Understanding Measurement
Discussion Topic: Understanding Measurement
The Thread – Respond to Part 1 and 2 in one Thread. The Thread must be 400 to 500 words (see Notes).
Part 1 – What are the four levels of measurement? must be 250 to 300 words
- Describe the characteristics of each level of measurement.
- Provide an example of each level of measurement.
Part 2 – What is content validity, and how is it specified? Provide an example. (150 words±)
Post your initial Thread and attach a Word document of your work (see Notes).
The Replies – Each reply (x2) must be 100 to 200 words (see Notes).
You are required to write substantive replies to a minimum of two of your classmate’s initial thread. In contrast to superficial replies, substantive replies add value to the discussion, enhance learning, and contain references to any new concepts or ideas presented.
The following suggestions will aid you in successfully composing substantive responses:
- Compare/contrast the findings of others with your research or experience.
- Compare how the findings of others enhance the concepts learned in the required readings.
- Share additional knowledge regarding the topic that relates to the thread.
Assignment Notes:
- Examples of reliable publications may include Forbes, The Wall Street Journal, Business Week, Barron’s, Retail Business News, etc. Online sources are acceptable if correctly cited, and a link is included. APA in-text citations and references are required. Wikipedia is not considered a reliable publication. You may not use the examples already provided in the study materials or your classmate’s threads.
- Failing to meet word count requirements will be penalized. There is no advantage to exceeding the word count suggestions. Titles, Bible references, quotes, scripture, title page, abstract, references, citations, and reference pages cannot fulfill word count requirements.
Solution – Understanding Measurement
Part 1: Four Levels of Measurement
The four levels of measurement are nominal, ordinal, interval, and ratio. Each level has distinct characteristics that determine the type of data and the kind of statistical analysis that can be applied.
- Nominal Level: This is the simplest level of measurement and involves categorizing data into distinct, non-ordered categories. The data here is qualitative and has no inherent ranking or order. Examples include gender (male, female), types of medical conditions (diabetes, hypertension), or blood type (A, B, AB, O). The key characteristic of nominal data is that you cannot perform any mathematical operations with it—it’s purely for labeling purposes…Please click on the Icon below to purchase the full answer at only $5