Research: Levels of Measurement
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Research design is an area where researchers collect various data to address important questions. For example, if researchers wish to find characteristics of people most likely to develop lung cancer, they will have to collect appropriate data first. Investigate 3 different research questions and the appropriate data one needs to collect for each, including the level(s) of the data to be collected for each question. Share with the other students, your research questions and the level(s) of the data to be collected for each. Cite your sources.
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The following posting helps with problems involving levels of measurement in research.
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It is essential to be able to identify the levels of data used in a research design. They are directly associated with determining which statistical methods are most appropriate for testing research hypotheses.
-Nominal: Classifies objects by type or characteristic (sex, race, models of vehicles, political jurisdictions)
-Ordinal: classifies objects by type or kind but also has some logical order (military rank, letter grades)
-Interval: classified by type, logical order, but also requires that differences between levels of a category are equal (temperature in degrees Celsius, distance in kilometers, age in years)
Properties:
-Ratio: same as interval but has a true zero starting point (income, education, exam score). Identical to an interval-level scale except ratio level data begin with the option of total absence of the characteristic. For most purposes, we assume interval/ratio are the same.
Why do people develop type 2 diabetes?
Appropriate Data Collection:
-Weight. (Nominal)
Being overweight is a primary risk factor for type 2 diabetes.
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