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RAINFOREST EMPIRICISM AND QUASI‘‐RATIONALITY: TWO APPROACHES TO OBJECTIVE BIODATA
Author(s) -
MAEL FRED A.,
HIRSCH AMY C.
Publication year - 1993
Publication title -
personnel psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.076
H-Index - 142
eISSN - 1744-6570
pISSN - 0031-5826
DOI - 10.1111/j.1744-6570.1993.tb01566.x
Subject(s) - interpretability , psychology , rationality , empiricism , temperament , scale (ratio) , stability (learning theory) , measure (data warehouse) , rating scale , social psychology , artificial intelligence , developmental psychology , epistemology , machine learning , data mining , computer science , personality , philosophy , physics , quantum mechanics
Two approaches to objective biodata, designed to achieve the interpretability and stability of rational approaches, yet minimize socially desirable responding, were explored. The first was a quasi‐rational attempt to derive biodata analogs to an existing temperament measure, and then use them as rational scales. The second was a theory‐based variant of criterion‐referenced keying, termed rainforest empiricism. Both were utilized with two consecutive classes of U.S. Military Academy cadets ( n = 2,565) to predict leadership performance over four rating periods. The biodata analogs to the temperament measure added incremental validity over the Academy's current admissions package and had significantly smaller correlations with a social desirability scale than their equivalent temperament scales. Scales developed with the rainforest approach had higher incremental validities and lower social desirability. Both methods demonstrated satisfactory stability upon cross‐validation, and provided complementary interpretability. Advantages to each approach, and the implications for their use, are discussed.