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“Social Media Survey Analysis,”

Part 2: Complete the attached document, “Social Media Survey Analysis,” to conclude this assignment.

Part 2:

Can any of the questions be misunderstood? Why or why not?

Are the questions biased or slanted? Why or why not?

Is the wording of the questions leading or misleading? Why or why not?

Is the best response format used? Why or why not?

Were there questions in which someone may lie to appear more desirable?

Why are the questions worded the way they are? (Refer to the Marlowe-Crowne Social Desirability Scale on page 111 of the textbook)

Sample Solution

form of reckoning a population mean (e.g. mean income per person) or proportion (e.g. proportion of voters favouring the Brexit vote). However, the problem with surveys is that information costs money and as a result, the experimenter must determine how much information he or she needs. Too little information prevents the experimenter from making good estimates, whereas too much of it results in a waste of money. So, the purpose of sampling is to reduce this cost and/or the amount of data that it would take to survey the entire target population, [see 2, “Survey Sampling”, para. 1]. According to Graham Kalton [see 3], sample surveys are nowadays widely accepted as a means of providing statistical data on an extensive range of subjects for both research and administrative purposes. Indeed, businesses and researchers have the need to conduct surveys for several reasons. To begin with, the main purpose is to uncover answers regarding the investigating subject by gathering meaningful opinions, comments, and feedback. Secondly, a survey evokes discussion, gives the survey respondents an opportunity to discuss important key topics and helps the experimenter to dig deeper into the survey and can incite related topics with a broader perspective. Finally, the most important objectives are to base the business decisions on unbiased information and compare results for providing a well-based conclusion for your target survey population. One of the most common real life examples is that governments make considerable use of surveys to get informed of the conditions of their populations in terms of employment and unemployment, income and expenditure, housing conditions, education, nutrition, health, travel patterns, and many other subjects. They also conduct surveys of organisations such as manufacturers, retail outlets, farms, schools, and hospitals. Local governments equally make use of surveys for local planning purposes. Generally, surveys are also used in many other sciences such as sociology, political science, education and public health, [see 3, Kalton 1983]

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