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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…
Christakis, Nicholas A. And Lamont, Elizabeth B. (2000). Extent and determinants of error in physicians' prognosis in terminally ill patients: Prospective cohort study. BMJ, 320, 469-473.
McGorty, E.K. And Bornstein, B.H. (2003). Barriers to physicians' decisions to discuss hospice: Insights gained from the United States hospice model. Journal of Evaluation in Clinical Practice, 9(3), 363-372.
McNeilly, D.P. And Hillary, K. (1997). The hospice decision: Psychological facilitators and barriers. Omega, 35, 193-197.
Temel, Jennifer S., Greer, Joseph A., Musikansky, Alona, Gallagher, Emily R., Admane, sonal, Jackson, Vicki A. et al. (2010). Early palliative care for patients with metastatic non-small-cell lung cancer. New England Journal of Medicine, 363, 733-742.
Business Intelligence and Data Analysis
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.
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…
McKenzie, J.F., Neiger, B.L., & Thackeray, R. (2013). Planning, implementing, and evaluating health promotion programs (6th ed.). San Francisco, CA: Pearson.
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…
Bernhardt, V. (2003). No schools left behind ASCD, 66 (5): 26-30. Retrieved from:
Ronka, D., Lachat, M., Slaughter, R. & Meltzer, J. (2008). Answering the questions that count. ASCD, 66 (4): 18-24. Retrieved from:
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
Data analysis and interpret Data
Present the research findings
The first approach to tackling quantitative research is to define the research question, which will assist the researcher…
Resources Projects. Statistical Services Centre, The University of Reading
Wilson, I.M. (2000). Sampling and Qualitative Research. Theme Paper for DFID project on -Integrating qualitative and quantitative approaches in socio-economic survey work.
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…
O'Connell, B., Macdonald, K. & Kelly, C. (2008, August). Nursing Handover: It's Time for a Change. Contemporary Nurse, 30(1), 2-11.
"What are Descriptive and Inferential Statistics?" (n.d.). Minitab. Retrieved January 29, 2016, from http://support.minitab.com/en-us/minitab/17/topic-library/basic-statistics-and-graphs/introductory-concepts/basic-concepts/descriptive-inferential-stats/
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.…
McBride, N. (2016). Dissemination Phase of the Intervention Research Framework: Presentation and Dissemination of Results. In Intervention Research (pp. 149-164). Springer Singapore.
Ott, R. L., & Longnecker, M. T. (2015). An introduction to statistical methods and data analysis. Nelson Education.
Stage, F. K., & Manning, K. (Eds.). (2015). Research in the college context: Approaches and methods. Routledge.
New-Hire Orientation Process
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…
Crump, E. (2010). Forecasting. Washington, D.C.: Transportation Research Board.
Gelman, A. (2009). Bayesian Data Analysis and Presentation (second ed.). Boca Raton, Fla.: Chapman & Hall/CRC
Haining, R. (2011). Spatial Data Analysis Theory and Practice. Cambridge, UK: Cambridge University Press
Catholic Voices Data nalysis
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…
Allen asks if it is possible that the Catholic Voices have "stumbled across a model for adult faith formation" and the interviewee responds by stating "Whatever we do about the speakers and media training, we want to create some kind of forum, almost an academy, for Catholic public intellectuals. The relationships we've formed with the experts have been enormously helpful. They've been delighted, because the idea has so appealed to people. I think what the pope has been saying in these days, in these speeches, underscores the need for something like this. There's been a constant summons to the lay faithful to take their place in the public square. That's the great theme of this visit, to combat aggressive secularism and so on. How do we obey the pope's call through Catholic Voices? It is really about reviving the art of apologetics." (Allen, 2010)
Success of Catholic Voices
When asked how the interviewee believes that the initiative is proceeding he answers by stating that it is going "…fantastically. I knew the incredibly negative coverage before he arrived was actually doing us a favor. I knew that the pope would defy people's expectations, because he always does that. But I've been amazed by how successful it has been. One the newspaper editorials today said, "British people are listening with curiosity and respect." Before the trip began, I said I would judge its success by one criterion only -- did people listen? I think they are listening. There are obviously people who are going to listen and then disagree, but I think he's struck a chord. Now, this visit comes at a very propitious time politically. When this visit was first announced by the previous government, the common agenda between the government and the Holy See was all about international development and poverty. It's been fascinating to see how the new government has reframed the visit, keeping that but adding the contributions of faith to building community. It's David Cameron's "Big Society" agenda, which really comes from Philip Blond, the author of Red Tory, who is a disciple of John Milbank. I recently saw them both in Rimini [the annual gathering of the Communion and Liberation movement in Italy]. Blond told the audience that his ideas had been formed by coming to Rimini over the last four years. Of course, Rimini is Catholic civil society in action and on display, it's really impressive. So, there you have Cameron's chief advisor, who's created the idea of the "Big Society," getting it from the Catholic social teaching and subsidiary on
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…
Effect 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 strength of such relationships; some things that appear to be correlative might have effect sizes that are quite small, suggesting perhaps a different causal agent common to the two phenomenon, or leading to questions requiring firther research (Shaughnessy et al. 2006). In this way, even when data analysis points away from desired conclusions, a carefully conducted research project with proper data analysis will never be entirely fruitless. Summary provides the clear and concise results of an experiment as represented through the data, and is therefore quite essential to the overall process of data analysis.
Confirming What the Data Reveals
The final stage in data analysis is confirming what the summary and individual data points do, in fact, reveal (Shaughnessy et al. 2006). Confidence intervals, such as the difference between two means, can be used in this stage of data analysis in order to confirm that the research was conducted objectively and that the data remains free from any contamination or bias in analysis (Shaughnessy et al. 2006). It is vitally important not to draw conclusions before this stage; even though certain relationships between the data points might be perceptible, determining these things to early in the process can lead to unintentional bias later on (Shaughnessy et al. 2006). Only after all of the necessary summary points of a data set have been calculated and displayed can the true import of a data set be determined, and even then it is important to proceed with skepticism and scientific caution (Shaughnessy et al. 2006). Confirming the meaning of data is the final step in analysis, but it is only the beginning of applying research findings.
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…
Centers for Disease Control and Prevention. Website. Viewed 7 March 2013. Retrieved from http://www.cdc.gov/nccdphp/dnpa/qualitative_research/
Johnson, B. et al. (2010). Structured Qualitative Research: Organizaing Mountains of Words for Data Analysis, both Qualitative and Quantitative. National Development and Research Institutes, New York June 2010. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/20222777
Rogers, P., & Goodrick, D. (2010). Qualitative data analysis. In Wholly (Ed.), Handbook of Practical Program Evaluation (3rd ed., pp. 429-453).
Leadership Effectiveness Inventory Data
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
In Table 2, descriptive statistics were recorded on individual items with descending means and respective standard deviations.
analyzing table 2 above, it is clear that three variables had means of more than 4; satisfied.…
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…
McLean, B. And Elkind, P. 2003. Smartest Guys in the Room. Portfolio Hardcover: New York.
Nagy, A. 2005. Mandatory audit firm turnover, financial reporting quality, and client bargaining power: The case of Arthur Andersen. Accounting Horizons. 19:51.
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…
Altinay, L. & Paraskevas, A. (2009). Planning Research in Hospitality and Tourism. Oxford: Routledge.
Ponterotto, J.G. (2006). Brief Note on the Origins, Evolution and Meaning of the Qualitative Research Concept 'Thick Description'. The Qualitative Report, 11(3), 538-549.
The National Academic Press. (2001). Appendix A: Example of Thin and Thick Description for Qualitative Analysis. The National Academic Press. Retrieved 7 August 2014 from http://www.nap.edu/openbook.php?record_id=10096&page=65
Vogt, P., Gardner, D.C., Haeffele, L.M. & Vogt, E.R. (2014). Selecting the Right Analyses for Your Data: Quantitative, Qualitative and Mixed Methods. New York: Guilford
"According to T-100 Domestic Market, the top seven airlines in the United States by domestic boarding in a recent year were Southwest Airlines with 81.1 million, Delta Airlines with 79.4 million, American Airlines with 72.6 million, United Airlines with 56.3 million, Northwest Airlines with 43.3 million, US Airways with 37.8 million, and Continental Airlines with 31.5 million. Using Excel, construct a pie chart and a bar graph to depict this information". ( Kaplan University, 2016 p 1).
Department of the Interior releases figures on mineral production. The following are the 15 leading states in nonfuel mineral production in the United States in 2008". ( Kaplan University, 2016 p 2).
Kaplan University (2016). Using Data Analysis in Excel. USA
.....employee data to answer some human resources related questions using the SPSS software. The screenshots of the entire data are presented in the Appendix 1 and Appendix 2. The report provides the findings for the HR (human resources) issues after carrying out the data analysis of employee's data. The outcome of the analysis reveals that workers between 25 and 55 years of age form the largest percentage of employees in the organization where the mean age of all the entire workforce is 39.19 years. However, workers between 18 and 29 years of age consist of 30.4% of the workforce. However, workers between age of 30 and 40 consist of 23.2% of employees within the organization. Employees between 41 and 50 years of age consist of 23.2% of the workforce while employees between 51 and 63 of age consist of 21.7%.
The findings also reveal the proportion of the employees belonging…
Qualitative data is characterized by the deep, rich aspects that enable researchers to enter the realm of the participants in a study. Qualitative research projects are characterized by considerable coordination challenges and tight deadlines. Business clients of market research providers and academic research colleagues anticipate that the value qualitative researchers bring to inquiry is the ability to analyze and interpret, providing insights or contributions to themes. But often these processes are given short shrift with regard to time allotments in the overall inquiry process.
Challenges of Qualitative Data Analysis (QDA)
Data analysis software is a strong tool for textual analysis, and the benefits fall primarily into three categories: (1) Efficient systematic analysis, (2) effective retrieval and identification of data, and (3) capacity. Data analysis software is a grounded in machine learning -- algorithms and mathematical approaches to textual analysis that are interpretation neutral. That is, either patterns exist in…
NVivo: NVivo supports the cognitive activities associated with qualitative research and the productivity capabilities for managing large amounts of data are strong. The students-only license is $189. The full NVivo 9 license is $650 for 1 computer installation with indefinite use.
Source: NVivo. http://www.qsrinternational.com/products_nvivo_pricing_pricelist.aspx
Atlas.ti: Use Atlas.ti collect, manage, analyze, and share both primary and secondary qualitative data. The learning curve is short, operations are intuitive, and it has embedded survey and transcription components. The cost is $99 for a student license and $1,800 for a regular single user license. Source: Atlas.ti. http://www.atlasti.co
Software Tools for Qualitative Research
Data Analysis Software Packages
Exploring Options for Research Software Tools
As a quick reference tool, I created a table to compare primary features of three data analysis software packages: NVivo 10, Atlas.ti 7; and HyperRESEARCH (which also includes HyperTRANSCRIBE as a separate complementary option). This information is shown in Table 1, which is provided at the end of this work.
After reviewing the software packages for data analysis, I believe that using a software package would be very helpful, supporting my research and enabling me to conduct data analysis more efficiently and effectively. My mixed methods approach in this study means that I will be managing and collecting both qualitative and quantitative data. Since all three of the data analysis software I have reviewed have the capability to analyze both qualitative and quantitative data, I will discuss each software package as it relates to my…
Total numbers of students in Utica Junior High for seventh and eight grades, the number of students actually tested for proficiency levels, the state student population at each grade level and numbers tested, and for truly accurate analysis a host of other demographic information would need to be taken into account (Giddens, 2006). Given the information actually provided, it would not only be practically impossible but statistically meaningless to perform real manipulation and analysis of the data. Even so, some very useful information can be gleaned form a simple side-by-side comparison of the school's proficiency percentages with overall state percentages, and in a simple assessment of the absolute value of the data points.
Interestingly, a proportionally higher number of students in seventh grade at Utica Junior High showed grade-level proficiency in both reading and mathematics, while eighth graders at the school were proportionally slightly less likely to have tested as…
Giddens, a. (2006). Sociology. Malden, MA: Polity Press.
Ohio Dept. Of Education. (2012). Proficiency Test Results (Building) for Utica Junior High School. Accessed 6 May 2012. http://ilrc.ode.state.oh.us/schools/Report.asp?Dssid=37ED891F45555A88FD7A239100A93149&desc=B.1.2%20-%20Proficiency%20Test%20Results%20(Building)&str=048025,North%20Fork%20Local,038059,Utica%20Junior%20High%20School,Licking%20County
This analysis was deemed necessary as differences can exist on the basis of an overall group effect and not an individual variable (question) effect and visa versa.
Male Mean Per Question Analysis x Department
Source of Sum of d.f.
Squares between error
Required F. value: 4.21 ? < 0.05
Concluding Statement: With a received F. value of 1.04 and a required value of F = 4.21 the conclusion can be drawn that no statistically significant differences exist in attitude toward Career Choice, Professional Relationships and Development for male radiographer participants within the three health care departments at a probability level of 95%. Therefore, all three health care groups consisting of males perceive attitudes towards Career Choice, Professional Relationships and Development the same.
Female Mean Per Question Analysis x Department
Source of Sum of d.f.
Squares between error
Required F. Value: 4.21 ? < 0.05
Take for example a human resource manager who is interested in how three different departments in a business situation waste time on the internet on a given day when they should be doing company business. The human resource person would collect data through a time study process and determine the number of times each employee in each department logs on and off the internet for personal business. The times would be collected, added together and the times of each department converted to percentages. In the example presented, the human resource manager can report that, cumulatively, the employees in Department 1 spent a total of 5 hours a day on the Internet, Department 2 employees 2 hours a day and Department 3 spent 6 hours. The raw numeric count is then converted to percentages and the pie chart would look like the following (Ohlson, 2005):
The solution to the data presented…
Ohlson, E.L. (1998). Best Fit Statistical Practices. Chicago: ACTS Testing Labs. p.43
Weirs, Ronald M. (2005). Introduction to Business Statistics. Scranton, PA: Brooks/Cole
However, additional observation visits in the site could help provide more in-depth information that will yield sub-categories for the category, "Activities in the skateboard park." Under this category, observations were identified as "skateboarders taking breaks," "skateboarding," "hanging out," "smoking marijuana," and "video- or phone video- taking." Additional visits to the site will determine if there are other activities done in the skateboard park apart from those identified already after the observation visit. It could be that the observation "hanging out" can be further subdivided into other observations. However, in coding, the key to determining categories and sub-categories is rich in-depth data, which could only be collected by conducting frequent observation visits in the site.
During the coding process, I realized that as the researcher-observer, I become more focused on my observations that are recurring and more relevant to the purpose of the site (skateboard park). As I go on…
3. SWOT Analysis
The SWOT analysis reveals the strengths, weaknesses, opportunities and threats which are likely to affect the outcome of launching the electronic commerce at Blue Cut Fashion. The strengths and weaknesses derive from internal features and amongst others, may refer to financial highlights and previous expertise. The opportunities and threats are generated by the external environment and may refer to commercial trends and technological advancements. All these are presented in the following table:
Table 1: SWOT for e-commerce at Blue Cut Fashion
1. International recognition and favorable image on the market, facilitating as such the penetration of the online market
2. Blue Cut Fashion possesses sufficient financial resources to engage in an electronic commerce venture
3. The existent logistics system could be extended to cover the delivery of the online sold clothes and shoes
4. Blue Cut Fashion employs dedicated workers which produce high quality products…
Ghosh, Anup, K., 1998, E-Commerce Security: Weak Links, Best Defenses, 1st Edition, Wiley
Goel, Ritendra, 2007, e-Commerce, Department of Computer Science and Engineering, Institute of Engineering and Technology, Lucknow, U.P.
Korper, Steffano and Ellis, Juanita, 2000, the E-Commerce Book: Building the E-Empire, 2nd Edition, Morgan Kaufman
Rosen, Anita, 2002, the E-Commerce Question and Answer Book: A Survival Guide for Business Managers, 2nd Edition, American Management Association
The Improve dimension of the House of Quality will also provide employees and management with the critical feedback and information they need to continually increase their participation and results achieved. For the employee, the Improve dimension includes the attributes of having a customizable and measurable program. Using long-term teaching techniques including autonomy, mastery and purpose, trainers in the fitness center will be able to get more employees enrolled and continually working out compared to any other approach. Measuring how effective the program is will bring greater credibility and trust in the results, and the scorecards and benchmarks will continually fuel mastery of healthcare on the part of employees. The measurable aspects of the program are particularly important to the CEO and senior management, as they will want to calculate the eturn on Investment (OI) of this program in addition to the long-term trending on healthcare costs for Scott's overall. All…
Michelle Conlin. (2007, February). GET HEALTHY -- OR ELSE: Inside one company's all-out attack on medical costs. Business Week,(4023), 58-69.
Hall, Phil. (1992). Living with TQM. Risk Management, 39(3), 20.
Sepic, Thomas, & McNabb, David. (1994). Applying TQM's golden rule to your support services. The Journal for Quality and Participation, 17(3), 44.
Talib, F., Rahman, Z., & Azam, M.. (2011). Best Practices of Total Quality Management Implementation in Health Care Settings. Health Marketing Quarterly, 28(3), 232.
Coding and Data Analysis Process in Qualitative esearch
"Coding is the process of combing the data for themes, ideas and categories and then marking similar passages of text with a code label so that they can easily be retrieved at a later stage for further comparison and analysis. Coding the data makes it easier to search the data, to make comparisons and to identify any patterns that require further investigation" (Taylor & Gibbs 2010). Coding is a critical aspect of qualitative research as without effective coding there is nothing but a sea of potentially interesting but not necessarily useable data. It could also be argued that during the coding process analysis is already taking place, given that qualitative research is empirical and proceeds 'from the ground up:' during the coding process, the theory or ideas about the subject matter are only just beginning to take shape. Some codes before the…
Chapter 17: Qualitative data analysis. Retrieved from:
Taylor, C. & Gibbs, G.R. (2010). How and what to code. Online QDA Web Site. Retrieved from:
This essayconsists of two parts. Part A is an analysis of quantitative data and Part B is an analysis of qualitative data. We will give you the data in both cases. Each part should consist of data analysis, commentary and interpretation. You should write well-structured report of between 750 and 1000 words for each part plus any diagrams and charts you produce and a list of references.
The report carries out the data analysis of employee data to answer some human resources related questions using the SPSS software. The screenshots of the entire data are presented in the Appendix 1 and Appendix 2. The report provides the findings for the HR (human resources) issues after carrying out the data analysis of employees data. The outcome of the analysis reveals that workers between 25 and 55 years of age form the largest percentage of employees in the…
The analysis of the scenario involves copying by hand devoid of utilizing excel formulae. The terminology 'What if ' scenarios mainly refer to the underlying base case of the numerical figures in the tables of the financial planning business model. It is significant to undertake checking of the entire changed cells that have altered back to their corresponding original numerical values prior to processing to a new 'What if '.
In order to aid Kitchenware Product in visualizing the underlying table that pertains to figures within the scenario 3,an individual require to draw a graph utilizing Excel's chart depicting the prevailing comparison of the corresponding profits for the diverse sales volumes taking note of the profit peak within year 3 (ARLOW, 2005, pp23-56). In the underlying report that pertains to every scenario's of net profit after tax is adequate. Nevertheless, in case there is complete spreadsheet details are demanded for…
BARLOW, J. (2005). Excel Models for Business and Operations Management. Chichester, John Wiley & Sons. http://public.eblib.com/EBLPublic/PublicView.do?ptiID=241134userid= ^u.
Barlow, J., 2005, Excel Models for Business and Operations Management, 2nd Ed. John Wiley & Sons
BOSLAUGH, S. (2012). Statistics in a nutshell. Sebastopol, CA, O'Reilly Media.
Kirca, O., Koksalan, M., 1996, "An Integrated Production and Financial
Data Warehousing: A Strategic Weapon of an Organization.
Within Chapter One, an introduction to the study will be provided. Initially, the overall aims of the research proposal will be discussed. This will be followed by a presentation of the overall objectives of the study will be delineated. After this, the significance of the research will be discussed, including a justification and rationale for the investigation.
The aims of the study are to further establish the degree to which data warehousing has been used by organizations in achieving greater competitive advantage within the industries and markets in which they operate. In a recent report in the Harvard Business eview (2003), it was suggested that companies faced with the harsh realities of the current economy want to have a better sense of how they are performing. With growing volumes of data available and increased efforts to transform that data into meaningful knowledge…
Agosta, L. (2003). Ask the Expert. Harvard Business Review, 81(6), 1.
Database: Business Source Premier.
Babcock, Charles (1995). Slice, dice & deliver. Computerworld, 29, 46, 129 -132.
Beitler, S.S., & Lean, R. (1997). Sears' EPIC Transformation: Converting from Mainframe Legacy Systems to Online Analytical Processing (OLAP). Journal of Data Warehousing (2:2), 5-16.
The five management programs have the same common dependent variables. These are the average turnover, the weekly profit and the monthly staff time cost. The independent variable for this experiment is the management system that is used. There are five different management systems that are being used at the company, and they differ in their methods. The data presented show the impact of the different management systems on the different output measures (dependent variables).
The wild card is the type of store data. The company investigated this using three store categories, and presented its findings, but they were not presented with statistical analysis. As such, they should not be considered to be an independent variable.
Outcome variables are the dependent variables.. Ultimately, for this company the variables should reflect a wider variety of output measures for each store. . The output variables should be related to the success measures.…
Investopedia (2015). Sales per square foot. Investopedia. Retrieved December 10, 2015 from http://www.investopedia.com/terms/s/sales-per-square-foot.asp
Taylor, C. (2015). What is a simple random sample? About.com. Retrieved December 10, 2015 from http://statistics.about.com/od/HelpandTutorials/a/What-Is-A-Simple-Random-Sample.htm
Baldwin, S. (2006). Organisational justice. Institute for Employment Studies. Retrieved December 10, 2015 from http://www.employment-studies.co.uk/system/files/resources/files/mp73.pdf
Hannan, M. & Freeman, J. (1984). Structural inertia and organizational change. American Sociological Review. Vol. 49 (2) 149-164.
eflexivity and esearcher's Voice In Qualitative esearch
A key feature of qualitative research is that the entire research process involves reflection and the researcher has a primary role in the research. According to Watt (2007) and itchie et al. (2013), a qualitative research is done with the primary objective being to understand and get insights on human phenomena, aspects of and nature of human experiences and the dynamic nature of process-oriented elements in human live. As a result, qualitative research is interpretive and doing a qualitative research means questioning the way humans experience the world and understand better the world. Qualitative research would therefore be credited for presenting us with the plausible possibility of understanding that makes the living-experience better and improved contact with the world.
Despite the crucial role of qualitative research, this type of research doesn't involve following rules, as the case with quantitative research (Watt, 2007; Knapik,…
Eriksson, P., & Kovalainen, A. (2015). Qualitative Methods in Business Research: A Practical Guide to Social Research. Sage.
Lewis, S. (2015). Qualitative inquiry and research design: Choosing among five approaches. Health Promotion Practice, Vol 16, Issue 4, pp. 473 - 475
Phelan, S. K., & Kinsella, E. A. (2013). Picture this... safety, dignity, and voice -- Ethical research with children: Practical considerations for the reflexive researcher. Qualitative Inquiry, 19(2), 81-90.
Ritchie, J., Lewis, J., Nicholls, C. M., & Ormston, R. (Eds.). (2013). Qualitative research practice: A guide for social science students and researchers. Sage.
From Supply Chain Efficiency to Customer Segmentation Focus
Because of this focus on supply chain forecasting accuracy and efficiency, the need for capturing very specific customer data becomes critical. The case study portrays the capturing of segmentation data as focused on growing each of the brands mentioned that VF relies on this data to base marketing, location development and store introductions, and pricing strategies on. In reality, the data delivered for these marketing programs and location-based analyses is also providing an agile and scalable platform for VF to more effectively manage and mitigate its supply chain risk as well.
elying on Alteryx for data analysis as it has superior capability to Microsoft Access and Excel in conjunction with the use of SC Software for geo-demographic analysis, VF has created a workflow for translating data warehouses into the basis of marketing and supply chain strategies. The strategic goal of getting the…
Adnan, M., Longley, P., Singleton, a., & Brunsdon, C. (2010). Towards Real-Time Geodemographics: Clustering Algorithm Performance for Large Multidimensional Spatial Databases. Transactions in GIS, 14(3), 283-297.
Paul Sheldon Foote, & Malini Krishnamurthi. (2001). Forecasting using data warehousing model: Wal-Mart's experience. The Journal of Business Forecasting Methods & Systems, 20(3), 13-17.
Yang-Im Lee, & Peter R.J. Trim. (2006). Retail marketing strategy: The role of marketing intelligence, relationship marketing and trust. Marketing Intelligence & Planning, 24(7), 730-745.
Lewis, M., Hornyak, R., Patnayakuni, R., & Rai, a.. (2008). Business Network Agility for Global Demand-Supply Synchronization: A Comparative Case Study in the Apparel Industry. Journal of Global Information Technology Management, 11(2), 5-29.
Heart Failure Admission
he project carries out the CCIP (Chronic Care Improvement Program) to alleviate the heart problem of people suffering from heart failure. he time frame of the program is within 6 months between January 1, 2015 and June 30, 2015. he total population consist of 1,606 people, and out of all the 1,606 target population enrolled for the program, 0 is the numerator and the denominator is 45. hus, 45 participants are eligible to receive program interventions. Based on the results of the PBP (Plan Benefit Package), the inpatient PBP 002 diagnosed for heart failure are 1,606 target population and the care management declined by 5% in 2014, representing a total reduction of 5% compared to 7% reduction 3 years ago.
In the additional intervention of the program, the target population selected are 1,606, where 1 meets the inclusion criteria and 11 participants are eligible to receive the…
The Study C discusses the rate of the Inpatient Admission for PBP 017 who have been diagnosed with heart failure. Patients accepted the care management declined from 4.57% in 2014 to 3.36% in the first 6 months of 2015 between January 1, 2015 and June 30, 2015. The target population is 20,021 where the numerator is 2, who are the member meeting the inclusion criteria. However, the denominator is 27, which are the people eligible to receive program intervention. Compared to the goal of 2 years ago, the results represent a total reduction of 1.21%. Nevertheless, the results of 2014 was better than the results obtained in the first 6 months of 2015 because the admission rate increased in 2015 than 2014. The results reveal that the benchmark was not achieved because it was anticipated that the admission rates of 2015 will decline to what was achieved in 2014. The added intervention revealed that out 27 Members who did not have a dispensing event for the beta-blocker, the records was able to review 8(30%) and 2 Member had LVEF of less than 40.
The program was carried out within first 6 months of 2015 between January 1, 2015 and June 30, 2015. The target population is 20,545, where the numerator is 7 and denominator is 638. The program reveals the rate of Inpatient Medicare Advantage Member who have been diagnosed for heart failure. The Inpatient admission was reduced by 2.19% in 2014 based on the CMS annual report, however, the rate of admission reduced to 1.10% in 2015 between January 1, 2015 and June 31, 2015 representing a 1.09% reduction since last years compared to 5% admission rate reduction in the last 3 years. However, 2012 base line was 16.71%. The results reveals that 2015 benchmark was not met because a reduction of admission was 1.10% in 2015, which was lower than admission rates in 2014, 2013, and 2012.
Honeypot and Honeynet Emerging Technologies
In the present IT environment, individuals and businesses are becoming more dependent an open network that includes the Internet where business transactions, government services and commercial activities are realized. However, the use of open network has led to the development of new information security issues and cyber threats that are being utilized by the cyber criminals. Thus, a mistrust in computer network technologies and telecommunications can affect socio-economic of global enterprises, an increase in the complexity of network infrastructures and communication lead to an increased demand for a new approach to cybersecurity.
Essentially, the threats in the cyber security landscapes are continuously evolving. The reactive and traditional security measures are no more sufficient to protect cyber information infrastructures. Thus, honeypots are the new emerging technology tools focusing in the areas of network forensics and network security, which is effective in enhancing network security of an…
Clark, D., Berson, T., & Lin, H.S. (2014). At the Nexus of Cybersecurity and Public Policy: Some Basic Concepts and Issues. Washington. National Academies Press.
Sokol, P. Misek, J. & Husak, M. (2017). Honeypots and honeynets: issues of privacy. EURASIP Journal on Information Security. 4.
Preventing Data Loss and Data Overload
A qualitative researcher may have to organize, document, and track large and diverse amounts of information. Consider this scenario: A researcher has interviewed 12 participants thus far and has decided to follow up with 4 of them for further interviews. Unfortunately, the researcher has placed all of the contact information on sticky notes around the computer and now cannot find the contact information for 2 of the participants. Moreover, the research supervisor is asking the researcher for a specific piece of interview transcript from one of the participants. These transcripts are all handwritten in a notebook, and the researcher has 15 unmarked notebooks where interview transcripts reside.
Would you like to be the researcher in this position? Can you think of potential problems with this organizational strategy (or lack thereof)? In this Discussion, you will consider data organization strategies so that you will not…
The main objective of this research is to examine the various factors affecting job satisfaction given that satisfaction is a dynamic phenomenon that includes a person's attitudes and behaviors. The author also seeks to examine organizational injustices and how they affect job satisfaction and organizational commitment. Organizations in the modern business environment consider job satisfaction as a legitimate factor that has strong impacts on organizational commitment. In light of this significance, it's important for organizations to evaluate and identify factors that affect job satisfaction. Therefore, this research primarily seeks to study the various factors affecting job satisfaction.
Data Analysis Methodology
To achieve the aims of this study, the researcher conducted 26 surveys on 26 different employees to determine issues that are affecting the job satisfaction in their different working environments. The researcher developed surveys with open ended questions that act as a framework of understanding what employees want…
Lumley et al. 2011, Exploring the Job Satisfaction and Organizational Commitment of Employees in the Information Technology Environment, Southern African Business Review, vol. 15, no. 1, pp.100-118.
Research Methods Knowledge Base 2006, Deduction & Induction, Research Methods Knowledge Base, viewed 22 April 2016
Satterfield, LM 2015, Factors Affecting Job Satisfaction of Radiologic Sciences Faculty: Implications for Recruitment and Retention, University of Tennessee, Knoxville, viewed 21 April 2016,
Soiferman, LK 2010, Compare and Contrast Inductive and Deductive Research Approaches, Institute of Education Sciences, viewed 22 April 2016,
recordings, what would you define as the unit for analysis? hy? How many data units (in rough estimates) are you likely to get based on this decision? Does the estimated number of data units seem adequate? hy or why not?
Through the analysis of the recordings, I would define communication as the measure for analysis. The reason being, efficacious doctor communication is vital to constructive doctor-patient relationships and proposes better health results. In addition, doctor communication is deemed the strongest and most reliable forecaster of patient assessments and evaluations of doctors (Quigley et al., 2014). Proper communication skills, together with deliberation and requisite time to effectively listen and offer apparent and clear explanations are some of the characteristics that patients expect for, the most, in physicians. As a result, the reports of doctor communication from patients are deemed to be the consistent and assertive predictor of general doctor assessments for…
Quigley, D. D., Elliott, M. N., Farley, D. O., Burkhart, Q., Skootsky, S. A., & Hays, R. D. (2014).
Specialties differ in which aspects of doctor communication predict overall physician ratings. Journal of General Internal Medicine, 29(3), 447-454. http://doi.org/10.1007/s11606-013-2663-2
Roberts, M. J., Campbell, J. L., Abel, G. A., Davey, A. F., Elmore, N. L., Maramba, I., ... Burt, J. A.
(2014). Understanding high and low patient experience scores in primary care: analysis of patients' survey data for general practices and individual doctors. BMJ, 349, g6034. http://doi.org/10.1136/bmj.g6034
Eat at My estaurant
The author of this report has been asked to answer two general sets of questions. One pertains to the mechanics of net income versus operating income and other economic factors for a business and much of the rest pertains to the financial data for three different firms. Items that will be discussed will include cash flow ratios, net income, operating income, debt to income ratios and so forth. As noted above, some answers will be general in nature while others will be quite specific. One thing that will be identified as part of this work is which of the three firms might be on thin ice given the financial statistics that are presented in relation to that firm.
First off, the difference between operating income and net income is that the former is revenues minus the cost of getting that work completed, or cost of goods…
Investopedia. (2016). Investopedia - Educating the world about finance. Investopedia. Retrieved 11 February 2016, from http://investopedia.com
NET, PHP, Crystal Reports, and more.
In order to support the end-user database application, the user must maintain files like Adobe, Acrobat (pdf), PostScript, and FrameMaker to rapidly setup, test, modify, run, save and print database. Microsoft Excel files are also needed to enable information distribution in spreadsheet form and mark-up files (e.g., HTML, XML, etc.). There is no need to learn a programming language or meta-language and the setup can be accomplished by using a graphical user interface (GUI).
The most popular way to design a database is through Relational DMS, which provides a collection of operations to manipulate relations, where data is presented as a collection of relations. A table depicts each relation, attributes as Columns, and Rows ("tuples") represent entities. Among the main features and functions of the software include: Supports various configurations (single-user, networked multi-user, and client-server); Ease of installation and distribution; Transaction processing; High speed…
F. Stamatelopoulos, N. And Roussopoulos, B. Maglaris. (1995). "Using a DBMS for Hierarchical Network Management"
SourceForge.net. "LEAP: Frequently Asked Questions" taken on November 10, 2006 from http://leap.sourceforge.net/faq.html
Stanczyk, Stefan, Bob Champion and Richard Leyton. 2nd Edition. "Theory and Practice of Relational Databases."
Based on the method the researcher use to conduct analysis, the data analysis presented is appropriate because the researcher use combination of both qualitative and quantitative methods in the data analysis.
Interpretation of esults
The interpretation of results is critical in the research studies. Based on the objective of the study, the researchers have been able to draw a significant correlation between research results and research aim and objectives. esearchers emerge the total combination of 2,991 themes to evaluate the opinion of students towards their tutors. The findings are presented in meta-theme and four meta-themes as being revealed in table 2.
Table 2: Findings in Meta-theme and four Meta-Themes combined
Endorsement ate (%)
Four Meta-themes Combine
Based on the effectiveness of TEF as a strategy to evaluate students perception on their tutors, the…
Chow, M.Y.K. Quine, S. & Li, M. (2010).Bene-ts of using a quantitative with qualitative mixed methods approach- -to identify client satisfaction and unmet needs in an HIV healthcare centre. AIDS Care. 22 (4): 491-498.
Fisher, W.P. & Stenner, A.J. (2011). Integrating qualitative and quantitative research approaches via the phenomenological method. International Journal of Multiple Research Approaches.5(1): 89 -- 103.
Onwuegbuzie, A.J. Witcher, A.E. Collins, K.M.T. et al. (2007). Perception of Students Characteristics of Effective College Teachers: A Validity Study of a Teaching Evaluation Form Using a Mixed-Methods Analysis. American Educational Research Journal, 44(1): 113 -- 160.
University of South Alabama (2011): Mixed Research: Mixed Method and Mixed Model Research. USA.
Decision Analysis System
Computers have brought a great change in our lives. A software program called spreadsheet turns the computer screen into a paper sheet one is working on. This program saves time by reducing the errors and repetitions of calculations. It is commonly used in physics labs in order to save time by getting accurate results and accumulating proper data in labs. Spreadsheets have traditionally been used by accountants for the purpose of bookkeeping and budgeting, when actually they can prove to be amazing tools for engineers and scientists as well. Using a spreadsheet, entered raw data could be manipulated and plotted through few easy commands. Furthermore, due to their built-in capability to easily plot data, spreadsheets prove to be especially useful (Karmakar et al., 2007).
Initially introduced in the corporate world in late 1970s and the early 1980s, it proved to be an immediate success. The usefulness, power…
Karmakar, S., C. Lagu, J. Agnew and H. Landry (2007) Integrated decision support system (DSS) for manure management: a review and perspective. Computers and Electronics in Agriculture, 57, 190 -- 201.
Kong, G., D.L. Xu, X. Liu and J.B. Yang. (2009) Applying a belief rule-base inference methodology to a guideline-based clinical decision support system. Expert Systems, 26, 391 -- 408.
Ragsdale, C.T., K.P. Scheibe and M.A. Trick (2008) Fashioning fair foursomes for the fairway (using a spreadsheet-based DSS as the driver). Decision Support Systems, 45, 997 -- 1006.
eref, Michelle M.H.; Ahuja, Ravindra K.; and Winston, Wayne L. (2007). Developing spreadsheet-based decision support systems: using Excel and VBA. Dynamic Ideas.
City of Alexandria -- Time Series Data
Tufte (2001) and other ambassadors of the visual display of data have shown us how easily it is to understand complex data when it is graphically represented in ways that our minds are designed to understand. Tufte argues that "experience with the analysis of data…is essential for achieving precision and grace in the presence of statistics, .but even textbook of graphical design are silent about how to think about numbers" (Tufte, 2001, p. 104). Tufke remarks, that "Illustrators too often see their work as an exclusively artistic enterprise -- the words "creative," "concept," and "style" combine regularly in all possible permutations -- a Big Think jargon for the small task of constructing a time-series a few data points long" (Tufte, 2001, p. 204). Visual display of data has other uses than simply an elegant way to view, appreciate, and analyze data. The process…
Averch, H.A. (XXX). Chapter 10 Using expert judgment. [In XXXX].
Gladwell, M. (2007, November 12). Dangerous minds: Criminal profiling made easy. The New Yorker.
Miller, J.E. (2005). The Chicago guide to writing about multivariate analysis. Chicago, Il.: University of Chicago Press.
Meier,, K.J., Brudney, J.L., and Bohte, J. (2005). Applied statistics for public and nonprofit Administration, 6th ed. Belmont, CA: Thompson Wadsworth.
In addition, Baxter and Eyles (1997) stress that "academic discourse is sufficiently different from lay accounts" and that "the analytic views of 'outsiders' are important for understanding (pg. 505). Preserving the integrity of the respondents' responses to the interview questions will therefore be paramount in any analysis and presentation of the gathered data, even when such analysis/presentation takes place in a quantified manner. Gay & Airasian (2000) also maintain that there is a high need for data obtained through interview to remain descriptive when possible. Much of the important data in this preliminary study will be quantifiable, but other aspects will need to be treated in this more descriptive manner.
The use of case studies and the general descriptive representation of qualitative data and its analysis is a long recognized trend in the human and even the hard sciences (Leedy 2003). Even presenting certain events and phenomena within the framework…
Ambert, A.; Adler, P.; Adler, P.; Detzner, D. (1995) "Understanding and evaluating qualitative research." Journal of marriage and the family, 57(4), pp. 879-93.
Baxter, J. & Eyles, J. (1997).: Evaluating qualitative research in social geography: Establishing 'rigour' in interview analysis." Transactions of the institute of British geographers, 22(4), pp. 505-25.
Feder, P. (1974). "Graphical techniques in statistical data analysis: Tools for extracting information from data." Technometrics, 16(2), pp. 287-99.
Gay, L.R. & Airasian, P. (2000). Educational research: Competencies for analysis and application (6th ed.). Upper Saddle River, NJ: Merrill.
The goal of quantitative research is to determine whether there is a truth in the predictive generalizations of a theory which assists in explaining understanding the phenomenon.
By contrast, qualitative research base its inquiry in understanding the human problem using multiple perspective, and the research is conducted in the natural setting in order to understand the phenomenon. While quantitative research uses survey, experimental and Quasi-Experiments methods to collect data, qualitative research uses the interview, case study and focus group as methods of data collection. The survey method involves using questionnaires for data collection with the intent of estimating the interest of the large population based on the smaller sample population. The qualitative research uses the phenomenological approach to understand the human experience. The goal is to immense into the phenomenon to understand the people being studied. The qualitative method also uses the case studies to explore the phenomenon being studied.…
Al-Hamdan, Z. & Anthony, D. (2010). Deciding on a mixed-methods design in a doctoral study. Nurse Researcher. 18 (1):45-56.
Aykut, D. (2010). Outward FDI from developing countries are up, notably South-South flows. World Bank Report.
Bradley, E.H., L.A. And Devers, K.J. (2007). "Qualitative Data Analysis for Health Services Research: Developing Taxonomy, Themes, and Theory." Health
Services Research 42 (4): 1758 -- 72.
First, there is open coding, where frequently used words or concepts help separate useful data from other data that may not be useful in that particular research context. Next, the researchers turn to selective coding, which is "the process that links all categories and sub-categories to the core category thus facilitating the emergence of the 'storyline' or theory" (Corbin & Strauss, 2008, p. 155). This style of coding focuses on making relationships out of the emerging categories of more abstract qualitative data. Last, there is axial coding, which strengthens relationships between core concepts and categories. According to the research, "this process is used to make connections between categories and sub-categories and allows a conceptual framework to emerge" (Corbin & Strauss, 2008, p. 154). By using such coding methods, core concepts can help point to meaningful answers.
Moreover, data collection can be overlapping with data analysis within the context of qualitative…
Corbin, J.M., & Strauss, a.L. (2008). Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory (2nd ed.). Thousand Oaks, CA: Sage.
National Science Foundation. (1997). What is qualitative analysis. Analyzing Qualitative Data. Web. http://www.nsf.gov/pubs/1997/nsf97153/chap_4.htm
SQL and ig Data
Gaining greater insights into terabytes of unstructured and structured data organizations have been collecting in many cases for decades across diverse computing and storage platforms are increasingly being unified through advanced data and system architectures. ig Data is the term used to define very large, diverse data sets that contain both structured and unstructured data that defy analysis using conventional database management and analytics applications (International Journal of Micrographics & Optical Technology, 2010). ig Data is an area generating much interest in enterprises as this collection of data analysis, aggregation and extraction techniques continue to deliver valuable insights into how companies can become more competitive (Datskovsky, 2013). Structured Query Language (SQL) is a widely accepted approach to querying databases, aggregating and analyzing data and creating useful reports that guide decision making in organizations (Rys, 2011). Enterprise software companies are creating ig Data analytics applications that include…
Baker, B. 2013, "Enterprise Analytics: Optimize Performance, Process and Decisions Through Big Data," Quality Progress, vol. 46, no. 6, pp. 68.
Datskovsky, Galina, PhD., C.R.M. 2013, "Harnessing Big Data for Competitive Advantage," Information Management, vol. 47, no. 1, pp. 1.
Ferguson, R.B. 2013, "The Big Deal About a Big Data Culture (and Innovation)," MIT Sloan Management Review, vol. 54, no. 2, pp. 1-5.
Ferguson, R.B. 2012, "The Storage and Transfer Challenges of Big Data," MIT Sloan Management Review, vol. 53, no. 4, pp. 1-4.
State education agencies and local school districts needs to work to incorporate the major provisions of the No Child Left Behind Act (U.S. Department of Education, 2004a). The evaluator feels it is imperative that as teacher preparation programs, along with state and local education agencies, address the training, recruitment, and retention of highly qualified teachers and conduct counseling sessions for every American classroom.
Teacher education programs can prepare future teachers to work in true collaborative arrangements with a variety of community stakeholders and families by helping teachers and school administrators understand the mandates, timelines, and overall missions of other public human services agencies. This type of information is critical and could be easily incorporated into the general and special education teacher preparation curricula, including field experiences in schools as well as in community human service agencies (such as mental health centers or juvenile justice).
As more educators are trained and…
Kolbe L, J. (2006) A framework for School Health Programs in the 21st Century. Journal of School Health. Pg 75:226-228.
Lechtenberger, D.A., & Mullins, F.E. (Fall, 2004). Promoting better family-school community partnerships for all of America's children. Beyond Behavior, 14(1), 17-22.
Lewis, T.J., Powers, L.J., Kelk, M.J., & Newcomer, L. (2002) Reducing problem behaviors on the playground: An investigation of the application of school-wide positive behavior supports. Psychology in the Schools, 39, 181-190.
Miles, P., Burns, E.J., Osher, T. W, Walker, J.S., & National Wraparound Initiative Advisory Group. (2006). The Wraparound process users guide: A handbook for families. Portland, OR: Portland State University, National Wraparound Initiative, Research and Training Center on Family Support and Children's Mental Health.
Decision Analysis System Modeling
"DATA DECISION ANALYSIS SYSTEM MODELING USING SPEADSHEETS"
"Data Decision Analysis System Modeling Using Spreadsheets."
Spreadsheet is one of the most popular software packages on the planet. Daily, million of business people, students and individuals use spreadsheet program to build models to assist in solving decision problems they face on their work activities. Thus, employers generally look for individuals having experience and skills with spreadsheets. Typically, spreadsheets assist in developing varieties of management techniques in modeling environment. More importantly, spreadsheets assist in developing models and make decision within a business environment.
Within the present contemporary business environment, many business managers face daunting tasks to make effective decisions. With the fast-paced and dynamic changes within a competitive business environment, business people are often faced with extremely complex business alternatives. Evaluation of the alternatives and choosing the best option from these alternatives has become a daunting task…
Evans, M.H. (2010). Course 3: Capital Budgeting Analysis. Continuing Professional Education
Lin, G.C.I. & Nagalingam, S.V. (2000). CIM justification and optimization. London: Taylor & Francis.
Ragsdale, C.T.(2010). Decision Analysis and Spreadsheet Modeling. A Practical Introduction to Management Science (4th edition). Cengage Learning.
In research, data and information collected needs to be organized in a manner that makes sense for the researcher at the analysis and report writing stages. Data can be organized depending on the data analysis objectives of the researcher. The researcher would organize qualitative data differently than a survey or quantitative data. It is through data organization that the researcher, at times, would make sense of the data at hand and would either confirm or change the direction or focus of the data analyses (while keeping in mind that any changes should still be aligned with the study's objectives).
Organizing data collected using qualitative methods require a different kind of organization or approach to data analysis. Qualitative data are made up of text relevant to the study at hand, and may be in the form of a key word, phrase, sentence, or passage from a specific discussion into…
Creswell, J. (2009). Research design: Qualitative, quantitative, and mixed methods approaches (3rd ed.). Thousand Oaks, CA: Sage Publications.
Reisman, J., Gienapp, A. And S. Stachowiak. 2007. A Handbook of Data Collection Tools: Companion to "A Guide to Measuring Advocacy and Policy." Organizational Research Services.
Tailor data analysis to organizational and employee needs.
Quantitative Data Analysis
(Cohen & Crabtree, 2006)
Quantitative data is tabulated so according to the results for different variables in the data set. This provides a comprehensive picture of the data and assists in the process of identifying patterns.
A common way of displaying the data to facilitate the analysis is by using a frequency distribution, which is an organized tabulation of the number of the responses or scores according to each variable category. Tabulation provides a structured way to determine data accuracy, identify data outliers, gauge the spread of the scores or responses, and observe categorical frequency
Quantitative data analysis using interval data that are continuous, that has a logical order with standardized differences between values, but that does not have a natural zero. Items on a Likert scale are a good example of interval data.
Data are frequently displayed in…
____. (n.d.). Research proposals for health professionals. Retreived from http://www.researchproposalsforhealthprofessionals.com/constant_comparative_method.htm
Cohen, D. & Crabtree, B. (2006, July). Qualitative research guidelines project. Retrieved from http://www.qualres.org/HomeCons-3824.html
Glaser, B.G. & Strauss, A.L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. New York: Aldine De Gruyter.
Graneheim, U.H. & Lundman, B. (2004). Qualitative content analysis in nursing research: Concepts, procedures and measures to achieve trustworthiness. Nurse Education Today, 24, 105-112.
Qualitative research is different from quantitative research methodologies on the premise that it does not rely on numerical data. Qualitative research rely on text and image since it's a type of scientific research that seeks to provide contextual descriptions of the experiences of people regarding as specific research issue. In most cases, qualitative research methods are considered suitable in identifying intangible factors through a scientific inquiry such as socioeconomic status, religion, social norms, and ethnicity (College of Computer and Information Science, n.d.). In this regard, there are several aspects that distinguish qualitative research writing, which are brought by specific designs, steps of analysis, and data collection procedures. An understanding of these aspects of qualitative research writing helps in enhancing the effectiveness of the research process and research findings.
Salient Aspects of Qualitative Research Writing
In his discussion on qualitative research procedures, Creswell (2014) proposes ten aspects that differentiate qualitative research…
The survey will not take much of your time. It will take approximately 5-10 minutes to complete.
The objective of this study is to determine human factors affecting the safe operation of the Unmanned Aerial Vehicles (UAVs) at the United States Air Force. The study is a part of research project for a Master's degree program in aviation/aerospace management. The phrase "heavy" aircraft refers to cargo, transport, or refueling aircraft. Aviation incident refers to an incident in which either the military or the National Transportation Safety Board (NTSB) conducts a safety investigation.
Following is a list of possible attributes of UAV pilots. The scale is rated from 1 to 5; "1" being "not very important" and "5" being "very important."
Please Tick an appropriate answer from 1 to 6.
For a UAV pilot to demonstrate effective aviation safety, he or she should be a:
1. Graduate from Undergraduate Pilot Training…
Barribeau, P. Butler, B. Corney, J. et al. (2005). Survey Research. [email protected] Colorado State University Department of English. Retrieved [26 August 2011] from http://writing.colostate.edu/guides/research/survey/ .
Trochim, W & Donnelly, J.P. (2007). The Research Methods Knowledge Base, (3RD Edition). Atomic Dog Publishing.USA.
Appendix 1: Survey of Perceived Characteristics of UAV Pilots
Visualize Your Data
In defining a system to be used for visualizing case information and also capable of supporting geographic information systems (GIS) crime and incident analysis, standardizing on the ESI ArcGIS Server and its Law Enforcement Data Model would provide a scalable, agile foundation for data visualization and future growth. The components or modules that need to be included in the system include Crime Analysis, Data Fusion/Intelligence Analysis, Community Corrections, COMPSTAT statistics module, esource Management, Process outing and MDT/MDC integration. Taken together these components and ArcGIS Server platform would provide for greater criminal analysis visualization and prediction over time. The use of data visualization in crime prediction and prevention, coupled with pattern and data analysis, has shown to have significant effects on reducing crime in targeted regional and metro areas (Xu, Chen, 2005).
Advantages Of Including A Data Visualization Component
There are many advantages of having a data visualization…
Heather Havenstein. (2006, January). Data Analysis May Help LAPD Fight Terrorism. Computerworld, 40(3), 4.
Pike, W., Bruce, J., Baddeley, B., Best, D., Franklin, L., May, R., Rice, D., Riensche, R., & Younkin, K.. (2009). The Scalable Reasoning System: Lightweight visualization for distributed analytics. Information Visualization: Special Issue on Visual Analytics, Science and Technology, 8(1), 71-84.
Post, F.. (2011). Data Visualization: Featuring Interactive Visual Analysis. Computer Graphics Forum, 30(2), xxiii-xxiii.
Jennifer Xu, & Hsinchun Chen. (2005). Criminal network analysis and visualization. Association for Computing Machinery. Communications of the ACM, 48(6), 100-107.
ig data: What does it mean for your business?
Once data about consumers was relatively difficult to amass. Now, in the digital age businesses are assaulted with a plethora of sources of consumer data. "Data now stream from daily life: from phones and credit cards and televisions and computers; from the infrastructure of cities; from sensor-equipped buildings, trains, buses, planes, bridges, and factories. The data flow so fast that the total accumulation of the past two years -- a zettabyte -- dwarfs the prior record of human civilization" (Shaw 2014). The big data revolution has the power to be as revolutionary as the Internet in the ways that businesses conduct commerce and consumers view themselves. "ig data is distinct from the Internet, although the Web makes it much easier to collect and share data. ig data is about more than just communication: the idea is that we can learn from…
Corbin, K. 2014. CIOs must balance cloud security and customer service. CIO Magazine.
Available at: http://www.cio.com/article/2379776/government/cios-must-balance-cloud-security-and-customer-service.html [2 Nov 2014]
Cukier, K.N. & Schoenberger, V. 2013. The rise of Big Data. Foreign Affairs. Available at:
http://www.foreignaffairs.com/articles/139104/kenneth-neil-cukier-and-viktor-mayer-schoenberger/the-rise-of-big-data [2 Nov 2014]
environmental, social and governance (ESG) performance and financial performance of companies
Investors are increasingly recognizing the fact that ESG (environmental, social, corporate governance) elements can substantially affect companies' security rates and financial performance. The aforementioned components' contribution to financial markets has been growing with the rise in number of ESG opportunities and risks within the contemporary international economy. Timely and improved organizational policy-related data access and the effect of organizational policy on communities have made it considerably convenient for customers to express their dissatisfaction by simply quitting a brand. When international brands' images are sullied by ESG-related problems, the resultant instantaneous backlash has the capacity of abruptly and negatively impacting income and demand (Eccles, Ioannou & Serafeim, 2014).
Organizations having a poor reputation when it comes to ESG related matters are vulnerable to monetary risks, including a very genuine threat of facing lawsuits in the future, greater remediation and regulatory…
As with any new idea, costs associated with the adaptation of a new application would be incurred mainly at the beginning as it personnel would need to be trained for using the StreamBase.
Security might be one of the main problems associated with StreamBase. Would the streaming data be encrypted or otherwise protected from malicious users? he organization adapting to StreamBase would need to be sure that the analyses were not vulnerable to security breaches. Finally, just as with streaming multimedia content, streaming data and data analysis might be problematic and prone to caching problems. Possible glitches may be due to server speeds, client PC speeds, and the speed of data transmission. If the organization relied on its own intranet and had a backup system for streaming, then it might be possible to mitigate any problems associated with real-time financial data analysis.
Vaas, Lisa. "StreamBase 2.0 argets Financials." eWeek. June…
The benefits of real-time financial data analysis would therefore far outweigh the costs. Restructuring and redesigning the organizations it department would be beneficial in other ways: forcing the introduction of new products, ideas, and processes. At the same time, increased revenues from the more robust data analysis system would more than make up for whatever costs were associated with implementing the new application. As with any new idea, costs associated with the adaptation of a new application would be incurred mainly at the beginning as it personnel would need to be trained for using the StreamBase.
Security might be one of the main problems associated with StreamBase. Would the streaming data be encrypted or otherwise protected from malicious users? The organization adapting to StreamBase would need to be sure that the analyses were not vulnerable to security breaches. Finally, just as with streaming multimedia content, streaming data and data analysis might be problematic and prone to caching problems. Possible glitches may be due to server speeds, client PC speeds, and the speed of data transmission. If the organization relied on its own intranet and had a backup system for streaming, then it might be possible to mitigate any problems associated with real-time financial data analysis.
Vaas, Lisa. "StreamBase 2.0 Targets Financials." eWeek. June 17, 2005. Retrieved Oct 18, 2008 at http://www.eweek.com/c/a/Database/StreamBase-20-Targets-Financials/1
Health Promotion and Disease Prevention: Using Data
Prior to entering the FNP program my sixteen years of nursing experience all took place in hospital settings, including work in the ICU, ER, cath lab, and same day surgery unit. I had never worked in public health or in a primary care setting and had minimal experience using health data to improve quality and patient safety. My first encounter with the use of data was in same day surgery, using SCIP core measures: we made sure our target population received their beta blocker the day of surgery, appropriate antibiotic selection, and VTE prophylaxis because this combined treatment had been shown to significantly improve outcomes and reduce recovery time.
After entering the FNP program I entered primary care where health promotion and disease prevention is at the forefront of my practice. This has renewed my love of nursing as I act as a…
high level of anecdotal data and loose interpretation involved. For any serious study, what we want is quantitative or scientific research. For a research to be truly effective, it must the following criteria:
"There must be a felt difficulty or problem to be addressed
There must be a location and definition of the felt difficulty
One must suggest solutions (hypotheses) to the problem
Using deductive reasoning one must predict the consequences of the various suggested solutions
One must test the hypothesis in action" (Blumenfeld, p. 119)
With qualitative research, there can be several challenges starting from proper research hypotheses to research data analysis. This is because qualitative research doesn't have numbers or facts included. It is purely based on interviews, life stories, anecdotes and such other expressive data which cannot be easily analyzed and the margin of error can usually be very wide.
In order to ensure good accuracy levels…
Warren J. Blumenfeld. (1993) Looking at Gay and Lesbian Life. Beacon Press.
marketing audit SWOT analysis, summarized a list key issues addressed marketing operation
Windfall Dancers Inc. Marketing esearch
Windfall Dancers Inc. is committed to its dancers and to ensuring high levels of performance. The company is nevertheless administered in a relatively artistic way, without important emphasis on the business feature. In other words, despite the emphasis on quality services, Windfall Dancers must also focus on being marketable. In essence, it has to be place more emphasis on the marketing dimension of the service and to place and promote the company in such a manner that it generates customer demands, and as such sustainable revenue.
In order to attain this objective, it is first necessary to devise a process of market research which addresses the various dimensions of the current organizational problem, namely the failure of the company to adapt to the needs of the modern day consumers, but also to promote…
Bowdin, G., O'Toole, W., Alle, J., Harris, R., McDonnell, I., 2006, Events Management, 2nd edition, Elsevier Science and Technology Books, ISBN 9780750665339
Iacobucci, D., Calder, B., 2002, Kellogg on Integrated Marketing, 1st Edition, Wiley, John & Sons Incorporated, ISBN 9780471204763
Fayolle, A., 2010, Handbook of research in entrepreneurship education, Edward Elgar Publishing
Hewson, C., 2003, Internet research methods: a practical guide for the social and behavioural sciences, SAGE
Genome-Wide Association Study for OCD Complications
The OCD (Obsessive -- compulsive disorder) is referred as repetitive behaviors and thoughts experienced by individuals. (Visscher, Brown, McCarthy, et al. (2012). Typically, the genes' characteristics of twins and families have revealed that the OCD has the feature of multifactorial familial condition involving both environmental and polygenic factors. (Moran, 2013). Genetic studies have revealed that the interaction of the glutamatergic, serotonergic, and dopaminergic systems and genes affecting them play a crucial role in functioning of the circuit. (Yang, Lee, Goddard, Mand et al. 2011). Meanwhile, the environmental factors that include psychological trauma, adverse perinatal effects and neurological trauma may modify the risk genes, which can consequently manifest the compulsive-obsessive behaviors. (Visscher, Brown, McCarthy et al. 2012). The OCD is a frequent and, relative common debilitating neuropsychiatric disorder affecting 2% of the U.S. population. (Arnold, Sicard, Burroughs, et al. (2006). Typically, the OCD is obsessions…
Arnold, P., Sicard, T., Burroughs, E. et al. (2006). Glutamate Transporter Gene SLC1A1 Associated With Obsessive-compulsive Disorder. Arch Gen Psychiatry, 63(7), p.769.
Baxter, A., Scott, K., Vos, T. and Whiteford, H. (2012). Global prevalence of anxiety disorders: a systematic review and meta-regression. Psychological Medicine, 43(05), pp.897-910.
Barrett, P., Healy-Farrell, L. & March, J. S. (2004). Cognitivebehavioral family treatment of childhood obsessive-compulsive disorder: a controlled trial. J. Am. Acad. Child Adolesc. Psychiatry . 43, 46-62.
Cantor, R., Lange, K. and Sinsheimer, J. (2010). Prioritizing GWAS Results: A Review of Statistical Methods and Recommendations for Their Application. The American Journal of Human Genetics, 86(1):.6-22.
This section analyzes the farm data of the Department of Agriculture and explores the relationship between the total number of the U.S. farms (x) and average farm size (y). The paper carries out the regression analysis for the interpretation. From the analysis, the average farm size (y) is the dependent variable and U.S. farms (x) is the independent variable. The paper uses the following equation to determine the relationship between y (dependent variable) and x (the independent variable):
y =bx +a
The summary output of the regression analysis is as follows:
Albright, C.S. Winston.S. Zappe, C. (2010). Data Analysis and Decision Making. Cengage Learning.