1/f noise and effort on implicit measures of bias. Journal Article uri icon



  • 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.

publication date

  • January 1, 2008

has subject area

has restriction

  • closed

Date in CU Experts

  • October 14, 2013 3:36 AM

Full Author List

  • Correll J

author count

  • 1

citation count

  • 8

Other Profiles

International Standard Serial Number (ISSN)

  • 0022-3514

Electronic International Standard Serial Number (EISSN)

  • 1939-1315

Additional Document Info

start page

  • 48

end page

  • 59


  • 94


  • 1