Functional Assessment of Currently Employed Technology Scale (FACETS): Reliability and Validity

Abstract

Introduction: Health protocols have not included technology as a specific area of assessment or treatment. The Functional Assessment of Comfort Employing Technology Scale (FACETS) was designed to do so. FACETS is a 10 item questionnaire assessing 5 functional domains. The current study was conducted to establish validity & reliability for FACETS.

Methods: Using 423 pre-existing deidentified FACETS forms from clinical records, analyses were conducted including Cronbach’s alpha coefficient, McDonald’s omega, confidence intervals for alpha and omega, multiple group factor analysis, Fleming's index of scale fit, and differential item (domain) function (DIF). 

Results: Internal consistency and factor validity for the 10 FACETS items and intra-domain correlations were high. Fleming’s factor scale fit index indicated excellent fit. All but one domain contains sufficient unique information to produce differential item functioning.

Discussion and Conclusions: FACETS demonstrated high internal consistency reliability, strong general factor validity, and strong factor validity for the five domains.