PubMed Health⌕ Search

PubMed · 10544429

A composite Gestalt completion test.

Abstract

Most existing Gestalt completion tests contain items which have content recognizable 50 years ago but now are difficult for subjects to recognize. Four well-known Gestalt completion tests were examined and a composite test of the more familiar items among the tests was compiled and then administered to university students. The Cronbach alpha for the 21 selected items was .82. Exploratory factor analyses yielded a general factor and more specific factors, supporting the contention that alternative processes or structural characteristics described in the Gestalt completion literature may account for the common and unique variances found among Gestalt completion items.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

J Eliot, M Czarnolewski. 1999. A composite Gestalt completion test.. https://doi.org/10.2466/pms.1999.89.1.294

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

A factorial analysis of silanization conditions for the immobilization of oligonucleotides on glass surfaces.

The modification of glass surfaces with (3-mercaptopropyl)trimethoxysilane and the application of this to DNA chip technology are described. A range of factors influencing the silanization method, and hence the number of surface-bound, chemically active thiol groups, were investigated using a design of experiment approach based on analysis of variance. The number of thiol groups introduced on glass substrates were measured directly using a specific radiolabel, [14C]cysteamine hydrochloride. For liquid-phase silanization, the number of surface-bound thiol groups was found to be dependent on both postsilanization thermal curing and silanization time and relatively independent of silane concentration, reaction temperature, and sample pretreatment. Depending on the conditions used in liquid-phase silanization, (1.3-9.0) x 10(12) thiol groups/cm2 on the glass samples were bound. The reliability and repeatability of liquid- and vacuum-phase silanization were also investigated. Eighteen-base oligonucleotide probes were covalently attached to the modified surfaces via a 3'-amino modification on the DNA and subsequent reaction with the cross-linking reagent N-(gamma-maleimidobutyryloxy) succinimide ester (GMBS). The resulting probe levels were determined and found to be stoichiometric with that of the introduced thiol groups. These results demonstrate that silanization of glass surfaces under specific conditions, prior to probe attachment, is of great importance in the development of DNA chips that use the simple concept of the covalent attachment of presynthesized oligonucleotides to silicon oxide surfaces.

Factor Analysis, Statistical↗

Factor analytical study on water quality in Lake Saimaa, Finland.

Multivariate data analysis methods (4-way Candecomp-PARAFAC model solved with Multilinear Engine (ME-1)) were used to interpret the data of over two decades to study the changes in the water of Lake Saimaa in Finland. Earlier studies have shown that it is difficult to extract the natural background from the other sources of variation. By using the multilinear model three interpretable factors representing natural and anthropogenic processes could be extracted. The natural long-term variation, seasonal fluctuation and dilution of discharges in the recipient area could be extracted into their own factors, which could be easily visualized. The variation could be also presented with estimated variation in the water quality parameters caused by each of these natural or anthropogenic processes.

Factor Analysis, Statistical↗

Risk based characterisation of contaminated industrial site using multivariate and geostatistical tools.

Human and ecological risk assessment requires the sources, distribution, mobility and environmental behaviour of contaminants to be investigated on a site-specific basis. It often deals with data sets which are relatively small and affected by sampling gaps. In the case of a polycyclic aromatic hydrocarbon (PAH) contaminated industrial site, Kriging interpolation of spatial data and principal component analysis (PCA) proved useful for extracting additional value from the data set. Kriging was adopted for assessing the horizontal and vertical distribution and transport of PAHs in soil. PCA was applied to PAH concentration and relative abundance in soil samples and interpreted on the basis of the PAH physico-chemical and bio-degradation properties. It revealed correlation with the products of a neighbouring factory and the weathering of the lighter PAHs. The geo- and multivariate statistical results were coupled with the previous hydrogeological characterisation of the site to develop a site-conceptual model for use in the exposure scenario modelling for risk assessment.

Factor Analysis, Statistical↗