📏 Effect sizes measure the difference between two groups and can be used to evaluate the effect of a variable.
🔍 A size of 0.5 indicates a moderate difference between two groups.
🧪 Effect sizes are classified as small, medium, or large based on their values.
🔍 The importance of using effect sizes in intragroup analysis is to measure the real effect of an independent variable on the dependent variable.
📊 There are different effect size measures for parametric and non-parametric samples, such as Cohen's delta for parametric samples and Hedge's g for non-parametric samples.
🧮 A free excel calculator is available to easily calculate effect sizes for independent group analysis.
📐 We are analyzing the motor skills of preschool children from public and private schools to determine if there are differences between the two groups.
📊 Children from private schools appear to have better motor skills than children from rural schools, and this difference is statistically significant.
🔍 We are using the independent samples t-test and the effect size calculator to determine if the difference in motor skills is due to the type of school attended.
📊 The video discusses how to calculate effect sizes and provides two options for inputting values into a calculator.
🔎 The size of the effect for the type of school was determined to be medium, indicating that the difference in motor skills between rural and private school children is influenced by the type of school.
❓ When effect size values are negative, it is due to the way data is entered, and it only evaluates the difference in standard deviation between groups.
📊 The video discusses using the t-test to compare means of related samples and determine if there are statistically significant differences.
🔄 The video demonstrates analyzing longitudinal measurements to understand the development of motor skills over time.
📐 The video explains how to calculate effect sizes using a calculator in SPSS when comparing related samples.
🔍 Understanding effect sizes and interpreting the results of independent samples.
💡 The size of the effect is moderate, indicating that age has a moderate effect on motor skills in children.
📝 Reporting the effect sizes alongside test results for greater validity in research.
📊 The video discusses the importance of effect sizes in analyzing the effectiveness of intervention programs.
🧪 Effect sizes measure the magnitude of a difference between groups and are used in pre-test and post-test experiments.
💻 The video provides a step-by-step guide on calculating effect sizes using statistical software.
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