A Dangerous Blind Spot in IS Research: False Positives Due to Multicollinearity Combined With Measurement Error

机译：IS研究中的一个危险盲区：多重共线性和测量误差导致的误报

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Econometrics textbooks generally conclude that in regression, because the calculation of path estimate variances includes a variance inflation factor (VIF) that reflects correlations between "independent" constructs, multicollinearity should not cause false positives except in extreme cases. However, textbook treatments of multicollinearity assume perfect measurement -rare in behavioral research. VIF is based on apparent correlations between constructs — always less than actual correlations when measurement error exists. A brief review of recent articles in the MIS Quarterly suggests that the conditions for excessive false positives are present in published research. In this paper we show (analytically and with a series of Monte Carlo simulations) that multicollinearity combined with measurement error presents greater than expected dangers from false positives in IS research when regression or PLS is used. Suggestions for how to address this situation are offered.

机译：计量经济学教科书通常得出结论，在回归分析中，由于路径估计方差的计算包括反映“独立”构造之间的相关性的方差膨胀因子（VIF），因此，除非在极端情况下，多重共线性不应引起假阳性。但是，在行为研究中，针对多重共线性的教科书处理方法假设完美的测量方法。 VIF基于构造之间的表观相关性—当存在测量误差时，它总是小于实际相关性。对《 MIS季刊》最近的文章进行的简短回顾表明，已发表的研究中存在过度假阳性的条件。在本文中，我们（通过分析和一系列蒙特卡洛模拟）表明，当使用回归分析或PLS时，多重共线性与测量误差相结合会导致IS研究中误报带来的危险大于预期。提供了有关如何解决这种情况的建议。

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《Americas conference on information systems;AMCIS 2011》|2011年|p.2312-2321|共10页
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Dale L. Goodhue; Ron Thompson; William Lewis;
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中图分类信息处理（信息加工）;
关键词
multicollinearity; measurement error; correlation; typeⅠ error; false positive; VIF; variance inflation factor; regression; pls; LISREL;

机译：多重共线性测量误差相关性Ⅰ型错误;假阳性; VIF;方差膨胀因子;回归请;利斯雷尔;

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1. A MULTICOLLINEARITY AND MEASUREMENT ERROR STATISTICAL BLIND SPOT: CORRECTING FOR EXCESSIVE FALSE POSITIVES IN REGRESSION AND PLS [J] . Goodhue Dale L., Lewis William, Thompson Ron MIS quarterly . 2017,第3期

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4. A Dangerous Blind Spot in IS Research: False Positives Due to Multicollinearity Combined With Measurement Error [C] . Dale L. Goodhue, Ron Thompson, William Lewis Americas conference on information systems . 2011

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A Dangerous Blind Spot in IS Research: False Positives Due to Multicollinearity Combined With Measurement Error

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