Christopher N. Burrows

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OBJECTIVE This project considered how inattention to left-out variable error and measurement correspondence in the assessment of explicit measures can result in upwardly biased estimates of the predictive utility of implicit measures designed to predict health behaviors. METHOD A pilot study (n = 96) used a cross-sectional design to predict beer(More)
Psychometricians strive to eliminate random error from their psychological inventories. When random error affecting tests is diminished, tests more accurately characterize people on the psychological dimension of interest. We document an unusual property of the scoring algorithm for a measure used to assess a wide range of psychological states. The(More)
Attributes of words can be known even when the words are not currently retrievable. Although repeatedly demonstrated for semantic and contextual dimensions, the evidence is ambiguous for structural characteristics. The present research demonstrates significant above-chance first-letter knowledge across four ordinal levels of retrieval confidence for(More)
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