Watch This Video Featuring Dr. Kevin Kuznia, Academic Depart

Watch This Video Featuring Dr Kevin Kuznia Academic Department Chair

Watch this video featuring Dr. Kevin Kuznia, Academic Department Chair. Review chapters 8 and 9 of your textbook. In this week’s discussion, you identified parameters for your sample population. You will now create a survey proposal that is thorough and persuasive to secure leadership sponsorship. Your proposal should explain why you want to conduct the survey and what you hope to gain from the responses. Identify the type(s) of data you plan to collect. Outline the parameters for the survey, considering management’s informational needs. Develop 10 sample questions for the survey, ensuring they are well-designed and relevant to common issues.

In your paper, justify your choice of questions and describe their relevance. Remember to include an introduction with a clear thesis statement, and a conclusion that summarizes your proposal. The paper should be two to three double-spaced pages, formatted in APA style, excluding the title and references pages. Include a separate title page with the required details and a references page citing credible sources in APA format. Utilize academic voice throughout your writing. Follow APA guidelines for citations and references, and ensure your submission adheres to the grading rubric criteria.

Paper For Above instruction

The purpose of this survey proposal is to demonstrate the importance and effectiveness of gathering targeted data from a specific sample population in order to inform decision-making processes within the organization. Conducting this survey aims to provide leadership with valuable insights into the attitudes, perceptions, and behaviors of employees or customers, depending on the focus of the study. By understanding these parameters, management can develop strategies that improve operational efficiency, employee satisfaction, or customer experience, leading to better organizational outcomes. The expected gains from the survey responses include actionable data that can shape policy changes, enhance communication strategies, and identify areas needing improvement.

Understanding the type(s) of data to be collected is crucial for the survey’s success. Quantitative data, such as rating scales or multiple-choice questions, can help ascertain the prevalence of specific attitudes or behaviors. Qualitative data, gathered through open-ended questions, can enrich understanding by capturing nuanced opinions and suggestions. The combination of both data types provides a comprehensive view that supports evidence-based decision-making. For example, quantitative data may reveal that 75% of employees are dissatisfied with current communication channels, while qualitative responses could shed light on specific frustrations and ideas for improvement.

The parameters for the proposed survey involve defining the target population, which could include employees, students, or customers, depending on organizational needs. Criteria such as demographic factors (age, tenure, department) should be considered to ensure the data collected is representative and relevant. Additionally, the scope of the survey must be manageable, focusing on key issues that align with management priorities. Ethical considerations, including anonymity and voluntary participation, should also be incorporated to foster honest and reliable responses.

The 10 sample questions selected for the survey are designed to elicit clear, unbiased responses aligned with the identified parameters. Questions include rating scales, multiple-choice, and open-ended formats covering topics such as job satisfaction, communication effectiveness, training opportunities, and workplace environment. For instance, a question might ask, “On a scale of 1 to 5, how satisfied are you with the current communication channels within your department?” The reasoning behind this range of questions is to gather both quantifiable metrics and qualitative insights, aligning with best practices in survey design (Fowler, 2014). These questions are intended to identify specific pain points and strengths, enabling targeted interventions.

Effective survey questions must be clear, concise, and free of bias. They should also avoid leading language and double-barreled questions that combine multiple issues into one. Each question was chosen deliberately to address areas critical to organizational success and to ensure data collected can be analyzed with confidence. For example, open-ended questions allow respondents to express detailed opinions that might not be captured through closed questions, adding depth to the quantitative findings. Overall, the goal is to produce reliable, valid data that supports strategic decision-making.

In conclusion, this survey proposal outlines a well-structured plan to collect meaningful data to support organizational improvements. By carefully defining parameters, selecting appropriate questions, and justifying their relevance, the survey aims to provide leadership with actionable insights. Ensuring ethical standards and robust design principles are incorporated throughout will maximize the effectiveness of the data collection process, ultimately contributing to informed management decisions that foster organizational growth and success.

References

• Fowler, F. J. (2014). Survey research methods (4th ed.). Sage Publications.
• Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage Publications.
• Dillman, D. A., Smyth, J. D., & Christian, L. M. (2014). Internet, phone, mail, and mixed-mode surveys: The tailored design method. John Wiley & Sons.
• Bradburn, N. M., Sudman, S., & Wansink, B. (2004). Asking questions: The definitive guide to questionnaire design. Jossey-Bass.
• Edwards, P. J., Roberts, I., Clarke, M. J., et al. (2009). Methods to increase response to postal and electronic questionnaires. Cochrane Database of Systematic Reviews, (3), MR000008.
• Bryman, A. (2016). Social research methods (5th ed.). Oxford University Press.
• Krosnick, J. A., & Presser, S. (2010). Question and questionnaire design. In P. V. Lavrakas (Ed.), The web of social science (pp. 263–293). Sage.
• Schofield, T. (2011). An introduction to social science research. Routledge.
• Sullivan, G. M., & Artino, A. R. (2013). Analyzing and interpreting data from Likert-type scales. Journal of Graduate Medical Education, 5(4), 541–542.
• Moore, D. S., Notz, W. I., & Flinger, M. A. (2012). Statistics: Concepts and controversies (8th ed.). W. H. Freeman & Company.