Reasons for screening data, Advanced Statistics

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Reasons for screening data

Garbage in-garbage out
Missing data

a. Amount of missing data is less crucial than the pattern of it.

If randomly scattered not a problem/ nonrandom patterns limit the use of data (can't generalize results)

Extreme values or outliers - cases with extreme values on one or a combination of variables that can potentially distort the results of the analysis. Ascertain that the data fulfills the basic assumptions for statistical techniques:

a. Data being normally distributed
b. Linear relationship between variables Homoscedasticity

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