Structured Abstract ------------------- **Background.** IUIPC and the short form IUIPC-10 [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 $N_\mathsf{A} = 226$ and $N_\mathsf{B} = 402$ 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 $N_\mathsf{V} = 433$ 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 cross-validation 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. [1] N. K. Malhotra, S. S. Kim, and J. Agarwal. Internet users' information privacy concerns (IUIPC): The construct, the scale, and a causal model. *Information systems research*, 15(4):336–355, 2004.