TY - JOUR
T1 - Preregistration in practice
T2 - A comparison of preregistered and non-preregistered studies in psychology
AU - van den Akker, O.R.
AU - van Assen, M.A.L.M.
AU - Bakker, M.
AU - Elsherif, M.
AU - Wong, T.K.
AU - Wicherts, J.M.
PY - 2023
Y1 - 2023
N2 - Preregistration has gained traction as one of the most promising solutions to improve the replicability of scientific effects. In this project, we compared 193 psychology studies that earned a Preregistration Challenge prize or preregistration badge to 193 related studies that were not preregistered. In contrast to our theoretical expectations and prior research, we did not find that preregistered studies had a lower proportion of positive results (Hypothesis 1), smaller effect sizes (Hypothesis 2), or fewer statistical errors (Hypothesis 3) than non-preregistered studies. Supporting our Hypotheses 4 and 5, we found that preregistered studies more often contained power analyses and typically had larger sample sizes than non-preregistered studies. Finally, concerns about the publishability and impact of preregistered studies seem unwarranted, as preregistered studies did not take longer to publish and scored better on several impact measures. Overall, our data indicate that preregistration has beneficial effects in the realm of statistical power and impact, but we did not find robust evidence that preregistration prevents p-hacking and HARKing (Hypothesizing After the Results are Known).
AB - Preregistration has gained traction as one of the most promising solutions to improve the replicability of scientific effects. In this project, we compared 193 psychology studies that earned a Preregistration Challenge prize or preregistration badge to 193 related studies that were not preregistered. In contrast to our theoretical expectations and prior research, we did not find that preregistered studies had a lower proportion of positive results (Hypothesis 1), smaller effect sizes (Hypothesis 2), or fewer statistical errors (Hypothesis 3) than non-preregistered studies. Supporting our Hypotheses 4 and 5, we found that preregistered studies more often contained power analyses and typically had larger sample sizes than non-preregistered studies. Finally, concerns about the publishability and impact of preregistered studies seem unwarranted, as preregistered studies did not take longer to publish and scored better on several impact measures. Overall, our data indicate that preregistration has beneficial effects in the realm of statistical power and impact, but we did not find robust evidence that preregistration prevents p-hacking and HARKing (Hypothesizing After the Results are Known).
KW - Effect size
KW - HARKing
KW - P-hacking
KW - Positive results
KW - Preregistration
KW - Research impact
UR - http://www.scopus.com/inward/record.url?scp=85176547257&partnerID=8YFLogxK
U2 - 10.3758/s13428-023-02277-0
DO - 10.3758/s13428-023-02277-0
M3 - Article
SN - 1554-3528
JO - Behavior Research Methods
JF - Behavior Research Methods
ER -