Randomized controlled trial examining expectancy effects on the accuracy of weight measurement

Clin Obes. 2015 Feb;5(1):38-41. doi: 10.1111/cob.12083. Epub 2014 Dec 22.

Abstract

Background: Researchers and participants' expectations can influence treatment response. Less is known about the effects of researchers' expectations on the accuracy of data collection in the context of a weight loss trial.

Methods: Student raters (N = 58; age = 20.1 ± 2.3 years) were recruited to weigh individuals who they thought were completing a 12-month weight loss trial, although these 'participants' were actually standardized patients (SPs) playing these roles. Prior to data collection, student raters were provided information suggesting that the tested treatment had been effective. Each student rater received a list of 9-10 'participants' to weigh. While the list identified each person as 'treatment' or 'control', this assignment was at random, which allowed us to examine the effects of non-blinding and expectancy manipulation on weight measurement accuracy. We hypothesized that raters would record the weights of 'treatment participants' as lower than those of 'control participants'.

Results: Contrary to our hypothesis, raters recorded weights that were 0.293 kg heavier when weighing 'treatment' vs. 'control' SPs, although this difference was not significant (P = 0.175).

Conclusions: This pilot study found no evidence that manipulating expectancies about treatment efficacy or not blinding raters biased measurements. Future work should examine other biases which may be created by not blinding research staff who implement weight loss trials as well as the participants in those trials.

Keywords: Expectancy effect; measurement; randomized controlled trial; weight.

Publication types

  • Randomized Controlled Trial
  • Research Support, N.I.H., Extramural

MeSH terms

  • Data Collection / methods*
  • Double-Blind Method
  • Female
  • Humans
  • Male
  • Pilot Projects
  • Reproducibility of Results
  • Research Subjects
  • Selection Bias
  • Weight Loss*
  • Weight Reduction Programs*