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Psychometric evaluation of health related quality of life among rural-to-urban migrants in China.

Wang P, Chen C, Yang R, Wu Y - Health Qual Life Outcomes (2015)

Bottom Line: CFA statistical analysis results are shown as follows: GFI = 0.926, Chi-Square/Df = 2.059, RMSEA = 0.037, CFI = 0.939.In general, SF-36 is a reliable and valid instrument for measuring HRQOL of rural-to-urban migrants in China.Furthermore, Chinese migrants have lived and worked in a hard environment, their salaries are much lower than that of the counterparts, HRQOL of this group is also a little lower and deserves much attention from society.

View Article: PubMed Central - PubMed

Affiliation: Wuhan University, School of Public Health, Global Health Institute, Wuhan, China.

ABSTRACT

Objectives: Our study discusses health related quality of life (HRQOL) as measured by 36-item Short Form (SF-36) for rural-to-urban migrants in China, and assesses the validity and reliability of the SF-36 for this group.

Methods: In 2012,765 rural-to-urban migrant respondents chosen by probability and the non-probability sampling methods have completed the survey in Wuhan, Mid-China. The reliability of SF-36 is analyzed by Cronbach's alpha (α) coefficient, split-half coefficient, theta (θ) and omega (Ω) coefficient, the validity is calculated by confirmatory factor analysis (CFA) and known-group methods.

Result: Split-half reliability coefficient is 0.717. Cronbach's alpha coefficient is 0.776. Theta and omega coefficient are 0.862 and 0.903 respectively. CFA statistical analysis results are shown as follows: GFI = 0.926, Chi-Square/Df = 2.059, RMSEA = 0.037, CFI = 0.939. Physical and mental component summary (PCS/MCS) scores are tabulated by known-group variables and show a statistical significance.

Conclusion: In general, SF-36 is a reliable and valid instrument for measuring HRQOL of rural-to-urban migrants in China. Furthermore, Chinese migrants have lived and worked in a hard environment, their salaries are much lower than that of the counterparts, HRQOL of this group is also a little lower and deserves much attention from society.

No MeSH data available.


Related in: MedlinePlus

CFA analysis for the construct validity of SF-36 items. Note: ***, p < 0. 001; **, p < 0. 01; *, p < 0. 05
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Fig1: CFA analysis for the construct validity of SF-36 items. Note: ***, p < 0. 001; **, p < 0. 01; *, p < 0. 05

Mentions: Confirmatory factor analysis (CFA) is used to test construct validity. To better understanding the construct validity of SF-36 for migrant population, the CFA results are presented in Fig. 1, the goodness of fitting indicators are: GFI = 0.926, Chi-Square/Df = 2.059, RMSEA = 0.037, CFI = 0.939. The results demonstrate that the proposed model and the actual observed data fit well. Standardized estimation for the adjusted model of the SF-36 is depicted in Fig. 1. Except the loading factor of “Peaceful” item, others are statistically significant. “Blue/Sad" has strongest effect on MH dimension, with standardized coefficients 0.88. The effect of “Peaceful" to MH dimension is the poorest, with standardized coefficient 0.06. Most items are highly loaded at the corresponding dimension. The convergent validity of the most dimensions is beyond 0.40, arriving at the judging criteria.Fig. 1


Psychometric evaluation of health related quality of life among rural-to-urban migrants in China.

Wang P, Chen C, Yang R, Wu Y - Health Qual Life Outcomes (2015)

CFA analysis for the construct validity of SF-36 items. Note: ***, p < 0. 001; **, p < 0. 01; *, p < 0. 05
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4581414&req=5

Fig1: CFA analysis for the construct validity of SF-36 items. Note: ***, p < 0. 001; **, p < 0. 01; *, p < 0. 05
Mentions: Confirmatory factor analysis (CFA) is used to test construct validity. To better understanding the construct validity of SF-36 for migrant population, the CFA results are presented in Fig. 1, the goodness of fitting indicators are: GFI = 0.926, Chi-Square/Df = 2.059, RMSEA = 0.037, CFI = 0.939. The results demonstrate that the proposed model and the actual observed data fit well. Standardized estimation for the adjusted model of the SF-36 is depicted in Fig. 1. Except the loading factor of “Peaceful” item, others are statistically significant. “Blue/Sad" has strongest effect on MH dimension, with standardized coefficients 0.88. The effect of “Peaceful" to MH dimension is the poorest, with standardized coefficient 0.06. Most items are highly loaded at the corresponding dimension. The convergent validity of the most dimensions is beyond 0.40, arriving at the judging criteria.Fig. 1

Bottom Line: CFA statistical analysis results are shown as follows: GFI = 0.926, Chi-Square/Df = 2.059, RMSEA = 0.037, CFI = 0.939.In general, SF-36 is a reliable and valid instrument for measuring HRQOL of rural-to-urban migrants in China.Furthermore, Chinese migrants have lived and worked in a hard environment, their salaries are much lower than that of the counterparts, HRQOL of this group is also a little lower and deserves much attention from society.

View Article: PubMed Central - PubMed

Affiliation: Wuhan University, School of Public Health, Global Health Institute, Wuhan, China.

ABSTRACT

Objectives: Our study discusses health related quality of life (HRQOL) as measured by 36-item Short Form (SF-36) for rural-to-urban migrants in China, and assesses the validity and reliability of the SF-36 for this group.

Methods: In 2012,765 rural-to-urban migrant respondents chosen by probability and the non-probability sampling methods have completed the survey in Wuhan, Mid-China. The reliability of SF-36 is analyzed by Cronbach's alpha (α) coefficient, split-half coefficient, theta (θ) and omega (Ω) coefficient, the validity is calculated by confirmatory factor analysis (CFA) and known-group methods.

Result: Split-half reliability coefficient is 0.717. Cronbach's alpha coefficient is 0.776. Theta and omega coefficient are 0.862 and 0.903 respectively. CFA statistical analysis results are shown as follows: GFI = 0.926, Chi-Square/Df = 2.059, RMSEA = 0.037, CFI = 0.939. Physical and mental component summary (PCS/MCS) scores are tabulated by known-group variables and show a statistical significance.

Conclusion: In general, SF-36 is a reliable and valid instrument for measuring HRQOL of rural-to-urban migrants in China. Furthermore, Chinese migrants have lived and worked in a hard environment, their salaries are much lower than that of the counterparts, HRQOL of this group is also a little lower and deserves much attention from society.

No MeSH data available.


Related in: MedlinePlus