Kate Laver1, Stacey George, Julie Ratcliffe, Maria Crotty. 1. Department of Rehabilitation, Aged and Extended Care, Flinders Clinical Effectiveness, Flinders University, Adelaide, South Australia. Kate.Laver@health.sa.gov.au
Abstract
PURPOSE: To describe a modification of the computer self efficacy scale for use in clinical settings and to report on the modified scale's reliability and construct validity. METHODS: The computer self efficacy scale was modified to make it applicable for clinical settings (for use with older people or people with disabilities using everyday technologies). The modified scale was piloted, then tested with patients in an Australian inpatient rehabilitation setting (n = 88) to determine the internal consistency using Cronbach's alpha coefficient. Construct validity was assessed by correlation of the scale with age and technology use. Factor analysis using principal components analysis was undertaken to identify important constructs within the scale. RESULTS: The modified computer self efficacy scale demonstrated high internal consistency with a standardised alpha coefficient of 0.94. Two constructs within the scale were apparent; using the technology alone, and using the technology with the support of others. Scores on the scale were correlated with age and frequency of use of some technologies thereby supporting construct validity. CONCLUSIONS: The modified computer self efficacy scale has demonstrated reliability and construct validity for measuring the self efficacy of older people or people with disabilities when using everyday technologies. This tool has the potential to assist clinicians in identifying older patients who may be more open to using new technologies to maintain independence.
PURPOSE: To describe a modification of the computer self efficacy scale for use in clinical settings and to report on the modified scale's reliability and construct validity. METHODS: The computer self efficacy scale was modified to make it applicable for clinical settings (for use with older people or people with disabilities using everyday technologies). The modified scale was piloted, then tested with patients in an Australian inpatient rehabilitation setting (n = 88) to determine the internal consistency using Cronbach's alpha coefficient. Construct validity was assessed by correlation of the scale with age and technology use. Factor analysis using principal components analysis was undertaken to identify important constructs within the scale. RESULTS: The modified computer self efficacy scale demonstrated high internal consistency with a standardised alpha coefficient of 0.94. Two constructs within the scale were apparent; using the technology alone, and using the technology with the support of others. Scores on the scale were correlated with age and frequency of use of some technologies thereby supporting construct validity. CONCLUSIONS: The modified computer self efficacy scale has demonstrated reliability and construct validity for measuring the self efficacy of older people or people with disabilities when using everyday technologies. This tool has the potential to assist clinicians in identifying older patients who may be more open to using new technologies to maintain independence.
Authors: Fuad Abujarad; Davis Ulrich; Chelsea Edwards; Esther Choo; Michael V Pantalon; Karen Jubanyik; James Dziura; Gail D'Onofrio; Thomas M Gill Journal: J Am Geriatr Soc Date: 2021-02-21 Impact factor: 7.538
Authors: Leanne Hassett; Maayken van den Berg; Richard I Lindley; Maria Crotty; Annie McCluskey; Hidde P van der Ploeg; Stuart T Smith; Karl Schurr; Maggie Killington; Bert Bongers; Kirsten Howard; Stephane Heritier; Leanne Togher; Maree Hackett; Daniel Treacy; Simone Dorsch; Siobhan Wong; Katharine Scrivener; Sakina Chagpar; Heather Weber; Ross Pearson; Catherine Sherrington Journal: BMJ Open Date: 2016-06-06 Impact factor: 2.692
Authors: Sarah Blanton; Patricia C Clark; Robert H Lyles; George Cotsonis; Brian D Jones; Aimee Reiss; Steven L Wolf; Sandra Dunbar Journal: Pilot Feasibility Stud Date: 2019-04-25
Authors: Leanne Hassett; Maayken van den Berg; Richard I Lindley; Maria Crotty; Annie McCluskey; Hidde P van der Ploeg; Stuart T Smith; Karl Schurr; Kirsten Howard; Maree L Hackett; Maggie Killington; Bert Bongers; Leanne Togher; Daniel Treacy; Simone Dorsch; Siobhan Wong; Katharine Scrivener; Sakina Chagpar; Heather Weber; Marina Pinheiro; Stephane Heritier; Catherine Sherrington Journal: PLoS Med Date: 2020-02-18 Impact factor: 11.069