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 and control groups being nonequivalent leading to issues with study design. This is what is evidenced in the study conducted by Yuan et al. (2009)
where five units assigned a number of 8 to 10 voluntary participants to either the experimental or control groups. There is thought to be a risk of bias in assigning participants to the two groups as a result of this. This comes from the random error that occurs on measurements across the two different groups. This random error also affects the statistical conclusion validity of the study since it creates an element of instability in the measurements making the results of the study to be highly unstable thus unreliable. Since there is a risk of bias with such quasi-experimental designs, there is the introduction of a constant source of error into the results which creates the instability in the results.
In a quasi-experimental design there is also the risk of self-selection effect. This occurs when participants choose the group which they want to join. In this study, it can be expected that those nurses who are more fit and willing to embrace physical fitness were more likely to opt for the intervention group rather than the control group. This creates an error since it becomes hard to estimate whether the effect of the intervention is as a result of the intervention itself or a preexisting factor in the participant which in this case is the likelihood of joining physical fitness programs Moss, 2007()
Another...
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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