NURS 8201 Week 4 Levels of Measurement
Walden University NURS 8201 Week 4 Levels of Measurement-Step-By-Step Guide
This guide will demonstrate how to complete the Walden University NURS 8201 Week 4 Levels of Measurement assignment based on general principles of academic writing. Here, we will show you the A, B, Cs of completing an academic paper, irrespective of the instructions. After guiding you through what to do, the guide will leave one or two sample essays at the end to highlight the various sections discussed below.
How to Research and Prepare for NURS 8201 Week 4 Levels of Measurement
Whether one passes or fails an academic assignment such as the Walden University NURS 8201 Week 4 Levels of Measurement depends on the preparation done beforehand. The first thing to do once you receive an assignment is to quickly skim through the requirements. Once that is done, start going through the instructions one by one to clearly understand what the instructor wants. The most important thing here is to understand the required format—whether it is APA, MLA, Chicago, etc.
After understanding the requirements of the paper, the next phase is to gather relevant materials. The first place to start the research process is the weekly resources. Go through the resources provided in the instructions to determine which ones fit the assignment. After reviewing the provided resources, use the university library to search for additional resources. After gathering sufficient and necessary resources, you are now ready to start drafting your paper.
How to Write the Introduction for NURS 8201 Week 4 Levels of Measurement
The introduction for the Walden University NURS 8201 Week 4 Levels of Measurement is where you tell the instructor what your paper will encompass. In three to four statements, highlight the important points that will form the basis of your paper. Here, you can include statistics to show the importance of the topic you will be discussing. At the end of the introduction, write a clear purpose statement outlining what exactly will be contained in the paper. This statement will start with “The purpose of this paper…” and then proceed to outline the various sections of the instructions.
How to Write the Body for NURS 8201 Week 4 Levels of Measurement
After the introduction, move into the main part of the NURS 8201 Week 4 Levels of Measurement assignment, which is the body. Given that the paper you will be writing is not experimental, the way you organize the headings and subheadings of your paper is critically important. In some cases, you might have to use more subheadings to properly organize the assignment. The organization will depend on the rubric provided. Carefully examine the rubric, as it will contain all the detailed requirements of the assignment. Sometimes, the rubric will have information that the normal instructions lack.
Another important factor to consider at this point is how to do citations. In-text citations are fundamental as they support the arguments and points you make in the paper. At this point, the resources gathered at the beginning will come in handy. Integrating the ideas of the authors with your own will ensure that you produce a comprehensive paper. Also, follow the given citation format. In most cases, APA 7 is the preferred format for nursing assignments.
How to Write the Conclusion for NURS 8201 Week 4 Levels of Measurement
After completing the main sections, write the conclusion of your paper. The conclusion is a summary of the main points you made in your paper. However, you need to rewrite the points and not simply copy and paste them. By restating the points from each subheading, you will provide a nuanced overview of the assignment to the reader.
How to Format the References List for NURS 8201 Week 4 Levels of Measurement
The very last part of your paper involves listing the sources used in your paper. These sources should be listed in alphabetical order and double-spaced. Additionally, use a hanging indent for each source that appears in this list. Lastly, only the sources cited within the body of the paper should appear here.
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Sample Answer for NURS 8201 Week 4 Levels of Measurement
In the previous discussions, the practice problem in nursing identified that needed further intervention was based on limited use of health information technology to support mental healthcare services (Snyder et al., 2011). The discussion proposed that digital informatics technology can be implement to support mental healthcare service by enhancing access to the services, reduce waiting time, increase capacity to provide services to many people and support timely appointed, Consequently, the research question was developed as “What impacts will the implementation of digital informatics technology in the mental health services have on waiting time, capacity, access to services and preferred appointment times?. In this discussion, the paper focuses on the above proposed research question to describe independent and dependent variables, the level of measurement, and consideration that need to be taken when analyzing data related to the identified variable. The discussion also identifies some of the advantages and challenges that may be experienced in the statistical analysis of each variable.
The Independent and Dependent Variables
In research/project, variables can be defined as the properties or kinds of attributes of certain events or objects and can be divided into dependent and independent variable. The two variables are different. First, independent variables are those characteristics/attributes that can be changed or manipulated in the study and their effects are measured and compared (Gray, Grove & Sutherland, 2021). The independent variables predict the values of the dependent variable in given model. On the other hand, dependent variables measure the impact of the independent variable(s) on the test unit (Gray, Grove & Sutherland, 2021).
In the proposed research question “What impacts will the implementation of digital informatics technology in the mental health services have on waiting time, capacity, access to services and preferred appointment times?, the independent variable is digital informatics technology. On the other hand, dependent variable are the effects that would result from the implementation of digital informatics technology in the mental health services and include waiting time, capacity, access to services and preferred appointment times.
The Level of Measurement of Variables
The independent variable is digital informatics technology whose implementation would result into improved or reduced outcome in mental healthcare setting. Therefore, the level of measurement is nominal. The normal level that would be used to label the outcome of digital informatics technology on mental healthcare service is either improved no effect or reduced outcome. When it comes to statistical analysis, nominal data will not be utilized to perform many statistical computations.
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When it comes to dependent variable, the level of measurement for waiting time is interval scale in which a rating scale will be used to represent the range of average time take by patient before meeting the doctor. The level of measurement for access to services and preferred appointment times will also be ordinal because it will be used to depict order of satisfaction (Granberg-Rademacker, 2010).
A consideration that needs to be taken when analyzing wait time, access to services and preferred appointment times as the dependent variable is the scale to use. For instance, the level of satisfaction with access to services and preferred appointment times can be measured using Likert Scales. Likert scales can be designed to include ordinal measure ranging from 1 to 5 to strongly disagree (1) to strong agree (5). The statistical analysis for access to services and preferred appointment times can include logistic regression. The advantage of logistic regression is that will be able to show direction of association (positive or negative) between dependent and independent variable. However, if the result is non-linear, it can be difficult to solve using logistic regression because it has a linear decision surface (Lee, & S, George, 2012). Finally, waiting time can be measured on interval scale and a possible statistical analysis if t-tests. The advantage of t-test is that values obtained from Likert scales are quantitative and therefore, easy to analyze (Liang, Fu & Wang, 2019).
References
Granberg-Rademacker, J. S. (2010). An algorithm for converting ordinal scale measurement data to interval/ratio scale. Educational & Psychological Measurement, 70(1), 74–90.
Gray, J.R., Grove, S.K., & Sutherland, S. (2021). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (9th ed.). Saunders Elsevier.
Lee, A. J. J., & George A.F.A.F. (2012). Linear Regression Analysis. Wiley.
Liang, G., Fu, W., & Wang, K. (2019). Analysis of t-test misuses and SPSS operations in medical research papers. Burns & Trauma, 7.
Snyder, C. F., Wu, A. W., Miller, R. S., Jensen, R. E., Bantug, E. T., & Wolff, A. C. (2011). The Role of Informatics in Promoting Patient-Centered Care. The Cancer Journal, 17, 4, 211-218.
Sample Answer 2 for NURS 8201 Week 4 Levels of Measurement
Alternatives in Levels of Measurement
Beginning with your variables, I would agree that your independent variable is the use of a Smart Dose blister pack medication distribution system, and your dependent variables are both adherence and compliance. You could use the nominal or ordinal level of measurement for your independent variable. Because the distribution system represents a specific category and does not involve any systematic ordering or ranking, it can be at the nominal level. If you were to assess the patients’ preferences through a survey based on their satisfaction ranking from “very satisfied” to “least satisfied,” you could use the ordinal level of measurement (Faisal et al., 2022).
For your dependent variable, you could use the interval or ratio level of measurement in measuring adherence and/or compliance. At the interval level, you can use an interval scale to quantify medication adherence by emphasizing the percentage of prescribed doses taken or to quantify compliance by emphasizing the correctness of dosing time (Izzah et al., 2022).
Alternative Statistical Analysis Method
You have a few good options methods to use for your research data. First, you could use descriptive statistics which would require you to summarize the adherence data into Smart Dose blister pack users and non-users. Then, you would calculate the mean, median, standard deviation, and percentiles of your data to receive an overview of adherence levels from both groups. Since you are measuring data continuously over a 6-month period, a t-test or a Mann-Whitney U test are also acceptable methods. Similar to the descriptive statistics method, the t-test and Mann-Whitney U test compare the means and medication of Smart Dose blister pack users and non-users.
References
Faisal, S., Ivo, J., Tennant, R., Prior, K.-A., Grindrod, K., McMillan, C., & Patel, T. (2022). Integration of a smart multidose blister package for medication intake: A mixed method ethnographic informed study of older adults with chronic diseases. PLOS ONE, 17(1), e0262012. https://doi.org/10.1371/journal.pone.0262012Links to an external site.
Izzah, Z., Zijp, T. R., Åberg, C., Touw, D. J., & van Boven, J. F. (2022). Electronic Smart Blister Packages to Monitor and Support Medication Adherence: A Usability Study. Patient Preference and Adherence, Volume 16, 2543–2558. https://doi.org/10.2147/ppa.s374685