Introduction to ANALYSIS Data Editing. Your survey is done…. Now what?

Introduction to ANALYSIS

Data Editing

Your survey is done….

Now what?

There are two things to do before going any further.

A. Edit your forms (surveys)

A.Edit your forms (surveys)B.Compose

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Look for bias.

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Lack of cooperationThe “Screw You Effect”

“The negative-participant role (also known as the screw-you effect) in which the participant attempts to discern the experimenter's hypotheses, but only in order to destroy the credibility of the study.”

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Problematic responsesNon-responsesIllegible responses

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Problematic responsesNon-responsesIllegible responsesIllogical responses

10. If you served in the military, in which conflict did you serve?a. WWII b) Korea c) Viet Nam d) Gulf War e) Iraq/Afghanistan

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Problematic responsesNon-responsesIllegible responsesIllogical responses

10. If you served in the military, in which conflict did you serve?a. WWII b) Korea c) Viet Nam d) Gulf War e) Iraq/Afghanistan

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Problematic responsesNon-responsesIllegible responsesIllogical responses

10. If you served in the military, in which conflict did you serve?a.WWII b) Korea c) Viet Nam d) Gulf War e) Iraq/Afghanistan

30. Your age? _______

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Problematic responsesNon-responsesIllegible responsesIllogical responses

10. If you served in the military, in which conflict did you serve?a.WWII b) Korea c) Viet Nam d) Gulf War e) Iraq/Afghanistan

30. Your age? __36___

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Problematic responsesNon-responses(could be a case, variable, or data point (value)

1. Ignore them2. Eliminate case3. Input a value

a. random numberb. the meanc. a value calculated (usually by regression)

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Problematic responsesIllegible responses

1. Guess and input a value2. Eliminate case3. Use other answers to estimate answer

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Problematic responsesIllogical responses

1. Eliminate case2. Use other answers to estimate answer

Create a codebook:

Create a codebook:

1. Case code (on each form)2. Variable codes and labels3. Scale of variables4. Open-ended questions (?)

Now input your data!

Clean up you data.

1. Print out a frequency table for each variable.

Clean up you data.

1. Print out a frequency table for each variable.2. Look for:

a. wrong or impossible numbersb. Outliers (deviance)c. Missing data

Clean up you data.

1. Print out a frequency table for each variable.2. Look for:

a. wrong or impossible numbersb. Outliers (deviance)c. Missing data

3. Look at cross-tabs for relationships

Work out the stats for your project.

Compose!!

Work out the stats for your project.

Compose!!

Whether you are this guy…

Work out the stats for your project.

Compose!!

Or this guy…