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EN
Changing a problem’s representation is a crucial process when solving insight problems. Recently, Laukkonen and Tangen (2017) found that observing ambiguous figures such as a Necker Cube before solving problems can increase insight frequency. In our research, we extended their procedure by including measures of feelings of insight (e.g., confidence and pleasure). This approach allowed us to test the replicability of relationships between perceptual switching and insight frequency in terms of both accuracy of problem solutions and insight phenomenology. The research took the form of two studies using two different samples (NA = 68 and NB = 198) using online platforms. Our results consistently showed no effect of prior Necker cube perception on accuracy. However, we found a significant difference in self-reported insight (1 - non-aha! experience to 5 – a very strong aha! experience) in our Sample B study. The results suggest the possibility that viewing ambiguous figures may not have a triggering effect on insight problem-solving performance but that it may trigger stronger insight experiences when solving insight problems.
EN
We conducted pre-registered replications of 15 effects in the field of judgment and decision making (JDM). We aimed to test the generalizability of different classical and modern JDM effects, including, among others: less-is- better, anchoring, and framing to different languages, cultures, or current situations (COVID-19 pandemic). Replicated studies were selected and conducted by undergraduate psychology students enrolled in a decision-making course. Two hundred and two adult volunteers completed an online battery of replicated studies. With a classical significance criterion (p < .05), seven effects were successfully replicated (47%), five partially replicated (33%), and three did not replicate (20%). Even though research materials differed from the originals in several ways, the replication rate in our project is slightly above earlier reported findings in similar replication projects. We discuss factors that may underlie replication results (success vs. failure). We also stress the role of open science practices such as open data, open research materials, pre-registration, and registered reports in improving the replicability of results in the JDM field.
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