Universal Journal of Educational Research Vol. 3(6), pp. 402 - 406
DOI: 10.13189/ujer.2015.030608
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Inferences of Coordinates in Multidimensional Scaling by a Bootstrapping Procedure in R

Donghoh Kim ^1,*, Se-Kang Kim ², Soyeon Park ^3
1 Department of Applied Mathematics, Sejong University, Korea
² Department of Psychology, Fordham University, United States
³ Department of Child and Adolescent Development, San Francisco State University, United States

ABSTRACT

Recently, MDS has been utilized to identify and evaluate cognitive ability latent profiles in a population. However, dimension coordinates do not carry any statistical properties. To cope with statistical incompetence of MDS, we investigated the common aspects of various studies utilizing bootstrapping, and provided an R function for its implementation.

KEYWORDS
Cognitive Ability Test, Multidimensional Scaling (MDS), Bootstrap Empirical Distribution, Confidence Intervals, Latent Profile

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Donghoh Kim , Se-Kang Kim , Soyeon Park , "Inferences of Coordinates in Multidimensional Scaling by a Bootstrapping Procedure in R," Universal Journal of Educational Research, Vol. 3, No. 6, pp. 402 - 406, 2015. DOI: 10.13189/ujer.2015.030608.

(b). APA Format:
Donghoh Kim , Se-Kang Kim , Soyeon Park (2015). Inferences of Coordinates in Multidimensional Scaling by a Bootstrapping Procedure in R. Universal Journal of Educational Research, 3(6), 402 - 406. DOI: 10.13189/ujer.2015.030608.