Factors Influencing Statistical Power: The Impact of Effect Size
This video discusses the factors that affect statistical power, focusing on the size of the effect.
00:00:16 The size of the effect is an important factor in statistical power. It determines the accuracy and precision of impact estimates.
📏 The size of the effect is an important factor in statistical power.
🔎 Statistical analysis aims to provide both accurate and precise estimates.
🔢 Interval estimation is used to determine the range of possible values for the impact.
00:01:21 This video discusses factors that affect statistical power, specifically the effect size. It emphasizes the importance of precise estimations and narrow confidence intervals.
📏 The precision and confidence of statistical power are influenced by the size of the effect.
🎯 The goal is to have precise estimations with accurate numbers and a narrow range of variability.
🔍 Using the analogy of photographic images, larger effects are easier to identify with precision.
00:02:24 This video discusses the factors that affect statistical power, focusing on effect size and image size. It emphasizes the easier identification of large images and the difficulty in evaluating small images.
🔍 Identifying a larger image is easier and provides a clearer evaluation of impact.
🖼️ When comparing images of the same size, it is difficult to distinguish between them.
🧩 The closer image in the previous example is the true representation.
00:03:29 The video discusses the impact of effect size on statistical power. A larger effect size allows for more accurate and reliable identification of program outcomes, reducing the need for a large sample size.
🔍 The size of the effect plays a role in statistical power.
📏 The sample size is like the zoom of an image.
💰 In microfinancing, a program with a larger effect size requires a smaller sample size.
00:04:33 Factors that affect statistical power - effect size. The sample size needed depends on the effect size. Larger effects require less sample, smaller effects require more sample.
🔍 A larger effect size requires a larger sample size or more zoom to identify the effect accurately.
⚖️ The precision needed for a given level of accuracy depends on the expected effect size.
📏 The sample size needed is influenced by the evaluator's prior knowledge and experience.
00:05:36 The video discusses the factors that affect statistical power, specifically the size of the effect. It explains that larger effects require bigger sample sizes, while smaller effects require smaller sample sizes.
📊 A bigger sample size is needed to detect larger effects in statistical power.
🔍 Smaller effects require a larger sample size for accurate detection.
⚖️ The rule of thumb is that the size of the effect determines the required sample size.
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