Problem 5 of Quanty
Problem 5 of Quanty -
Popular in Quantitative Research Methods Notes
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This 1 page Class Notes was uploaded by Notetaker Notetaker on Wednesday September 2, 2015. The Class Notes belongs to - at Republic Polytechnic taught by Jocelin in Summer 2015. Since its upload, it has received 40 views. For similar materials see Quantitative Research Methods Notes in Behavioral Sciences at Republic Polytechnic.
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Date Created: 09/02/15
Missing Response amp Coding Saturday 28 February 2 15 61 PM Types of Omission gt Random Missing value y depends on x But not to y Eg Respondents in illegal occupations likepiracy makers will not or less likely report their incomeaddress gt Completely random Missing valuey neither affectsdepends on xy Eg Respondents completed all qns except for 1human error gt Nonrandom the prob Of a missing value depends on the variable that39s missing Eg Respondents with high income may not reportreveal incomegt deliberate Handling Omission 1deally the respondent should be contacted so that the missing data can be obtained 2Remove respondents who have missing responses to any of the data The most conservative option Will reduce sample size and power of analysis 3Estimate the missing value by using the mean value for all other respondents Artificially reduces the spread of responses and the correlation with responses to other questions Only suitable for intervalratio data 4Estimate the missing value using linear regressiony mX c Cannot be used if relationships do not exist between responses to the questions and other questions Only suitable for intervalratio data Will reduce bias caused by nonrandom errors 5Leave the missing value as a blank and exclude it from computations Similar to the first option but will allow for some analysis to be done P05 Page 1