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Registration: Revisiting the Factor Structure of IUIPC-10

Lookup NU author(s): Professor Thomas Gross



This is the final published version of a report that has been published in its final definitive form by Newcastle University, 2020.

For re-use rights please refer to the publisher's terms and conditions.


Background. IUIPC and the short form IUIPC10 [1] have been frequently used in studies to measure user’s privacy concern. Even though IUIPC has already been a refinement of prior scales, it is missing a confirmative analysis of its factor structure. Aim. We evaluate the IUIPC-10 factor structure, aiming at either confirming its structure or disproving it while proposing refinements. Method. We use three independent samples to evaluate the factor structure of IUIPC-10 in a covariance-based confirmatory factor analysis. The first two samples A and B with a sample size of NA = 226 and NB = 402 are used to evaluate the factor structure and diagnose problems, where Sample B is designated as the main sample for CFA. A third Sample V with NV = 433 is retained as validation sample to test the properties of the confirmed model and proposed improvements. We will test for reliability, predominately internal consistency, global and local fit, considering the residuals, as well as convergent and discriminant validity. Anticipated Results. We anticipate a systematic evaluation of the original IUIPC-10 questionnaire with a wide range of metrics as well as a crossvalidation on an independent sample. Anticipated Conclusions. We anticipate to find either a confirmation for a questionnaire frequently used in the field, or offer improvements over the existing factor structure.

Publication metadata

Author(s): Gross T

Publication type: Report

Publication status: Published

Series Title: School of Computing Technical Report Series

Year: 2020

Pages: 9

Print publication date: 01/04/2020

Acceptance date: 01/01/1900

Report Number: 1541

Institution: Newcastle University

Place Published: Newcastle upon Tyne