In uses “pre-post testing”. The implication is that

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In
the proposed study focusing on exercising and reducing anxiety symptoms, the
research will use a quantitative research method to answer the PICOT/PICO
question. According to Goertzen (2017), a quantitative research approach is
focused on gathering and evaluating data that has a structure and can be
exemplified numerically.  This type of
research approach is direct, measureable, and it represents multifaceted problems
with variables.  The research design will
involve investigating the outcomes of exercising in order to reduce anxiety by
investigating the outcomes and see which is the best collection method in order
to decrease the symptoms.

            By definition, a quasi-experimental is a type of design
used for examining an intervention in which members are not randomly selected
for the treatment conditions.  It is also
known as nonrandomized trial or a control trial without randomization
(Goertzen, 2017).  Quasi-experimental
research imparts similitude to the randomized controlled trial or conventional experimental
design; however, it does not have the component of random consignment to treatment
or control participants. Together with the help of the nurses and healthcare
professionals consents will be provided and collected in order to proceed with
this study and the researcher will keep track of the participants and how the
outcomes are progressing for each patient.

Numerous reasons influenced the selection
of a quasi-experimental design for the current study. Foremost, the
quasi-experiment is selected since it uses “pre-post testing”. The
implication is that a number of tests are carried out prior to the gathering of
any data to discover if any individual or respondent has certain inclinations
that might be contrary or complementary to the study. After that, the actual
experiment is conducted with post-test findings recorded. In addition to this,
quasi-experiment is recommended for the current researcher because they
maximize external and internal validities.

The quasi-experimental research design is
advantageous to research because of their practicality. Nonetheless, the
leading advantage of the experiments is that since they are natural
experiments, results in one study might be applicable in a different study and
context, thereby enabling for generalizations to be made regarding the entire
population. The main drawback of quasi-experimental is the lack of randomness,
which might result in the collection of weak evidence from the study
participants. In research, randomness is crucial because it assists in finding
beneficial data due to its broadness and offers a better depiction of the whole
population.  

Categories: Data

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