2)¨**********APA norms  (All paragraphs must be and cited in the text- each paragraphs- bulleted responses are not accepted.) 4) Minimum 2 references not older than 5 years 5) Each answer must be identified according to the question number. Check the list of questions. Your answer should start objectively answering the question Question: 1)………… 2)………… 3)………… Answer: 1)………… 2)………… 3)………… _______________________________________________________ 1) How can you guarantee validity and feasibility in your research study with a mix method?

1) Introduction: Validity and feasibility are two important considerations in research studies, especially when using a mixed methods approach. Validity refers to the extent to which a study accurately measures or assesses what it aims to measure or assess. Feasibility, on the other hand, refers to whether the research study is practical and can be carried out with the available resources. In this response, we will discuss strategies to ensure both validity and feasibility in a mixed methods research study.

2) Ensuring Validity:
a) Triangulation: Triangulation involves using multiple sources of data, such as interviews, observations, and surveys, to validate findings. By collecting data from different sources, researchers can gain more confidence in the accuracy and reliability of their results. For example, if the findings from interviews align with the survey responses, it adds credibility to the study’s conclusions.

b) Credibility and Transferability: Establishing credibility and transferability of the findings is crucial in mixed methods research. Credibility refers to the degree to which the findings are trustworthy and believable. To enhance credibility, researchers should use techniques such as member checking, where participants review and validate the findings, and peer debriefing, where other researchers review the study design and findings.

c) Validity of Instruments: When using mixed methods, researchers often employ quantitative and qualitative instruments. Validating these instruments is essential in ensuring the accuracy of the data collected. For quantitative instruments, researchers may use established measures with established reliability and validity. For qualitative instruments, such as interview protocols, researchers should design questions that are clear, unbiased, and aligned with the research objectives.

3) Ensuring Feasibility:
a) Resources: One of the key considerations in a research study’s feasibility is the availability of resources, including time, financial support, and human resources. Researchers should carefully assess the resources needed to carry out the study and ensure that they are accessible and sufficient. Adequate planning and budgeting can help mitigate potential feasibility constraints.

b) Participant Recruitment: In a mixed methods study, recruiting participants for both quantitative and qualitative components can pose challenges. To enhance feasibility, researchers should carefully plan and strategize participant recruitment, considering factors such as sample size, eligibility criteria, and recruitment methods. Collaborating with organizations or institutions that have access to the target population can help streamline participant recruitment.

c) Data Collection and Analysis: Feasibility also relates to the practicality of collecting and analyzing data within the available resources and timeframe. Researchers should consider the time and effort required for data collection methods, such as surveys, interviews, or observations. Additionally, they should plan for adequate staffing and expertise to handle the data analysis phase. Utilizing software or tools that streamline data management and analysis can help enhance feasibility.

4) Conclusion: Validity and feasibility are essential aspects of a mixed methods research study. Researchers can ensure validity by employing triangulation, establishing credibility, and using validated instruments. Feasibility can be enhanced through careful resource planning, participant recruitment strategies, and pragmatic data collection and analysis methods. By addressing these considerations, researchers can conduct rigorous and practical mixed methods studies that contribute to scientific knowledge in their respective fields.