Validity in research is a term that refers to the extent with which researchers are confident that they have determined causal relationships through the cause and effect they identify in their study. As a result, validity is an important aspect of research since it helps in determining whether the research design is flawed and the credibility of research findings. There are various kinds of validity that are utilized in determining the validity of quantitative studies including internal validity, external validity, statistical conclusion validity, and constructs validity. Polit & Beck (2012) suggests that researchers attempt to ensure validity of their studies through maintaining adequate control over confounding variables.
The Study
Padula, Hughes & Baumhover (2009) conducted a study in which they examined the effect of nurse-driven mobility protocol on functional deterioration in hospitalized older adults. This quasi-experimental study was carried out on the premise that functional status is an important aspect of the health, wellbeing, and quality of life of older adults. The researcher utilized a non-equivalent control group design in which dependent variables were hospital length of stay and functional status whereas mobility control was the independent variable.
Potential Concerns Regarding the Study’s Internal Validity
One of the potential concerns that could be raised...
References
Padula, C. A., Hughes, C., & Baumhover, L. (2009). Impact of a Nurse-driven Mobility Protocol on Functional Decline in Hospitalized Older Adults. Journal of Nursing Care Quality, 24(4), 325–331.
Polit, D.F. & Beck, C.T. (2012). Nursing research: generating and assessing evidence for nursing practice (9th ed.). China: Lippincott Williams & Wilkins.
Validity in Quantitative Research Designs Validity Quantitative Research Designs Validity research refers extent researchers confident effect identify research fact causal relationships. If low validity a study, means research design flawed results . Threats to internal validity in quasi-experimental designs Quasi-experimental studies have several issues that lead to lack of internal validity of the study. These occur as a result of the experimental conditions not being highly controlled or randomized. This leads to intervention
Validity, in essence, has got to do with the extent to which a given research study measures the accuracy of a specific concept – effectively meaning that a study can be said to have passed the validity test if it accurately mirrors that which the researchers set about to investigate. In quantitative research, as Polit and Beck (2012) point out, “researchers strive to design studies that are strong with respect
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