Effect size and statistical significance

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Question

Critique of statistical validity must address two main points, (1) effect size and (2) statistical significance.

1. Effect Size: Whether/How do they report how large their effect was or how much variability was there? For example was it an R-value? Was it a Beta in a regression table? Was it a difference between means? Was it a percentage? Do they show a scatterplot or bar graph with some indication of variability (such as standard deviations or confidence intervals) and can we tell whether there are there outliers? See if you can evaluate how strong the result is in "real world" terms, like an increase in IQ points or a weight loss of some number of pounds, or a reaction time in seconds. How strong is the effect in your opinion, explain your reasoning?

2. Statistical Significance: Does their report include an indication of statistical significance? E.g. Do they report a p-value? Should they have reported a p-value for their type of claim?

Reference no: EM133979338

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