Discussion on Data Analysis Procedures

Data Analysis Procedures

This section provides a step-by-step description of the procedures to be used to conduct the data analysis. The key elements of this section include:· A description of how the data were collected and organized for each variable or group.· A description of the type of data to be analyzed, identifying the descriptive, inferential, or nonstatistical analyses.· Demonstration that the project analysis is aligned to the specific project design.· A description of the clinical question(s).· A detailed description of the relevant data collected and analyzed for each stated clinical question.· A description of how the raw data were organized and prepared for analysis. Provides a step-by-step description of the procedures used to conduct the data analysis.

A detailed description of any statistical and nonstatistical analysis to be employed. (see Figure 2 & 3) A rationale is provided for each of the data analysis procedures (statistical and nonstatistical) employed in the project. A demonstration that the data analysis techniques align with the DPI project design. The level of the statistical significance used for the quantitative analyses is identified a priori (p<.05). References to the software used for the data analyses and assurance that the language used to describe the data analysis procedure is consistently used in Chapters 4 and 5.

Figure 2Parametric Statistics for Analysis of Ratio or Interval Level Dependent VariableNote. Image taken from Creswell and Creswell (2018). Comment by Author: Remove these figures from your manuscript. See APA 7th edition to format tables and figures.The independent variable within a quasi-experimental design will be a nominal or categorical level variable identifying the sample or group associated with the intervention. It is the dependent variable’s level of measurement which will direct the type of statistical analysis e.g. parametric versus non-parametric. If the dependent variable is a ratio, interval, the test to be used would be a parametric one. If the dependent variable is an ordinal or nominal level, a non-parametric test would be used.Figure 3Non-Parametric Statistics for Analysis of Nominal or Ordinal Level Dependent Variable

Note. Image taken from Creswell and Creswell (2018). Comment by Author: Remove these figures from your manuscript. See APA 7th edition to format tables and figures.Be specific on the type of analysis being performed, the type of variables analyzed, the level of measurement, and the statistical test performed to answer the clinical question.

Potential Bias and Mitigation

When we refer to bias in quantitative methodology, we are often referring to threats to the internal validity of a study. Internal validity is the degree to which the results are accurate and the procedures of the experiment support the ability to draw correct assumptions or inferences about the results (Roush, 2020). Bias can be intentional or unintentional, and intentional is not moral and invalidates your projects results. So let’s stick to how bias can occur!Bias in sampling can occur. A sampling method is called biased if it systematically favors some outcomes over others. The following example shows how a sample can be biased, even though there is some randomness in the selection of the sample.Example:If my project employs an intranet survey and there are people who meet the criteria but do not have access to the internet to take the survey, I will miss all those people who met the criteria for participation!Here are some common sources and consequences of bias:Convenience samples:Sometimes it is not possible or not practical to choose a random sample. In those cases, a convenience sample might be used. Sometimes it is plausible that a convenience sample could be considered as a random sample, but often a convenience sample is biased. If a convenience sample is used, inferences are not as trustworthy as if a random sample is used.Bias may be present in data collection. While collecting data for the DPI, there are numerous ways by which the Learners may introduce bias to the project. If, for example, during patient recruitment, some patients are less or more likely to participate in the project such sample would not be representative of the population in whichthis project is done (Roush, 2020). In that case, these subjects who are less likely to enter the study will be underrepresented and those who are more likely to enter the study will be over-represented relative to others in the general population, to which conclusions of the study are to be applied to (Roush, 2020). This is what we call a selection bias. To ensure that a sample is representative of a population, sampling should be random, i.e. every subject needs to have equal probability to be included in the DPI. It should be noted that sampling bias can also occur if sample is too small to represent the target population. For example, if the aim of the DPI is to assess the if motivational interviewing in psychiatric patients improves medication adherence the Learners may only be able to recruit otherwise healthy, stable patients during a regularly scheduled well check-up. By recruiting only well patients and the inability to use all psychiatric clients that can consent this is another bias.Bias can also occur in the data analysis right? We often are only looking at data that gives preference to answering the clinical question. If the data is misrepresented or not fully reported or even manipulated this is a bias (Fox & Lash, 2020). Comment by Author: Make sure all citations are entered in the reference list as the reviewers will check all citations and references for accuracy.Bias may occur in the data interpretation. It is imperative to run the correct statistical analysis (Fox & Lash, 2020). The data must be correctly analyzed and presented as is. Do not report only what was significant or discuss what was not significant. Consider a project where your pre and post-knowledge test for nurses did not show a statistical significance in using the tool. However, if the tool decreased readmission rates by 50% was it clinically significant? This observation should be discussed in detail.CriterionLearner Score (0, 1, 2, or 3)Chairperson Score (0, 1, 2, or 3)Comments or FeedbackData Analysis Procedures and potential bias and mitigationThis section describes how the data was collected for each variable or group. It describes the type of data to be analyzed, identifying the descriptive, inferential, or nonstatistical analyses. This section demonstrates that the project analysis is aligned to the specific project design.This section describes the clinical question(s).This section describes, in detail, the relevant data collected for each stated clinical question or variable.This section describes how the raw data were organized and prepared for analysis.This section provides a step-by-step description of the procedures used to conduct the data analysis.This section describes, in detail, any statistical and nonstatistical analysis to be employed.This section provides the rationale for each of the data analysis procedures (statistical and nonstatistical) employed in the project.This section demonstrates that the data analyses techniques align with the DPI project research design.This section states the level of statistical significance for quantitative analyses as appropriate.POTENTIAL BIAS: This section describes the threats to the internal validity of a study. Bias can be intentional or unintentional, and intentional is not moral and invalidates your projects results.Discuss any bias there may be in the projects sampling and how this was mitigatedDiscuss possible bias the project’s data collection and how this was mitigated.Discuss possible bias in data analysis and how this was mitigated.Discuss how bias can occur in data interpretation and how this was mitigated.This section is written in a way that is well structured, has a logical flow, and uses correct paragraph structure, sentence structure, punctuation, and APA format.NOTE: Once the document has been approved by your chairperson and your committee and is ready to submit for AQR review, please remove all of these assessment tables from this document.Score 0 (not present); 1 (unacceptable; needs substantial edits); 2 (present but needs some editing); 3 (publication ready).

Ethical Considerations

This section discusses the potential ethical issues surrounding the project, as well as how human subjects and data will be protected. The key ethical issues that must be addressed in this section include:· Identify how any potential ethical issues will be addressed.· Provide a discussion of ethical issues related to the project and the sample population of interest, institution, or data collection process.· Address anonymity, confidentiality, privacy, lack of coercion, informed consent, and potential conflict of interest.· Demonstrate adherence to the key principles of the Belmont Report (respect, justice, and beneficence) in the project design, sampling procedures, and within the theoretical framework, practice or patient problem, and clinical questions.· Discuss how the data will be stored, safeguarded, and destroyed.· Discuss how the results of the project will be published.· Discuss any potential conflict of interest on the part of the investigator.· Reference IRB approval to conduct the project, which includes subject recruiting and informed consent processes, in regard to the voluntary nature of project.· Include the IRB approval letter with the protocol number, informed consent/subject assent documents, or any other measures required to protect the participants or institutions in an appendix.CriterionLearner Score (0, 1, 2, or 3)Chairperson Score (0, 1, 2, or 3)Comments or FeedbackEthical ConsiderationsThis section discusses the potential ethical issues surrounding the DPI project, as well as how human subjects and data will be protected. It identifies how any potential ethical issues will be addressed.This section provides a discussion of ethical issues related to the project and the sample population of interest.This section addresses anonymity, confidentiality, privacy, lack of coercion, informed consent, and potential conflict of interest.This section demonstrates adherence to the key principles of the Belmont Report (respect, justice, and beneficence) in the project design, sampling procedures, and within the theoretical framework, problem, and questions.This section is written in a way that is well structured, has a logical flow, and uses correct paragraph structure, sentence structure, punctuation, and APA format.NOTE: Once the document has been approved by your chairperson and your committee and is ready to submit for AQR review, please remove all of these assessment tables from this document.Score 0 (not present); 1 (unacceptable; needs substantial edits); 2 (present but needs some editing); 3 (publication ready).

Limitations

While Chapter 1 addresses the broad, overall limitations of the project, this section discusses in detail the limitations related to the DPI project approach and methodology and the potential impacts on the results. This section describes any limitations related to the methods, sample, instrumentation, data collection process, and analysis. Other methodological limitations of the project may include issues with regard to the sample in terms of size, population and procedure, instrumentation, data collection processes, and data analysis. This section also contains an explanation of why the existing limitations are unavoidable and are not expected to affect the results negatively.Here you need to consider potential limitations and delimitations, which could impact your proposed project’s implementation. Are the nursing staff resistant to change? Is there currently a culture inherent in the site where the use of evidence-based practice is openly used/welcomed by staff? What strategies might you use to overcome any barriers you might face? How will you capitalize upon any facilitators you have identified?CriterionLearner Score (0, 1, 2, or 3)Chairperson Score (0, 1, 2, or 3)Comments or FeedbackLimitationsThis section discusses, in detail, the limitations related to the project approach and methodology and the potential impacts on the results.This section describes any limitations related to the methods, sample, instrumentation, data collection process, and analysis. This section explains why the existing limitations are unavoidable and are not expected to affect the results negatively.This section is written in a way that is well structured, has a logical flow, and uses correct paragraph structure, sentence structure, punctuation, and APA format.NOTE: Once the document has been approved by your chairperson and your committee and is ready to submit for AQR review, please remove all of these assessment tables from this document.Score 0 (not present); 1 (unacceptable; needs substantial edits); 2 (present but needs some editing); 3 (publication ready).

Summary

This section restates what was written in Chapter 3 and provides supporting citations for key points. Your summary should demonstrate an in-depth understanding of the overall project design and analysis techniques. The Chapter 3 summary ends with a discussion that transitions the reader to Chapter 4. Comment by Author: Use INSERTPage Break to set new page for the reference list.CriterionLearner Score (0, 1, 2, or 3)Chairperson Score (0, 1, 2, or 3)Comments or FeedbackSummaryThis section restates what was written in Chapter 3 and provides supporting citations for key points.This section summarizes key points presented in Chapter 3 with appropriate citations.This section demonstrates in-depth understanding of the overall project design and data analysis techniques.This section ends with a transition discussion focus for Chapter 4.This section is written in a way that is well structured, has a logical flow, and uses correct paragraph structure, sentence structure, punctuation, and APA format.NOTE: Once the document has been approved by your chairperson and your committee and is ready to submit for AQR review, please remove all of these assessment tables from this document.Score 0 (not present); 1 (unacceptable; needs substantial edits); 2 (present but needs some editing); 3 (publication ready).

Chapter 4: Data Analysis and Results

The purpose of this chapter is to summarize the collected data, how it was analyzed and then to present the results. This section of Chapter 4 briefly restates the problem statement, the methodology, the clinical question(s) or phenomena, and then offers a statement about what will be covered in this chapter. Chapter 4 should present the results of the project as clearly as possible, leaving the interpretation of the results for Chapter 5. Make sure this chapter is written in past tense and reflects how the project was actually conducted.This chapter typically contains the analyzed data, often presented in both text and tabular or figure format. To ensure readability and clarity of findings, structure is of the utmost importance in this chapter. Sufficient guidance in the narrative should be provided to highlight the findings of greatest importance for the reader. Most investigators begin with a description of the sample and the relevant demographic characteristics presented in text or tabular format.Ask the following general questions before starting this chapter: Comment by Author: Edit the style (FORMAT–>STYLE–> Modify–>(drop down box that says format)–>Paragraph–> set indentation Left 0.25″, Special = hanging; by= 0.5″ THEN click on TABS (lower left corner) and make sure it is set at .75″ edit the style (FORMAT–>STYLE–> Modify–>(drop down box that says format)–>Paragraph–> set indentation Left 0.25″, Special = hanging; by= 0.5″ THEN click on TABS (lower left corner) and make sure it is set at .75″Is there sufficient data to answer each of the clinical question(s) asked in the project? (see Appendix C) One procedure for determining a sample size ahead of the project is a power analysis.Is there sufficient data to support the conclusions you will make in Chapter 5? (see Appendix D) If using SPSS version 26 to perform analyses, the data is entered and coded using numbers or numerical codes.Is the project written in the third person? Never use the first person.Is the data clearly explained using a table, graph, chart, or text? (see Appendix E)Visual organizers, including tables and figures, must always be introduced, presented and discussed within the text first. Never insert them without these three steps. It is often best to develop all of the tables, graphs, charts, etc. before writing any text to further clarify how to proceed. Point out the salient results and present those results by table, graph, chart, or other form of collected data. See Appendix E for examples of APA formatted tables and figures.Criterion Comment by Author: All of the criterion tables must be removed prior to all AQR, IRB, and final submissions.Learner Score (0, 1, 2, or 3)Chairperson Score (0, 1, 2, or 3)Comments or FeedbackINTRODUCTION (TOTHE CHAPTER)This section of Chapter 4 briefly restates the problem statement, the methodology, the clinical question(s) or phenomena, and offers a statement about what will be covered in this chapter.Re-introduces the purpose of the practice project.Briefly describes the project methodology and/or clinical question(s) tested.Provides an orienting statement about what will be covered in the chapter.Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format.NOTE: Once the document has been approved by your chairperson and your committee and is ready to submit for review, please remove all of these assessment tables from this document.Score 0 (not present); 1(unacceptable; needs substantial edits); 2 (present, but needs some editing); 3 (publication ready).

Descriptive Data

This section of Chapter 4 provides a narrative summary of the population or sample characteristics and demographics of the participants in the project. It establishes the number of subjects, gender, age, education level or employee classification, (if appropriate), organization, or setting (if appropriate), and other appropriate sample characteristics (e.g. education level, program of project, employee classification etc.). The use of graphic organizers, such as tables, charts, histograms and graphs to provide further clarification and promote readability, is encouraged to organize and present coded data. Ensure this data cannot lead to anyone identifying individual participants in this section or identifying the data for individual participants in the data summary and data analysis that follows.For numbers, equations, and statistics, spell out any number that begins a sentence, title, or heading – or reword the sentence to place the number later in the narrative. In general, use Arabic numerals (10, 11, 12) when referring to whole numbers 10 and above, and spell out whole numbers below 10. There are some exceptions to this rule:If small numbers are grouped with large numbers in a comparison, use numerals (e.g., 7, 8, 10, and 13 trials); but, do not do this when numbers are used for different purposes (e.g., 10 items on each of four surveys).Numbers in a measurement with units (e.g., 6 cm, 5-mg dose, 2%).Numbers that represent time, dates, ages, sample or population size, scores, or exact sums of money.Numbers that represent a specific item in a numbered series (e.g., Table 1).A sample table in APA style is presented in Table 3. Be mindful that all tables fit within the required margins, and are clean, easy to read, and formatted properly using the guidelines found in Chapter 5 (Displaying Results) of the APA Publication Manual 6.0. Comment by Author: Each table must be numbered in sequence throughout the entire practice improvement project (Table 1, Table 2, etc.), or within chapters (Table 1.1, Table 1.2 for Chapter 1; Table 2.1, Table 2.2 for Chapter 2 etc.).

Table 3

A Sample Data Table Showing Correct FormattingColumn AM (SD ) Comment by Author: Statistical symbols in tables must be italicizedColumn BM (SD)Column CM (SD)Row 110.1 (1.11)20.2 (2.22)30.3 (3.33)Row 220.2 (2.22)30.3 ( 3.33)20.2 (2.22)Row 330.3 (3.33)10.1 (1.11)10.1 (1.11)Note. Adapted from “Sampling and Recruitment in Studies of Doctoral Students,” by I.M. Investigator, 2010, Journal of Perspicuity, 25, p 100. Reprinted with permission. Comment by Author: Permission must be obtained to reprint information that is not in the public domain. Letters of permission are included in the appendix.CriterionLearner Score (0, 1, 2, or 3)Chairperson Score (0, 1, 2, or 3)Comments or FeedbackDESCRIPTIVE DATAThis section of Chapter 4 provides a narrative summary of the population or sample characteristics and demographics of the participants in the project. It establishes the number of subjects, gender, age, level (if appropriate), organization, or setting (if appropriate). The use of graphic organizers, such as tables, charts and graphs to provide further clarification and promote readability, is encouraged.Provides a narrative summary of the population or sample characteristics and demographics.Graphic organizers are used as appropriate to organize and present coded data, as well as descriptive data such as tables, histograms, graphs, and/or charts.Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format.NOTE: Once the document has been approved by your chairperson and your committee and is ready to submit for review, please remove all of these assessment tables from this document.Score 0 (not present); 1(unacceptable; needs substantial edits); 2 (present, but needs some editing); 3 (publication ready).

Data Analysis Procedures

This section presents a description of the process that was used to analyze the data. If clinical question(s) guided the project, data analysis procedures can be framed relative to each clinical question. Data can also be organized by chronology of phenomena, by themes and patterns, or by other approaches as deemed appropriate according for the project. The key components included in this section are:A detailed description of the data analysis procedures.An explanation of how the raw data relates to the clinical questions(s) asked in the project for a quantitative project.A discussion of the identification of sources of error and their effect on the data.An explanation and justification of any differences in why the data analysis section does not match what was approved in Chapter 3 (if appropriate).An analysis of the reliability and validity of the data in statistical terms, for quantitative projects.Criterion Comment by Author: All of the criterion tables must be removed prior to all AQR, IRB, and final submissions.Learner Score (0, 1, 2, or 3)Chairperson Score (0, 1, 2, or 3)Comments or FeedbackDATA ANALYSIS PROCEDURESThis section presents a description of the process that was used to analyze the data. If clinical question(s) guided the project, data analysis procedures can be framed relative to each clinical question. Data can also be organized by chronology of phenomena, by themes and patterns, or by other approaches as deemed appropriateDescribes in detail the data analysis procedures.Explains and justifies any differences in why the data analysis section does not match what was approved in Chapter 3 (if appropriate).Provides validity and reliability of the data in statistical terms for quantitative methodology.Identifies sources of error and potential impact on the data.For a quantitative project, justifies how the analysis aligns with the clinical question(s) and is appropriate for the DPI project design.Section is written in a way that is well structured, has a logical flow, uses correct paragraph structure, uses correct sentence structure, uses correct punctuation, and uses correct APA format.NOTE: Once the document has been approved by your chairperson and your committee and is ready to submit for review, please remove all of these assessment tables from this document.Score 0 (not present); 1(unacceptable; needs substantial edits); 2 (present, but needs some editing); 3 (publication ready).

Results Comment by Author: When reporting statistics in the narrative, be sure to italicize statistical and mathematical variables, e.g., F test, t test, population size N, p = .03. Use commonly accepted abbreviations for statistical symbols.

This section, which is the primary section of this chapter, presents a summary and analysis of the data in a non-evaluative, unbiased, organized manner that relates to the clinical question(s). List the clinical question(s) as you are discussing them in order to ensure that the readers see that the question has been addressed. Answer the clinical question(s) in the order that they are listed for quantitative studies. The key components included in this section are:The data and the analysis of that data should be presented in a narrative, non-evaluative, unbiased, organized manner by clinical question(s).The section should also include appropriate graphic organizers, such as tables, charts, graphs, and figures.The amount and quality of the data or information is sufficient to answer the clinical question(s) is well presented, and is intelligently interpreted.Quantitative: Findings are presented by clinical question using section titles. They are presented in order of significance, if appropriate.Quantitative: Results of each statistical test are presented in appropriate statistical format with tables, graphs, and charts.Quantitative: For inferential statistics, p-value and test statistics are reported.Quantitative: Control variables (if part of the design) are reported and discussed. Outliers, if found, were reported.The results must be presented without implication, speculation, assessment, evaluation, or interpretation. Discussion of results and conclusions are left for Chapter 5. Refer to the APA Style Manual for additional lists and examples. In quantitative practice improvement projects, it is not required for all data analyzed to be presented; however, it is important to provide descriptive statistics and the results of the applicable statistic tests used in conducting the analysis of the data. It is also important that there are descriptive statistics provided on all variables. Nevertheless, it is also acceptable to put most of this in the Appendix if the chapter becomes too lengthy.Required components include descriptive and inferential statistics. Descriptive statistics describe or summarize data sets using frequency distributions (e.g., to describe the distribution for the IQ scores in your class of 30 pupils) or graphical displays such as bar graphs (e.g., to display increases in a school district’s budget each year for the past five years), as well as histograms (e.g., to show spending per child in school and display mean, median, modes, and frequencies), line graphs (e.g., to display peak scores for the classroom group), and scatter plots (e.g., to display the relationship between two variables). Descriptive statistics also include numerical indexes such as averages, percentile ranks, measures of central tendency, correlations, measures of variability and standard deviation, and measures of relative standing.Inferential statistics describe the numerical characteristics of data, and then go beyond the data to make inferences about the population based on the sample data. Inferential statistics also estimate the characteristics of populations about population parameters using sampling distributions, or estimation. Table 4 presents example results of an independent t test comparing Emotional Intelligence (EI) mean scores by gender.

Table 4t-Test for Equality of Emotional Intelligence Mean Scores by Gendert test for equality of meanstDfpEI1.90834.065After completing the first draft of Chapter 4, ask these general questions: Comment by Author: Use Line Spacing Options to “Add a Space Between Paragraph” between tables and the text following it1. Are the findings clearly presented, so any reader could understand them?Are all the tables, graphics or visual displays well-organized and easy to read?Are the important data described in the text?Is factual data information separate from analysis and evaluation?Are the data organized by clinical questions?Chapter 4 can be challenging with regard to mathematical equations and statistical symbols or variables. When including an equation in the narrative, space the equation as you would words in a sentence: + 5 = a. Punctuate equations that are in the paragraph, as you would a sentence. Remember to italicize statistical and mathematical variables, except Greek letters, and if the equation is long or complicated, set it off on its own line.Refer to your APA manual for specific details on representation of statistical information. Basic guidelines include:Statistical symbols are italicized (t, F, N, n)Greek letters, abbreviations that are not variables and subscripts that function as identifiers use standard typeface, no bolding or italicizationUse parentheses to enclose statistical values (p = .026) and degrees of freedom t(36) = 3.85 or F(2, 52) = 3.85Use brackets to enclose limits of confidence intervals 95% CIs [- 5.25, 4.95]Make sure to include appropriate graphics to present the results. Always introducepresent, and discuss the visual organizers in narrative form. Never insert a visual organizer without these three steps.A figure is a graph, chart, map, drawing, or photograph. Below is an example of a figure labeled per APA style. Do not include a figure unless it adds substantively to the understanding of the results or it duplicates other elements in the narrative. If a figure is used, a label must be placed under the figure. As with tables, refer to the figure by number in the narrative preceding the placement of the figure. Make sure a table or figure is not split between pages. Below is another example of a table and figure for you to review. (see Table 5 and Figure 4) Comment by Author: See Chapter 7 for details on correct APA style. Comment by Author: You must reference tables in the text prior to displaying the graphic.


Get Professional Assignment Help Cheaply

fast coursework help

Are you busy and do not have time to handle your assignment? Are you scared that your paper will not make the grade? Do you have responsibilities that may hinder you from turning in your assignment on time? Are you tired and can barely handle your assignment? Are your grades inconsistent?

Whichever your reason may is, it is valid! You can get professional academic help from our service at affordable rates. We have a team of professional academic writers who can handle all your assignments.

Our essay writers are graduates with diplomas, bachelor's, masters, Ph.D., and doctorate degrees in various subjects. The minimum requirement to be an essay writer with our essay writing service is to have a college diploma. When assigning your order, we match the paper subject with the area of specialization of the writer.

Why Choose Our Academic Writing Service?

  • Plagiarism free papers
  • Timely delivery
  • Any deadline
  • Skilled, Experienced Native English Writers
  • Subject-relevant academic writer
  • Adherence to paper instructions
  • Ability to tackle bulk assignments
  • Reasonable prices
  • 24/7 Customer Support
  • Get superb grades consistently

How It Works

1.      Place an order

You fill all the paper instructions in the order form. Make sure you include all the helpful materials so that our academic writers can deliver the perfect paper. It will also help to eliminate unnecessary revisions.

2.      Pay for the order

Proceed to pay for the paper so that it can be assigned to one of our expert academic writers. The paper subject is matched with the writer’s area of specialization.

3.      Track the progress

You communicate with the writer and know about the progress of the paper. The client can ask the writer for drafts of the paper. The client can upload extra material and include additional instructions from the lecturer. Receive a paper.

4.      Download the paper

The paper is sent to your email and uploaded to your personal account. You also get a plagiarism report attached to your paper.

smile and order essaysmile and order essayPLACE THIS ORDER OR A SIMILAR ORDER WITH ASSIGNMENT DEN TODAY AND GET AN AMAZING DISCOUNT

order custom essay paper
Order a unique copy of this paper
(550 words)

Approximate price: $22

Basic features
  • Free title page and bibliography
  • Unlimited revisions
  • Plagiarism-free guarantee
  • Money-back guarantee
  • 24/7 support
On-demand options
  • Writer’s samples
  • Part-by-part delivery
  • Overnight delivery
  • Copies of used sources
  • Expert Proofreading
Paper format
  • 275 words per page
  • 12 pt Arial/Times New Roman
  • Double line spacing
  • Any citation style (APA, MLA, Chicago/Turabian, Harvard)

Our guarantees

We value our customers and so we ensure that what we do is 100% original..
With us you are guaranteed of quality work done by our qualified experts.Your information and everything that you do with us is kept completely confidential.

Money-back guarantee

You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.

Read more

Zero-plagiarism guarantee

The Product ordered is guaranteed to be original. Orders are checked by the most advanced anti-plagiarism software in the market to assure that the Product is 100% original. The Company has a zero tolerance policy for plagiarism.

Read more

Free-revision policy

The Free Revision policy is a courtesy service that the Company provides to help ensure Customer’s total satisfaction with the completed Order. To receive free revision the Company requires that the Customer provide the request within fourteen (14) days from the first completion date and within a period of thirty (30) days for dissertations.

Read more

Privacy policy

The Company is committed to protect the privacy of the Customer and it will never resell or share any of Customer’s personal information, including credit card data, with any third party. All the online transactions are processed through the secure and reliable online payment systems.

Read more

Fair-cooperation guarantee

By placing an order with us, you agree to the service we provide. We will endear to do all that it takes to deliver a comprehensive paper as per your requirements. We also count on your cooperation to ensure that we deliver on this mandate.

Read more

Calculate the price of your order

550 words
We'll send you the first draft for approval by September 11, 2018 at 10:52 AM
Total price:
$26
The price is based on these factors:
Academic level
Number of pages
Urgency
Open chat
1
You can contact our live agent via WhatsApp! Via +1 817 953 0426

Feel free to ask questions, clarifications, or discounts available when placing an order.

Order your essay today and save 20% with the discount code VICTORY