Minimum of 350 words with at least two peer review reference in 7th edition apa style As a practice scholar, you are searching for evidence to translate into practice. In your review of evidence, you locate a quasi-experimental research study as possible evidence to support a practice change. You notice that the study aims to make a prediction that relates to correlation between study variables. The study sample size is large and normally distributed. Reflect upon this scenario to address the following.
As a practice scholar, the process of searching for evidence to translate into practice is an essential step in ensuring evidence-based practice. In this scenario, the researcher has come across a quasi-experimental research study, which potentially holds evidence to support a practice change. This research study aims to make predictions related to the correlation between study variables. Additionally, the study sample size is large and normally distributed.
The use of a quasi-experimental research design allows for the examination of cause-and-effect relationships in a non-randomized setting. In this case, the researcher aims to predict the correlation between study variables, implying an interest in understanding how changes in one variable may affect the other. By utilizing a quasi-experimental design, the researchers can make predictions based on their observations and data analysis. This type of research design is often employed when a randomized controlled trial is not feasible or ethical.
The large sample size in this study is an important factor to consider. A larger sample size provides more statistical power, increasing the likelihood of detecting a true effect. With a large sample, the study’s results are more likely to be representative of the target population, enhancing the generalizability of the findings. The use of a normally distributed sample is also significant as it allows for the application of parametric statistical tests. These tests assume that the data follows a normal distribution and enables the use of various inferential statistical techniques, such as regression analysis or t-tests.
Overall, these characteristics of the study provide a strong foundation for evidence-based practice translation. However, it is important to remember that relying solely on one research study is not advisable. In order to ensure the accuracy and validity of the evidence, it is crucial to consider the findings within the broader context of existing literature.
In terms of evidence-based practice, the researcher should evaluate the study’s methodological rigor and address potential limitations. This would involve critically examining the study’s research design, data collection methods, statistical analysis, and interpretation of findings. By assessing the study’s quality, the researcher can make an informed decision about the applicability and reliability of the evidence for their practice change.
Additionally, it is essential to critically consider the study’s results in light of other relevant research studies. This involves conducting a comprehensive literature review to identify other related studies that have investigated similar variables or research questions. By doing so, the researcher can compare and contrast the findings from different studies, which helps to establish consistency or identify discrepancies in the evidence. This process allows for a more robust and informed practice change implementation.
Moreover, to ensure the validity and credibility of the evidence, the researcher should seek out studies that have undergone a peer review process. Peer-reviewed studies have been assessed and evaluated by experts in the field, adding an extra layer of scrutiny to the research methodology, analysis, and conclusions. By selecting peer-reviewed studies, the researcher can have confidence in the quality and validity of the evidence, increasing the likelihood of a successful practice change.
In conclusion, finding evidence to support a practice change is a critical step for a practice scholar. In this scenario, a quasi-experimental research study with a focus on predicting the correlation between study variables has been identified. The large sample size and normal distribution of the data provide a solid foundation for evidence-based practice translation. However, it is important to critically evaluate the study’s methodology, consider other relevant research, and prioritize peer-reviewed studies to ensure the credibility and validity of the evidence. By following these steps, the practice scholar can confidently incorporate the evidence into their practice change.