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respond to this post and tell if information is missing: Regression to the Mean: This phenomenon implies that extreme measures (such as very high weights
respond to this post and tell if information is missing: Regression to the Mean: This phenomenon implies that extreme measures (such as very high weights in obese youngsters) will tend to move closer to the mean on consecutive assessments. In this study, if extreme weights were measured at the outset, they may naturally revert to the mean weight during follow-up measures, regardless of the success of the intervention. To overcome regression to the mean, researchers could employ statistical techniques such as analysis of covariance (ANCOVA) to account for baseline weight disparities. This strategy enables researchers to evaluate the impact of the intervention while accounting for beginning weight variations. Spontaneous Remission: Some children's weight may temporarily improve due to circumstances unrelated to the intervention, such as growth spurts or changes in food or physical activity outside of the program. This could result in incorrectly attributing improvements to the intervention when they were actually caused by other variables. To address spontaneous remission, researchers may include a control group that does not participate in the intervention program. By comparing weight changes across the intervention and control groups, researchers can better assess the program's genuine impact. History: External events or changes in the environment that occur throughout the research period may influence the results. Changes in school policy addressing physical education
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