One sample Wilcoxon-test in R - ALL IN ONE (Requirements, Calculation, Interpretation, Reporting) скачать в хорошем качестве

One sample Wilcoxon-test in R - ALL IN ONE (Requirements, Calculation, Interpretation, Reporting)

// One sample Wilcoxon-test in R - ALL IN ONE // This video will help you in conducting a one sample Wilcoxon-test, interpreting and reporting its results. Please don't forget that an a priori sample size calculation is usually required. The video consists of the following four parts: 1) A quick overview regarding the requirements: at least ordinal scale for the test variable as well as independent observations. 2) Calculation of the one sample Wilcoxon-test in R, including the effect size r, in case of a significant difference between the sample median and a hypothesized median (i.e. population median). 3) The interpretation of the results, especially the effect size r, in case of a significant test result. 4) Reporting of the results. Be aware that research field-specific standards may apply. The reporting shown is usually sufficient. Calculating the required sample size: ============================== 🎥    • How to calculate the effect size for the o...   📚 Sources: ========== Lantz, B. (2013). The large sample size fallacy. Scandinavian journal of caring sciences, 27(2), 487-492. Basic information on the one sample Wilcoxon-test ================================== The one sample Wilcoxon-test is a statistical test that is used to determine whether there is a significant difference between the median of a sample and a known population or hypothesized median. The p-value of the one sample Wilcoxon-test is the probability that the difference between the sample median and the population median is due to chance. If the p-value is below a certain threshold (usually 0.05), you can reject the null hypothesis and conclude that there is a significant difference between your sample median and the population or hypothesized median. The one sample Wilcoxon-test is commonly used in a variety of fields, including psychology, economics, and biology, to test hypotheses about population medians. It is typically used if the requirements of normal distribution for a test variable on interval level is not met. ⏰ Timestamps: ============== 0:00 Introduction 0:15 Requirements 0:24 Example 0:34 One sample Wilcoxon-test (one and two-sided) 1:43 Interpreting the results of the one sample-test 2:40 Calculating the effect size r 3:15 Classifying r 3:47 Reporting the results If you have any questions or suggestions regarding the one sample Wilcoxon-test, please use the comment function. Thumbs up or down to decide if you found the video helpful. #statisticampc #useR #statorials Support channel? 🙌🏼 =================== Paypal donation: https://www.paypal.com/paypalme/Bjoer... Amazon affiliate link: https://amzn.to/49BqP5H