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• W1977162759 abstract "Phenomena that vary over time can often be represented as a complex waveform. Fourier analysis decomposes this complex wave into a set of sinusoidal component waves. In some phenomena, the amplitude of these waves varies in inverse relation to frequency. This pattern has been called 1/f noise and, unlike white noise, it reflects nonrandom variation. Latencies in simple computer tasks typically reveal 1/f noise, but the magnitude of the noise decreases as tasks become more challenging. The current work hypothesizes a correspondence between 1/f noise and effort, leading to the prediction that increasing effort will reduce 1/f noise. In 2 studies, the author examined the relationship between an individual's attempts to avoid bias (measured in Study 1, manipulated in Study 2) and 1/f noise in implicit measures of stereotyping and prejudice. In each study, participants who made an effort to modulate the use of racial information showed less 1/f noise than did participants who made less effort. The potential value of this analytic approach to social psychology is discussed." @default.
• W1977162759 created "2016-06-24" @default.
• W1977162759 creator A5030261011 @default.
• W1977162759 date "2008-01-01" @default.
• W1977162759 modified "2023-10-12" @default.
• W1977162759 title "1/f noise and effort on implicit measures of bias." @default.
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• W1977162759 doi "https://doi.org/10.1037/0022-3514.94.1.48" @default.
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