Factorial structure of the Health of the Nation Outcome Scales: An ordinal confirmatory factor analysis using a national sample of clinician ratings in England

Barry Speak, Steven Muncer

Research output: Contribution to journalArticleResearchpeer-review

Abstract

In the present study, the superior factorial structure of the Health of the Nation Outcome Scales (HoNOS) was investigated. The aims of the study were to test the fit of our new four-factor/subscale structure within and across a wide range of clinical populations compared to competing structures, and to identify any clinical populations where the HoNOS might require modification in order to improve its psychometric properties. Ordinal confirmatory factor analysis was performed for four competing HoNOS subscale structures using a national sample of 80,161 ratings taken at the point of referral to mental health services in England. A new four-factor structure with good/acceptable internal consistency for each of the factors/subscales demonstrated a significantly better fit to the data for 21 of the 24 data groups compared to three competing subscale models. A new four-factor/subscale structure was shown to be the most generalizable subscale structure currently available for HoNOS. However, although superior to other factorial structures, the statistical fit was less than optimal for some clinical populations. Therefore, we would recommend that additional items relevant to all mental health patients are identified and added to the HoNOS in order to allow the development of a single, more generalizable subscale structure, and a much improved version of the HoNOS.
Original languageEnglish
Pages (from-to)-
JournalInternational Journal of Mental Health Nursing
Volume25
Issue number1
DOIs
Publication statusPublished - 13 Jan 2016

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England
Statistical Factor Analysis
Health
Population
Mentally Ill Persons
Mental Health Services
Psychometrics
Mental Health
Referral and Consultation

Cite this

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title = "Factorial structure of the Health of the Nation Outcome Scales: An ordinal confirmatory factor analysis using a national sample of clinician ratings in England",
abstract = "In the present study, the superior factorial structure of the Health of the Nation Outcome Scales (HoNOS) was investigated. The aims of the study were to test the fit of our new four-factor/subscale structure within and across a wide range of clinical populations compared to competing structures, and to identify any clinical populations where the HoNOS might require modification in order to improve its psychometric properties. Ordinal confirmatory factor analysis was performed for four competing HoNOS subscale structures using a national sample of 80,161 ratings taken at the point of referral to mental health services in England. A new four-factor structure with good/acceptable internal consistency for each of the factors/subscales demonstrated a significantly better fit to the data for 21 of the 24 data groups compared to three competing subscale models. A new four-factor/subscale structure was shown to be the most generalizable subscale structure currently available for HoNOS. However, although superior to other factorial structures, the statistical fit was less than optimal for some clinical populations. Therefore, we would recommend that additional items relevant to all mental health patients are identified and added to the HoNOS in order to allow the development of a single, more generalizable subscale structure, and a much improved version of the HoNOS.",
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Factorial structure of the Health of the Nation Outcome Scales: An ordinal confirmatory factor analysis using a national sample of clinician ratings in England. / Speak, Barry; Muncer, Steven.

In: International Journal of Mental Health Nursing, Vol. 25, No. 1, 13.01.2016, p. -.

Research output: Contribution to journalArticleResearchpeer-review

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AB - In the present study, the superior factorial structure of the Health of the Nation Outcome Scales (HoNOS) was investigated. The aims of the study were to test the fit of our new four-factor/subscale structure within and across a wide range of clinical populations compared to competing structures, and to identify any clinical populations where the HoNOS might require modification in order to improve its psychometric properties. Ordinal confirmatory factor analysis was performed for four competing HoNOS subscale structures using a national sample of 80,161 ratings taken at the point of referral to mental health services in England. A new four-factor structure with good/acceptable internal consistency for each of the factors/subscales demonstrated a significantly better fit to the data for 21 of the 24 data groups compared to three competing subscale models. A new four-factor/subscale structure was shown to be the most generalizable subscale structure currently available for HoNOS. However, although superior to other factorial structures, the statistical fit was less than optimal for some clinical populations. Therefore, we would recommend that additional items relevant to all mental health patients are identified and added to the HoNOS in order to allow the development of a single, more generalizable subscale structure, and a much improved version of the HoNOS.

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