Quantifying Bimodality Part I: An Easily Implemented Method Using SPSS
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Published
Jan 5, 2002
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B. W. Frankland
Department of Psychology, Dalhousie University
Bruno D. Zumbo
Measurement, Evaluation, & Research Methodology, University of British Columbia
Abstract
Scientists in a variety of fields are faced with the question of whether or not a particular sample of data are best described as unimodal or bimodal. We provide a simple and convenient method for assessing bimodality. The use of the non-linear algorithms in SPSS for modeling complex mixture distributions is demonstrated on a unimodal normal distribution (with 2 free parameters) and on bimodal mixture of two normal distributions (with 5 free parameters).
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