Statistical Analysis: Experimental, Quasi-Experimental, and Non-Experimental Studies

Statistical Analysis: Experimental, Quasi-Experimental, and Non-Experimental Studies
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Due Date Statistical Analysis: Experimental, Quasi-Experimental, and Non-Experimental Studies Experimental research design incorporates design variables that the author can manipulate to demonstrate how they affect each other. Evidence indicates that they focus their attention on one particular research question and exploit the concept of randomization of participants or samples to ensure that everyone has an equal chance of being selected to the control or the experimental groups. Unlike other research designs, the experimental one identifies the direct effect of the dependent variables on the independent variables. For instance, the article by Piro and Ahmed (2020) integrates an intervention and control group with the former receiving the education sessions while the latter continued with standard breastfeeding care. Such an approach effectively exploits the design and provides the researcher with a basis for determining whether the controlled variables induce change in the intervention group. Unlike experimental studies, quasi-experimental designs do not incorporate the concept of randomization in the assignment of treatment conditions. As a result, the researcher uses a convenience approach guided by specified criteria to determine which participants are in the control or treatment groups. As a result, the lack of control exposes these researchers to diverse internal validity challenges, including selection bias that the researchers mus...