Locsin R C
Florida Atlantic University, Boca Raton 33431-0991, USA.
Nurs Health Sci. 1999 Mar;1(1):27-34. doi: 10.1046/j.1442-2018.1999.00005.x.
Twenty-seven statements make up the Technological Caring Instrument (TCI) which was developed to measure technological caring in nursing. In order to establish a database and its reliability and validity, responses were generated from 193 professional nurses who participated in the study. The results indicate that the TCI has a high internal consistency, construct validity, and sufficient split-half reliability. Cronbach's alpha was 0.8129 with split-half alpha of 0.666 for 14 items in Part 1 and 0.828 for 13 items in Part 2. Significant differences were found between factors (F = 97.0199, P = 0.0000). Factor analysis identified eight items with the first factor revealing nine cluster statements with values of 0.51-0.84. The second factor had two cluster statements with 0.75 and 0.74 values. The independent sample t-test results demonstrated the influence of education, area of expertise, and years of experience on the technological caring of registered professional nurses. The utilization and continued investigation of TCI are suggested.
技术关怀工具（TCI）由27项陈述组成，该工具旨在衡量护理中的技术关怀。为了建立一个数据库并确定其信效度，研究收集了193名专业护士的回复。结果表明，TCI具有较高的内部一致性、结构效度和足够的分半信度。第一部分14项条目的Cronbach's α系数为0.8129，分半α系数为0.666；第二部分13项条目的Cronbach's α系数为0.828。各因素之间存在显著差异（F = 97.0199，P = 0.0000）。因子分析确定了8个条目，第一个因子揭示了9个聚类陈述，其值为0.51 - 0.84。第二个因子有2个聚类陈述，值分别为0.75和0.74。独立样本t检验结果表明了教育程度、专业领域和工作年限对注册专业护士技术关怀的影响。建议对TCI进行应用和持续研究。
