Longitudinal K-sets analysis using lagged variables.

Catrien C. J. H. Bijleveld; Eeke Van der Burg

Qüestiió (1993)

  • Volume: 17, Issue: 3, page 327-338
  • ISSN: 0210-8054

Abstract

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We present an application of nonlinear Generalised Canonical Analysis (GCA) for analysing longitudinal data. The application uses lagged versions of variables to accomodate the time-dependence in the measurements. The usefulness of the proposed method is illustrated in an example from developmental psychology, in which we explore the relationship between mother and child dyadic interaction during the first six months after birth, demonstrating how child behaviour can elicit mother behaviour. We discuss the relationship between our proposed method and the most closely resembling SERIALS (Van Buuren, 1990) method for nonlinear time series analysis.

How to cite

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Bijleveld, Catrien C. J. H., and Van der Burg, Eeke. "Longitudinal K-sets analysis using lagged variables.." Qüestiió 17.3 (1993): 327-338. <http://eudml.org/doc/40094>.

@article{Bijleveld1993,
abstract = {We present an application of nonlinear Generalised Canonical Analysis (GCA) for analysing longitudinal data. The application uses lagged versions of variables to accomodate the time-dependence in the measurements. The usefulness of the proposed method is illustrated in an example from developmental psychology, in which we explore the relationship between mother and child dyadic interaction during the first six months after birth, demonstrating how child behaviour can elicit mother behaviour. We discuss the relationship between our proposed method and the most closely resembling SERIALS (Van Buuren, 1990) method for nonlinear time series analysis.},
author = {Bijleveld, Catrien C. J. H., Van der Burg, Eeke},
journal = {Qüestiió},
keywords = {generalized canonical analysis; optimal scaling; lagged variables; developmental research},
language = {eng},
number = {3},
pages = {327-338},
title = {Longitudinal K-sets analysis using lagged variables.},
url = {http://eudml.org/doc/40094},
volume = {17},
year = {1993},
}

TY - JOUR
AU - Bijleveld, Catrien C. J. H.
AU - Van der Burg, Eeke
TI - Longitudinal K-sets analysis using lagged variables.
JO - Qüestiió
PY - 1993
VL - 17
IS - 3
SP - 327
EP - 338
AB - We present an application of nonlinear Generalised Canonical Analysis (GCA) for analysing longitudinal data. The application uses lagged versions of variables to accomodate the time-dependence in the measurements. The usefulness of the proposed method is illustrated in an example from developmental psychology, in which we explore the relationship between mother and child dyadic interaction during the first six months after birth, demonstrating how child behaviour can elicit mother behaviour. We discuss the relationship between our proposed method and the most closely resembling SERIALS (Van Buuren, 1990) method for nonlinear time series analysis.
LA - eng
KW - generalized canonical analysis; optimal scaling; lagged variables; developmental research
UR - http://eudml.org/doc/40094
ER -

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