In data analysis, which factors significantly influence the amount of information that can be extracted from a variable?Group of answer choicesThe variable’s type of measurement scaleThe data collection methodAn expert in the fieldThe data’s level of significance
Question
In data analysis, which factors significantly influence the amount of information that can be extracted from a variable?Group of answer choicesThe variable’s type of measurement scaleThe data collection methodAn expert in the fieldThe data’s level of significance
Solution
The factors that significantly influence the amount of information that can be extracted from a variable in data analysis include:
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The variable’s type of measurement scale: Different scales of measurement provide different levels of information. For example, nominal scales categorize data without giving any order or priority. Ordinal scales provide both categorization and order. Interval scales give us the order of values + the ability to quantify the difference between each one. Ratio scales give us the interval quality + a true zero point.
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The data collection method: The way data is collected can greatly affect the quality and depth of data. For example, data collected through surveys might be influenced by the way questions are asked or the sample size.
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An expert in the field: An expert in the field can provide valuable insights and context that can help in extracting more meaningful information from the data. They can help in understanding the nuances and complexities of the data.
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The data
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