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Unfolding Model (unfolding + model)
Selected AbstractsAn application of the unfolding model to explain turnover in a sample of military officersHUMAN RESOURCE MANAGEMENT, Issue 1 2007Daniel T. Holt Questionnaire data from 182Air Force officers who had voluntarily separated from the service were used to test Lee and Mitchell's (1994) unfolding model of voluntary turnover. Specifically, Lee and Mitchell predict five distinct paths to voluntary turnover, explaining the sequence of deliberate and impulsive decisions individuals make as they choose to leave organizations, where individuals interpret an organizational event, assess their relation to the workplace, evaluate options, and enact a response. Results indicate that 47% of the participants followed those five paths. Model modifications were made that reflect the unique nature of military service where members have preexisting plans to leave the service after a defined period or event. These modifications capture an additional 36% to explain 83% of the turnover decisions. The implications of these findings are addressed. ©2007 Wiley Periodicals, Inc. [source] An extension of Lee and Mitchell's unfolding model of voluntary turnoverJOURNAL OF ORGANIZATIONAL BEHAVIOR, Issue 1 2006David P. Donnelly Lee and Mitchell (1994) proposed a decision process-based voluntary turnover model, which identifies the psychological processes involved in the decision to quit a job. The current study tests and extends the Lee and Mitchell's (1994) unfolding model of voluntary turnover using a sample of voluntary ,quitters' and ,stayers'. Survey and interview results from 84 practicing accountants suggest that the Lee and Mitchell's (1994) model does an excellent job of capturing employee decision process-data in an accounting environment. Additional extension hypotheses pertaining to economic consequences and gender differences are also proposed and subsequently supported. Copyright © 2006 John Wiley & Sons, Ltd. [source] A THURSTONE-COOMBS MODEL OF CONCURRENT RATINGS WITH SENSORY AND LIKING DIMENSIONSJOURNAL OF SENSORY STUDIES, Issue 1 2002F. GREGORY ASHBY ABSTRACT A popular product testing procedure is to obtain sensory intensity and liking ratings from the same consumers. Consumers are instructed to attend to the sensory attribute, such as sweetness, when generating their liking response. We propose a new model of this concurrent ratings task that conjoins a unidimensional Thurstonian model of the ratings on the sensory dimension with a probabilistic version of Coombs' (1964) unfolding model for the liking dimension. The model assumes that the sensory characteristic of the product has a normal distribution over consumers. An individual consumer selects a sensory rating by comparing the perceived value on the sensory dimension to a set of criteria that partitions the axis into intervals. Each value on the rating scale is associated with a unique interval. To rate liking, the consumer imagines an ideal product, then computes the discrepancy or distance between the product as perceived by the consumer and this imagined ideal. A set of criteria are constructed on this discrepancy dimension that partition the axis into intervals. Each interval is associated with a unique liking rating. The ideal product is assumed to have a univariate normal distribution over consumers on the sensory attribute evaluated. The model is shown to account for 94.2% of the variance in a set of sample data and to fit this data significantly better than a bivariate normal model of the data (concurrent ratings, Thurstonian scaling, Coombs' unfolding model, sensory and liking ratings). [source] | ||||||||||