2020
DOI: 10.3389/fped.2020.498885
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Developing and Testing the Reliability and Validity of the Brief Haze Weather Health Protection Behavior Assessment Scale-Adolescent Version (BHWHPBAS-AV)

Abstract: Objectives: To develop a Brief Haze Weather Health Protection Behavior Assessment Scale-Adolescent Version (BHWHPBAS-AV). Methods: Considering primary prevention, secondary prevention and tertiary prevention as a theoretical basis, researchers developed a Brief Haze Weather Health Protection Behavior Assessment Scale-Adolescent Version-I(BHWHPBAS-AV-I). After performing 6 reviews by related experts, and after conducting six adolescent tests for BHWHPBAS-AV-I, researchers developed an updated BHWHPBAS-AV-II. Ou… Show more

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Cited by 5 publications
(8 citation statements)
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References 31 publications
(49 reference statements)
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“…Specific indicators were employed to evaluate the model fit. For the EFA analysis, criteria included a Kaiser-Meyer-Olkin (KMO) coefficient greater than 0.70, a significance level below 0.05 for Bartlett’s sphericity test, eigenvalues above 1.0, cumulative variance contribution rates above 50%, and factor loading above 0.40 [ 33 , 34 ]. A cross-loading value below 0.30, and a difference of primary loading as compared to any cross-loading value above 0.2 were recommended [ 35 ].…”
Section: Methodsmentioning
confidence: 99%
“…Specific indicators were employed to evaluate the model fit. For the EFA analysis, criteria included a Kaiser-Meyer-Olkin (KMO) coefficient greater than 0.70, a significance level below 0.05 for Bartlett’s sphericity test, eigenvalues above 1.0, cumulative variance contribution rates above 50%, and factor loading above 0.40 [ 33 , 34 ]. A cross-loading value below 0.30, and a difference of primary loading as compared to any cross-loading value above 0.2 were recommended [ 35 ].…”
Section: Methodsmentioning
confidence: 99%
“…Specific indicators were used to evaluate the model fit. For EFA analysis, a Kaiser-Meyer-Olkin (KMO) coefficient >0.70, engine value >1.0 ( 30 , 31 ) cumulative variance contribution rate >50%, and factor load >0.30 were recommended ( 32 , 33 ). For CFA analysis, the Root Mean Square Error of Approximation (RMSEA) should be <0.10 (better if below 0.05); otherwise, the model should be rejected ( 33 , 34 ).…”
Section: Methodsmentioning
confidence: 99%
“…Construct validity evaluates the degree to which an instrument/ test measures the intended construct. Exploratory factor analysis 48 and confirmatory factor analysis 49,50 were used.…”
Section: Construct Validitymentioning
confidence: 99%