SSCI 2900U Lecture Notes - Lecture 12: Codebook, Univariate Analysis, Barcode
8 Dec 2016
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Slide 4: before analysis coding data (1), entering data (2), cleaning data (3) Slide 5: coding data every answer has to be converted into a number (codebook) ex on how a codebook looks like, conversion from interview schedule to codebook. Slide 6: entering data direct entry (automatic entry of data) vs. manual entry (manually enter each piece of data) Slide 8: 1st in the codebook, allow participants to input the answers and manually enter at the end, 2nd scantron type option, 3rd scan the barcode. Slide 9: cleaning data possible code cleaning: correct all responses inputted with words. Contingency cleaning: look at 2 variables together and compare the responses, ex. Slide 10: univariate analysis statistics about one variable. Slide 11: frequency distributions table that breaks down the variable and its attributes. Slide 14: mean add and divide by 10 = 21. Median rate them from lowest to highest, in an even # the midpoint falls between 2 numbers.
