Discussion

Discussion

Seasoned nurse educators possess wisdom about teaching (a kind of “with-it-ness”), which they have developed

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through practical experience over the years. As a person new to nursing education, you have a great deal to learn from a seasoned mentor. In order to gain access to that knowledge, you will conduct an interview with an experienced nurse educator either in a hospital or college setting. Your interview may be conducted face-to-face, online, or by telephone.

For this assignment, you are to:

Generate a list of questions you will ask during the interview such as teaching strategies, theories, technology, and evaluation techniques.
Conduct the interview.
Your discussion post should include:
The setting.
How the interview was conducted.
The questions asked and the responses given.
Anything else you think to be important.

Fall precaution measures

Fall precaution measures

Note: This is an individual assignment. Based on the feedback offered by the provider, identify the best approach for

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teaching. Prepare a presentation to accompany the teaching plan and present the information to your community. Select one of the following options for delivery of the presentation:

PowerPoint presentation – no more than 30 minutes
Pamphlet presentation – 1 to 2 pages
Poster presentation
Appropriate community settings include:

Public health clinic
Community health center
Long-term care facility
Transitional care facility
Home health center
University/School health center
Church community
Adult/Child care center
Before presenting information to the community, seek approval from an agency administrator or representative.

Upon receiving approval from the agency, include the “Community Teaching Experience Form” as part of your assignment submission.

While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.

You are required to submit this assignment to Turnitin. Please refer to the directions in the Student Success Center.

NRS-427V-RS-CommunityTeachingExperienceForm.doc

Collaboration

Collaboration

Running head: COLLABORATION IN HEALTH CARE Collaboration in Health Care Kaplan University MN 580: Primary

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Care of Children and Adolescent Health 1 COLLABORATION 2 Collaboration in Health Care Decision making is a broad term used to explain the process involved in making a choice between different options to a course of action. It is one of the most pivotal practices in health care, particularly when considering the quality of health care. In the context of healthcare, it is commonly referred to as clinical decision making which is a more complex process that requires more individuals than just making choices from limited options. The involvement of the individuals from different professional specialization in coming up with an approach to solving the existing problem is what is referred to as multidisciplinary collaboration which is very crucial in clinical decision making (Bender, Connelly, & Brown, 2013). Multidisciplinary collaboration in health care significantly affects the clinical decision making in several ways. The main ones being the methods regarding diagnosis, prognosis, intervention, interaction and evaluation for a patient (Bender, Connelly, & Brown, 2013). Since clinical decision making is a process that involves different healthcare practitioners making decisions on behalf of the patient, multidisciplinary collaboration is what ensures that the right decision that ensures patient safety is made since it is usually an outcome and component of clinical reasoning. More so multidisciplinary collaboration ensures that the probability of making the right clinical decision is high since it involves using dynamic contexts, multiple variables and diverse knowledge from the team involved to come up with the clinical decisions (Bender, Connelly, & Brown, 2013). Multidisciplinary collaboration have been found to lead to better clinical decisions regarding patients health care problem, appropriate therapeutic intervention, modes of interaction and methods of evaluation than those made by sole physicians(Bender, Connelly, & Brown, 2013). Basically, multidisciplinary collaboration is a crucial requirement in making clinical decisions regarding better plans for care. COLLABORATION 3 Today’s healthcare labor force is striving to work collaboratively with multidisciplinary integrated teams to achieve their primary goal of improving patient outcomes through delivering patient-centered, safe and effective care that meets their needs .collaboration in healthcare have been found to improve patients outcomes in number of ways.one is through proper communication and right flow of information among the multidisciplinary teams involved which significantly reduces medical errors and improves patient outcomes (Ignatavicius & Workman, 2015). The relationship of effective communication to safety and quality has been proven through the significant reduction of risk for medical errors. With the essential transfer of crucial information multidisciplinary collaboration can mitigate most of the medical errors associated with transition thereby improving patient outcomes (Ignatavicius, & Workman, 2015). The other way is through promoting coordination of care. Multidisciplinary collaboration ensures effective coordination of patient care through the health care continuum thereby minimizing chances of error occurrence and improving the quality of patient care which in turn improves patient outcomes (Ignatavicius & Workman, 2015). Another way is through providing care that is more satisfactory and acceptable to the patients. studies show that patients treated by multidisciplinary collaborative teams are more satisfied with the care they receive. This type of care dramatically improved patients’ confidence in the care provided thus improving their outcomes (Ignatavicius, & Workman, 2015). On the other hand, lack of collaboration in health care can lead to poor patient outcomes. When health practitioners do not work together and interdependently number of issues such as inefficiencies, medical errors, and breakdown of communications, occupational stress, and other operation failures rise (Lancaster, Kolakowsky, Kovacich, & Greer‐Williams, 2015). When this kind of issues occur, they led to poor patient outcome. For example, a study carried out by the COLLABORATION 4 Center for Health Design indicted that poor communication was a primary contributing factor in over 25% of clinical errors (Lancaster, Kolakowsky, Kovacich, & Greer‐Williams, 2015). In addition, according to the report given by American health research Institute in 2004, over half of the American deaths caused by malpractice cases could have been avoided by better collaboration and teamwork (Lancaster, Kolakowsky, Kovacich, & Greer‐Williams, 2015). More so the report also indicated that most of the malpractice cases often resulted from a chain of errors such as lack of team structure, poor communication and lack of cross-monitoring that involves the team members checking on each other’s actions. When medical care practitioners fail to collaborate effectively it may cause unnecessary patient pain, avoidable deaths, prolongation of illnesses, and in many other ways that harm the patient. All these factors cause poor patient health outcomes (Lancaster, Kolakowsky, Kovacich, & Greer‐Williams, 2015). Providers’ collaboration across all contexts are hindered by organizational and individual factors. Some of the most common hindrances to collaboration among health professionals and patients include differences in professional power. Collaboration across organizational boundaries remains challenging due to the differences in power dynamics which affect the strategic choices made by the health professional about whether to collaborate, who to collaborate and to what level (McInnes, Peters, Bonney, & Halcomb, 2015). Power dynamics may also hinder building of personal relationships thereby hindering collaborative care. The other obstacle is knowledge bases where the teams involved do not often know and understand each clinical discipline’s full scope of practice. This results in making assumptions easily about what different disciplines actually do thereby significantly hindering collaboration (McInnes, Peters, Bonney, & Halcomb, 2015). Understanding the full professional role of each discipline is a crucial step in overcoming this type of barrier. Poor communication is another major barrier to COLLABORATION 5 collaboration. Poor communication can create a toxic work atmosphere in cases where the team members involved do not communicate or are not aware of the proper communication channels to use. This creates communication breakdowns that inhibit collaboration among health professionals and patients (McInnes, Peters, Bonney, & Halcomb, 2015). Since collaboration is the foundation of success in any team it is important to understand the best ways to promote the professional collaboration. Particularly in pediatric care, professional collaboration should be promoted to improve both the outcome and quality of care provided to pediatrics who are quite sensitive as compared to adults (Hockenberry, Wilson, & Rodgers, 2016). More so the collaboration approach ensures that there is continuous acquiring of collective skills and experience which are a key requirement in delivering a high level of services, particularly in pediatric care. Some of the best ways to promote professional collaboration in pediatric primary care include ensuring there is sharing. The idea of sharing ensures there are collective actions oriented towards a common goal which in this case is improving the safety and quality of patient care which bests promotes collaboration (Hockenberry, Wilson, & Rodgers, 2016). The other way is through partnership which ensures there is honest communication, respect, and mutual trust when pursuing the common set objectives between the health care providers, particularly between physicians and nurses. Power is another way of promoting collaboration which involves having the ability and capacity to perform various responsibilities assigned to you. Capability and capacity inspire trust and respect among the team members which helps in the easy achievement of professional collaboration (Hockenberry, Wilson, & Rodgers, 2016). Interdependency is another approach of promoting collaboration. The idea of interdependence implies that there is mutual reliance between the different health professions specialist involved in acting towards the common goal of ensuring COLLABORATION 6 quality and patient safety is maintained. This promotes professional collaboration by ensuring that different health professionals work together to achieve the set goals. Shared responsibility is also another approach to promoting professional collaboration. Sharing responsibility ensures that the involved team members work together in matters related to decision making and leadership which are key components in delivering health care. Health professionals are known to be leaders and primary decision makers in healthcare settings due to the many legal responsibilities that they have in making patient care decisions. Shared responsibility ensures there is a collaboration that best helps in solving the evolving nature of patient care problems (Hockenberry, Wilson, & Rodgers, 2016). In conclusion, collaboration is not only necessary for health professionals but also among the patients, family, and caregivers. Nurses have crucial role in ensuring that they encourage and support collaboration among all these different stakeholders for maximum achievement of patients quality of care and safety .some of the ways that nurse can use include promoting open and honest communication among all the stakeholders involved, promoting mutual respect about what the partners bring in relation to health care, having an ongoing negotiation about the role of each stakeholder and finally ensuring there is shared planning and decision making (Supper et al., 2015). All these practices will ensure that there is collaboration among health professionals, patient, family, and caregivers in working towards the common goal. It is also advisable that the nurse at some point carries out a joint evaluation of the progress to ensure that consistent collaboration among the team members is maintained (Supper et al., 2015). COLLABORATION 7 References Bender, M., Connelly, C. D., & Brown, C. (2013). Interdisciplinary collaboration: The role of the clinical nurse leader. Journal of Nursing Management, 21(1), 165-174. Hockenberry, M. J., Wilson, D., & Rodgers, C. C. (2016). Wong’s Essentials of Pediatric Nursing-E-Book. Elsevier Health Sciences. Ignatavicius, D. D., & Workman, M. L. (2015). Medical-Surgical Nursing-E-Book: Patient-Centered Collaborative Care. Elsevier Health Sciences. Lancaster, G., Kolakowsky‐Hayner, S., Kovacich, J., & Greer‐Williams, N. (2015). Interdisciplinary communication and collaboration among physicians, nurses, and unlicensed assistive personnel. Journal of Nursing Scholarship, 47(3), 275-284. McInnes, S., Peters, K., Bonney, A., & Halcomb, E. (2015). An integrative review of facilitators and barriers influencing collaboration and teamwork between general practitioners and nurses working in general practice. Journal of advanced nursing, 71(9), 1973-1985. Supper, I., Catala, O., Lustman, M., Chemla, C., Bourgueil, Y., & Letrilliart, L. (2015). Interprofessional collaboration in primary health care: a review of facilitators and barriers perceived by involved actors. Journal of Public Health, 37(4), 716-727. Unit 7 grading rubric. Instructors: Enter total available points in cell H2, and values between 0 and 4 in the yellow cells in Total available points = Content Rubric Introductory Emergent 0–1.9 2–2.9 Content Quality Student successfully completes less than 55% of the required elements. Student successfully completes 55–75% of the required elements. Resources Does not include any resources (0) or sources utilized are not relevant and credible sources of information (1). Not all sources utilized are relevant and/or credible. Writing Deduction Rubric Grammar & Punctuation Introductory Emergent 0-1 2 The overall meaning of the paper is difficult to understand. Sentence structure, subject verb agreement errors, missing prepositions, and missing punctuation make finding meaning difficult. Several confusing sentences or one to two confusing paragraphs make understanding parts of the paper difficult, but the overall paper meaning is clear. Many subject verb agreement errors, run-on sentences, etc. cause confusion. Spelling Many typos, misspelled The many misspelled words words, or the use of and incorrect word choices incorrect words making significantly interfere with the understanding difficult in a readability. few places. The order of information is confusing in several places Paper has some good and this organization information or research, but it interferes with the meaning does not follow assignment or intent of the paper. Order of Ideas & directions and is lacking in However, the paper has a Length Requirement overall organization and generally discernible content. purpose and follows assignment directions overall. APA Feedback: There is an attempt to use APA formatting and citing. There is some attempt at There are both in-text APA formatting and citing. citations and reference There are one or more listings. Citation information missing parts such as the may be missing or incorrect cover page or references list. (i.e., websites listed as inCitation information may be text or reference citations). missing. Citation mistakes There is an attempt to cite make authorship unclear. all outside sources in at least one place. Authorship is generally clear. 115 es between 0 and 4 in the yellow cells in the Score column. ble points = Practiced Proficient/Mastered 3–3.9 4 Score Weight Final Score Student successfully completes 76–97% of tthe required elements. Student successfully completes 98–100% of of the required elements. 4 90% 3,60 Supports many opinions and ideas with relevant and credible sources of information that are current. Supports opinions and ideas with relevant and credible sources of information that are current and exceeds the expected number and types of resources. 4 10% 0,40 Content Score Practiced Proficient/Mastered 3 4 A few confusing sentences make it difficult to understand a small portion of the paper. However, the overall meaning of a paragraph and the paper are intact. There may be a few subject verb agreement errors or some missing punctuation. There are one or two confusing sentences, but the overall sentence and paragraph meanings are clear. There are a few minor punctuation errors such as comma splices or runon sentences. 115 Score Weight Final Score 4 35% 1,40 A few misspelled words normally Some misspelled words or caught by spellcheckers are the misuse of words such as present but do not significantly confusing then/than. interfere with the overall However, intent is still clear. readability of the paper. 4 35% 1,40 The overall order of the information is clear and The order of information is contributes to the meaning of confusing in a few places assignment. There is one and the lack of organization paragraph or a sentence or two interferes with the meaning that are out of place or other or intent of the paper in a minor organizational issues. A minor way. few sentences may be long and hard to understand. Meets length requirements. 4 20% 0,80 There is an overall attempt at APA formatting and citation style. All sources appear to have some form of citation both in the text and on a reference list. There are some formatting and citation errors. Citations generally make authorship clear. 4 10% 0,40 Writing Deduction 0,00 Final Score 115,00 Percentage 100,00% There is a strong attempt to cite all sources using APA style. Minor paper formatting errors such as a misplaced running head or margins may occur. Minor in-text citation errors such as a missing page number or a misplaced date may occur. Quotation marks and citations make authorship clear.
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graphics and/or statistics be used to misrepresent data- Paragraph

graphics and/or statistics be used to misrepresent data- Paragraph

What Is Statistics and Why It Is Important to Health Sciences? Introduction When people hear the word statistics,

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many think of numbers. Statistics is so much more than that. Statistics is a collection of methods for planning experiments, obtaining data, and then organizing, summarizing, analyzing, interpreting, presenting, and drawing conclusions based on the data” (Triola, 2010). Statistics starts from the moment a question is formed or an idea needs testing. Statistics Statistics has multiple components to its definition. Statistics are commonly used in planning experiments. Experiments need to be conducted in a manner that prevents bias from being introduced, and in a way that allows the results to be applied to the desired population. A couple of important words have now been introduced: bias and population. So, what is bias? Bias occurs when someone either intentionally or unintentionally imposes an opinion into an experiment. This would make the results useless. Population is another important concept. A populationis the complete collection of all elements of interest. The most common thought when discussing a population, is the population of the United States or a particular location. A population in statistics can be something different. Your population could be as broad as every person in the world with cancer, or narrowed considerably to patients with pancreatic cancer. The population of interest could even be the tumors themselves. Data Once you determine your population, it is time to gather some data. Data observations (such as measurements, genders, survey responses) that have been collected and have meaning attached to them (Triola, 2010). There are two different types of data, qualitative and quantitative. Quantitative data consists of numbers representing counts or measurements. Qualitative data can be separated into different categories that are distinguished by some non-numeric characteristic (Triola, 2010). In order to gather this data you will need a sample. A sample is a subset of the population that is representative of the population. In order to be representative, the sample must be collected properly. The Visual Leaner: Statistics describes several sampling techniques: Random Sample: Members from the population are selected in such a way that each individual member has the same chance of being selected. • Simple Random Sample: Each sample of size n is selected in such a way that every possible sample of size n has the same chance of being selected. • • Systematic Sampling: Randomly selects a starting point, and then every kth element. • Convenience Sampling: Collects results that are easiest to obtain. Stratified Sampling: Subdivides the population into at least two different groups called strata that share the same characteristics. As sample is then drawn from each group. • Cluster Sampling: Divides the population area into sections (clusters), then randomly selects clusters and chooses all the members of those clusters. • Frequency Distribution After the data has been collected, a discussion occurs on how to display the data. For discrete data, or grouped continuous data, the frequency or number of representatives in each group is determined and presented as a frequency distribution (Triola, 2010). Thedistribution. The number of individuals (or frequency) in each group or category is represented by the height of a bar. Line plots are used for general guidelines for scientific publications or to display continuous data. Bar charts or pie charts are used to present discrete or categorical data. A histogram is used for grouped continuous data. Though a histogram and a bar chart may look somewhat alike, the bar chart has spaces between the bars which indicate discontinuity in the data. The bars in a histogram touch neighboring bars, indicating grouped continuous data (Triola, 2010). There is an example available in the Visual Learner: Statistics. Displaying the data is important but one needs to more completely describe the data. Descriptive statistics are used to describe the data. Descriptive statistics include measure of center and variability. Central Tendency A measure of center is a value that describes the center or middle of the data set. There are examples of finding the mean, the median, and the mode in the Visual Learner: Statistics. Notice that the mean is different for the population and for samples. Variability The measure of variability is a value that describes the spread of the data. There are examples of finding the mode, the variance, and the standard deviation in the Visual Learner: Statistics.Notice that the calculations for the variance and standard deviation are different for the population and for samples. Conclusion This lecture discussed planning experiments, how to obtain data, organizing, and summarizing the data. To ensure complete description of the data both a measure of center and a measure of variability are required. The analysis, interpretation, presentation, and conclusions based on the data will be discussed in future topics. References Triola, M. (2010). Elementary statistics (11thed.). Boston, MA: Addison Wesley.
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characteristics of a population- Statistics- paragraph

characteristics of a population- Statistics- paragraph

What Is Statistics and Why It Is Important to Health Sciences? Introduction When people hear the word statistics,

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many think of numbers. Statistics is so much more than that. Statistics is a collection of methods for planning experiments, obtaining data, and then organizing, summarizing, analyzing, interpreting, presenting, and drawing conclusions based on the data” (Triola, 2010). Statistics starts from the moment a question is formed or an idea needs testing. Statistics Statistics has multiple components to its definition. Statistics are commonly used in planning experiments. Experiments need to be conducted in a manner that prevents bias from being introduced, and in a way that allows the results to be applied to the desired population. A couple of important words have now been introduced: bias and population. So, what is bias? Bias occurs when someone either intentionally or unintentionally imposes an opinion into an experiment. This would make the results useless. Population is another important concept. A populationis the complete collection of all elements of interest. The most common thought when discussing a population, is the population of the United States or a particular location. A population in statistics can be something different. Your population could be as broad as every person in the world with cancer, or narrowed considerably to patients with pancreatic cancer. The population of interest could even be the tumors themselves. Data Once you determine your population, it is time to gather some data. Data observations (such as measurements, genders, survey responses) that have been collected and have meaning attached to them (Triola, 2010). There are two different types of data, qualitative and quantitative. Quantitative data consists of numbers representing counts or measurements. Qualitative data can be separated into different categories that are distinguished by some non-numeric characteristic (Triola, 2010). In order to gather this data you will need a sample. A sample is a subset of the population that is representative of the population. In order to be representative, the sample must be collected properly. The Visual Leaner: Statistics describes several sampling techniques: Random Sample: Members from the population are selected in such a way that each individual member has the same chance of being selected. • Simple Random Sample: Each sample of size n is selected in such a way that every possible sample of size n has the same chance of being selected. • • Systematic Sampling: Randomly selects a starting point, and then every kth element. • Convenience Sampling: Collects results that are easiest to obtain. Stratified Sampling: Subdivides the population into at least two different groups called strata that share the same characteristics. As sample is then drawn from each group. • Cluster Sampling: Divides the population area into sections (clusters), then randomly selects clusters and chooses all the members of those clusters. • Frequency Distribution After the data has been collected, a discussion occurs on how to display the data. For discrete data, or grouped continuous data, the frequency or number of representatives in each group is determined and presented as a frequency distribution (Triola, 2010). Thedistribution. The number of individuals (or frequency) in each group or category is represented by the height of a bar. Line plots are used for general guidelines for scientific publications or to display continuous data. Bar charts or pie charts are used to present discrete or categorical data. A histogram is used for grouped continuous data. Though a histogram and a bar chart may look somewhat alike, the bar chart has spaces between the bars which indicate discontinuity in the data. The bars in a histogram touch neighboring bars, indicating grouped continuous data (Triola, 2010). There is an example available in the Visual Learner: Statistics. Displaying the data is important but one needs to more completely describe the data. Descriptive statistics are used to describe the data. Descriptive statistics include measure of center and variability. Central Tendency A measure of center is a value that describes the center or middle of the data set. There are examples of finding the mean, the median, and the mode in the Visual Learner: Statistics. Notice that the mean is different for the population and for samples. Variability The measure of variability is a value that describes the spread of the data. There are examples of finding the mode, the variance, and the standard deviation in the Visual Learner: Statistics.Notice that the calculations for the variance and standard deviation are different for the population and for samples. Conclusion This lecture discussed planning experiments, how to obtain data, organizing, and summarizing the data. To ensure complete description of the data both a measure of center and a measure of variability are required. The analysis, interpretation, presentation, and conclusions based on the data will be discussed in future topics. References Triola, M. (2010). Elementary statistics (11thed.). Boston, MA: Addison Wesley.
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fluid imbalance

fluid imbalance

Describe what a fluid and electrolyte imbalance is and how this is important to the function of the body?
Pick a fluid or electrolyte imbalance and describe how the patient would present, in addition to the treatment (nursing and expected medical)?
You should include a minimum of 3 scholarly references. Include a title page, in-text citations, and a reference page in APA format.

Tags: nursing gluid

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Understanding Frequencies and Percentages – read instructions

Understanding Frequencies and Percentages – read instructions

Use MS Word to complete “Questions to be Graded: Exercise 6” in Statistics for Nursing Research: A Workbook for Evidence-Based Practice. Submit your work in SPSS by copying the output and pasting into the Word document. In addition to the SPSS output, please include explanations of the results where appropriate. See attachment bellow for Data and Pictures to respond the following questions.

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EXERCISE 6

1. What are the frequency and percentage of the COPD patients in the severe airflow limitation group who are employed in the Eckerblad et al. (2014) study?

2. What percentage of the total sample is retired? What percentage of the total sample is on sick leave?

3. What is the total sample size of this study? What frequency and percentage of the total sample were still employed? Show your calculations and round your answer to the nearest whole percent.

4. What is the total percentage of the sample with a smoking history—either still smoking or former smokers? Is the smoking history for study participants clinically important? Provide a rationale for your answer.

5. What are pack years of smoking? Is there a significant difference between the moderate and severe airflow limitation groups regarding pack years of smoking? Provide a rationale for your answer.

6. What were the four most common psychological symptoms reported by this sample of patients with COPD? What percentage of these subjects experienced these symptoms? Was there a significant difference between the moderate and severe airflow limitation groups for psychological symptoms?

7. What frequency and percentage of the total sample used short-acting β 2 -agonists? Show your calculations and round to the nearest whole percent.

8. Is there a significant difference between the moderate and severe airflow limitation groups regarding the use of short-acting β 2 -agonists? Provide a rationale for your answer.

9. Was the percentage of COPD patients with moderate and severe airflow limitation using short-acting β 2 -agonists what you expected? Provide a rationale with documentation for your answer.

10. Are these findings ready for use in practice? Provide a rationale for your answer.

Measures of Central Tendency- read instructions

Measures of Central Tendency- read instructions

Use MS Word to complete “Questions to be Graded: Exercise 8” in Statistics for Nursing Research: A Workbook for

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Evidence-Based Practice. Submit your work in SPSS by copying the output and pasting into the Word document. In addition to the SPSS output, please include explanations of the results where appropriate. See attachment bellow for Data and Pictures to respond the following questions.

1. The number of nursing students enrolled in a particular nursing program between the years of 2010 and 2016, respectively, were 563, 593, 606, 520, 563, 610, and 577. Determine the mean ( X ), median ( MD ), and mode of the number of the nursing students enrolled in this program. Show your calculations.

2. What is the mode for the variable inpatient complications in Table 2 of the Winkler et al. (2014) study? What percentage of the study participants had this complication?

3. Does the distribution of inpatient complications have a single mode, or is this distribution bimodal or multimodal? Provide a rationale for your answer.

4. As reported in Table 1 , what are the three most common cardiovascular medical history events in this study, and why is it clinically important to know the frequency of these events?

5. What are the mean and median lengths of stay (LOS) for the study participants?

6. Are the mean and median for LOS similar or different? What might this indicate about the distribution of the sample? Provide a rationale for your answer.

7. Examine the study results and determine the mode for arrhythmias experienced by the partici-pants. What was the second most common arrhythmia in this sample?

8. Was the most common arrhythmia in Question 7 related to LOS? Was this result statistically significant? Provide a rationale for your answer.

9. What study variables were independently predictive of the 50 premature ventricular contractions (PVCs) per hour in this study?

10. In Table 1 , what race is the mode for this sample? Should these study findings be generalized to American Indians with ACS? Provide a rationale for your answer.

Measures of Dispersion : Range and Standard Deviation – Read instructions

Measures of Dispersion : Range and Standard Deviation – Read instructions

Use MS Word to complete “Questions to be Graded: Exercise 9” in Statistics for Nursing Research: A Workbook for

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Evidence-Based Practice. Submit your work in SPSS by copying the output and pasting into the Word document. In addition to the SPSS output, please include explanations of the results where appropriate. See attachment bellow for Data and Pictures to respond the following questions.

1. What were the name and type of measurement method used to measure Caring Practices in the Roch, Dubois, and Clarke (2014) study?

2. The data collected with the scale identified in Questions 1 were at what level of measurement? Provide a rationale for your answer.

3. What were the subscales included in the CNPISS used to measure RNs ’ perceptions of their Caring Practices? Do these subscales seem relevant? Document your answer.

4. Which subscale for Caring Practices had the lowest mean? What does this result indicate?

5. What were the dispersion results for the Relational Care subscale of the Caring Practices in Table 2 ? What do these results indicate?

6. Which subscale of Caring Practices has the lowest dispersion or variation of scores? Provide a rationale for your answer.

7. Which subscale of Caring Practices had the highest mean? What do these results indicate?

8. Compare the Overall rating for Organizational Climate with the Overall rating of Caring Practices. What do these results indicate?

9. The response rate for the survey in this study was 45%. Is this a study strength or limitation? Provide a rationale for your answer.

10. What conclusions did the researchers make regarding the caring practices of the nurses in this study? How might these results affect your practice?

Personality Types

Personality Types

This assignment will help you understand your personality type. Through this assignment, you will analyze how your

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specific personality type can enhance or hinder effective leadership in the health care environment.

Using the South University Online Library or the Internet, research about personality types.

Note: You can use the following link to access the online assessment: Jung Typology Test

Based on your research and understanding, write a 3- to 4-page Microsoft Word document that:

Integrates how your specific personality type can enhance or hinder effective leadership in the health care environment.
Explains all four aspects of your personality gleaned from the assessment.
Includes 2- to 3-journal article references.
Use this APA Citation Helper as a convenient reference for properly citing resources.
This handout will provide you the details of formatting your essay using APA style.
You may create your essay in this APA-formatted template.