1000+ documents containing “data analysis”.
Hospice Utilization: Survey Findings
Survey Data Analysis
Barriers to Hospice Care Utilization: Survey Findings
Barriers to Hospice Care Utilization: Survey Findings
Hospice care has been shown to improve patient quality of life, reduce depression, prolong life (reviewed by McGorty and Bornstein, 2003), and reduce the costs associated with end of life (EOL) care (Temel et al., 2010). As McGorty and Bornstein (2003) point out, however, hospice care in the United Kingdom is more widely used than in the United States, with 60% of all U.K. cancer deaths occurring in Hospice care compared to only 42% in the U.S. The possible reasons for this disparity include patient-, physician/nurse practitioner (NP)-, and administrative-associated factors that result in hospice underutilization. Of primary concern are the barriers associated with physicians and NPs because they act as gatekeepers to hospice care.
esearchers have shown that only about 24% of physicians surveyed were familiar with hospice care, while the rest….
Business Intelligence and Data Analysis
Tableau Project
Dashboard
Health insurance coverage for people below 65 among states
Graphical features used
Descriptive and predictive analytics used
Population of Insured and Uninsured People aged 65 and below
The project evaluates the rates of insurance coverage for people aged 65 and below between 2010 and 2012 in all states in the United States. The report analyzes the data using several statistical tools such as descriptive statistics, predictive statistics, and linear treadline . The report identifies that the number of uninsured in this age category declines between 2010 and 2012. However, the number of insured in this age category increases between 2010 and 2012. Additionally, the rates of insured and uninsured vary between states. The twenty-five states recorded an increase in the number of uninsured between 2010 and 2012, and the rest recorded a decline in the number of uninsured.
Executive summary
Objective of this project is to evaluate the health insurance coverage….
Tobacco control and stress reduction
Data interpretation is a critical component of the research process, one which is necessary to ensure that the data has program significance -- i.e., can provide useful guidelines for changes in policy or to add to the existing research -- and also to ensure that the data simply meets basic statistical criteria for validity. In the case of the smoking cessation program profiled in the text by McKenzie, Neiger, & Thackeray, . (2013), there are several obvious problems with the data -- only a limited number of the pooled workplaces (67%) actually completed the survey, 251 in total. 198 of the profiled workplaces (79%) had fewer than 51 employees. This means that the data may be incomplete regarding the full extent that such programs have been implemented (or the lack of extent to which they have been implemented) and most of the programs have a….
data collection and analysis legitimize the goals and strategies educators create for change and improvement?
Given today's emphasis on standardized testing in the era of No Child Left Behind (NCLB), using data-driven analysis to legitimize various educational strategies is essential. "Daily life in districts and schools requires educators to effectively navigate a sea of data: diagnostic and norm-referenced standardized assessment data, reading assessment data, state and local assessment data, in combination with other data related to instructional programs and demographic, attendance, and dropout trends" (onka et al. 2008). Ideally, educators can use data such as student assessments to tailor the learning experience in a more effective fashion and incorporate formative assessments within the classroom to ensure that lesson plans are responsive and flexible to student needs. On a macro level, districts can use data tracking to see what types of teaching methods are effective or ineffective. Although teachers are always….
Nursing Handoff Communication
The use of the mixed method approach for this study implies that data analysis should be effective in examining descriptive data obtained from participant observation, interviews, surveys, and focus groups. The data analysis plans for this research will incorporate identifying and utilizing appropriate methods for examining demographic variables and study variables. This will help in ensuring the researcher effectively analyzes descriptive data from the various data collection methods and study variables. Given the nature of the phenomenon under investigation, data analysis for demographic variables and of study variables is vital in order to generate accurate results or findings. When analyzing data, the researcher will utilize SPSS software and establish the alpha level for all statistical analyses at 0.05 (O'Connell, Macdonald & Kelly, 2008, p.5).
In relation to data analysis for demographic variables, the researcher will conduct descriptive statistical….
Self-reflection
For a successful completion of any program, data analysis and results dissemination is a crucial part of the processes. Data analysis is the processes of project reporting that involves inspection, cleansing, transformation, and modeling of the data collected with the aim of establishing information that is useful in suggesting the possible conclusions and in providing insights to support the decisions made (Ott & Longnecker, 2015). Dissemination on the other hand is the processes of getting out the findings of the project. This can be done through various platforms among them presentations and written report. Results dissemination is a critical process in program implementation for it creates a link between the researchers and the field.
Data analysis for me is a rather challenging process and often, I get entangled in the various processes. The method selected for data analysis will depend on the nature and the type of the research. There are….
New-Hire Orientation Process
Description
Data is important in any study. It helps organize and strategize on the best way to lead a challenging mechanism for every player in the industry. No meaningful research can fail involve the use of data. In this case, data has to be done to help in the study mechanisms that can lead to the better execution of what is needed. This study showed the manner in which work can be distributed in a research progress, with the aim of making work well done. In essence, data collection must focus on all the endeavors of the management for the analysis to reflect the real issues being analyzed (Haining, 2011). It is also important to note that work is organizable when the studies are geared towards making sure there are mechanisms that surround and support the researcher. The main business at New-Hire is related to making sure that the….
Catholic Voices Data nalysis
Catholic Voices
The present study involves the identification of a measure for determining the effectiveness of a group that was organized and is presently coordinated to work as a type of public relations firm for the Catholic Church in a role that effectively disseminates and negotiates information that passes to and from the Church to the political, social, economic, ethical, and religious workings on a global scale therefore making these workings complex and often tedious in nature. This section of this study, or the data analysis, is comprised of a qualitative analysis of the data obtained during the course of this study both through review of pertinent literature that is professional and academic as well as peer-reviewed in nature in combination with self-administered questionnaires/interviews. The questionnaires were mailed to twenty individuals in the Catholic Church however, only three of these individuals actually responded to the request for information.….
Important measures in data summarization include measures of central tendency (i.e. "averages" or the mean, median, and/or mode) and measures of dispersion or variability -- the range of the data and the standard deviation of the points within the data set (Shaughnessy et al. 2006). These statistical staring points can be used to derive a wealth of information form the data, including correlations to other related studies/data sets, reliability and consistency of the data set at hand, and other summary statistics that provide the necessary measures to begin to understand the implications of a given data set (Shaughnessy et al. 2006). These basic figures must be known before any statistical analysis can occur.
ffect size is also a very important measure in the summary of a data set (Shaughnessy et al. 2006). Rather than simply showing a correlation between various features of a data set, effect size measures determine the….
Leadership Effectiveness Inventory Data
Reliability Analysis
After collecting data from the Nordic questionnaires, a reliability test was carried out to ascertain whether the nine scales used could predict overall satisfaction with the manager as a leader. The analysis found the scales reliable and moreover, it was apparent that reducing the questions in the questionnaires could not compromise data reliability. In addition, communication, planning/execution and teamwork were proved to be the best predictors of satisfaction from the analysis.
For this study, data used were answers to 75 questions asked to 472 respondents regarding managerial behavior within the organization. Data sources are shown in Table 1 below.
Source of Data
N
Self
Direct Reports
Peers
Supervisors
In Table 2, descriptive statistics were recorded on individual items with descending means and respective standard deviations.
Mean
Standard
analyzing table 2 above, it is clear that three variables had means of more than 4; satisfied. These variables include Q69, Q3, and Q5 as well. In addition, there were….
Rogers (2010) chapter on qualitative analysis described many useful and practical methods to help use this tool effectively and efficiently. The purpose of this essay is to examine this book chapter and address the important and key issues that are presented in the literature. This essay will also provide practical examples of the information presented in this argument from federal agencies to help contextualize the information and to demonstrate the practicality of its methods at a governmental level.
Rogers proposed a complex systematic framework for analyzing qualitative data for evaluation in this chapter. He created the mnemonic PPOIISED to help guide this process. He stated that this mnemonic " is intended to remind users of three different meanings of the word poised in that good qualitative data analysis finds an appropriate balance between compteting imperatives, uses strategies that are focused on action, and has a sense of assurance based on a….
Improper Data Analysis Led to the Fall of Enron
The downfall of the Enron Corporation in 2001 had far reaching effects that are still felt to this day. Employees, shareholders, auditors, executives, the public and many other stakeholders are still dealing with the impact of the fallout that came from the misconduct of the debt ridden company. hareholders lost billions of dollars when the stock price plummeted. The accounting firm Arthur Anderson LLP was found guilty of obstruction of justice and is no longer able to practice as Certified Public Accountants in the United tates. The lessons learned from how Enron and its accountants misused information has profound ethical and business implications for any student of data analysis in whatever field.
From a misuse of data perspective, the best place to begin with the Enron scandal is with its auditing firm, Arthur Andersen. While earning millions of dollars, this firm performed….
Inductive and Deductive Analysis: Differences
Thick Description in Text Analysis
The concept of thick description, advanced by Gilbert yle and popularized in the fields of sociology and anthropology by Clifford Geertz, is used to characterize the process of putting particular emphasis on the contextual details surrounding a phenomenon when conducting qualitative research. A thick description of the phenomenon takes into account the experiential and contextual understandings of those behaviors that render a phenomenon meaningful. It involves looking at the rich details surrounding a phenomenon, and sorting out the complex details, including self-feelings, emotions, and social relationships, such that "the voices, feelings, actions, and meanings of interacting individuals are heard" (Denzin, as cited in Ponterotto, 2006, p. 540). The narration below presents a thick description of the experiences of a nurse out to improve her facility's performance in the provision of end of life care, particularly in the area of pain management (adopted….
grades of students' team taught and student not team taught in the MAE504 course at taking Trident University. In the quantitative research, carrying out a statistical analysis to answer the research question can be challenging for many students. The study discusses different statistical tools that can be used to analyze the data to compare the variable team taught students and variable non-team students. The discussion will assist students in the education department on the research design and statistical tool to use for the quantitative research.
Approach in Quantitative esearch
The following steps are to be followed when carrying out the quantitative research:
Identification of research problem
eview of the past studies
Specify the research purpose
Develop the research questions
Collect data
Data analysis and interpret Data
Present the research findings
esearch Question
The first approach to tackling quantitative research is to define the research question, which will assist the researcher to collect data to investigate the relationship between two or….
DATA ANALYSIS Problem 1Answer the question: Does practice time make a difference? Support your answer with your findings.The ANOVA single factor test was used to determine whether there was a difference in the swimming time by practice time. ANOVA was calculated using the following steps:i) Present the data in three columns by practice time as shown:less than 15 (1)15-25 (2)greater than 25(3)58.764.46855.355.865.961.858.754.749.554.753.664.552.758.76167.858.765.761.665.751.458.766.553.654.656.75951.555.454.751.561.454.856.957.2ii) State the null and alternative hypothesesHo: all means are equalHA: all means are not equaliii) Run a single-factor ANOVA using the data analysis tool on Excel. The results are presented below:Anova: Single FactorSUMMARYGroupsCountSumAverageVarianceColumn 110580.558.0529.87833Column 213753.557.9615422.68423Column 313767.459.0307731.07897ANOVASource of VariationSSdfMSFP-valueF critBetween Groups8.86876068424.434380.1600920.8527233.284918Within Groups914.06346153327.69889Total922.932222235Implication: The F statistic (0.16) is less than the F critical (3.29). Further, the F-statistic is yields a p-value of 0.853, which is greater than p?0.05, implying that the differences in means is not significant at the .05 level of significance and hence, we accept the null hypothesis.….
Health - Nursing
Hospice Utilization: Survey Findings Survey Data Analysis Barriers to Hospice Care Utilization: Survey Findings Barriers to Hospice Care Utilization: Survey Findings Hospice care has been shown to improve patient quality of life,…
Read Full Paper ❯Healthcare
Business Intelligence and Data Analysis Tableau Project Dashboard Health insurance coverage for people below 65 among states Graphical features used Descriptive and predictive analytics used Population of Insured and Uninsured People aged 65 and below The…
Read Full Paper ❯Careers
Tobacco control and stress reduction Data interpretation is a critical component of the research process, one which is necessary to ensure that the data has program significance -- i.e.,…
Read Full Paper ❯Teaching
data collection and analysis legitimize the goals and strategies educators create for change and improvement? Given today's emphasis on standardized testing in the era of No Child Left Behind…
Read Full Paper ❯Nursing
Nursing Handoff Communication The use of the mixed method approach for this study implies that data analysis should be effective in examining descriptive data obtained from participant observation, interviews,…
Read Full Paper ❯Human Resources
Self-reflection For a successful completion of any program, data analysis and results dissemination is a crucial part of the processes. Data analysis is the processes of project reporting that involves…
Read Full Paper ❯Transportation
New-Hire Orientation Process Description Data is important in any study. It helps organize and strategize on the best way to lead a challenging mechanism for every player in the industry. No…
Read Full Paper ❯Mythology - Religion
Catholic Voices Data nalysis Catholic Voices The present study involves the identification of a measure for determining the effectiveness of a group that was organized and is presently coordinated to work…
Read Full Paper ❯Sociology
Important measures in data summarization include measures of central tendency (i.e. "averages" or the mean, median, and/or mode) and measures of dispersion or variability -- the range of…
Read Full Paper ❯Business - Management
Leadership Effectiveness Inventory Data Reliability Analysis After collecting data from the Nordic questionnaires, a reliability test was carried out to ascertain whether the nine scales used could predict overall satisfaction with…
Read Full Paper ❯Business - Ethics
Rogers (2010) chapter on qualitative analysis described many useful and practical methods to help use this tool effectively and efficiently. The purpose of this essay is to examine this…
Read Full Paper ❯Accounting
Improper Data Analysis Led to the Fall of Enron The downfall of the Enron Corporation in 2001 had far reaching effects that are still felt to this day. Employees,…
Read Full Paper ❯Health - Nursing
Inductive and Deductive Analysis: Differences Thick Description in Text Analysis The concept of thick description, advanced by Gilbert yle and popularized in the fields of sociology and anthropology by Clifford Geertz,…
Read Full Paper ❯Education - Administration
grades of students' team taught and student not team taught in the MAE504 course at taking Trident University. In the quantitative research, carrying out a statistical analysis to…
Read Full Paper ❯Mathematics
DATA ANALYSIS Problem 1Answer the question: Does practice time make a difference? Support your answer with your findings.The ANOVA single factor test was used to determine whether there was…
Read Full Paper ❯