Disclosure Risk from Factor Scores

Bartlett, M. (1937). The Statistical Conception of Mental Factors. British Journal of Psychology, 28, 97-104. DOI: http://www.dx.doi.org/10.1111/j.2044-8295.1937.tb00863.x 10.1111/j.2044-8295.1937.tb00863.xSearch in Google Scholar

Bleninger, P., Drechsler, J., and Ronning, G. (2011). Remote Data Access and the Risk of Disclosure from Linear Regression. SORT, Special Issue: Privacy in Statistical Databases, 7-24.Search in Google Scholar

Brandt, M., Franconi, L., Guerke, C., Hundepool, A., Lucarelli, M., Mol, J., Ritchie, F., Seri, G., and Welpton, R. (2010). Guidelines for the Checking of Output Based on Microdata Research. Final report of ESSnet sub-group on output SDC.Search in Google Scholar

Cross-National Data Center in Luxembourg (2012a). Available at: http://www. lisdatacenter.org (accessed January 17, 2014).Search in Google Scholar

Cross-National Data Center in Luxembourg (2012b). Available at: http://www. lisdatacenter.org/data-access/lissy/best-practices/ (accessed January 17, 2014).Search in Google Scholar

Drechsler, J. (2011). Multiple Imputation in Practice - a Case Study Using a Complex German Establishment Survey. Advances in Statistical Analysis, 95, 1-26. DOI: http:// www.dx.doi.org/10.1007/s10182-010-0136-z Dwork, C. (2006). Differential Privacy. In Proceedings of the 33rd International Colloquium on Automata, Languages, and Programming (ICALP), 1-12.Search in Google Scholar

Fahrmeir, L., Hamerle, A., and Tutz, G. (1996). Multivariate Statistische Verfahren, (2nd edn). Berlin: De Gruyter.Search in Google Scholar

Fischer, G., Janik, F., Mu¨ller, D., and Schmucker, A. (2009). The IAB Establishment Panel - Things Users Should Know. Schmollers Jahrbuch - Journal of Applied Social Science Studies, 129, 133-148. DOI: http://www.dx.doi.org/10.3790/schm.129.1.13310.3790/schm.129.1.133Search in Google Scholar

Gomatam, S., Karr, A., Reiter, J., and Sanil, A. (2005). Data Dissemination and Disclosure Limitation in a World Without Microdata: A Risk-Utility Framework for Remote Access Analysis Servers. Statistical Science, 20, 163-177. DOI: http://www.dx.doi. org/10.1214/08834230500000004310.1214/088342305000000043Search in Google Scholar

Heining, J. (2009). The Research Data Centre of the German Federal Employment Agency: Data Supply and Demand Between 2004 and 2009. RatSWD working paper, 129.10.2139/ssrn.1498450Search in Google Scholar

Horst, P. (1965). Factor Analysis of Data Matrices. New York: Holt, Rinehart & Winston.Search in Google Scholar

Kaiser, H. (1958). The Varimax Criterion for Analytic Rotation in Factor Analysis. Psychometrika, 23, 3, 187-200. DOI: http://www.dx.doi.org/10.1007/BF0228923310.1007/BF02289233Search in Google Scholar

Kölling, A. (2000). The IAB-Establishment Panel. Journal of Applied Social Science Studies, 120, 291-300.Search in Google Scholar

Lucero, J., Freiman, M., Singh, L., You, J., DePersio, M., and Zayatz, L. (2011). The Microdata Analysis System at the U.S. Census Bureau. SORT, Special Issue: Privacy in Statistical Databases, 77-98. McDonald, R. and Burr, E. (1967). A Comparison of Four Methods for Constructing Factor Scores. Psychometrika, 32, 381-401. DOI: http://www.dx.doi.org/10.1007/ BF02289653Search in Google Scholar

O’Keefe, C., Sparks, R., McAullay, D., and Loong, B. (2012). Confidentialising Survival Analysis Output in a Remote Data Access System. Journal of Privacy and Confidentiality 4. Available at: http://repository.cmu.edu/jpc/vol4/iss1/6 (accessed January 17, 2014).Search in Google Scholar

O’Keefe, C.M. and Good, N.M. (2008). A Remote Analysis Server - What Does Regression Output Look Like? In Privacy in Statistical Databases, J. Domingo-Ferrer and Y. Saygin (eds), vol 5262 of Lecture Notes in Computer Science. New York: Springer, 270-283. Press, S. (2005). Applied Multivariate Analysis: Using Bayesian and Frequentist Methods of Inference, (2nd edn). New York: Dover Publications. Search in Google Scholar

Research Data Center of the National Center for Health Statistics (2012a). Available at: http://www.cdc.gov/rdc/B2AccessMod/ACs230.htm (accessed January 17, 2014).Search in Google Scholar

Research Data Center of the National Center for Health Statistics (2012b). Available at: http://www.cdc.gov/rdc/Data/B2/SASSUDAANRestrictions.pdf (accessed January 17, 2014).Search in Google Scholar

Ronning, G. and Bleninger, P. (2011). Disclosure Risk From Factor Scores. Technical Report, IAW Discussion Papers 73. Available at: http://www.iaw.edu/w/IAWPDF. php?id¼886&name¼iaw_dp_73.pdf (accessed January 17, 2014).Search in Google Scholar

Sparks, R., Carter, C., Donnelly, J., O’Keefe, C., Duncan, J., Keighley, T., and McAullay,D. (2008). Remote Access Methods for Exploratory Data Analysis and Statistical Modelling: Privacy-preserving Analytics. Comput Methods Programs Biomed, 91, 208-222. DOI: http://www.dx.doi.org/10.1016/j.cmpb.2008.04.00110.1016/j.cmpb.2008.04.00118495290Search in Google Scholar

Stock, J. and Watson, M. (2002). Forecasting Using Principal Components From a Large Number of Predictors. Journal of the American Statistical Association, 97, 1167-1179. DOI: http://www.dx.doi.org/10.1198/01621450238861896010.1198/016214502388618960Search in Google Scholar

Thomson, G. (1939). The Factorial Analysis of Human Ability. London: University of London Press.Search in Google Scholar

Thurstone, L. (1935). The Vectors of Mind. Chicago: University of Chicago Press. Search in Google Scholar