Six solutions for more reliable infant research

  title={Six solutions for more reliable infant research},
  author={Krista Byers‐Heinlein and Christina Bergmann and Victoria Savalei},
  journal={Infant and Child Development},
Infant research is often underpowered, undermining the robustness and replicability of our findings. Improving the reliability of infant measures offers a solution for increasing statistical power independent of sample size. Here, we discuss two senses of the term reliability in the context of infant research: reliable (large) effects and reliable measures. We examine the circumstances under which effects are strongest and measures are most reliable, and provide simulations to illustrate the… 
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A solution is illustrated by showing how to increase power in visual preference tasks by increasing the amount of data obtained from each infant, and how more powerful research designs can be achieved by including more trials per infant.
Sample size, statistical power, and false conclusions in infant looking-time research.
  • L. Oakes
  • Medicine
    Infancy : the official journal of the International Society on Infant Studies
  • 2017
Examining the effect of sample size on statistical power and the conclusions drawn from infant looking time research revealed that despite clear results with the original large samples, the results with smaller subsamples were highly variable, yielding both false positive and false negative outcomes.
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