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Survey - Obesity in Children

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Prepare a 10-13-question survey to collect primary data regarding obesity in children.

Also, prepare an analysis of your survey. Determine if you have used the appropriate measures to research your business problem, and identify the level of measurement being used for each of your survey questions.

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Solution Summary

This solution provides assistance in preparing, structuring and analyzing 10-13 questions for a survey to collect primary data regarding obesity in children. It also considers if the questions are the appropriate measures to research your business problem, and identifies the level of measurement being used for each of your survey questions. Supplemented with two research articles in support of the questions on child obesity.

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Please see response attached (Posting 129301.doc), which is also presented below. I hope this helps and take care.

RESPONSE:

1. Using the same business problem confronting your organization you examined in your Business Problem Analysis in Week Two, prepare a 10-13-question survey to collect primary data regarding your selected problem.

To determine the factors that you are going to use to measure obesity in children, a researcher usually turns to past research by doing an extensive literature search. The idea here is that if you use well-documented measures (e.g. BMI, etc.) of obesity in children, this can then be used as a rationale for the choice and validity of the measures. You will need to decide if you are are going to use the survey to interview the child and parent. Sometimes surveys are mailed out to the parents, who are asked to fill then out and return them by a certain date. Sometimes telephone surveys are used to collect primary data as well.

I located two articles that I will attach for easy referencing (and to draw on fro question 2).For example, the one study (see Obesity in Children) uses the following measures. The questions will be formulated based on these measures.

1. Obesity by Government Office Region (measures: country, health authority region; postal code; electoral wards, and so on) (p. 10)
2. Obesity by type of region (inner city, other dense ...

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