Summary and Info
This book provides alternatives to current methods - alternatives that stay much closer to the original data. Thus, the book's approach can be looked on as a turn to simple empiricism in psychological measurement. Since the empiricism is based on ordinal rather than interval scale concepts, so it is more realistic than current approaches or older ones, such as classical test theory. Behavioral data is inherently noisy, so the authors emphasize providing summary scores and information on the relative amount of noise there is in the data, rather than imposing a parametric model on it.
More About the Author
Norman Cliff received his Ph.D. from Princeton in psychometrics in 1957. After research positions in the US Public Health Service and at Educational Testing Service he joined the University of Southern California in 1962. He has had a number of research interests, including quantification of cognitive processes, scaling and measurement theory, computer-interactive psychological measurement, multivariate statistics, and ordinal methods.
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