comparing types of measurement

Data can come in many forms, but not all data can be accurately analyzed with all statistical techniques. Therefore, it is important to understand the basic types of data before advancing further in your study of statistics.

Consider the four types of data introduced in this module: nominal, ordinal, interval, and ratio. Define each of these data types. Include industrial/organizational (I/O)-related examples of each type of data (i.e., data that might be collected by an industrial/organizational (I/O) professional in a work setting). For each data type, include an article reference and a brief description of the article you chose that incorporated that type of data into its research design.

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Compare the four data types and discuss their relative strengths and weaknesses.

Write a 3- to 5-page paper in Microsoft Word format that addresses the items listed above, utilizing a minimum of three scholarly sources. Make sure you employ proper grammar and spelling and apply current APA standards for writing style to your work.