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英语翻译Here,severalfitindiceswereusedtoassessmodeldatafit.SteigerandLind’s[42]rootmeansquareerrorofapproximation(RMSEA),BentlerandBonnet’snon-normedfitindex(NNFI),andBentler’s[6]comparativefitindex(CFI)werea
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英语翻译
Here,several fit indices were used to assess modeldata
fit.Steiger and Lind’s [42] root mean square error
of approximation (RMSEA),Bentler and Bonnet’s
non-normed fit index (NNFI),and Bentler’s [6]
comparative fit index (CFI) were all used to evaluate
model-data fit.RMSEA below 0.050 suggests good
model-data fit; between 0.050 and 0.100 it suggests
acceptable model-data fit.NNFI and CFI indices
greater than 0.90 suggest good model-data fit.NNFI
and CFI indices greater than 0.80 suggest adequate
model-data fit.
Here,several fit indices were used to assess modeldata
fit.Steiger and Lind’s [42] root mean square error
of approximation (RMSEA),Bentler and Bonnet’s
non-normed fit index (NNFI),and Bentler’s [6]
comparative fit index (CFI) were all used to evaluate
model-data fit.RMSEA below 0.050 suggests good
model-data fit; between 0.050 and 0.100 it suggests
acceptable model-data fit.NNFI and CFI indices
greater than 0.90 suggest good model-data fit.NNFI
and CFI indices greater than 0.80 suggest adequate
model-data fit.
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答案和解析
这里,几个适合的索引使用估计modeldata 适合.Steiger 和Lind 的[ 42 ] 根均方近似误差(RMSEA),Bentler 和帽子的non-normed 适合的索引(NNFI),并且Bentler 的[ 6 ] 比较词适合的索引(CFI) 是全部使用评估模型数据适合.RMSEA 在0.050 以下建议好模型数据适合; 在0.050 和0.100 之间它建议可接受的模型数据适合.NNFI 和CFI 索引大于0.90 建议好模型数据适合.NNFI 和CFI 索引大于0.80 建议充分模型数据适合.
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