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A comparison of simple score and latent class approaches: Application to HIV knowledge data in Chinese and multi-country contexts

A comparison of simple score and latent class approaches: Application to HIV knowledge data in Chinese and multi-country contexts
A comparison of simple score and latent class approaches: Application to HIV knowledge data in Chinese and multi-country contexts
Knowledge about different health-related attitudes, beliefs, and risks is of significant interest to scholars in different Social Science disciplines. Usually knowledge is collected in a form of multiple variables and then constructed as a composite indicator. The question any researcher working with knowledge-related variables faces is: what is the best way to measure and summarise different dimensions of health-related knowledge? The main goal of this paper is to evaluate and compare simple score and latent class approaches to measuring and summarising health-related knowledge using population data on HIV knowledge collected in five selected countries (China, India, Kenya, Malawi, and Ukraine). The advantages and shortcomings of both approaches (simple score and latent class approaches) to measuring and summarising health-related knowledge are evaluated and discussed.
1364-5579
243-261
Maslovskaya, Olga
9c979052-e9d7-4400-a657-38f1f9cd74d0
Smith, Peter W.F.
961a01a3-bf4c-43ca-9599-5be4fd5d3940
Padmadas, Sabu
64b6ab89-152b-48a3-838b-e9167964b508
Maslovskaya, Olga
9c979052-e9d7-4400-a657-38f1f9cd74d0
Smith, Peter W.F.
961a01a3-bf4c-43ca-9599-5be4fd5d3940
Padmadas, Sabu
64b6ab89-152b-48a3-838b-e9167964b508

Maslovskaya, Olga, Smith, Peter W.F. and Padmadas, Sabu (2017) A comparison of simple score and latent class approaches: Application to HIV knowledge data in Chinese and multi-country contexts. International Journal of Social Research Methodology, 21 (2), 243-261. (doi:10.1080/13645579.2017.1367555).

Record type: Article

Abstract

Knowledge about different health-related attitudes, beliefs, and risks is of significant interest to scholars in different Social Science disciplines. Usually knowledge is collected in a form of multiple variables and then constructed as a composite indicator. The question any researcher working with knowledge-related variables faces is: what is the best way to measure and summarise different dimensions of health-related knowledge? The main goal of this paper is to evaluate and compare simple score and latent class approaches to measuring and summarising health-related knowledge using population data on HIV knowledge collected in five selected countries (China, India, Kenya, Malawi, and Ukraine). The advantages and shortcomings of both approaches (simple score and latent class approaches) to measuring and summarising health-related knowledge are evaluated and discussed.

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Accepted/In Press date: 10 August 2017
e-pub ahead of print date: 7 September 2017

Identifiers

Local EPrints ID: 413846
URI: http://eprints.soton.ac.uk/id/eprint/413846
ISSN: 1364-5579
PURE UUID: be0d75d1-95f2-4ee4-974e-2d032105e7f4
ORCID for Olga Maslovskaya: ORCID iD orcid.org/0000-0003-3814-810X
ORCID for Peter W.F. Smith: ORCID iD orcid.org/0000-0003-4423-5410
ORCID for Sabu Padmadas: ORCID iD orcid.org/0000-0002-6538-9374

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Date deposited: 07 Sep 2017 16:33
Last modified: 30 Jul 2019 00:35

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