Please provide a definition of the nominal, ordinal, interval, and ratio scales and develop a simple chart with an example of each. Additionally, specify the types of statistics that might be used with each as follows:

Mr. J is a 72-year-old retired rabbi with a diagnosis of mild dementia. He was admitted for treatment of a fractured right hip after falling in his home. He has received pain medication and is drowsy
June 19, 2020
For the analysis, you must: Identify the author of the message. Explain the creative techniques used to capture the attention of the audience. Identify and explain the values and points of view that are contained within the message and those that are omitted from the message. Discuss how different audience members may interpret the message. Adhere to the Persuasive Media Analysis Template.
June 20, 2020

Please provide a definition of the nominal, ordinal, interval, and ratio scales and develop a simple chart with an example of each. Additionally, specify the types of statistics that might be used with each as follows:

Quantitative analysis requires the use of numeric data to describe and interpret the results.The types of numeric data collected will determine what statistics can be utilized.

  1. Please provide a definition of the nominalordinalinterval, and ratio scales and develop a simple chart with an example of each. Additionally, specify the types of statistics that might be used with each as follows:
    Type of Data Example Statistical Procedure
    Nominal (provide definition)
    Ordinal (provide definition)
    Interval (provide definition)
    Ratio (provide definition)
  2. Conclude your discussion with a reflection on how statistics might be utilized in your own evidence-based practice.
  3. Provide at least three citations with full references to credible nursing scholarly articles supporting your definitions and discussion.
In order to earn full discussion points, the following criteria must be met in full: 1.     Provide an initial post on or BEFORE Saturday. 2.    Post more than 2 comments per Discussion topic on separate days  (resulting in total participation on three different days throughout the discussion). At least two comments include a citation. 3.    Frequently attempt to motivate the group discussion. 4.    Answer all discussion question points with opinions/ideas creatively and clearly. Supports post using several outside, peer-reviewed sources (Scholarly sources… NOT internet sites). 5.    No errors with APA format. 6.    Consistently use Standard American English with no misspellings. Appropriate mechanics and formatting.   7.    The initial post must at least 200 words.  This does not include repeating the DB question or the citations and references.Class, Before responding to this discussion, please review the following: Levels of Measurement Levels of Measurement: what you can and can't do arithmetically

UsableStats: Nominal, Ordinal, Interval and Ratio

  example of answer........   Before a statistical analysis can be conducted, the dependent variable has to be measured. Exactly how the measurement is carried out depends on the type of variable involved in the analysis. Although procedures for measurement differ in many ways, they can be classified using categories are called "scales," Nominal scale- these scales are used to name or categorize responses (eg.) gender, handedness, favorite color, and religion. Nominal scales do not imply any ordering among the responses so when classifying people according to their favorite color, there is no sense in which green is placed "ahead of" blue. Responses are merely categorized. Nominal scales embody the lowest level of measurement. Osherson, D. & Lane, D. (2011). Ordinal scale- Unlike nominal scales, ordinal scales allow comparisons of the degree to which two subjects possess the dependent variable, (eg.) the satisfaction of the purchase of a refrigerator ordering makes it meaningful to assert that one person is more satisfied than another with their refrigerator. The differences between adjacent scale values do not necessarily represent equal intervals on the underlying scale giving rise to the measurements. Osherson, D. & Lane, D. (2011). Interval scale- interval scales are numerical scales in which intervals have the same interpretation throughout. (eg) the difference between 30 degrees and 40 degrees represents the same temperature difference as the difference between 80 degrees and 90 degrees. Osherson, D. & Lane, D. (2011). Ratio scale- The ratio scale of measurement is the most informative scale. It is an interval scale with the additional property that its zero position indicates the absence of the quantity being measured. Osherson, D. & Lane, D. (2011).
Type of Data Example Statistical Procedure
Nominal (provide definition)  Favorite color  Chi-square
Ordinal (provide definition)  Satisfaction with patient care 1-5  Sign test Run test
Interval (provide definition)  The Fahrenheit scale  t-test F-test
Ratio (provide definition)  Kelvin scale  One way analysis of variance
Statistics might be utilized in my own evidence-based practice by using these scales to  assess the equality of patient car at my hospital. Reference: Introduction to Measurement and Statistics. Retrieved from: http://www2.webster.edu/~woolflm/statwhatis.html Osherson, D. & Lane, D. (2011). Levels of Measurement. Retrieved from:http://onlinestatbook.com/2/introduction/levels_of_measurement.html Polit, D. F. & Beck, C. T. (2012). Nursing research: Generating and assessing evidence for  nursing practice (9th ed.). Philadelphia, PA: Lippincott, Williams & Wilkins. Smith, S.S. (1995). Frequently Asked Questions About Level of Measurement. Retrieved from: http://www.people.vcu.edu/~pdattalo/702SuppRead/FAQs_measure.htm  

Quantitative analysis requires the use of numeric data to describe and interpret the results.The types of numeric data collected will determine what statistics can be utilized.

  1. Please provide a definition of the nominalordinalinterval, and ratio scales and develop a simple chart with an example of each. Additionally, specify the types of statistics that might be used with each as follows:
    Type of Data Example Statistical Procedure
    Nominal (provide definition)
    Ordinal (provide definition)
    Interval (provide definition)
    Ratio (provide definition)
  2. Conclude your discussion with a reflection on how statistics might be utilized in your own evidence-based practice.
  3. Provide at least three citations with full references to credible nursing scholarly articles supporting your definitions and discussion.

In order to earn full discussion points, the following criteria must be met in full:

1.     Provide an initial post on or BEFORE Saturday.

2.    Post more than 2 comments per Discussion topic on separate days  (resulting in total participation on three different days throughout the discussion). At least two comments include a citation.

3.    Frequently attempt to motivate the group discussion.

4.    Answer all discussion question points with opinions/ideas creatively and clearly. Supports post using several outside, peer-reviewed sources (Scholarly sources… NOT internet sites).

5.    No errors with APA format.

6.    Consistently use Standard American English with no misspellings. Appropriate mechanics and formatting.

 

7.    The initial post must at least 200 words.  This does not include repeating the DB question or the citations and references.Class,

Before responding to this discussion, please review the following:

Levels of Measurement

Levels of Measurement: what you can and can’t do arithmetically

UsableStats: Nominal, Ordinal, Interval and Ratio

 

example of answer……..

 

Before a statistical analysis can be conducted, the dependent variable has to be measured. Exactly how the measurement is carried out depends on the type of variable involved in the analysis. Although procedures for measurement differ in many ways, they can be classified using categories are called “scales,”

Nominal scale- these scales are used to name or categorize responses (eg.) gender, handedness, favorite color, and religion. Nominal scales do not imply any ordering among the responses so when classifying people according to their favorite color, there is no sense in which green is placed “ahead of” blue. Responses are merely categorized. Nominal scales embody the lowest level of measurement. Osherson, D. & Lane, D. (2011).

Ordinal scale- Unlike nominal scales, ordinal scales allow comparisons of the degree to which two subjects possess the dependent variable, (eg.) the satisfaction of the purchase of a refrigerator ordering makes it meaningful to assert that one person is more satisfied than another with their refrigerator. The differences between adjacent scale values do not necessarily represent equal intervals on the underlying scale giving rise to the measurements. Osherson, D. & Lane, D. (2011).

Interval scale- interval scales are numerical scales in which intervals have the same interpretation throughout. (eg) the difference between 30 degrees and 40 degrees represents the same temperature difference as the difference between 80 degrees and 90 degrees. Osherson, D. & Lane, D. (2011).

Ratio scale- The ratio scale of measurement is the most informative scale. It is an interval scale with the additional property that its zero position indicates the absence of the quantity being measured. Osherson, D. & Lane, D. (2011).

Type of Data Example Statistical Procedure
Nominal (provide definition)  Favorite color  Chi-square
Ordinal (provide definition)  Satisfaction with patient care 1-5  Sign test

Run test

Interval (provide definition)  The Fahrenheit scale  t-test

F-test

Ratio (provide definition)  Kelvin scale  One way analysis of variance

Statistics might be utilized in my own evidence-based practice by using these scales to  assess the equality of patient car at my hospital.

Reference:

Introduction to Measurement and Statistics. Retrieved from: http://www2.webster.edu/~woolflm/statwhatis.html

Osherson, D. & Lane, D. (2011). Levels of Measurement. Retrieved from:http://onlinestatbook.com/2/introduction/levels_of_measurement.html

Polit, D. F. & Beck, C. T. (2012). Nursing research: Generating and assessing evidence for  nursing practice (9th ed.). Philadelphia, PA: Lippincott, Williams & Wilkins.

Smith, S.S. (1995). Frequently Asked Questions About Level of Measurement. Retrieved from: http://www.people.vcu.edu/~pdattalo/702SuppRead/FAQs_measure.htm

 


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