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A Multicollinearity and Measurement Error Statistical Blind Spot: Correcting for Excessive False Positives in Regression and PLS.

, , and . MIS Q., 41 (3): 667-684 (2017)

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Comparing Regression, PLS, and LISREL Using a Monte Carlo Simulation., , and . AMCIS, page 371. Association for Information Systems, (2003)A Dangerous Blind Spot in IS Research: False Positives Due to Multicollinearity Combined With Measurement Error., , and . AMCIS, Association for Information Systems, (2011)Does PLS Have Advantages for Small Sample Size or Non-Normal Data?, , and . MIS Q., 36 (3): 891-1001 (2012)A Comparison of Pairs, Triads and Quads in Multi-Attribute Decision Making., , and . Int. J. Strateg. Decis. Sci., 1 (4): 1-24 (2010)Why You Shouldn't Use PLS: Four Reasons to Be Uneasy about Using PLS in Analyzing Path Models., , and . HICSS, page 4739-4748. IEEE Computer Society, (2013)Selective Status Reporting in Information Systems Projects: A Dyadic-Level Investigation., , and . MIS Q., 33 (4): 785-810 (2009)A Multicollinearity and Measurement Error Statistical Blind Spot: Correcting for Excessive False Positives in Regression and PLS., , and . MIS Q., 41 (3): 667-684 (2017)PLS: New Directions, New Challenges, and New Understandings., , , and . AMCIS, Association for Information Systems, (2012)The Linkage Between Reporting Quality and Performance in Information Systems Projects., , and . ICIS, Association for Information Systems, (2005)PLS Pluses and Minuses_x000D_ In Path Estimation Accuracy., , and . AMCIS, Association for Information Systems, (2015)