Respond  in one or more of the following ways: Ask a probing question, substantiated with additional background information, and evidence. Share an insight from having read your colleagues’ postings, synthesizing the information to provide new perspectives. Offer and support an alternative perspective using readings from the classroom or from your own review of the literature in the Walden Library. Make a suggestion based on additional evidence drawn from readings or after synthesizing multiple postings.                                                               Main Post When conducting research, it is necessary that the researcher not only know how to find the sources needed to answer the question that they have created but also how to analyze that information to understand which research design was used. Doing so will allow the researcher to provide the evidence needed to support or reject the question being asked. Quantitative research is the investigation of phenomena that lends themselves to precise measurement and quantification, often involving a controlled design (Polit & Beck, 2017). This discussion will look at two different quantitative studies and the qualities that make them so.  Sleep Apnea Study Number One  This study by Boulos et al.(2017) looks at the effectiveness of using home sleep apnea testing (HSAT) as a means of detecting obstructive sleep apnea (OSA)  in stroke or transient ischemic attack (TIA) inpatients and outpatients. OSA can negatively impact poststroke functional recovery and by using HSAT these patients can be screened and diagnosed for OSA sooner and improve their poststroke functional and motor recovery (Boulos et al., 2017). The question being asked is therapeutic in nature. The design of the study is listed under the methods section as a single-center prospective observational study. An observational study means that the researchers do not intervene by manipulating the independent variable  (Polit & Beck, 2017). The independent variable within this study would be that all participants have had a stroke or TIA. Prospective designs are studies that begin with a presumed cause and look forward in time for its effect (Polit & Beck, 2017). Within this study, OSA was the presumed cause in a delay of functional and motor recovery for those patients who suffered a stroke or TIA. This design method was appropriate for the group being used. A control group would not have helped to validate the use of HSAT in stroke recovery since those within that group would not be suffering from the same effects. The use of t-tests, Wilcoxon rank sum-test, and multivariate logistic regression were used to analyze the data (Boulos et al., 2017). The results demonstrated that the use of HSAT in the poststroke or TIA population was effective at expediting the diagnosis and treatment of OSA (Boulos et al., 2017).  Sleep Apnea Study Number Two The second study is similar to the first in that it evaluated patients with a ...

1. Respond in one or more of the following ways:
Ask a probing question, substantiated with additional
background information, and evidence.
Share an insight from having read your colleagues’ postings,
synthesizing the information to provide new perspectives.
Offer and support an alternative perspective using readings
from the classroom or from your own review of the literature in
the Walden Library.
Make a suggestion based on additional evidence drawn from
readings or after synthesizing multiple postings.
Main Post
When conducting research, it is necessary that the researcher
not only know how to find the sources needed to answer the
question that they have created but also how to analyze that
information to understand which research design was used.
Doing so will allow the researcher to provide the evidence
needed to support or reject the question being asked.
Quantitative research is the investigation of phenomena that
lends themselves to precise measurement and quantification,
often involving a controlled design (Polit & Beck, 2017). This
discussion will look at two different quantitative studies and the
qualities that make them so.
Sleep Apnea Study Number One
This study by Boulos et al.(2017) looks at the effectiveness of
using home sleep apnea testing (HSAT) as a means of detecting
obstructive sleep apnea (OSA) in stroke or transient ischemic

2. attack (TIA) inpatients and outpatients. OSA can negatively
impact poststroke functional recovery and by using HSAT these
patients can be screened and diagnosed for OSA sooner and
improve their poststroke functional and motor recovery (Boulos
et al., 2017).
The question being asked is therapeutic in nature. The design of
the study is listed under the methods section as a single-center
prospective observational study. An observational study means
that the researchers do not intervene by manipulating the
independent variable (Polit & Beck, 2017). The independent
variable within this study would be that all participants have
had a stroke or TIA. Prospective designs are studies that begin
with a presumed cause and look forward in time for its effect
(Polit & Beck, 2017). Within this study, OSA was the presumed
cause in a delay of functional and motor recovery for those
patients who suffered a stroke or TIA. This design method was
appropriate for the group being used. A control group would not
have helped to validate the use of HSAT in stroke recovery
since those within that group would not be suffering from the
same effects. The use of t-tests, Wilcoxon rank sum-test, and
multivariate logistic regression were used to analyze the data
(Boulos et al., 2017). The results demonstrated that the use of
HSAT in the poststroke or TIA population was effective at
expediting the diagnosis and treatment of OSA (Boulos et al.,
2017).
Sleep Apnea Study Number Two
The second study is similar to the first in that it evaluated
patients with acute ischemic stroke for the prevalence of sleep
apnea and compared the functional outcomes of patients with
and without sleep apnea at the 3rd month after an acute
ischemic stroke (Nair et al., 2019). The type of question being
asked is an etiology in that it looks to see if OSA is a risk factor
for stroke. The design of the study is under the methodology

3. section and is listed as a prospective observational study. This
type of study is also known as a cohort design and as stated by
Polit & Beck (2017), it is the strongest design for etiology
questions when randomization is impossible. This method study
is appropriate in that no manipulation was done to the
independent variable (stroke). Randomization would not be
appropriate for this particular study as the only treatment option
would be the use of Continuous Positive Airway Pressure
(CPAP) and the use of such treatment was not evaluated.
Questionnaires such as the sleep disordered Questionnaire,
Berlin Questionnaire, and Epworth sleepiness scale were used to
diagnose sleep apnea in the patients being evaluated and the
results divided the group into those who had sleep apnea and
those who did not. The two groups were then compared using
Barthel scores at baseline and at 3 months. Using repeated
measure of ANOVA, the results showed a significant difference
with an improved functional gain in patients in the no sleep
apnea group demonstrating that sleep apnea is associated with
an increased risk of ischemic stroke and poor functional
outcome (Nair et al., 2019).
Conclusion
For researchers, understanding which design method to use
when creating a research study can be a great asset to promoting
the change that they wish to bring about. Utilizing the wrong
research design may diminish the quality of the results and may
create doubt about the study overall. Understanding that
quantitative studies aim to explain cause-and-effect
relationships will help to guide the researcher to design their
research to demonstrate causality and bring attention to the
problem that they are determined to address (Polit & Beck,
2017).

4. References
Boulos, M. I., Elias, S., Wan, A., Im, J., Frankul, F., Atalla, M.,
… Murray, B. J. (2017).
Unattended Hospital and Home Sleep Apnea Testing Following
Cerebrovascular Events. Journal of Stroke & Cerebrovascular
Diseases, 26(1), 143–149. https://doi-
org.ezp.waldenulibrary.org/10.1016/j.jstrokecerebrovasdis.2016
.09.001
Nair, R., Radhakrishnan, K., Chatterjee, A., Gorthi, S. P., &
Prabhu, V. A. (2019). Sleep
Apnea-Predictor of Functional Outcome in Acute Ischemic
Stroke. Journal of Stroke & Cerebrovascular Diseases, 28(3),
807–814. https://doi-
org.ezp.waldenulibrary.org/10.1016/j.jstrokecerebrovasdis.2018
.11.030
Polit, D. F., & Beck, C. T. (2017). Nursing research: Generating
and assessing evidence for
nursing practice (10th ed.). Philadelphia, PA: Wolters Kluwer.