Multivariate Methods in Plant Ecology: III. Inverse Association-Analysis

1961 ◽  
Vol 49 (3) ◽  
pp. 717 ◽  
Author(s):  
W. T. Williams ◽  
J. M. Lambert
Bothalia ◽  
1974 ◽  
Vol 11 (3) ◽  
pp. 365-367 ◽  
Author(s):  
B. J. Coetzee

Normal association-analysis was carried out on data collected in the Jack Scott Nature Reserve in the Central Bankenveld of the Transvaal. As the method was found inadequate for obtaining optimal definition and arrangement of plant communities, it was supplemented by the Braun-Blanquet Table Method, which served as a substitute for inverse and nodal analyses. This led to a better understanding of the vegetation of the Reserve. Because association-analysis is strictly hierarchical, presentation of inter-group relationships and interpretation of vegetation-habitat relationships are limited. It is argued that the monothetic character of normal and inverse association-analyses is a further limitation and although this is com­pensated for by nodal-analysis, valuable information is discarded as peripheral in the latter process.


1970 ◽  
Vol 7 (6) ◽  
pp. 1462-1469 ◽  
Author(s):  
G. Vilks ◽  
E. H. Anthony ◽  
W. T. Williams

Counts of species of foraminifera from 75 samples of sediment from East Bay, MacKeazie King Island, in the Canadian Arctic were converted to a matrix of presence–absence data (56 species × 75 stations). These were submitted to both normal and inverse association–analysis as a preliminary test of the application of that multivariate method to problems in marine ecology. The results are compared with observations made at the time the survey was carried out. Although the pattern of sampling was not the most suitable for association–analysis, the results indicate that the method may prove quite informative.


1962 ◽  
Vol 50 (3) ◽  
pp. 775 ◽  
Author(s):  
J. M. Lambert ◽  
W. T. Williams

2006 ◽  
Vol 27 (2) ◽  
pp. 108-115 ◽  
Author(s):  
Ana-Maria Vranceanu ◽  
Linda C. Gallo ◽  
Laura M. Bogart

The present study investigated whether a social information processing bias contributes to the inverse association between trait hostility and perceived social support. A sample of 104 undergraduates (50 men) completed a measure of hostility and rated videotaped interactions in which a speaker disclosed a problem while a listener reacted ambiguously. Results showed that hostile persons rated listeners as less friendly and socially supportive across six conversations, although the nature of the hostility effect varied by sex, target rated, and manner in which support was assessed. Hostility and target interactively impacted ratings of support and affiliation only for men. At least in part, a social information processing bias could contribute to hostile persons' perceptions of their social networks.


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