Selecting a method to accurately measure variables can be a complex task. Some data can be transformed from one level of measurement to another, and other data cannot. Measurement instruments must also be validated to prove they accurately measure the variables in question. In this Discussion, you will consider the measurement of data and compare measurement validity to the concept of design validity, introduced in Week 2.
To prepare for this Discussion:
• Review Chapter 7, “Measurement,” and Appendix B in the course text Research Methods in the Social Sciences.
• What is an example of data that can be transformed from one level of measurement to another, and another example of data that cannot be transformed?
• Why is validity for measurement so difficult to establish?
• How are the concepts of validity for design and for measurement similar and different?
• What is the relationship between reliability and validity?
With these thoughts in mind:
ANSWER THE FOLLOWING QUESTIONS – MAXIMUM OF THREE PARAGRAPHS RESPONSE:
• 1 paragraph in which you differentiate between the levels of measurement by providing an example of data that can be transformed from one level of measurement to another, and another example of data that cannot be transformed. Include an explanation for why some data can be transformed and some cannot.
• 2 paragraphs comparing the concept of validity for design to the concept of validity for measurement.
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USE THE FOLLOWING REQUIRED RESOURCES FOR THIS DISCUSSION:
1. Rodchua, S. (2009). Comparative analysis of quality costs and organization sizes in the manufacturing environment. Quality Management Journal, 16(2), 34–43.
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