Data peeking: a quantitative and qualitative exploration of the use of interim analysis

  • Mandy Woelk ScienceWorks, Student Research Conference 2016
  • Esther Klinkenberg

Abstract

Data peeking, quitting data collection early or adding more participants at the end, offers the advantage of saving time and money. However, performing an interim analysis without correction leads to a Type-I error inflation. Using alpha spending function could be used to solve this problem. In this paper, we simulated the effects of interim analysis with and without an alpha spending function on type-I error, power and expected sample size. We also offer a Bayesian perspective to interim analysis. In the last part, we discuss the use of interim analysis in psychological research using a qualitative approach.

How to Cite
WOELK, Mandy; KLINKENBERG, Esther. Data peeking: a quantitative and qualitative exploration of the use of interim analysis. Student Undergraduate Research E-journal!, [S.l.], v. 2, dec. 2016. ISSN 2468-0443. Available at: <https://journals.open.tudelft.nl/index.php/sure/article/view/1467>. Date accessed: 20 may 2019. doi: https://doi.org/10.25609/sure.v2.1467.
Published
2016-12-08