Data Analysis Sources for your Essay

Ed Data Analysis of Educational


The data is analyzed through a very simple and straightforward numeric comparison, as this is the only level of analysis that the data allows for. 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)

Differences Between Qualitative and Quantitative Approaches to Data Analysis


The nurse recognizes the danger that lies in care providers not collaborating with each other; and she aims at continuing her efforts until the facility's pain management techniques are so effective that those opposed to her efforts have no reason not to offer their support. Part Two: Inductive and Deductive Approaches to Data Analysis The main difference between deductive and inductive approaches to research is that whereas inductive analysis works from data to theories and concepts; deductive analysis begins with theory, and uses data to test the theory's implications (Altinay & Paraskevas, 2009)

Differences Between Qualitative and Quantitative Approaches to Data Analysis


However, deductive approaches are more common with quantitative research studies which are based on hypotheses testing and causality, and not on providing an understanding on why phenomena are the way they are. Inductive approaches, on the other hand, move from theory to data and focus on developing new theories rather than validating/falsifying existing ones (Vogt, Gardener, Haeffele & Vogt, 2014)

Data Analysis in Education


This narrow approach has limited results. By contrast, looking at student achievement results in conjunction with the context of the school and the processes that create the results gives teachers and administrators important information about what they need to do to improve learning for all students" (Bernhardt 2003)

Data Analysis in Education


¶ … 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" (Ronka et al

Coding and Data Analysis Process in Qualitative Research


¶ … Coding and Data Analysis Process in Qualitative Research "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)

Big Data Analysis


Moreover, data parallel algorithms are presented for sophisticated techniques putting more emphasis on density methods. Another crucial reflection of the article is the database system features, which facilitate agile design and flexible construction of the algorithm (Cohen, Dolan, & Dunlap 2009)

Business Data Analysis (A) Group


For instance, people may plan an excursion based on the weather forecast. However, in most times, such plans are spoilt because of ineffective forecasting (BARLOW, 2005, pp23-56)

Business Data Analysis (A) Group


The underlying estimates that the company wants to dispose are forty thousand units in the first year and anticipate an increase by as much as ten percent yearly thereafter. The underlying variable costs for every unit are approximated (Barlow, 2005, pp45-67)

Business Data Analysis (A) Group


The major aim of financial forecast is to extrapolate historical company data. Kitchenware product is a small company of stainless steel kitchen utensils and is determined in the production and marketing of a new type of carving knife (BOSLAUGH, 2012, pp202-267)

Business Data Analysis - Writing


2) 1. A major threat is being posed by the still insecure nature of online transactions, which could prevent potential customers from purchasing their products (Ghosh, 1998) 2

Business Data Analysis - Writing


E-commerce would increase consumers' interest moreover when it would allow an efficient spending of the time and would eliminate the crowdedness in the stores 6. Success registered by other companies with online strategies, such as eBay, Amazon, Barnes and Noble or Dell Computers (Goel, 2007, p

Business Data Analysis - Writing


However, they could also learn from others' mistakes and not repeat them 3. The electronic venture poses threats deriving from the need to change the organization in terms of rethinking the revenues, reengineering the business, empowering the customers, capturing customer service and expanding globally (Korper and Ellis, 2000) 4

Data Analysis of Survey on Barriers to Hospice Utilization


However, the magnitude of the differences between the three categories was modest, suggesting all three contribute significantly to hospice underutilization. This finding is consistent with the research literature (McGorty and Bornstein, 2003)

Data Analysis of Survey on Barriers to Hospice Utilization


Of primary concern are the barriers associated with physicians and NPs because they act as gatekeepers to hospice care. Researchers have shown that only about 24% of physicians surveyed were familiar with hospice care, while the rest had limited understanding of the services hospice care provides and little familiarity with hospice referrals (McNeilly and Hillary, 1997)

Data Analysis of Survey on Barriers to Hospice Utilization


¶ … 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

Data Analysis of Survey on Barriers to Hospice Utilization


Another concern is overoptimistic estimates of patient survival and Christakis and Lamont (2000) found that 63% (N = 468) of the physicians in their study fit within this category. One solution would be to extend the six-month limit on life expectancy required under the Medicare Hospice Benefit (Weckmann, 2008)

Nursing Diagnosis Care Plan Assessment Data Analysis


Prevention of clotting is usually undertaken with antiplatelet drugs, which act by a different mechanism from warfarin (which normally has no effect on platelets). It is likely with proper dosing over a series of days his symptoms will resolve (Griffiths and Hutchings, 1999)

Nursing Diagnosis Care Plan Assessment Data Analysis


Patients should have a blood test at least once a month, but sometimes they will need to have them more often, especially in the beginning. It is key that patients write down their dose and test results for their records (Fritsma, 2002)

Improper Data Analysis Led to the Fall


Andersen's misdeeds regarding data management were further compounded when after news of the federal investigation was announced, they shredded and deleted tons of information in a failed effort at a cover-up. These revelations led directly to the break-up of the firm (Nagy, 2005)