Structural equation model to predict subjective quality of life: a comparison of scales with different numerical anchoring.

Objective: The main aim of the current survey was to evaluate a hypothesized model on subjective quality of life (SQOL), and to survey the role of scale anchoring on satisfaction and dissatisfaction ratings. Method: The sample consisted of 456 volunteering students who were randomly assigned in to t...

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Main Author: Mehrdad Mazaheri
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2010-12-01
Series:Iranian Journal of Psychiatry
Subjects:
Online Access:https://ijps.tums.ac.ir/index.php/ijps/article/view/352
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spelling doaj-267d7cc93e114d028bc01a177b85070e2020-11-25T03:48:37ZengTehran University of Medical SciencesIranian Journal of Psychiatry1735-45872008-22152010-12-0154Structural equation model to predict subjective quality of life: a comparison of scales with different numerical anchoring.Mehrdad Mazaheri0Department of Psychology, University of Sistan & BaluchestanObjective: The main aim of the current survey was to evaluate a hypothesized model on subjective quality of life (SQOL), and to survey the role of scale anchoring on satisfaction and dissatisfaction ratings. Method: The sample consisted of 456 volunteering students who were randomly assigned in to two different conditions, and rated their current overall life (dis)satisfaction and their (dis)satisfaction on six different domains of life. Each condition used one of the two rating scale formats; the formats differed in anchoring (-5 to +5 and 0 to 10). In order to find how the six different domains of life combine to produce an overall measure of subjective quality of life, a SQOL model was designed; and the strength of this hypothesized model of SQOL was examined using structural equation modeling. Results: The results of testing for multiple group invariance of the hypothesized model indicated a cross-validity for the studied model for measuring SQOL. Our results also indicated that comparing the two different response formats, only for scores derived from Horizontal (0 to 10) response format, all the paths in the model were found to be significant. Conclusion: The results of the confirmatory factor analysis (CFA) support the conclusion that the proposed model of SQOL fit the data well, and is able to predict SQOL.https://ijps.tums.ac.ir/index.php/ijps/article/view/352DissatisfactionPsychometricsQuality of lifeSatisfaction
collection DOAJ
language English
format Article
sources DOAJ
author Mehrdad Mazaheri
spellingShingle Mehrdad Mazaheri
Structural equation model to predict subjective quality of life: a comparison of scales with different numerical anchoring.
Iranian Journal of Psychiatry
Dissatisfaction
Psychometrics
Quality of life
Satisfaction
author_facet Mehrdad Mazaheri
author_sort Mehrdad Mazaheri
title Structural equation model to predict subjective quality of life: a comparison of scales with different numerical anchoring.
title_short Structural equation model to predict subjective quality of life: a comparison of scales with different numerical anchoring.
title_full Structural equation model to predict subjective quality of life: a comparison of scales with different numerical anchoring.
title_fullStr Structural equation model to predict subjective quality of life: a comparison of scales with different numerical anchoring.
title_full_unstemmed Structural equation model to predict subjective quality of life: a comparison of scales with different numerical anchoring.
title_sort structural equation model to predict subjective quality of life: a comparison of scales with different numerical anchoring.
publisher Tehran University of Medical Sciences
series Iranian Journal of Psychiatry
issn 1735-4587
2008-2215
publishDate 2010-12-01
description Objective: The main aim of the current survey was to evaluate a hypothesized model on subjective quality of life (SQOL), and to survey the role of scale anchoring on satisfaction and dissatisfaction ratings. Method: The sample consisted of 456 volunteering students who were randomly assigned in to two different conditions, and rated their current overall life (dis)satisfaction and their (dis)satisfaction on six different domains of life. Each condition used one of the two rating scale formats; the formats differed in anchoring (-5 to +5 and 0 to 10). In order to find how the six different domains of life combine to produce an overall measure of subjective quality of life, a SQOL model was designed; and the strength of this hypothesized model of SQOL was examined using structural equation modeling. Results: The results of testing for multiple group invariance of the hypothesized model indicated a cross-validity for the studied model for measuring SQOL. Our results also indicated that comparing the two different response formats, only for scores derived from Horizontal (0 to 10) response format, all the paths in the model were found to be significant. Conclusion: The results of the confirmatory factor analysis (CFA) support the conclusion that the proposed model of SQOL fit the data well, and is able to predict SQOL.
topic Dissatisfaction
Psychometrics
Quality of life
Satisfaction
url https://ijps.tums.ac.ir/index.php/ijps/article/view/352
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