Latent profile analysis in health research: a case study

被引：0

作者：

Marilena, Ianculescu ^{[1
]}

Alexandru, Balog ^{[1
]}

Irina, Cristescu ^{[1
]}

Dragos-Daniel, Iordache ^{[1
]}

Lidia, Bajenaru ^{[1
]}

机构：

[1] Natl Inst Res & Dev Informat, Syst & Applicat Soc, Bucharest, Romania

来源：

2019 22ND INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE (CSCS) | 2019年

关键词：

e-health; PROMIS scale; person-centered approach; latent profile analysis; Mplus; OUTCOMES MEASUREMENT;

D O I：

10.1109/CSCS.2019.00117

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In recent years, quantitative methods and psychometric analyses have been an integral component in the process of developing and evaluating health measurement instruments. The objective of the present study is to demonstrate the potential and usefulness of the person-centered approach in the field of e-health by identifying groups of patients with similar characteristics. Based on a sample of data and using latent profile analysis (LPA) in Mplus 7.4, four profiles (groups) that differ between themselves both quantitatively (level) and qualitative (shape) were identified. A one-way multivariate analysis of variance (MANOVA) showed that there are significant differences between the four profiles.

引用

页码：649 / 654

页数：6

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