows that a debate is developing between those who strongly advocate use of the Rasch model and those who have certain reservations about the extent to which the model meets some traditional concerns in trait measurement. In an earlier article, Whitely and Dawis (1974) presented the Rasch model in the context of least squares estimation, and noted some features that may limit the utility of the model in test development. Wright (1977) questions several of the specific interpretations and conclusions that were given in the earlier article. The current article is a response to those questions.
  • Item
    The Nature of Objectivity with the Rasch Model
    (Georgia Institute of Technology, 1974) Embretson, Susan E. ; Dawis, René V.
    Although it has been claimed that the Rasch model leads to a higher degree of objectivity in measurement than has been previously possible, this model has had little impact on test development. Population-invariant item and ability calibrations, together with the statistical equivalency of any two item subsets, are supposedly possible if the item pool has been calibrated by the Rasch model. Initial research has been encouraging, but the implications of underlying assumptions and operational computations in the Rasch model for trait theory have not been clear from previous work. The current paper presents an analysis of the conditions under which the claims of objectivity will be substantiated, with special emphasis on the nature of equivalent forms. It is concluded that the real advantages of the Rasch model will not be apparent until the technology of trait measurement becomes more sophisticated.