hia630 wk3 discussion1 vladimir
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Ashford University *
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Course
630
Subject
Health Science
Date
Nov 24, 2024
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docx
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2
Uploaded by mewood2305
The 4 different scales of measurement: nominal, ordinal, interval and ratio
scale. Fun fact, nominal measurements is not the count of a variable and
rather the observation between kind or quality such as fresh fruit an
individual purchased most recently. (Kviz, 2020) Relative position! AKA
Ordinal level is simply where or how things are placed based on hierarchical
order. The example of severity in a disease labeled 1 for low, 2 for medium
and 3 for high. Lastly Interval and ratio scale share similarities when it comes
to measurements for example if a subject of study is 5 inches in length then
all follow that rule both in and out. The ratio and interval follow the same
rule, rather the ratio level does not share the same rule when it comes to
temperature. This is known as interval-level measurements as the difference
between Fahrenheit and Celsius measure at different points. As Kviz explains,
freezing water temperature will read at different intervals when measured in
both Celsius and Fahrenheit.
The definition of reliability and validity is that these studies are not truly
independent from each other. In fact obtaining measurements is with the
objective that data is error-free as Kviz explains. In an effort to measure error
free study the reliability role will quantify the data.
The topic selected is AI in healthcare and because of the topic the best
research article that applies to this assignment includes survey drawn data.
The PEW Research on Feb 22, 2023 published that 60% of Americans would
be uncomfortable with provider relying on AI on their own health care. The
surveys done through center's American trends panel recruited through
national, random sampling of residential addresses. This way, nearly all U.S.
adults have a chance of selection. The survey is weighted to be
representative of the U.S. adult population by gender, race, ethnicity,
partisan affiliation, education and other categories. As a result on how the
data was obtained this is an example of ordinal scale. The independent
variable is AI and dependent are the respondents. Since this study is built on
survey and opinion both the reliability and validity are not completely error-
free as respondents may have bias feelings towards all types of technology
and other reasons. Except that this study is relevant to the topic AI in
healthcare because it allows to understand what the population feels of this
new product entering the health industry.
References:
Kviz, F. J. (2020). Conducting health research: Principles, process, and
methods. SAGE.
Nadeem, R. (2023, March 6). How Americans View Use of AI in Health Care
and Medicine by Doctors and Other Providers | Pew Research Center. Pew
Research Center Science &
Society.
https://www.pewresearch.org/science/2023/02/22/60-of-americans-
would-be-uncomfortable-with-provider-relying-on-ai-in-their-own-health-
care/
Links to an external site.
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