Revised manuscript: Factor structure and measurement invariance of the older people’s quality of life scale

Abstract: Introduction: The Professional Quality of Life Scale, measuring the quality of professional life, has been developed to examine the positive and negative changes in the work of those who have undergone extremely stressful experiences. The quality of life of the personnel of palliative-hospice teams may be influenced physically as well as emotionally by their every-day experiences of suffering, death, dying and the patients’ traumas. Aim: The aim of the study was the examination of the psychometric features and factor structure of the Hungarian version of the Professional Quality of Life Scale questionnaire, which can measure compassion fatigue and satisfaction, secondary traumatisation and burnout. Our long-term objective is the development of formative and intervention strategies for hospice workers in order to increase their satisfaction, physical and mental well-being and their willingness to work in hospice. Method: The cross-sectional, questionnaire study was made with hospice workers. The questionnaires were available in an anonym, printed form. We used the Hungarian versions of the Shortened Maastricht Vital Exhaustion Questionnaire and of the Shortened Beck Depression Scale, of the CES-D Depression Scale and of the Shortened WHO General Well-Being Scale to validate. Statistical analysis: IBM SPSS 23.0© software was used for the analysis. To explore the factor structure of the measurement scale, explorative factor analysis was made (analysis of the main component, Varimax rotation); subsequently, 4 scales were prepared the Cronbach-alpha values of which were suitable for further examination. Results: 188 questionnaires were sent back (female 86.2%, male 13.8%); the majority work as nurses and in home hospice care (94 people). The inner consistency of the created 4 scales is acceptable according to the Cronbach-alpha values. The inner consistency of the questions regarding burnout is low. The correlation of our measurement scales with the standardised scales for outer validity has sufficient strength and direction. Conclusions: Our questionnaire can measure the phenomena under examination according to the expected values, with suitable consistency on the basis of the inner and outer indicators. Orv Hetil. 2018; 159(35): 1441–1449.

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Factor Structure of the Quality of Life Scale for Mental Disorders in Patients With Schizophrenia

Journal of Nursing Research ◽

10.1097/jnr.0000000000000236 ◽

2018 ◽

Vol 26 (3) ◽

pp. 185-190

Author(s):

En-Chi CHIU ◽

Shu-Chun LEE

Keyword(s):

Quality Of Life ◽

Mental Disorders ◽

Factor Structure ◽

Quality Of Life Scale ◽

Life Scale

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Examining the Factor Structure and Psychometric Properties of the Quality of Life Scale Among People With Multiple Sclerosis

Rehabilitation Research Policy and Education ◽

10.1891/2168-6653.29.2.165 ◽

2015 ◽

Vol 29 (2) ◽

pp. 165-182

Author(s):

Shawn M. Fitzgerald ◽

Jian Li ◽

Phillip D. Rumrill ◽

Malachy Bishop ◽

William R. Merchant

Keyword(s):

Quality Of Life ◽

Multiple Sclerosis ◽

Factor Structure ◽

Factor Model ◽

Psychosocial Adaptation ◽

Single Factor ◽

Quality Of Life Scale ◽

Life Scale ◽

The Impact

Rehabilitation counseling researchers seeking to more fully understand the phenomenon of psychosocial adaptation to disability are devoting increased attention to the impact of disability on quality of life (QOL). This impact has been of particular interest among multiple sclerosis (MS) researchers. The complex etiology, unpredictable nature, and the multiple functional limitations attendant to MS have been identified as major impediments in research efforts to develop psychometrically sound and clinically sensitive tools to evaluate the impact of MS on QOL. This article presents the results of a confirmatory factor analysis of the factor structure of the Quality of Life Scale (QOLS), which has been used in several studies to evaluate the impact of MS on QOL. The QOLS was developed to assess the self-reported QOL of people with chronic pain and evaluates the degree of satisfaction with 7 distinct domains of personal and social activity. The developers’ original principal component analysis revealed a single-factor model with high levels of internal consistency reliability. It is not clear, however, how the 1-factor model fits the population of individuals with MS and how the 7 items perform in terms of their measurement of the single factor. The 1-factor structure of the QOLS did not fit the data well in this sample of individuals with MS. Subsequent model iterations that incorporated 3 error covariances provided increasingly better fit and resulted in a reasonable model fit to the data.

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The Construct of the Schizophrenia Quality of Life Scale Revision 4 for the Population of Taiwan

Occupational Therapy International ◽

10.1155/2017/5328101 ◽

2017 ◽

Vol 2017 ◽

pp. 1-11 ◽

Cited By ~ 4

Author(s):

Chia-Ting Su ◽

Ai-Lun Yang ◽

Chung-Ying Lin

Keyword(s):

Quality Of Life ◽

Factor Structure ◽

Rating Scale ◽

World Health ◽

World Health Organization Quality ◽

Quality Of Life Scale ◽

Life Scale ◽

Highly Correlated ◽

Health Organization

This study examines the factor structure of the Schizophrenia Quality of Life Scale Revision 4 (SQLS-R4) for inpatients with schizophrenia in a psychiatric hospital in southern Taiwan. All the participants (n=100) filled out the SQLS-R4, Mini Mental Status Examination (MMSE), and Brief Psychiatric Rating Scale (BPRS) under the supervision of one experienced occupational therapist. Using confirmatory factor analysis, we first determined that a 29-item model was more satisfactory than the original 33-item model based on the findings of better fit indices for the 29-item model. We then found that a three-correlated-factor structure was best for the SQLS-R4 after four models (namely, two-correlated-factor, three-correlated-factor, seven-correlated-factor, and second-order models) had been compared. In addition, the three constructs (psychosocial, physical, and vitality) were moderately to highly correlated with the constructs of the World Health Organization Quality of Life- (WHOQOL-) BREF (r=-0.38 to -0.69), except for one low correlation between the vitality construct of the SQLS-R4 and the psychological construct of the WHOQOL-BREF (r=-0.26). We tentatively conclude that the SQLS-R4 with a three-correlated-factor structure is a valid and reliable instrument for examining the quality of life of people with schizophrenia.

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