Comparative Analysis of Qualitative and Quantitative Research Methods

The assignment presents a detailed comparison between qualitative and quantitative research methods with a focus on data collection, levels of measurement, and sampling considerations. Qualitative data is collected using open-ended questionnaires and interviews, capturing words to assess beliefs and attitudes, while quantitative data involves numerical data gathered through surveys or physiological measures. The study highlights the importance of matching data collection procedures to the research design. In terms of levels of measurement, qualitative analysis does not emphasize specific scales, whereas quantitative analysis uses precise measurements such as nominal, ordinal, interval, and ratio levels. Sampling in both methods can use probability or non-probability approaches; however, for quantitative studies, ensuring sample validity is crucial to minimize sampling errors. References include works by Prion & Adamson (2013, 2015) that discuss measurement and methodology.

Running head: QUALITATIVE AND QUALITATIVE
Quantitative and Qualitative Research Analysis
Name of the Student
Name of the University
Author Note

1
QUALITATIVE AND QUALITATIVE
Traits Qualitative Quantitative
Data Collection Data are collected in the form of
words with no numerical data
involved. Common procedure of
data collection used in case of
qualitative data analysis include
interview via open-ended
questionnaire. The procedure of
cost-effective and helps in the
assessment of the beliefs and
attitudes of the people
Data collection is done in the
form of numerals. Quantitative
data can be obtained via surveys
or via the constructing close-
ended interview questionnaire.
The collected data is
represented over analogue scale,
Likert scale. Here the
respondents are able to report
their own experiences. Another
form of quantitative data
collection in case of health care
domain is via physiological
measures but there lies certain
ethical complications (Prion &
Adamson, 2015).
The procedure of data collection
must match with the design of
the research and research
question
Levels of Measurement Qualitative data analysis does
not deal with the levels of
measurement. Here the recorded
information is analyzed on the
basis of personal understanding,
the more or the motion of the
answer
The level of measurement is
significant in case of
quantitative data analysis as it
deals with the numerical data.
Numerical data are more precise
and thus levels of measurement
as represented in Likert charts
or other pi charts are more
authentic. However, error in
measurement is always possible
It is used for the quantification
of the data. There are four
layers of measurement like
nominal, ordial, interval and
ratio

2
QUALITATIVE AND QUALITATIVE
(Prion & Adamson, 2013).
Sampling Consideration Sampling procedure in qualitative and quantitative research
techniques is same. Both can utilize probability sampling or non-
probability sampling.
One important consideration of sampling in case of quantitative
research is assessing the soundness of the sample (Adamson &
Prion, 2013).
Sampling deals with the target
population that must be again
sub-divided into accessible
population, which meets the
eligibility criteria. There are
two types of sampling
probability and non-probability
sampling. However, the
sampling procedure must be
designed in such a way that it
reduces the sampling error or
biasness (Adamson & Prion,
2013).

3
QUALITATIVE AND QUALITATIVE
References
Adamson, K. A., & Prion, S. (2013). Making sense of methods and measurement: Effect size.
Clinical Simulation in Nursing, 9(6), e225–e226. Retrieved
from http://dx.doi.org/10.1016/j.ecns.2013.01.005.
(http://www.sciencedirect.com/science/article/pii/S1876139913000157)
Prion, S., & Adamson, K. A. (2013). Making sense of methods and measurement: Levels of
measurement for quantitative research. Clinical Simulation in Nursing, 9(1), e35–e36.
Retrieved from http://dx.doi.org/10.1016/j.ecns.2012.10.001.
(http://www.sciencedirect.com/science/article/pii/S1876139912003441)
Prion, S., & Adamson, K. A., (2015). Making sense of methods and measurements: Helpful
resources for research methods and data analysis. Clinical Simulation in Nursing, 11,
(9), 431–432. Retrieved from http://dx.doi.org/10.1016/j.ecns.2015.03.011.
(http://www.sciencedirect.com/science/article/pii/S1876139915000316)