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Measurement bias detection with Kronecker product restricted models for multivariate longitudinal data: an illustration with health-related quality of life data from thirteen measurement occasions

Overview of attention for article published in Frontiers in Psychology, September 2014
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Title
Measurement bias detection with Kronecker product restricted models for multivariate longitudinal data: an illustration with health-related quality of life data from thirteen measurement occasions
Published in
Frontiers in Psychology, September 2014
DOI 10.3389/fpsyg.2014.01022
Pubmed ID
Authors

Mathilde G. E. Verdam, Frans J. Oort

Abstract

Application of Kronecker product to construct parsimonious structural equation models for multivariate longitudinal data.A method for the investigation of measurement bias with Kronecker product restricted models.Application of these methods to health-related quality of life data from bone metastasis patients, collected at 13 consecutive measurement occasions.The use of curves to facilitate substantive interpretation of apparent measurement bias.Assessment of change in common factor means, after accounting for apparent measurement bias.Longitudinal measurement invariance is usually investigated with a longitudinal factor model (LFM). However, with multiple measurement occasions, the number of parameters to be estimated increases with a multiple of the number of measurement occasions. To guard against too low ratios of numbers of subjects and numbers of parameters, we can use Kronecker product restrictions to model the multivariate longitudinal structure of the data. These restrictions can be imposed on all parameter matrices, including measurement invariance restrictions on factor loadings and intercepts. The resulting models are parsimonious and have attractive interpretation, but require different methods for the investigation of measurement bias. Specifically, additional parameter matrices are introduced to accommodate possible violations of measurement invariance. These additional matrices consist of measurement bias parameters that are either fixed at zero or free to be estimated. In cases of measurement bias, it is also possible to model the bias over time, e.g., with linear or non-linear curves. Measurement bias detection with Kronecker product restricted models will be illustrated with multivariate longitudinal data from 682 bone metastasis patients whose health-related quality of life (HRQL) was measured at 13 consecutive weeks.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Student > Bachelor 1 13%
Researcher 1 13%
Lecturer > Senior Lecturer 1 13%
Unknown 2 25%
Readers by discipline Count As %
Mathematics 1 13%
Business, Management and Accounting 1 13%
Immunology and Microbiology 1 13%
Economics, Econometrics and Finance 1 13%
Psychology 1 13%
Other 2 25%
Unknown 1 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 September 2014.
All research outputs
#18,379,018
of 22,764,165 outputs
Outputs from Frontiers in Psychology
#22,042
of 29,677 outputs
Outputs of similar age
#179,735
of 251,975 outputs
Outputs of similar age from Frontiers in Psychology
#324
of 367 outputs
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