Validity and Reliability of the Scale Internet Users' Information Privacy Concern (IUIPC) [Extended Version]
This research addresses a critical issue for researchers and practitioners who rely on the IUIPC-10 scale to evaluate human factors in Privacy-Enhancing Technologies (PETs) and investigate the privacy paradox, as the original scale's validity and reliability are called into question.
This paper systematically analyzed the construct validity and reliability of the IUIPC-10 scale, a widely used measure of internet users' information privacy concerns. They found that IUIPC-10 consistently failed construct validity and reliability evaluations, particularly regarding the unidimensionality of its sub-scales. The authors proposed a respecified instrument, IUIPC-8, which demonstrated statistically significantly better model fit and improved psychometric properties.
Internet Users' Information Privacy Concerns (IUIPC-10) is one of the most endorsed privacy concern scales. It is widely used in the evaluation of human factors of PETs and the investigation of the privacy paradox. Even though its predecessor Concern For Information Privacy (CFIP) has been evaluated independently and the instrument itself seen some scrutiny, we are still missing a dedicated confirmation of IUIPC-10, itself. We aim at closing this gap by systematically analyzing IUIPC's construct validity and reliability. We obtained three mutually independent samples with a total of $N = 1031$ participants. We conducted a confirmatory factor analysis (CFA) on our main sample. Having found weaknesses, we established further factor analyses to assert the dimensionality of IUIPC-10. We proposed a respecified instrument IUIPC-8 with improved psychometric properties. Finally, we validated our findings on a validation sample. While we could confirm the overall three-dimensionality of IUIPC-10, we found that IUIPC-10 consistently failed construct validity and reliability evaluations, calling into question the unidimensionality of its sub-scales Awareness and Control. Our respecified scale IUIPC-8 offers a statistically significantly better model and outperforms IUIPC-10's construct validity and reliability. The disconfirming evidence on the construct validity raises doubts how well IUIPC-10 measures the latent variable information privacy concern. The sub-par reliability could yield spurious and erratic results as well as attenuate relations with other latent variables, such as behavior. Thereby, the instrument could confound studies of human factors of PETs or the privacy paradox, in general.