This is a 150 word response. Must 2 scholarly nursing articles within the last 5 years to reply to these posts. 1st person to respond to (Lauren) Developing any part of a research study has it challenges. For a novice researcher, they may find it to be a little extra difficult due to their lack of experience. However, this should not stop a novice researcher from engaging in research studies. If a novice researcher is asked to develop a new tool to collect patient data, the novice researcher must first perform a literature review and establish a framework (Brannan, Dumsha & Yens, 2013). Once these are done, then creating the method for the study including the tool to collect data is next. The researcher should keep the design of the study simple and standardized but detailed enough that other researchers would be able to duplicate the study exactly (Brannan et al, 2013). Because anxiety is a feeling that can only be self-reported, collecting data in a narrative or qualitative format would be ideal. According to Rose and Devine (2014), anxiety measuring instruments can be generic or specific depending on the anxiety. Since the peer or manager is specifically wanting data about anxiety prior to the procedure, a the more specific questionnaire tool should be used. 2nd person to respond to (Reji) Dear Reji, You are correct that selecting the appropriate statistical analysis method for research studies can be challenging, but it is crucial for obtaining valid and reliable results. In nursing research, different statistical tests are used depending on the study design and the research question. For example, parametric tests such as t-tests and ANOVA are used for normally distributed continuous data, while non-parametric tests such as Mann-Whitney U test and Kruskal-Wallis test are used for non-normally distributed data (Polit & Beck, 2017). Furthermore, it is essential to ensure that the assumptions of the selected statistical test are met before conducting the analysis. Violating the assumptions can lead to inaccurate results and conclusions. Therefore, researchers should carefully examine the data for normality, homogeneity of variance, and independence before choosing a statistical test (Polit & Beck, 2017). In your research study, as you mentioned, you are using a pretest-posttest design to evaluate the effectiveness of an intervention. A paired t-test would be an appropriate statistical test for analyzing the differences between the pretest and post

“ This is a 150 word response. Must 2 scholarly nursing articles within the last 5 years to reply to these posts. 1st person to respond to (Lauren) Developing any part of a research study has it challenges. For a novice researcher, they may find it to be a little extra difficult due to their lack of experience. However, this should not stop a novice researcher from engaging in research studies. If a novice researcher is asked to develop a new tool to collect patient data, the novice researcher must first perform a literature review and establish a framework (Brannan, Dumsha & Yens, 2013). Once these are done, then creating the method for the study including the tool to collect data is next. The researcher should keep the design of the study simple and standardized but detailed enough that other researchers would be able to duplicate the study exactly (Brannan et al, 2013). Because anxiety is a feeling that can only be self-reported, collecting data in a narrative or qualitative format would be ideal. According to Rose and Devine (2014), anxiety measuring instruments can be generic or specific depending on the anxiety. Since the peer or manager is specifically wanting data about anxiety prior to the procedure, a the more specific questionnaire tool should be used. 2nd person to respond to (Reji) Dear Reji, You are correct that selecting the appropriate statistical analysis method for research studies can be challenging, but it is crucial for obtaining valid and reliable results. In nursing research, different statistical tests are used depending on the study design and the research question. For example, parametric tests such as t-tests and ANOVA are used for normally distributed continuous data, while non-parametric tests such as Mann-Whitney U test and Kruskal-Wallis test are used for non-normally distributed data (Polit & Beck, 2017). Furthermore, it is essential to ensure that the assumptions of the selected statistical test are met before conducting the analysis. Violating the assumptions can lead to inaccurate results and conclusions. Therefore, researchers should carefully examine the data for normality, homogeneity of variance, and independence before choosing a statistical test (Polit & Beck, 2017). In your research study, as you mentioned, you are using a pretest-posttest design to evaluate the effectiveness of an intervention. A paired t-test would be an appropriate statistical test for analyzing the differences between the pretest and post ”