目的编制择期手术患者术前自我准备度量表并检验其信效度,为评估择期手术患者术前自我准备水平提供有效测评工具。方法以认知-情感系统理论(cognitive-affective system theory of personality,CAPS)及知信行理论(knowledge,attitude/be...目的编制择期手术患者术前自我准备度量表并检验其信效度,为评估择期手术患者术前自我准备水平提供有效测评工具。方法以认知-情感系统理论(cognitive-affective system theory of personality,CAPS)及知信行理论(knowledge,attitude/belief,practice,KAP)为指导,通过文献回顾、半结构式访谈等初步构建量表条目池,经过2轮专家咨询和预实验,形成临床测试版量表。选取236例择期手术患者作为研究对象进行问卷调查,检验量表信效度。结果最终形成的量表包括知识、情感和行为3个维度,共24个条目。通过探索性因子分析提取3个公因子,累计方差贡献率为52.606%,各条目因子载荷值为0.412~0.816;量表内容效度指数为0.992,各条目内容效度指数为0.875~1.000;总量表Cronbachα系数为0.907,折半信度系数为0.748,各维度Cronbachα系数为0.680~0.906。结论编制的择期手术患者术前自我准备度量表具有良好的信效度,可作为评估择期手术患者术前自我准备度的工具。展开更多
Based on the recently quick-developing time-frequency analysis (TFA)technique and virtual instrument (VI) technique, a virtual instrument in characteristic analysis ofrotating machinery is researched and developed suc...Based on the recently quick-developing time-frequency analysis (TFA)technique and virtual instrument (VI) technique, a virtual instrument in characteristic analysis ofrotating machinery is researched and developed successfully. By utilizing instantaneous frequencyestimation (IFE) theoretics of TFA technique, and based on IFE of peak searching on thetime-frequency spectrum, order analysis (OA) functions is put forward and implemented, such as orderspectrum, order spectrum matrix, order tracking, order tracking filtering, and order componentextraction, etc. Unlike the home and abroad existing popular characteristic analyzers, which needkey phasing devices such as shaft encoder, phase-locked loop (PLL), phase-locked multiple frequency,tachometer, etc, to implement constant angle sampling directly or indirectly, whereas thisinstrument only uses the vibration signal of rotating machinery to carry out OA. This instrumentmakes up the shortage of these traditional instruments in analyzing the non-stationary signal ofrun-up and run-down process of rotating machinery. Therefore, it is a great breakthrough for theexisting order analyzers.展开更多
文摘目的编制择期手术患者术前自我准备度量表并检验其信效度,为评估择期手术患者术前自我准备水平提供有效测评工具。方法以认知-情感系统理论(cognitive-affective system theory of personality,CAPS)及知信行理论(knowledge,attitude/belief,practice,KAP)为指导,通过文献回顾、半结构式访谈等初步构建量表条目池,经过2轮专家咨询和预实验,形成临床测试版量表。选取236例择期手术患者作为研究对象进行问卷调查,检验量表信效度。结果最终形成的量表包括知识、情感和行为3个维度,共24个条目。通过探索性因子分析提取3个公因子,累计方差贡献率为52.606%,各条目因子载荷值为0.412~0.816;量表内容效度指数为0.992,各条目内容效度指数为0.875~1.000;总量表Cronbachα系数为0.907,折半信度系数为0.748,各维度Cronbachα系数为0.680~0.906。结论编制的择期手术患者术前自我准备度量表具有良好的信效度,可作为评估择期手术患者术前自我准备度的工具。
文摘Based on the recently quick-developing time-frequency analysis (TFA)technique and virtual instrument (VI) technique, a virtual instrument in characteristic analysis ofrotating machinery is researched and developed successfully. By utilizing instantaneous frequencyestimation (IFE) theoretics of TFA technique, and based on IFE of peak searching on thetime-frequency spectrum, order analysis (OA) functions is put forward and implemented, such as orderspectrum, order spectrum matrix, order tracking, order tracking filtering, and order componentextraction, etc. Unlike the home and abroad existing popular characteristic analyzers, which needkey phasing devices such as shaft encoder, phase-locked loop (PLL), phase-locked multiple frequency,tachometer, etc, to implement constant angle sampling directly or indirectly, whereas thisinstrument only uses the vibration signal of rotating machinery to carry out OA. This instrumentmakes up the shortage of these traditional instruments in analyzing the non-stationary signal ofrun-up and run-down process of rotating machinery. Therefore, it is a great breakthrough for theexisting order analyzers.
