Significance of Confidence level
Confidence level refers to a statistical measure used to convey reliability in hypothesis testing and results analysis. It indicates the degree of certainty about findings, often set at 95% in studies to ensure accuracy, particularly in educational and medical contexts. Additionally, confidence level can reflect an individual's self-assurance in performing tasks, which enhances effectiveness after therapy. In research, it serves to assess the reliability of sample size calculations and the overall assurance dental students have in their practical skills.
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The concept of Confidence level in scientific sources
Confidence level is a statistical measure indicating researchers' certainty in sample size calculations, set at 95% for this study, and reflects the degree of certainty in analysis results related to the educational intervention.
From: The Malaysian Journal of Medical Sciences
(1) The confidence level is set at 95% to assess the statistical significance of the findings, indicating the probability that the results reflect a true effect rather than chance.[1] (2) A confidence level is the probability that a statistical result is within a certain range, often set at 95%.[2] (3) This is the probability that the results of a study accurately reflect the true population value, often set at a specific percentage.[3] (4) A statistical term describing the probability that a characteristic represents the population, used here for determining sample size for the study.[4] (5) A measurement of an individual's belief in their ability to perform an activity or task, essential for understanding self-efficacy.[5]