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Development of an instrument to measure technological caring in nursing
Author(s) -
Locsin Rozzano
Publication year - 1999
Publication title -
nursing and health sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.563
H-Index - 47
eISSN - 1442-2018
pISSN - 1441-0745
DOI - 10.1046/j.1442-2018.1999.00005.x
Subject(s) - cronbach's alpha , reliability (semiconductor) , construct validity , internal consistency , measure (data warehouse) , cluster (spacecraft) , psychology , sample (material) , nursing , construct (python library) , consistency (knowledge bases) , test (biology) , medicine , psychometrics , clinical psychology , computer science , data mining , paleontology , power (physics) , chemistry , physics , chromatography , quantum mechanics , artificial intelligence , biology , programming language
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.