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What other research did an initial exploration about learning with only 20 participants? 


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An initial exploration about learning with only 20 participants was conducted in the study by Kuznetsov, Huber, and Sternad. They examined how participants explored task solutions in a virtual throwing task, where one group had an easy target location and the other a difficult one. The study hypothesized that participants would initially explore the task result space and then fine-tune their solutions over practice. Results showed that both groups found an initial task solution region, but only the easy target group increased variability to continue exploring the result space. This research highlighted the role of movement variability in skill acquisition and the importance of exploring different solutions as participants become more skilled.

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Open accessProceedings ArticleDOI
Yu Wang, Ming-Sheng Chen, Xiao Han, Fei-Na Yu 
14 Aug 2015
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What type of research has no participants?4 answersResearch that involves non-participation typically refers to studies where individuals decline to participate or do not actively engage in the research process. Various studies have highlighted the impact of non-participation on research outcomes. For instance, studies have shown that non-participants in clinical trials may exhibit less favorable outcomes compared to participants, affecting the overall sample representation. In other cases, non-participation bias can lead to skewed results, especially in studies involving subjects with severe mental illnesses who are more likely to be non-participants, causing selection bias. Additionally, non-participation in telehealth trials can stem from barriers such as technological challenges and limited disease understanding, influencing the success of telehealth initiatives.
Why is 30 participants the minimum for a study?5 answersThe minimum number of 30 participants for a study is crucial due to various factors affecting research outcomes. Studies have shown that the sample size significantly impacts research results, with reductions leading to decreased correlations, increased errors, and variability. Proper sample size calculation is essential for the internal validity of a study, considering factors like significance level, study power, effect size, and precision. In behavioral neuroscience, reducing sample size affects research outcomes, emphasizing the importance of adequate participant numbers for reliable results. Additionally, in experiments involving map users, the number of participants is determined based on the test's purpose, highlighting the variability in required sample sizes depending on the study's characteristics. Therefore, a minimum of 30 participants ensures statistical power, reliability, and validity in research across various fields.
Why choose 30 participants for a study?5 answersChoosing 30 participants for a study can be influenced by various factors. For instance, in the 30/30 Program study, the program involved 30 at-risk students who were mentored for 30 months to improve academic outcomes. Similarly, the U.S. POINTER study recruited over 30% of its participants from underrepresented communities to ensure diversity and inclusivity in the research. The SoliMix study aimed to explore the impact of baseline participant characteristics on study outcomes, which could require a specific number of participants for meaningful analysis. Therefore, selecting 30 participants may be strategic based on the study's objectives, resources, and the need for statistically significant results within the given context.
Is 20 participants in learning web development sufficient?5 answersBased on the research findings, the adequacy of 20 participants in learning web development can vary depending on the specific usability evaluation method employed. While there is no fixed number of participants to identify all usability issues, the rule of 16 users is considered valid in user testing. In contrast, three evaluators are adequate to uncover 91% of usability problems in the Domain Specific-to-context Inspection (DSI) method. Additionally, a study introducing a system that learns participants of given scripts outperformed baselines, showcasing the significance of participant selection in web experiments. Therefore, when considering the effectiveness of participant numbers in web development learning, it is essential to account for the specific evaluation method and the nature of the study to ensure comprehensive insights and reliable outcomes.
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