Data generalizability is the: A) degree to which the data is an accurate portrait of the target population. B) degree to which a specific question or investigated issue leads the respondent to give a socially expected response. C) level of preparation required to create an appropriate environment for the respondent. D) degree to which respondents share certain similarities. E) percentage of the general population that is the subject of the market research.

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Business

Libby Avila

17 June, 19:44

Data generalizability is the: A) degree to which the data is an accurate portrait of the target population. B) degree to which a specific question or investigated issue leads the respondent to give a socially expected response. C) level of preparation required to create an appropriate environment for the respondent. D) degree to which respondents share certain similarities. E) percentage of the general population that is the subject of the market research.

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Ronald Newman · Answer 1

The answer is: A) degree to which the data is an accurate portrait of the target population.

Explanation:

To explain data generalizability I like to use election polls as an example. There are over 200 million voters in the US, and polls only cover a few thousands of voters, it is impossible to survey the whole population. Data generalizability refers to how well does the election polls reflect the real outcome of an election. Can the data sample used in the polls serve as a true parameter to know the real outcome of the election? Some polls are accurate and others aren't, accurate polls have high data generalizability.