Reference no: EM131957107

Question: Response Guidelines: Provide a substantive contribution that advances the discussion in a meaningful way by identifying strengths of the posting, challenging assumptions, and asking clarifying questions. Your response is expected to reference the assigned readings, as well as other theoretical, empirical, or professional literature to support your views and writings. Reference your sources using standard APA guidelines.

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Data Screening

For this discussion, identify the goals of data screening. Then discuss how you can identify and remedy the following:

• Errors in data entry.

• Outliers.

• Missing data.

Data Screening

The goals of data screening include:

• To check for outliers

• To check for missing data

• To check for errors in data entry

Outliers can be spotted by either plotting a box/plot or a histogram of the variable. They can be corrected by omitting them in the analysis.
Missing data can be identified by exploring through your data set before commencing analysis. You can opt to delete the missing cases all together or fill in a value like the mean if deletion will result in sample size quality.

Errors in data entry can be spotted by either exploring your data set before analysis, counter checking with the source data or plotting a histogram and checking for inconsistent values. This error can be avoided by one been keen using data entry or using digital data capture media.

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