Contraceptive choice among teenagers: A multivariate analysis

Lifestyles ◽  
1991 ◽  
Vol 12 (2) ◽  
pp. 171-194 ◽  
Author(s):  
James Reschovsky ◽  
Jennifer Gerner
1982 ◽  
Vol 3 (3) ◽  
pp. 341-360 ◽  
Author(s):  
MARGARET PRUITT CLARK ◽  
GRAY SWICEGOOD

The increasing popularity of sterilization as a contraceptive choice among married couples underscores the need for knowledge about differences between couples choosing male and female procedures. Data from national surveys suggest some sociodemographic differences, but these variables account for only a small amount of the variance. This research looks at other sets of variables—specifically, information sources, influence sources, and reasons husbands and wives give for wanting sterilization—in a multivariate analysis of the choice of a male versus a female operation. Particularly for husbands obtaining a vasectomy, the importance of social support is demonstrated.


1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.


2005 ◽  
Vol 173 (4S) ◽  
pp. 303-303
Author(s):  
Diana Wiessner ◽  
Rainer J. Litz ◽  
Axel R. Heller ◽  
Mitko Georgiev ◽  
Oliver W. Hakenberg ◽  
...  

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