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L Rothschild

Publications and source records attributed to L Rothschild.

7 recordsLinked to original sources
PubMed2001

Visual search: efficiency continuum or distinct processes?

Whether visual search involves two distinct processes--traditionally referred to as serial and parallel--or a single process operating on a continuum of efficiency or speed, is an issue with a long history in the study of attention. On the basis of the unimodality of search slope distributions in a very large data set, Wolfe (1998) argued for a continuum model. Reanalysis of this data set using statistical procedures more appropriate for adjudicating between continuous and discontinuous models supports the existence of two distinct processes.

Algorithms↗
PubMed2000

Essentialist beliefs about social categories.

This study examines beliefs about the ontological status of social categories, asking whether their members are understood to share fixed, inhering essences or natures. Forty social categories were rated on nine elements of essentialism. These elements formed two independent dimensions, representing the degrees to which categories are understood as natural kinds and as coherent entities with inhering cores ('entitativity' or reification), respectively. Reification was negatively associated with categories' evaluative status, especially among those categories understood to be natural kinds. Essentialism is not a unitary syndrome of social beliefs, and is not monolithically associated with devaluation and prejudice, but it illuminates several aspects of social categorization.

Adult↗
PubMed2000

Detecting latent taxa: Monte Carlo comparison of taxometric, mixture model, and clustering procedures.

A Monte Carlo evaluation of four procedures for detecting taxonicity was conducted using artificial data sets that were either taxonic or nontaxonic. The data sets were analyzed using two of Meehl's taxometric procedures, MAXCOV and MAMBAC, Ward's method for cluster analysis in concert with the cubic clustering criterion and a latent variable mixture modeling technique. Performance of the taxometric procedures and latent variable mixture modeling were clearly superior to that of cluster analysis in detecting taxonicity. Applied researchers are urged to select from the better procedures and to perform consistency tests.

Cluster Analysis↗