NURS 8200 Discussion 1: Levels of Measurement

Walden University NURS 8200 Discussion 1: Levels of Measurement?-Step-By-Step Guide

This guide will demonstrate how to complete the Walden University NURS 8200 Discussion 1: 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 8200 Discussion 1: Levels of Measurement?

Whether one passes or fails an academic assignment such as the Walden University NURS 8200 Discussion 1: 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 8200 Discussion 1: Levels of Measurement?

The introduction for the Walden University NURS 8200 Discussion 1: 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 8200 Discussion 1: Levels of Measurement?

After the introduction, move into the main part of the NURS 8200 Discussion 1: 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 8200 Discussion 1: 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 8200 Discussion 1: 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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Grove, 2020; Polit & Beck, 2020). There are two types of variables, independent and dependent variables (Gray & Grove, 2020). My research question is “Can implementing an educational program promote positive nursing practice change by increasing staff usage of the PHQ-9 questionnaire for screening depression inpatients in primary care settings?”. Using my research question, the independent variables are an educational program, and not implementing the educational program. Independent variables are research measures that are manipulated by the researcher during a study (Gray & Grove, 2020; Polit & Beck, 2020). As the researcher, I will be able to control the implementation of the educational program. On the other hand, the dependent variables in my research question include positive nursing practice change and staff usage of the PHQ-9 questionnaire for screening depression. Dependent variables are outcome measures that are subject to change depending on the researcher’s manipulation of the independent variables a research study (Gray& Grove, 2020; Polit & Beck, 2020). The outcomes of positive nursing practice change and staff usage of the PHQ-9 questionnaire for screening depression will be dependent on the implementation process of the educational program.

There are four levels of measurement for the varying variables in a research study, nominal, ordinal, interval and ratio intervals (Gray & Grove, 2020). The level of measurement for the positive nursing practice change variable is the ordinal level because the outcome will be

measured by either “positive change” or “no change” (Gray & Grove, 2020; Polit & Beck,2020). The level of measurement for the staff usage of the PHQ-9 questionnaire for screening depression variable is the interval level because I will use a test score to categorize the

staff usage of the PHQ-9 questionnaire for screening depression in equal intervals (Gray &rove, 2020; Polit & Beck, 2020).

The advantage of using the ordinal measurement for the positive nursing practice change.

variable is the ease of collating and categorizing data for extensive statistical analysis (Gray &

Grove, 2020; Polit & Beck, 2020). However, ordinal level of measurement uses surveys and

questionnaires for data collection predisposing a risk for narrow responses that may create

bias (Gray & Grove, 2020; Polit & Beck, 2020). On the other hand, using the interval level for

measuring the staff usage of the PHQ-9 questionnaire for screening depression is the ability to

assess a wide scope of data and categorize the data in equal intervals (Gray & Grove, 2020; Polit

& Beck, 2020). Moreover, the mean and standard deviation, and range of the data can be

obtained (Gray & Grove, 2020; Polit & Beck, 2020). However, it lacks an absolute zero (Gray &

Grove, 2020; Polit & Beck, 2020).

NURS 8200 Discussion 1: Levels of Measurement

Research Question

In sleep apnea patients (P), how does the treatment of OSA with CPAP (I) compared with no treatments (C) reduce the risk of cardiovascular diseases (O)?

Independent and Dependent Variables

Independent variable: Treatment of OSA with CPAP. It does not vary. It is not dependent upon other variables

Dependent variable: Cardiovascular disease. Cardiovascular disease is the dependent variable because not everyone has this disease. Its value depends on changes in the independent

Level of Measurement of Both the Independent and Dependent variables

Measurement involves assigning numbers to qualities of people or objects to designate the quantity of the attribute. There are four different levels of measurement: nominal, ordinal, interval, and ratio (Polit & Beck, 2020).

Ordinal measurement will be used for my independent variable. Rationale: This will be the best measurement to rate patients’ improvement using CPAP from 1 to 10. The ordinal measurement will be a great tool when evaluating the Epworth Sleepiness Scale ( ESS) for my sleep apnea patients to compare the ESS score before the use of CPAP and while using Something measured on an ordinal scale does have an evaluative connotation (Bond C.M, 2019).

Interval measurement will be used for my dependent variable. I will use the interval measurement to get greater analytic flexibility, more robust statistical options, and a more significant amount of information than at the lower levels (Polit & Beck, 2020).

Discuss considerations of analyzing data related to each variable based on its level of measurement. What are the advantages, or disadvantages, of the levels of the variables of measurements?

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When analyzing information from a quantitative study, we are often dealing with numbers; therefore, it is essential to understand the

source of the numbers. The term variable defines a specific item of information collected in a study. Examples of variables include age, sex or gender, ethnicity, exercise frequency, weight, treatment group, and blood glucose. Each variable will have a group of categories, which are referred to as values, to help describe the character of an individual study participant. For example, the variable “sex” would have values of “male.” and “female” (Bond C.M, 2019).

An ordinal variable implies that the categories can be placed in a meaningful order, as would be the case for exercise frequency (never, sometimes, often, or permanently). Nominal-level Furthermore, ordinal-level variables are also referred to as categorical variables because each category in the variable can be separated from the others. The categories for an interval variable can be placed in a meaningful order, with the interval between consecutive types also having meaning. Age, weight, and blood glucose can be considered interval variables and ratio variables because the ratio between values has meaning (e.g., a 15-year-old is half the age of a 30-year-old). Interval-level and ratio-level variables are also referred to as continuous variables because of the underlying continuity among categories (Simpson, 2018).

As we progress through the levels of measurement from nominal to ratio variables, we gather more information about the study participant. The amount of information that a variable provides will become important in the analysis stage because we lose information when variables are reduced or aggregated, a common practice that is not recommended. For example, if age is lowered from a ratio-level variable (measured in years) to an ordinal variable (categories of < 65 and ≥ 65 years), we lose the ability to make comparisons across the entire age range and introduce error into the data analysis (Simpson, 2018).

References

Bond C.M. ( 2019). The research jigsaw: how to get started. Can J Hosp Pharm., 67(1):28–30.

Simpson S. H. (2018). Creating a Data Analysis Plan: What to Consider When Choosing Statistics for a Study. The Canadian journal of hospital pharmacy, 68(4), 311–317. https://doi.org/10.4212/cjhp.v68i4.1471

Polit, D. F., & Beck, C. T. (2020). Essentials of nursing research: Appraising evidence for nursing practice. Lippincott Williams & Wilkins.

Your research question, “Can an improvement in ethical and compassionate practices from healthcare workers reduce relapse and death for dual diagnosis patients in addiction treatment centers?” is well-thought-out and addresses a crucial aspect of mental health and substance abuse treatment. You’ve correctly identified the independent variable (improvement of ethical and compassionate practices) and the dependent variable (reduction in relapse and death). Your approach to making the independent variable measurable through specific actions like one-to-one attention and assurance of patient rights is commendable. This specificity level will help in accurately assessing the impact of these practices.

You’re right in emphasizing the importance of accurate and reliable data collection. Ensuring the validity and reliability of the measurements and considering the potential challenges in data recording are essential steps in research. Your insight into the need to stay focused on specific variables to obtain valid results is astute and shows a deep understanding of the research process.

A follow-up question: How do you plan to address potential confounding factors that could influence the outcomes of dual-diagnosis patients, such as socioeconomic status or access to healthcare resources?