Appsolutely secure? Psychometric properties of the German version of an app information privacy concerns measure during COVID-19.

ABSTRACT:

Introduction

Privacy concerns are an important barrier to adoption and continued use of digital technologies, particularly in the health sector. With the introduction of mobile health applications (mHealth apps), the construct of app information privacy concerns has received increased attention. However, few validated measures exist to capture said concerns in population samples, although they can help to improve public health efforts.

Methods

Using a cross-sectional survey of German adults (mean age = 35.62; 63.5% female), this study examined psychometric properties of the app information privacy concerns scale (AIPC). Analyses comprised confirmatory factor analysis, factorial validity (exploratory factor analysis), internal consistency, convergent validity (i.e., correlati

SUBMITTER: Tomczyk S 

PROVIDER: S-EPMC9355691 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature