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Using this Discussion, post questions you have about using SPSS and collaborate with your colleagues to complete Assignment 2, assigned and due this week

Using this Discussion, post questions you have about using SPSS and collaborate with your colleagues to complete Assignment 2, assigned and due this week

Walden University Using this Discussion, post questions you have about using SPSS and collaborate with your colleagues to complete Assignment 2, assigned and due this week-Step-By-Step Guide

 

This guide will demonstrate how to complete the Walden University  Using this Discussion, post questions you have about using SPSS and collaborate with your colleagues to complete Assignment 2, assigned and due this week  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 Using this Discussion, post questions you have about using SPSS and collaborate with your colleagues to complete Assignment 2, assigned and due this week

 

Whether one passes or fails an academic assignment such as the Walden University    Using this Discussion, post questions you have about using SPSS and collaborate with your colleagues to complete Assignment 2, assigned and due this week 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 Using this Discussion, post questions you have about using SPSS and collaborate with your colleagues to complete Assignment 2, assigned and due this week

The introduction for the Walden University  Using this Discussion, post questions you have about using SPSS and collaborate with your colleagues to complete Assignment 2, assigned and due this week 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 Using this Discussion, post questions you have about using SPSS and collaborate with your colleagues to complete Assignment 2, assigned and due this week

 

After the introduction, move into the main part of the   Using this Discussion, post questions you have about using SPSS and collaborate with your colleagues to complete Assignment 2, assigned and due this week 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   Using this Discussion, post questions you have about using SPSS and collaborate with your colleagues to complete Assignment 2, assigned and due this week

 

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   Using this Discussion, post questions you have about using SPSS and collaborate with your colleagues to complete Assignment 2, assigned and due this week

 

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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NURS 8200 Discussion 2: Peer Support: Using SPSS

Statistical tools are important elements. In nursing research, statistical tools are used to evaluate deter, document, and present results that can be interpreted and used to support evidence-based practice (Polit, 2010). The statistical tools help nurses to apply the most current and up-to-date research results and evidence to improve patient care delivery. One of the statistical tools that can be used in analyzing nursing research data is SPSS Statistics. According to Ozgur, Li, and Kleckner (2015), SPSS was originally known as Statistical Package for the Social Sciences. The tool was released for application in the year 1968 and has been applied in various social science research (McDonald, Vieira & Johnston, 2020).

A major benefit of SPSS highlighted by authors such as Ozgur, Li, and Kleckner (2015) is that the tool provides the user with easy-to-use interface and is intuitive for different types of users.  SPSS has menu and dialogue boxes that provide futures and tools to make it easy to perform several analyses without the need to put down command syntax. It is also easy and simple to insert and edit data in the SPSS program directly. According to McDonald, Vieira, and Johnston (2020), SPSS does look almost the same as typical spreadsheet applications that most people are familiar with such as Excel and therefore, its application can be compared to that of Excel.

Personally, I have never used SPSS before and this will be my first time. My research question is composed of the questionnaire that will be assessed based on the Likert scale, is it possible to perform a Ch-Square test using SPSS to measure the questionnaire.

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References

Design. (2017, November 30). 01 SPSS for Beginners – How to use SPSS introduction [Video File]. Retrieved from https://www.youtube.com/watch?v=_zFBUfZEBWQ.

McDonald, S., Vieira, R., & Johnston, D. W. (2020). Analysing N-of-1 observational data in health psychology and behavioural medicine: a 10-step SPSS tutorial for beginners. Health Psychology and Behavioral Medicine, 8, 1, 32-54.

Ozgur, C., Li, Y., & Kleckner, M. (2015). Selection of Statistical Software for Solving Big Data Problems: A Guide for Businesses, Students, and Universities. Sage Open, 5, 2.

Polit, D. (2010). Statistics and data analysis for nursing research (2nd ed.). Upper Saddle River, NJ: Pearson Education Inc.

Correlations

Correlational studies or research plays a crucial role in helping researchers gain insight into how particular study variables are related. Through correlational statistics or studies, individuals get to know the strength of a correlation between the variables, and through careful interpretation, a researcher can have an idea if there is a statistically relevant relationship or association (Janse et al.,2021). Therefore, the purpose of this assignment is to explore how to interpret results obtained through a correlational analysis. As such, a correlation SPSS output will be evaluated, and various questions will answered.

The Strongest Correlation In the Matrix

In the provided output, the strongest correlation is between Body Mass Index and weight pounds. It is evident that the Pearson correlation coefficient for the relationship between BMI and Weight-pounds is 0.937. It is important to note that this relationship is significant as a two-tailored significance has been pegged at 0.01 (Makowski et al.,2020).

The Weakest Correlation In the Matrix

            It is also important to explore the weakest correlation in the matrix. From the output, the weakest correlation is the correlation between the Body Mass Index and SF12: Mental Health Component score, standardized. The correlation value is -0.078, which indicates a weak correlation.

The Number of Original Correlations In the Matrix

From the provided output, there are a total of nine correlations. The correlation includes Number of doctor visits, past 12 months and Body Mass Index, Number of doctor visits, past 12 months, and SF12: physical health component score. The next is the Number of doctor visits, past 12 months, and SF12: Mental Health Component Score, standardized; the BMI and SF12: Physical Health Component Score standardized, and Body Mass Index and Weight-pounds. The next correlations are BMI and Weight, SF12: Physical Health Component Score, standardized, and SF12: Mental Health Component Score, standardized. The other includes SF12:Physical Health Component Score, standardized and Body Mass Index, SF12: Mental Health Component Score, standardized, and Number of doctor visits, past 12 months.

What the Entry of 1.00 Indicates on the Diagonal of the Matrix

            The entry of 1.00 on the diagonal matrix indicates that each variable is in perfect correlation with itself (Pandey, 2020). It is easily observable as it is indicated from the top left to the bottom right of the main diagonal.

The Strength and Direction of The Relationship Between BMI and Physical Health

Component Subscale

            The strength of the correlation between body mass index and the physical health component subscale is -0.134. In terms of direction, it is negative, which implies that when the BMI increases, the physical health component subscale decreases. It implies that the two variables are inversely related. In addition, it shows a weak relationship.

The Variable That Is Most Strongly Correlated With BMI, Coefficient, and Sample Size

            From the SPSS output, the variable that is most strongly correlated with Body Mass Index is the Weigh-pounds. The correlational coefficient between the two variables is 0.937. In addition, the sample size for the relationship between Body Mass Index and Weight-pounds is 970. The correlation indicates a very strong positive relationship. The direction is positive, which shows that when the Body Mass Index is high, there is a substantial increase in the weight in pounds. In addition, the strong positive correlation is an indication that a positive and close connection exists between weight in pounds and body mass index.

The Mean and Standard Deviation for BMI and Doctor Visits

From the output, the mean for Body Mass Index is 29.222, with a standard deviation of 7.379. In addition, the mean for the Number of Doctor Visits in the past 12 months is 6.80, with a standard deviation of 12.720.

The Mean and Standard Deviation for Weight and BMI

            From the provided output, the mean for BMI is 29.22, with a standard deviation of 7.38. besides, the mean of weight-pounds is 171.462, with a standard deviation of 7.38.

The Strength and Direction of the Relationship Between Weight and BMI

The relationship between weight and BMI is positive and very strong, as the correlation coefficient is 0.937. The positive sign is an indication that when BMI increases, the weight also increases notably.

Description of Scatterplot and the Information It Provides to the Researcher

Scatterplots are applied to help show the connection between variables. The scatterplot provided in the output displays a relationship between weight and Body Mass Index. The dots in the scatter plot show particular data points, and they can be used to determine patterns. In instances where the horizontal values are given, it becomes easier to predict the vertical value (Ali & Younas, 2021). In the output offered, the distribution of the scatter plots is concentrated in one region. Besides, the distance between the dots is negligible. There is a positive correlation between the variables. There is also a BMI outlier point, which shows that weight may have a higher effect on BMI.

Conclusion

This assignment has entailed an exploration of an SPSS output showing correlational analysis. Therefore, various aspects have been explored, including mean, standard deviation, and the magnitude of the relationships. In addition, the direction of relationships has also been explored and discussed.

References

Ali, P., & Younas, A. (2021). Understanding and interpreting regression analysis. Evidence-Based Nursing. https://doi.org/10.1136/ebnurs-2021-103425

Janse, R. J., Hoekstra, T., Jager, K. J., Zoccali, C., Tripepi, G., Dekker, F. W., & van Diepen, M. (2021). Conducting correlation analysis: important limitations and pitfalls. Clinical Kidney Journal14(11), 2332-2337. https://doi.org/10.1093/ckj/sfab085

Makowski, D., Ben-Shachar, M. S., Patil, I., & Lüdecke, D. (2020). Methods and algorithms for correlation analysis in R. Journal of Open Source Software5(51), 2306. https://joss.theoj.org/papers/10.21105/joss.02306.pdf

Pandey, S. (2020). Principles of correlation and regression analysis. Journal of the Practice of Cardiovascular Sciences6(1), 7-11. Doi: 10.4103/jpcs.jpcs_2_20