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An algorithm for integrating preference and like–dislike responses to the same test items
Author(s) -
CLOSS S. J.
Publication year - 1978
Publication title -
journal of occupational psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.257
H-Index - 114
eISSN - 2044-8325
pISSN - 0305-8107
DOI - 10.1111/j.2044-8325.1978.tb00409.x
Subject(s) - preference , ranking (information retrieval) , subject (documents) , test (biology) , set (abstract data type) , range (aeronautics) , psychology , simple (philosophy) , interpretation (philosophy) , computer science , algorithm , social psychology , artificial intelligence , cognitive psychology , machine learning , mathematics , statistics , epistemology , paleontology , philosophy , materials science , library science , composite material , biology , programming language
Interest tests often employ forced choice methods in which the subject is asked to state his preferences among a range of items. A major difficulty with the resulting scores is that the absolute strengths of the subject's interests, in terms of liking and disliking, cannot be inferred from the preferences alone. A much fuller picture can be obtained by eliciting from the subject both preference and like‐dislike responses to the test items but this yields two sets of score data which can give rise to difficulties in interpretation. This paper describes a simple algorithm by which such responses can be integrated into a single, readily interpretable, set of scores in the range 0 to 100. The procedure is not confined to interest tests but can be applied to any situation where similar ranking and rating procedures are used in parallel.