Refining quality of life: Validating a multidimensional factor measure in the severe mentally ill

S. L. Bishop, D. P. Walling, S. G. Dott, C. C. Folkes, J. Bucy

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

Quality of life measurement has historically been characterized by a focus on physical functionality, great variability in definitions and insufficient attention to psychometric properties of measures. The present study examined four core subscales of the Quality of Life Enjoyment Scale (Q- LES-Q) designed to assess subjective quality of life (i.e. physical health, subjective feelings, leisure activities and social relationships) administered to 151 male and female subjects with severe mental illness admitted to a residential community treatment center or a university psychiatric hospital. The use of factor analysis is a common approach to examining construct validity of instruments through the examination of correlated clusters of item responses. Those sets of highly correlated item responses should identify a construct or dimension of related items (i.e. a factor). Two factor approaches, exploratory (i.e. the maximum number of possible factors is unspecified) and restricted (i.e. the maximum number of factors allowed is specified), were employed to examine construct validity of the four Q-LES-Q subscales. In addition, both orthogonal (i.e. independence between factors is maximized) and oblique (i.e. correlated factors are allowed) rotations (arrangements) of factor structure were also investigated to define subscale validity further. Results supported good construct validity for each subscale with either factor approach, i.e. the four proposed subscales were clearly identifiable in the factors (groupings) of correlated item responses from the sample. In both cases, the orthogonal (independent) rotation produced the simplest structure, i.e. the clearest groupings of items. These results indicate that the Q-LES-Q does appear to measure valid dimensions matching those proposed by the subscales and, thus, may be a useful and reliable tool for clinical applications.

Original languageEnglish (US)
Pages (from-to)151-160
Number of pages10
JournalQuality of Life Research
Volume8
Issue number1-2
DOIs
StatePublished - 1999

Fingerprint

Mentally Ill Persons
Quality of Life
Residential Treatment
Diagnostic Self Evaluation
Leisure Activities
Psychiatric Hospitals
Psychometrics
Statistical Factor Analysis
Emotions

Keywords

  • Health measures
  • Mental illness
  • Outcome measures
  • Quality of life

ASJC Scopus subject areas

  • Rehabilitation
  • Nursing(all)

Cite this

Refining quality of life : Validating a multidimensional factor measure in the severe mentally ill. / Bishop, S. L.; Walling, D. P.; Dott, S. G.; Folkes, C. C.; Bucy, J.

In: Quality of Life Research, Vol. 8, No. 1-2, 1999, p. 151-160.

Research output: Contribution to journalArticle

Bishop, S. L. ; Walling, D. P. ; Dott, S. G. ; Folkes, C. C. ; Bucy, J. / Refining quality of life : Validating a multidimensional factor measure in the severe mentally ill. In: Quality of Life Research. 1999 ; Vol. 8, No. 1-2. pp. 151-160.
@article{39ece36bea684c77bd49ddf9831d39fc,
title = "Refining quality of life: Validating a multidimensional factor measure in the severe mentally ill",
abstract = "Quality of life measurement has historically been characterized by a focus on physical functionality, great variability in definitions and insufficient attention to psychometric properties of measures. The present study examined four core subscales of the Quality of Life Enjoyment Scale (Q- LES-Q) designed to assess subjective quality of life (i.e. physical health, subjective feelings, leisure activities and social relationships) administered to 151 male and female subjects with severe mental illness admitted to a residential community treatment center or a university psychiatric hospital. The use of factor analysis is a common approach to examining construct validity of instruments through the examination of correlated clusters of item responses. Those sets of highly correlated item responses should identify a construct or dimension of related items (i.e. a factor). Two factor approaches, exploratory (i.e. the maximum number of possible factors is unspecified) and restricted (i.e. the maximum number of factors allowed is specified), were employed to examine construct validity of the four Q-LES-Q subscales. In addition, both orthogonal (i.e. independence between factors is maximized) and oblique (i.e. correlated factors are allowed) rotations (arrangements) of factor structure were also investigated to define subscale validity further. Results supported good construct validity for each subscale with either factor approach, i.e. the four proposed subscales were clearly identifiable in the factors (groupings) of correlated item responses from the sample. In both cases, the orthogonal (independent) rotation produced the simplest structure, i.e. the clearest groupings of items. These results indicate that the Q-LES-Q does appear to measure valid dimensions matching those proposed by the subscales and, thus, may be a useful and reliable tool for clinical applications.",
keywords = "Health measures, Mental illness, Outcome measures, Quality of life",
author = "Bishop, {S. L.} and Walling, {D. P.} and Dott, {S. G.} and Folkes, {C. C.} and J. Bucy",
year = "1999",
doi = "10.1023/A:1026489331009",
language = "English (US)",
volume = "8",
pages = "151--160",
journal = "Quality of Life Research",
issn = "0962-9343",
publisher = "Springer Netherlands",
number = "1-2",

}

TY - JOUR

T1 - Refining quality of life

T2 - Validating a multidimensional factor measure in the severe mentally ill

AU - Bishop, S. L.

AU - Walling, D. P.

AU - Dott, S. G.

AU - Folkes, C. C.

AU - Bucy, J.

PY - 1999

Y1 - 1999

N2 - Quality of life measurement has historically been characterized by a focus on physical functionality, great variability in definitions and insufficient attention to psychometric properties of measures. The present study examined four core subscales of the Quality of Life Enjoyment Scale (Q- LES-Q) designed to assess subjective quality of life (i.e. physical health, subjective feelings, leisure activities and social relationships) administered to 151 male and female subjects with severe mental illness admitted to a residential community treatment center or a university psychiatric hospital. The use of factor analysis is a common approach to examining construct validity of instruments through the examination of correlated clusters of item responses. Those sets of highly correlated item responses should identify a construct or dimension of related items (i.e. a factor). Two factor approaches, exploratory (i.e. the maximum number of possible factors is unspecified) and restricted (i.e. the maximum number of factors allowed is specified), were employed to examine construct validity of the four Q-LES-Q subscales. In addition, both orthogonal (i.e. independence between factors is maximized) and oblique (i.e. correlated factors are allowed) rotations (arrangements) of factor structure were also investigated to define subscale validity further. Results supported good construct validity for each subscale with either factor approach, i.e. the four proposed subscales were clearly identifiable in the factors (groupings) of correlated item responses from the sample. In both cases, the orthogonal (independent) rotation produced the simplest structure, i.e. the clearest groupings of items. These results indicate that the Q-LES-Q does appear to measure valid dimensions matching those proposed by the subscales and, thus, may be a useful and reliable tool for clinical applications.

AB - Quality of life measurement has historically been characterized by a focus on physical functionality, great variability in definitions and insufficient attention to psychometric properties of measures. The present study examined four core subscales of the Quality of Life Enjoyment Scale (Q- LES-Q) designed to assess subjective quality of life (i.e. physical health, subjective feelings, leisure activities and social relationships) administered to 151 male and female subjects with severe mental illness admitted to a residential community treatment center or a university psychiatric hospital. The use of factor analysis is a common approach to examining construct validity of instruments through the examination of correlated clusters of item responses. Those sets of highly correlated item responses should identify a construct or dimension of related items (i.e. a factor). Two factor approaches, exploratory (i.e. the maximum number of possible factors is unspecified) and restricted (i.e. the maximum number of factors allowed is specified), were employed to examine construct validity of the four Q-LES-Q subscales. In addition, both orthogonal (i.e. independence between factors is maximized) and oblique (i.e. correlated factors are allowed) rotations (arrangements) of factor structure were also investigated to define subscale validity further. Results supported good construct validity for each subscale with either factor approach, i.e. the four proposed subscales were clearly identifiable in the factors (groupings) of correlated item responses from the sample. In both cases, the orthogonal (independent) rotation produced the simplest structure, i.e. the clearest groupings of items. These results indicate that the Q-LES-Q does appear to measure valid dimensions matching those proposed by the subscales and, thus, may be a useful and reliable tool for clinical applications.

KW - Health measures

KW - Mental illness

KW - Outcome measures

KW - Quality of life

UR - http://www.scopus.com/inward/record.url?scp=0032781483&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032781483&partnerID=8YFLogxK

U2 - 10.1023/A:1026489331009

DO - 10.1023/A:1026489331009

M3 - Article

C2 - 10457748

AN - SCOPUS:0032781483

VL - 8

SP - 151

EP - 160

JO - Quality of Life Research

JF - Quality of Life Research

SN - 0962-9343

IS - 1-2

ER -