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. 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: Type of Data Example Statistical Procedure Nominal (provide definition) Ordinal (provide definition) Interval (provide definition) Ratio (provide definition) Conclude your discussion with a reflection on how statistics might be utilized in your own evidence-based practice. 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 val.

1. 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.
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:
Type of Data
Example
Statistical Procedure
Nominal (provide definition)
Ordinal (provide definition)
Interval (provide definition)
Ratio (provide definition)
Conclude your discussion with a reflection on how statistics
might be utilized in your own evidence-based practice.
Provide at least three citations with full references to credible
nursing scholarly articles supporting your definitions and

2. 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

3. 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

4. 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_measuremen
t.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_meas
ure.htm