1998
DOI: 10.1037/0096-3445.127.3.318
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Correcting for measurement error in detecting unconscious cognition: Comment on Draine and Greenwald (1998).

Abstract: (1995) have proposed a regression method for detecting unconscious cognition in experiments that obtain measures of indirect and direct effects of stimuli with suspected unconscious effects. Their indirect-on-direct-measure regression approach can produce misleading evidence for indirect effects in the absence of direct effects when the direct-effect measure has typical measurement error. This article describes an errors-in-variables variant of the regression method that corrects for error in the direct-effect… Show more

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Cited by 25 publications
(27 citation statements)
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References 8 publications
(26 reference statements)
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“…For present purposes, intercepts reliably above zero are evidence that ERPs discriminated on the basis of category, when the behavioral response did not. Dosher (1998) and Klauer, Greenwald, and Draine (1998) have raised a different point concerning the measurements. A theoretical assumption underlying regression calculations is that the predictor is without measurement error.…”
Section: Regression Analysismentioning
confidence: 99%
“…For present purposes, intercepts reliably above zero are evidence that ERPs discriminated on the basis of category, when the behavioral response did not. Dosher (1998) and Klauer, Greenwald, and Draine (1998) have raised a different point concerning the measurements. A theoretical assumption underlying regression calculations is that the predictor is without measurement error.…”
Section: Regression Analysismentioning
confidence: 99%
“…Such slope "flattening" will artifactually elevate the y-intercept when the true underlying slope and direct mean are positive, possibly producing spurious results. Although Klauer, Greenwald, and Draine (1998) have proposed corrective procedures, these modifications may not be sufficient (see Dosher, 1998;and especially Miller, 2000; but see also Klauer & Greenwald, 2000).…”
Section: The Regression Approach To the Null Sensitivity Problemmentioning
confidence: 99%
“…However, these weak positive intercepts could also have been statistical artifacts resulting from measurement error in the regression predictor. This artifact possibility can be evaluated with an errors in variables method (Klauer, Draine, & Greenwald, 1998; Klauer, Greenwald, & Draine, 1998) that adjusts estimates of both regression slope and intercept for measurement error in the predictor. Before this adjustment, the four intercepts were 0.158, 0.088, 0.053, and 0.045).…”
Section: Series 2 (Conscious Conditioning) Methods and Resultsmentioning
confidence: 99%
“…Intuitively, this simulation feature maps onto an assumption that (a) when true visibility or true contingency awareness is totally absent, observed visibility or awareness scores are purely error variance, and (b) this error component should decrease to zero as these latent measures achieve maximum values. The first ten data sets produced by the simulation script that incorporated these features were saved for analyses that are described in this article; these analyses used the errors-in-variables adjustment method described by Klauer, Draine, and Greenwald (1998) and Klauer, Greenwald, and Draine (1998).…”
Section: General Methodsmentioning
confidence: 99%