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

1961 ◽  
Vol 49 (3) ◽  
pp. 717 ◽  
Author(s):  
W. T. Williams ◽  
J. M. Lambert
Keyword(s):  
Association Analysis ◽  
Plant Ecology ◽  
Multivariate Methods ◽  
Inverse Association

Improvement of association-analysis classification by Braun-Blanquet technique

Bothalia ◽  
1974 ◽  
Vol 11 (3) ◽  
pp. 365-367 ◽  
Author(s):  
B. J. Coetzee
Keyword(s):  
Association Analysis ◽  
Plant Communities ◽  
Nature Reserve ◽  
Inverse Association ◽  
Nodal Analysis ◽  
Association Analyses ◽  
Table Method ◽  
Group Relationships

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.

Application of association–analysis to distribution studies of Recent Foraminifera

1970 ◽  
Vol 7 (6) ◽  
pp. 1462-1469 ◽  
Author(s):  
G. Vilks ◽  
E. H. Anthony ◽  
W. T. Williams
Keyword(s):  
Association Analysis ◽  
Canadian Arctic ◽  
Preliminary Test ◽  
Marine Ecology ◽  
Inverse Association ◽  
Multivariate Method ◽  
East Bay ◽  
Distribution Studies

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.

Multivariate Methods in Plant Ecology: IV. Nodal Analysis

1962 ◽  
Vol 50 (3) ◽  
pp. 775 ◽  
Author(s):  
J. M. Lambert ◽  
W. T. Williams
Keyword(s):  
Plant Ecology ◽  
Multivariate Methods ◽  
Nodal Analysis

Hostility and Perceptions of Support in Ambiguous Social Interactions

2006 ◽  
Vol 27 (2) ◽  
pp. 108-115 ◽  
Author(s):  
Ana-Maria Vranceanu ◽  
Linda C. Gallo ◽  
Laura M. Bogart
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Information Processing ◽  
Social Interactions ◽  
Social Information Processing ◽  
Perceived Social Support ◽  
Social Information ◽  
Inverse Association ◽  
Processing Bias ◽  
Information Processing Bias

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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