Statistics for Research - L28 - Analyze, Interpret, & Report Independent Samples T Test using R

Поделиться
HTML-код
  • Опубликовано: 21 авг 2024
  • In this tutorial titled "Independent Samples T Test using R ", we'll walk you through the process of conducting an Independent Samples T Test using R Language. The session covers the step-by-step procedure, interpretation of results, and provide practical examples to help you master this statistical analysis technique. The session will help the scholars to
    Learn how to read your data file, extract variables of interest, and split your data into two groups, essential steps in setting up your analysis.
    Discover how to assess the homogeneity of variance using Levene's Test and why it's crucial for selecting the appropriate t-test.
    Run an independent samples t-test assuming equal variances, and interpreting the results.
    Explore how to run a directional hypothesis t-test when you have a specific research question in mind, and learn how to interpret the directional results.
    Calculate the effect size (Cohen's d) to gain insights into the practical significance of your findings.
    Learn how to report your independent samples t-test results effectively, including mean values, standard deviations, p-values, and effect sizes.
    By the end of this tutorial, the scholars will have the knowledge and skills to conduct, interpret, and report independent samples t-tests using R.
    Contents
    00:02 Introduction to data preparation and using the CSV function to read data.
    01:00 Extracting the dependent variable (Vision) and grouping variable (Gender).
    01:43 Splitting data into male and female groups and calculating standard deviations.
    02:36 Checking the assumption of equal variance using Levene's test.
    03:18 Executing the t-test with equal variance assumption and effect size calculation.
    04:50 Running the t-test with unequal variance assumption and directional hypothesis.
    06:05 Demonstrating how to report and interpret the t-test results in R.
    08:13 Explaining and calculating Cohen's d effect size.
    09:41 Concluding Remarks
    Do you have any questions, tips, or ideas? Let me know in the comments section below!
    About:
    Research With Fawad is a Research initiative to help young and early career research learn the research tools and techniques. It is an initiative to share research knowledge and help researchers learn to research the easy way.
    Learn more about Research With Fawad at www.researchwi....
    #Research` #R #TTest #IndependentSamplesTTest

Комментарии •