Project #90434 - Variables and Scales of Measurement

This week’s Assignment is intended to help you get familiar with two essential concepts in quantitative research: variables and scales (or levels) of measurement. (The terms levels and scales are used interchangeably.) A scale is basically a tool for measuring. Variables refer to attributes or properties which are clearly identified so they can be measured in the research. Variables are measured numerically according to scales of measurement.

For this Assignment, you will examine the four scales of measurement (nominal, ordinal, interval, ratio). You will identify and define each scale of measurement. You will provide an example of a variable representing each scale of measurement and justify why the variable is appropriate for the scale of measurement. You will also examine the differences and similarities among each scale and the relationship between the scales of measurement. In addition, you will examine the relationship between scales of measurement and inferential statistical analysis. Inferential statistical analysis is concerned with understanding how the results gathered from using a sample can be generalized to a larger population. Finally, you will identify one nominal, ordinal, interval, and ratio variable in the IT Security Dataset found in this week’s Learning Resources and examine the characteristics of the variable that make it appropriate for the chosen scale of measurement.

To prepare for this Assignment:

·         Download the IT Security Dataset found in this week’s Learning Resources.

Submit a 3- to 4-page paper consisting of the following elements:

·         A definition and example of a variable depicting each scale of measurement. Do not include any variable identified in the Pearson Education dataset or the Firm Foundation of the Scale of Measurement media piece found in this week’s Learning Resources.

·         A justification for why the variable example you provided is appropriate for the associated scale of measurement. Include an explanation of the characteristics of the variable that make it appropriate for each scale of measurement.

·         A comparison of the similarities and differences among the four scales of measurement.

·         An analysis of the relationship between the scales of measurement and inferential statistical analysis.

·         An identification of one nominal, ordinal, interval, and ratio variable in the IT Security Dataset and an explanation of the characteristics of the variable that make it appropriate for each scale of measurement. You need to download the IT Security Dataset from this week’s Learning Resources.

Follow APA (American Psychological Association) style and include in-text citations and a separate references page.

 

I will upload the files that was in the IT Security Dataset file

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Due By (Pacific Time) 11/01/2015 11:00 pm
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