ANALYSIS OF QUANTITAVE RESEARCH STUDY REPORT Introduction According to the research study regarding predictors of vascular complications post diagnostic catherization percutaneous coronary interventions, it is observed that nurses hold a huge responsibility for patients, care after cardiac catherization and percutaneous coronary intervention. It was found out that women who were over seventy years old had increased vascular complications, and they also had renal failure. Furthermore, they went through percutaneous intervention and had a venous cover.
The study design used in conducting the research was the descriptive design. In this design, the behavior of a subject is observed without affecting it in any way. This design was appropriate because it is often used as a tool of both qualitative and quantitative designs of research since it gives a common outline as to what variables should be tested quantitatively. This makes the design less expensive and less time-consuming as compared to other designs.
Internal validity is the truth in the inferences of a cause-effect relationship. In this research, one threat to the internal validity is history. This occurs when repeated experiments of the research done by researchers earlier affect the participants’ response to the procedures in the experiment (MCQuarrie, 2005). Another threat is maturation, where subjects change during the cause of the study. For instance, with time, a patient may develop complications that are not as a result of the cardiac catherization during the time of the study, hence non-valid results are obtained. Threats to external validity explain how wrong a person might be in making specific conclusions. One of the threats to the external validity is aptitude treatment interaction, where the independent variable may relate with certain features of the sample. Another threat is the situation, which includes all situations that limit the generalization of a study.
The sample size here can be chosen based on the quality of the findings and the cost of the collection of data. The sample size is also based on the hypothesis’ strength. The sample representative of the population is the small group of individuals who have undergone cardiac catherization and are interviewed in order to represent the larger population of the patients recovering from it (Griffiths, 1998). The representative sample is obtained by identification of the population being sampled by researchers. The setting in which data was collected is appropriate because it enabled the researchers to calculate the descriptive statistics, to perform tests to determine which patient was with or without complication, and it also enabled them to determine later the significance of variables in predicting complications using hierarchical logistic regression.
Extraneous variables affect the behavior of the subject being studied. In this study, the extraneous variables include history, testing, statistical regression and experimental mortality. In preventing experimental mortality, the experiment was carried out to the end without the researchers quitting (Lichtman, 2009). There was random assignment of test units to treatment conditions thus controlling the occurrence of selection interfering with the subject of study. To control the testing factor from affecting the internal validity of the research, tests were performed to determine which patient was with or without complications after the cardiac catheterization process.
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