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Aug 7, 2017 · These considerations, informal as they are, make we wonder whether tightening the noose on significance testing is a productive idea. The value analysis I have attempted here is only illustrative.
Apr 10, 2014 · False–positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science, 22, 1359–1366. Psychological Science, 22 ...
Oct 13, 2023 · In statistical hypothesis testing, you reject the null hypothesis when the p-value is less than or equal to the significance level (α) you set before conducting your test. The significance level is the probability of rejecting the null hypothesis when it is true. Commonly used significance levels are 0.01, 0.05, and 0.10.
Sep 14, 2024 · The AP Psychology curriculum often includes examples of statistical significance in various research contexts. For instance, students might encounter studies on the effectiveness of different learning techniques, where statistical tests are used to determine if one method significantly outperforms another.
Aug 16, 2010 · In psychology we usually look for p values lower than .05, or 5%. That's what you should look out for when reading journal papers. If there's less than a 5% chance of getting the result if the null hypothesis were true, a psychologist will be happy with that, and the result is more likely to get published. Significance testing is not perfect ...
Mar 8, 2021 · Statistical (Inferential) Testing March 8, 2021 – Paper 2 Psychology in Context | Research Methods Back to Paper 2 – Research Methods Inferential Statistics We have all heard the phrase ‘statistical tests’ for example in a newspaper report that claims ‘statistical tests show that women are better at reading maps than men’. If we wanted […]
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Significant results can still have minimal real-world impact, and non-significant results may be due to insufficient sample size or other limitations. Application. Statistical significance is commonly used across various fields, including psychology, medicine, economics, and social sciences.
