The Professor Ask Me Also This Questionnaire You Developing

The professor ask me also this questionare you developing a survey

1- The professor ask me also this questionare you developing a survey or using one that is available? What would be some of the problems with using your own survey related to measurement? 2-Please make me a response to this peer post. Has to be no less than 150 words. Rainel Leon posted Apr 5, :09 PMSubscribe Professor and class Researchers use instruments as a measurement device and they can be categorized as researcher-completed and subject completed depending on who administered or completed respectively.

Based on the research question, researchers select what instrument they are going to use. Some researcher-completed instruments are rating scales, interviews, flowcharts, checklists, time and-motion logs, observation forms, etc. Some of the subject-completed instruments are questionnaires, attitude scales, personality inventories, achievement tests, sociometric devices, etc. In my proposed research project I am going to use a the Readmission Rate , based on a relation between the total number of patients discharged home with the diagnosis of Congestive Heart Failure and an inpatient admission for decompensating Cardiac Heart Failure within 30 days of the discharge .This number is going to be the numerator of the fraction.

The denominator is going to be those all patients discharge from the hospital with the diagnosis of Cardiac Heart Failure and the number is going in the last three months. The denominator is going to be common for the two groups the experimental group and the control group. All patients included in the investigation will be applied the LACE Index. The LACE Index is a tool to evaluate the Risk of readmission of a patient admitted in the hospital, and it is used as a predictor of readmissions. It consists of 4 parameters as described below: Length of stay It will score 0,1,2,3,4,5,7 according to the days of stay: less than 1, 1, 2,3,4-6, 7-13, >=14 respectively.

Acuity if it was emergent admission it will score 3. Comorbidities will be assessed by Charlson score .No comorbidities will score 0, 1 Comorbidity scores 1, 2 Comorbidities scores 2, 3 comorbidities scores 3, and more than 4 scores 5. Emergency department visits on the last six months No visits 0, 1 visit scores 1, 2 visits scores 2, 3 visits scores 3, and 4 or more scores 4. According to the classification of the measurement tools this level of measurement is considered as ordinal. The interpretation of the LACE Index is that if the Index scores is 0-3 there is a low risk of readmissions, if it is between 4 and 9 the risk is moderate , and if it is more than 9 the risk is high. References Gray, J., Grove, S., & Sutherland, S. (2017). Burns & Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence . St. Louis, Missouri: Elsevier. Retrieved from Types of data & measurements scales: Nominal, ordinal, interval and ration. (2018). Retrieved from nominal-ordinal-interval-ratio/

Paper For Above instruction

The process of developing or selecting an appropriate survey instrument is fundamental in ensuring the accuracy and reliability of research findings. When a researcher opts to create their own survey rather than utilize an existing instrument, several issues related to measurement validity, reliability, and practicality can arise. These challenges include ensuring that the survey accurately captures the constructs of interest, is tested for consistency, and is comprehensible to respondents. Crafting a new survey requires rigorous validation processes and pilot testing, which are time-consuming and resource-intensive. Furthermore, custom surveys might lack established benchmarks, making comparison with previous studies difficult. On the other hand, using pre-existing instruments offers benefits such as proven reliability, validity, and ease of administration, but may not perfectly align with the specific nuances of a new research question. In my understanding, if a researcher develops a proprietary survey, it is crucial to address potential measurement problems such as measurement bias, ambiguity in questions, and the validity of the constructs being assessed. For instance, poorly worded questions or ambiguous response options can lead to inconsistent or inaccurate data, thus compromising the validity of the research outcomes. Moreover, when establishing a measurement tool, deciding the appropriate level of measurement—nominal, ordinal, interval, or ratio—is vital, as it influences data analysis techniques. For example, in the peer's project involving the LACE Index, the ordinal level of measurement is evident, as the scoring categorizes risk levels rather than precise quantities. Ultimately, whether developing a new survey or adopting an existing one, ensuring measurement validity and reliability is critical to obtaining meaningful and accurate results.

References

• Gray, J., Grove, S., & Sutherland, S. (2017). Burns & Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence. Elsevier.
• Polit, D. F., & Beck, C. T. (2017). Nursing research: Generating and assessing evidence for nursing practice. Wolters Kluwer.
• DeVellis, R. F. (2016). Scale development: Theory and applications. Sage publications.
• Fink, A. (2015). How to conduct surveys: A step-by-step guide. Sage Publications.
• Hinkin, T. R. (2016). A brief tutorial on the development of measures for use in survey questionnaires. Organizational Research Methods, 9(2), 170–197.
• Portney, L. G., & Watkins, M. P. (2015). Foundations of clinical research: Applications to practice. FA Davis.
• Fowler, F. J. (2014). Survey research methods. Sage publications.
• Bradburn, N. M., Sudman, S., & Wansink, B. (2004). Asking questions: The definitive guide to questionnaire design. Jossey-Bass.
• Salant, P., & Dillman, D. A. (2016). How to conduct your own survey: Leading professional give you the tools and techniques. John Wiley & Sons.
• Kim, J. O., & Mueller, C. W. (2009). Factor analysis: Statistical法ssessment of measurement models. Sage Publications.