Nursing Research And Quantitative Studies

Running head: NURSING RESEARCH
Nursing research
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NURSING RESEARCH1
Answer 1:
In quantitative studies, rigor is known to increase the quality of research performed in clinical
settings by allowing a freedom from the biases most commonly governing various clinical
studies. It is essential to understand the design of the clinical experiment and study correctly
and for the researcher to evaluate any underlying factor for the observed outcome. Rigor is
widespread in conditions of strict conduct, acceptance of specialty standards and logical
interpretation are available. Unlike this quantitative study, rigor may extend to qualitative and
descriptive studies as well. Quantitative studies examine the hypothesis described for the
determination of a correlation between the outcome and the exposure. However, in
descriptive studies, observation is based on the individual, location and time. Quantitative
studies can be both observational such as case-control and cohort and controlled such as
randomized control trials. Bias may be defined as trends in collecting, analyzing, interpreting,
publishing and reviewing the information to outline conclusions which systematically differ
from the reality (Marquart, 2017). Bias is referred to as a dichotomous variable and is not
interpreted in a limited way of presence or absence. As it is a tendency, which obstructs
unprejudiced conclusion of the question in this study, it is inherently present in this as well as
nearly all the studies published influencing the conclusions of the study.
Answer 2:
Validity may be defines as the strength of the proposition, conclusion and inference of the
study. Quantitative studies rely on collecting and analyzing the data presented in statistical
format in describing, explaining, predicting and controlling the variables and the
phenomenon of desire. Similarly, this quantitative study provides scope for greater validity
and as the outcomes of the study are measurable and can be broadly generalized (Watson,
2015). Validity of quantitative studies are fundamentally affected by the method of analytical