STATISTICAL VECTOR FIELD ANALYSIS APPLIED TO MIXED CROSS-SECTIONAL AND LONGITUDINAL DATA

被引:30
作者
BOKER, SM
MCARDLE, JJ
机构
[1] University of Virginia, Charlottesville, VA
关键词
D O I
10.1080/03610739508254269
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Combined cross-sectional and longitudinal data often present complex patterns of change. Growth functions representing the change in some measure as a function of chronological age can be a function of initial values of the measurement. Individual differences in developmental age with respect to chronological age fend to distort attempts to fit a single growth curve through combined cross-sectional and longitudinal data. We present a method by which these data can be visualized along with several examples from a data set comprising measurements of intellectual abilities with respect to aging, We call this new method a statistical vector field (svf) plot. An svf plot simultaneously allows the visualization of cross-sectional information summarizing sampling densities and longitudinal information summarizing how individuals at each particular age and ability are likely to change over rime. The C source code for the svf software described in this paper may be obtained free from the University of Virginia anonymous ftp archive sewer (ftp.Virginia.EDU), or-from the authors.
引用
收藏
页码:77 / 93
页数:17
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