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Ending the Essay: Conclusions

So much is at stake in writing a conclusion. This is, after all, your last chance to persuade your readers to your point of view, to impress yourself upon them as a writer and thinker. And the impression you create in your conclusion will shape the impression that stays with your readers after they've finished the essay.

The end of an essay should therefore convey a sense of completeness and closure as well as a sense of the lingering possibilities of the topic, its larger meaning, its implications: the final paragraph should close the discussion without closing it off.

To establish a sense of closure, you might do one or more of the following:

Conclude by linking the last paragraph to the first, perhaps by reiterating a word or phrase you used at the beginning.
Conclude with a sentence composed mainly of one-syllable words. Simple language can help create an effect of understated drama.
Conclude with a sentence that's compound or parallel in structure; such sentences can establish a sense of balance or order that may feel just right at the end of a complex discussion.

To close the discussion without closing it off, you might do one or more of the following:

Conclude with a quotation from or reference to a primary or secondary source, one that amplifies your main point or puts it in a different perspective. A quotation from, say, the novel or poem you're writing about can add texture and specificity to your discussion; a critic or scholar can help confirm or complicate your final point. For example, you might conclude an essay on the idea of home in James Joyce's short story collection, Dubliners , with information about Joyce's own complex feelings towards Dublin, his home. Or you might end with a biographer's statement about Joyce's attitude toward Dublin, which could illuminate his characters' responses to the city. Just be cautious, especially about using secondary material: make sure that you get the last word.
Conclude by setting your discussion into a different, perhaps larger, context. For example, you might end an essay on nineteenth-century muckraking journalism by linking it to a current news magazine program like 60 Minutes .
Conclude by redefining one of the key terms of your argument. For example, an essay on Marx's treatment of the conflict between wage labor and capital might begin with Marx's claim that the "capitalist economy is . . . a gigantic enterprise of dehumanization "; the essay might end by suggesting that Marxist analysis is itself dehumanizing because it construes everything in economic -- rather than moral or ethical-- terms.
Conclude by considering the implications of your argument (or analysis or discussion). What does your argument imply, or involve, or suggest? For example, an essay on the novel Ambiguous Adventure , by the Senegalese writer Cheikh Hamidou Kane, might open with the idea that the protagonist's development suggests Kane's belief in the need to integrate Western materialism and Sufi spirituality in modern Senegal. The conclusion might make the new but related point that the novel on the whole suggests that such an integration is (or isn't) possible.

Finally, some advice on how not to end an essay:

Don't simply summarize your essay. A brief summary of your argument may be useful, especially if your essay is long--more than ten pages or so. But shorter essays tend not to require a restatement of your main ideas.
Avoid phrases like "in conclusion," "to conclude," "in summary," and "to sum up." These phrases can be useful--even welcome--in oral presentations. But readers can see, by the tell-tale compression of the pages, when an essay is about to end. You'll irritate your audience if you belabor the obvious.
Resist the urge to apologize. If you've immersed yourself in your subject, you now know a good deal more about it than you can possibly include in a five- or ten- or 20-page essay. As a result, by the time you've finished writing, you may be having some doubts about what you've produced. (And if you haven't immersed yourself in your subject, you may be feeling even more doubtful about your essay as you approach the conclusion.) Repress those doubts. Don't undercut your authority by saying things like, "this is just one approach to the subject; there may be other, better approaches. . ."

Copyright 1998, Pat Bellanca, for the Writing Center at Harvard University

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18 Outstanding Essay Conclusion Examples

What Is a Conclusion of an Essay: Outline and Purpose

How to write a conclusion paragraph.

Narrative Essay

Effective strategies to conclude an essay, bottom line.

One of the crucial parts of a writing piece is an essay conclusion. it is the last paragraph that creates the final impression from a paper. It is not enough just to summarize what was written in the body part. A writer must make the reader want to continue exploring the problem, share the author’s position, or finally get a clear understanding of an issue . It all depends on the essay type. Our essay writer team has come up with essay conclusion examples and useful tips to help students master the art of concluding an essay logically and effectively. Check them out!

Conclusion is the last paragraph of any academic writing, no matter whether it is a school five paragraph essay or college research paper. It is a compulsory structural part of an essay that gives a sense of closure. The purpose of writing a conclusion is to restate the main idea, summarize the key points discussed in the body of the paper showing how they support or prove your thesis, and draw a general conclusion .

What to write in a conclusion paragraph? A typical conclusion outline has three structural components:

Don’t know how to start essay conclusions? No worries! We have prepared useful tips to help you write a good conclusion for your essay. Follow these simple steps:

18 Good Conclusion Paragraph Examples

We have prepared essay conclusions for different types of papers. Check them out for better understanding of how to write a conclusion.

Argumentative

The purpose of argumentative paper is to take a stand on an issue. Check these argumentative essay conclusion examples to make your essay convincing.

The purpose of this essay type is to persuade the readers. Look through persuasive essay conclusion examples to understand how to write a conclusion that will help you win over the audience.

Critical thinking is required in this essay type. You should be able to analyze the whole piece of writing to create a strong final paragraph. Have a look at these analysis essay conclusion examples to get a general idea.

Wondering how to write a literary analysis ? Check out our guide.

These essays are easy to write. The purpose of the narrative essay conclusion is to sum up everything described and discussed in the essay.

Expository

Expository essays aim to describe or explain ideas, notions, phenomena, etc. to the reader. Such papers require research to support the ideas and be able to provide evidence. Check out a conclusion sample of an expository essay.

Are you assigned to write an exposition? Check our blog post to find out what is an expository essay and how to write it successfully.

Look at the English essay conclusion example below. It may refer to any type of paper.

There exist several most common approaches that allow to conclude an essay logically and reasonably. Here they are.

Also, we would like to remind you that there are some details that should not be included in the conclusion paragraph. Avoid:

Essay conclusion is an essential part of a paper. If you miss it or make it weak, your essay will be incomplete. Thus, try your best to conclude an essay with a strong and balanced final paragraph. It should resonate with the essay introduction and body paragraphs, summarize the whole paper, and be written using parallel sentence structures. Have a close look at conclusion sentence examples to ensure you are able to conclude an essay appropriately. If you have some questions or need help with your essay conclusion, you may ask for writing assistance. Experienced writers will help you write a logical and reasonable essay conclusion.

1. What are the components of a conclusion?

Essay conclusion usually has three main parts. They are: restated thesis statement, summary of the key points, and general conclusion. Make sure you include these parts in the final part to conclude an essay appropriately. Mind that just repeating the thesis and ideas will not work. Show your ability to analyze.

2. How to begin a conclusion?

In the last paragraph synthesize and summarize your paper. A reasonable conclusion starts with reminding readers the main idea of an essay. Make sure to paraphrase your thesis statement. Otherwise, it might seem you don’t really understand the point. Also, avoid starting the paragraph with such words as in conclusion, in summary, to conclude, to sum up, etc. It looks primitive and unprofessional.

It’s time for essay writing but you do not know how to start, what to write about, and how to organize your work? This article will guide you on how to write a 500 word essay fast, will reveal all the essay writing secrets regarding essay structure, writing process as well as give good examples for ...

A topic sentence is an important part of your essay. Its basic function is to help you organize each paragraph by summing up its information in a brief manner to make it easier for readers to grab your point. Use topic sentence examples to write good topic sentences. Without them, your academic pape...

The essay introduction serves as a quick test of your text: if the first paragraph is well-written, the rest of the text may be superb. If you fail with making a good introduction, there’s no matter how exceptional your body and conclusion are because nobody will ever read it. Every essay writer onl...

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11.3 Analyzing a Conclusion

Learning objectives.

A magnifying glass zooming in on a lined sheet of paper

Theilr – blank dossier – CC BY-SA 2.0.

So far this chapter has focused on how to go about creating a clear conclusion. We discussed why conclusions are important, the three steps of effective conclusions, and ten different ways to conclude a speech. In this section, we’re going to examine an actual conclusion to a speech. Please read the sample conclusion paragraph for the smart dust speech.

Sample Conclusion: Smart Dust

Today, we’ve explored how smart dust may impact all of our lives in the near future by examining what smart dust is, how smart dust could be utilized by the US military, and how smart dust could impact all of our lives sooner rather than later. While smart dust is quickly transforming from science fiction to science fact, experts agree that the full potential of smart dust will probably not occur until 2025. While smart dust is definitely coming, swarms of smart dust eating people as was depicted in Michael Crichton’s 2002 novel, Prey , aren’t reality. However, as with any technological advance, there are definite ethical considerations and worries to consider. Even Dr. Kris Pister’s Smart Dust Project website admits that as smart dust becomes more readily available, one of the trade-offs will be privacy. Pister responds to these critiques by saying, “As an engineer, or a scientist, or a hair stylist, everyone needs to evaluate what they do in terms of its positive and negative effect. If I thought that the negatives of working on this project were larger than or even comparable to the positives, I wouldn’t be working on it. As it turns out, I think that the potential benefits of this technology far outweigh the risks to personal privacy.”

Now that you’ve had a chance to read the conclusion to the speech on smart dust, read it a second time and try to find the three parts of an introduction as discussed earlier in this chapter. Once you’re finished analyzing this conclusion, take a look at Table 11.2 “Smart Dust Conclusion” , which shows you how the speech was broken down into the various parts of a conclusion.

Table 11.2 Smart Dust Conclusion

Now that you have seen the above analysis of a speech conclusion, we encourage you to do a similar analysis of the conclusions of other speeches. Listen to a speech in your class or online. Does it end with a restatement of the thesis, a review of the main points, and a concluding device? Can you suggest ways to improve the conclusion?

Here is another exercise to try. Consider the specific purpose and three main points of a hypothetical speech. Based on those components, develop a conclusion for that speech.

Stand up, Speak out by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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How To Write The Conclusion Chapter

The what, why & how explained simply (with examples).

By: Jenna Crossley (PhD Cand). Reviewed By: Dr. Eunice Rautenbach | September 2021

So, you’ve wrapped up your results and discussion chapters, and you’re finally on the home stretch – the conclusion chapter . In this post, we’ll discuss everything you need to know to craft a high-quality conclusion chapter for your dissertation or thesis project.

Overview: Dissertation Conclusion Chapter

What exactly is the conclusion chapter?

The conclusion chapter is typically the final major chapter of a dissertation or thesis. As such, it serves as a concluding summary of your research findings and wraps up the document. While some publications such as journal articles and research reports combine the discussion and conclusion sections, these are typically separate chapters in a dissertation or thesis. As always, be sure to check what your university’s structural preference is before you start writing up these chapters.

So, what’s the difference between the discussion and the conclusion chapter?

Well, the two chapters are quite similar , as they both discuss the key findings of the study. However, the conclusion chapter is typically more general and high-level in nature. In your discussion chapter, you’ll typically discuss the intricate details of your study, but in your conclusion chapter, you’ll take a broader perspective, reporting on the main research outcomes and how these addressed your research aim (or aims) .

A core function of the conclusion chapter is to synthesise all major points covered in your study and to tell the reader what they should take away from your work. Basically, you need to tell them what you found , why it’s valuable , how it can be applied , and what further research can be done.

Whatever you do, don’t just copy and paste what you’ve written in your discussion chapter! The conclusion chapter should not be a simple rehash of the discussion chapter. While the two chapters are similar, they have distinctly different functions.

Discussion chapter vs conclusion chapter

What should I include in the conclusion chapter?

To understand what needs to go into your conclusion chapter, it’s useful to understand what the chapter needs to achieve. In general, a good dissertation conclusion chapter should achieve the following:

Therefore, your conclusion chapter needs to cover these core components. Importantly, you need to be careful not to include any new findings or data points. Your conclusion chapter should be based purely on data and analysis findings that you’ve already presented in the earlier chapters. If there’s a new point you want to introduce, you’ll need to go back to your results and discussion chapters to weave the foundation in there.

In many cases, readers will jump from the introduction chapter directly to the conclusions chapter to get a quick overview of the study’s purpose and key findings. Therefore, when you write up your conclusion chapter, it’s useful to assume that the reader hasn’t consumed the inner chapters of your dissertation or thesis. In other words, craft your conclusion chapter such that there’s a strong connection and smooth flow between the introduction and conclusion chapters, even though they’re on opposite ends of your document.

Need a helping hand?

conclusion analysis example

How to write the conclusion chapter

Now that you have a clearer view of what the conclusion chapter is about, let’s break down the structure of this chapter so that you can get writing. Keep in mind that this is merely a typical structure – it’s not set in stone or universal. Some universities will prefer that you cover some of these points in the discussion chapter , or that you cover the points at different levels in different chapters.

Step 1: Craft a brief introduction section

As with all chapters in your dissertation or thesis, the conclusions chapter needs to start with a brief introduction. In this introductory section, you’ll want to tell the reader what they can expect to find in the chapter, and in what order . Here’s an example of what this might look like:

This chapter will conclude the study by summarising the key research findings in relation to the research aims and questions and discussing the value and contribution thereof. It will also review the limitations of the study and propose opportunities for future research.

Importantly, the objective here is just to give the reader a taste of what’s to come (a roadmap of sorts), not a summary of the chapter. So, keep it short and sweet – a paragraph or two should be ample.

Step 2: Discuss the overall findings in relation to the research aims

The next step in writing your conclusions chapter is to discuss the overall findings of your study , as they relate to the research aims and research questions . You would have likely covered similar ground in the discussion chapter, so it’s important to zoom out a little bit here and focus on the broader findings – specifically, how these help address the research aims .

In practical terms, it’s useful to start this section by reminding your reader of your research aims and research questions, so that the findings are well contextualised. In this section, phrases such as, “This study aimed to…” and “the results indicate that…” will likely come in handy. For example, you could say something like the following:

This study aimed to investigate the feeding habits of the naked mole-rat. The results indicate that naked mole rats feed on underground roots and tubers. Further findings show that these creatures eat only a part of the plant, leaving essential parts to ensure long-term food stability.

Be careful not to make overly bold claims here. Avoid claims such as “this study proves that” or “the findings disprove existing the existing theory”. It’s seldom the case that a single study can prove or disprove something. Typically, this is achieved by a broader body of research, not a single study – especially not a dissertation or thesis which will inherently have significant and limitations. We’ll discuss those limitations a little later.

Dont make overly bold claims in your dissertation conclusion

Step 3: Discuss how your study contributes to the field

Next, you’ll need to discuss how your research has contributed to the field – both in terms of theory and practice . This involves talking about what you achieved in your study, highlighting why this is important and valuable, and how it can be used or applied.

In this section you’ll want to:

Be careful to strike a careful balance between being firm but humble in your arguments here. It’s unlikely that your one study will fundamentally change paradigms or shake up the discipline, so making claims to this effect will be frowned upon . At the same time though, you need to present your arguments with confidence, firmly asserting the contribution your research has made, however small that contribution may be. Simply put, you need to keep it balanced .

Keep it balanced

Step 4: Reflect on the limitations of your study

Now that you’ve pumped your research up, the next step is to critically reflect on the limitations and potential shortcomings of your study. You may have already covered this in the discussion chapter, depending on your university’s structural preferences, so be careful not to repeat yourself unnecessarily.

There are many potential limitations that can apply to any given study. Some common ones include:

Discussing the limitations of your research may feel self-defeating (no one wants to highlight their weaknesses, right), but it’s a critical component of high-quality research. It’s important to appreciate that all studies have limitations (even well-funded studies by expert researchers) – therefore acknowledging these limitations adds credibility to your research by showing that you understand the limitations of your research design .

That being said, keep an eye on your wording and make sure that you don’t undermine your research . It’s important to strike a balance between recognising the limitations, but also highlighting the value of your research despite those limitations. Show the reader that you understand the limitations, that these were justified given your constraints, and that you know how they can be improved upon – this will get you marks.

You have to justify every choice in your dissertation defence

Next, you’ll need to make recommendations for future studies. This will largely be built on the limitations you just discussed. For example, if one of your study’s weaknesses was related to a specific data collection or analysis method, you can make a recommendation that future researchers undertake similar research using a more sophisticated method.

Another potential source of future research recommendations is any data points or analysis findings that were interesting or surprising , but not directly related to your study’s research aims and research questions. So, if you observed anything that “stood out” in your analysis, but you didn’t explore it in your discussion (due to a lack of relevance to your research aims), you can earmark that for further exploration in this section.

Essentially, this section is an opportunity to outline how other researchers can build on your study to take the research further and help develop the body of knowledge. So, think carefully about the new questions that your study has raised, and clearly outline these for future researchers to pick up on.

Step 6: Wrap up with a closing summary

Quick tips for a top-notch conclusion chapter

Now that we’ve covered the what , why and how of the conclusion chapter, here are some quick tips and suggestions to help you craft a rock-solid conclusion.

Hopefully, this post has given you some direction and confidence to take on the conclusion chapter of your dissertation or thesis with confidence. If you’re still feeling a little shaky and need a helping hand, consider booking a free initial consultation with a friendly Grad Coach to discuss how we can help you with hands-on, private coaching.

conclusion analysis example

Psst… there’s more (for free)

This post is part of our dissertation mini-course, which covers everything you need to get started with your dissertation, thesis or research project.

You Might Also Like:

How To Write The Discussion Chapter: 6 Steps + Examples

13 Comments

Really you team are doing great!

Your guide on writing the concluding chapter of a research is really informative especially to the beginners who really do not know where to start. Im now ready to start. Keep it up guys

Really your team are doing great!

A very enjoyable, understandable and crisp presentation on how to write a conclusion chapter. I thoroughly enjoyed it. Thanks Jenna.

This was a very helpful article which really gave me practical pointers for my concluding chapter. Keep doing what you are doing! It meant a lot to me to be able to have this guide. Thank you so much.

Nice content dealing with the conclusion chapter, it’s a relief after the streneous task of completing discussion part.Thanks for valuable guidance

Thanks for your guidance

I get all my doubts clarified regarding the conclusion chapter. It’s really amazing. Many thanks.

Very helpful tips. Thanks so much for the guidance

Thank you very much for this piece. It offers a very helpful starting point in writing the conclusion chapter of my thesis.

It’s awesome! Most useful and timely too. Thanks a million times

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Compare And Contrast Essay Guide

Compare And Contrast Essay Examples

Last updated on: Mar 22, 2023

Good Compare and Contrast Essay Examples For Your Help

Reviewed By: Jacklyn H.

Published on: Mar 22, 2023

Compare and Contrast Essay Examples

Are you ready to challenge your critical thinking skills and take your writing to the next level? Look no further than the exciting world of compare and contrast essays!

As a college student, you'll have the unique opportunity to delve into the details and differences of a variety of subjects. But don't let the pressure of writing the perfect compare-and-contrast essay weigh you down.

To help guide you on this journey, we've got some great compare-and-contrast essay examples. It will make the writing process not only manageable but also enjoyable. So grab a pen and paper, and let's get started on this exciting adventure!

Compare and Contrast Essay Examples

Good Compare and Contrast Essay Examples

A compare and contrast essay is all about comparing two subjects. Writing essays is not always easy, but it can be made easier with help from the examples before you write your own first. The examples will give you an idea of the perfect compare-and-contrast essay.

We have compiled a selection of free compare-and-contrast essay examples that can help you structure this type of essay.

SAMPLE COMPARE AND CONTRAST ESSAY EXAMPLE

COMPARE AND CONTRAST ESSAY INTRODUCTION EXAMPLE

BOOK COMPARE AND CONTRAST ESSAY

CITY COMPARE AND CONTRAST ESSAY

CATS & DOGS COMPARE AND CONTRAST ESSAY

SCIENCE & ART COMPARE AND CONTRAST ESSAY

E-BOOKS & HARDBACK BOOKS COMPARE AND CONTRAST ESSAY

HOMESCHOOLING BOOKS COMPARE AND CONTRAST ESSAY

PARENTING STYLES COMPARE AND CONTRAST ESSAY

CONVENTIONAL AND ALTERNATIVE MEDICINE COMPARE AND CONTRAST ESSAY

Don't know how to map out your compare and contrast essay? Visit this link to learn how to perfectly outline your essay!

Compare and Contrast Essay Examples University

Compare and contrast paper is a common assignments for university students. This type of essay tells the reader how two subjects are the same or different from each other. Also, show the points of comparison between the two subjects.

Look at the example that is mentioned below and create a well-written essay.

COMPARE AND CONTRAST ESSAY EXAMPLE UNIVERSITY

Compare and Contrast Essay Examples College

COMPARE AND CONTRAST ESSAY EXAMPLE COLLEGE

Compare and Contrast Essay Examples High School

Compare and contrast essays are often assigned to high school students to help them improve their analytical skills.

In addition, some teachers assign this type of essay because it is a great way for students to improve their analytical and writing skills.

COMPARE AND CONTRAST ESSAY EXAMPLE HIGH SCHOOL

COMPARE AND CONTRAST ESSAY EXAMPLE 9TH GRADE

Check out the video below to gain a quick and visual comprehension of what a compare and contrast essay entails.

Compare and Contrast Essay Examples Middle school

In middle school, students have the opportunity to write a compare-and-contrast essay. It does not require an expert level of skills, but it is still a way to improve writing skills.

Middle school students can easily write a compare-and-contrast essay with a little help from examples. We have gathered excellent examples of this essay that you can use to get started.

COMPARE AND CONTRAST ESSAY EXAMPLE MIDDLE SCHOOL

COMPARE AND CONTRAST ESSAY EXAMPLES 5TH GRADE

Literary Analysis Compare and Contrast Essay Examples

The perfect way to inform readers about the pros and cons of two subjects is with a comparison and contrast essay.

It starts by stating the thesis statement, and then you explain why these two subjects are being compared in this essay.

The following is an example that you can use for your help.

LITERARY ANALYSIS COMPARE AND CONTRAST ESSAY EXAMPLE

Tough Essay Due? Hire Tough Writers!

Compare and Contrast Essay Conclusion Example

The conclusion of an essay is the last part, in which you wrap up everything. It should not include a story but rather summarize the whole document so readers have something meaningful they can take away from it.

COMPARE AND CONTRAST ESSAY CONCLUSION EXAMPLE

Struggling to think of the perfect compare-and-contrast essay topic ? Visit this link for a multitude of inspiring ideas.

Compare and Contrast Essay Writing Tips

A compare and contrast essay presents the facts point by point, and mostly, the argumentative essay uses this compared-contrasted technique for its subjects.

If you are looking for some easy and simple tips to craft a perfectly researched and structured compare and contrast essay, we will not disappoint you.

Following are some quick tips that you can keep in mind while writing your essay:

In conclusion, writing a compare and contrast essay can be an effective way to explore the similarities and differences between two topics. By using examples, it is possible to see the different approaches that can be taken when writing this type of essay.

Whether you are a student or a professional writer, these examples can provide valuable insight to enhance your writing skills. But you still don’t have to take on this challenge alone.

If you don’t feel confident in your writing skills, you can always hire our professional essay writer .

5StarEssays.com offer comprehensive essay writing service for students across the globe. Our experts are highly trained and qualified, making sure all of your essays will meet academic requirements while receiving top grades.

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Frequently Asked Questions

How do i write a compare and contrast essay.

Here are some steps that you should follow and write a great essay.

How do you start a compare and contrast essay introduction?

When writing a compare and contrast essay, it is important to have an engaging introduction that will grab the reader's attention. A good way to do this would be by starting with a question or fact related to the topic to catch their interest.

What are some good compare and contrast essay topics?

Here are some good topics for compare and contrast essay:

How long is a compare and contrast essay?

Usually, a compare and contrast essay would consist of five paragraphs but there are no hard and fast rules regarding it. Some essays could be longer than five paragraphs, based on the scope of the topic of the essay.

What are the two methods for arranging a comparison and contrast essay?

The two ways to organize and arrange your compare and contrast essay. The first one is the Point-by-Point method and the second one is the Block method.

Dr. Barbara is a highly experienced writer and author who holds a Ph.D. degree in public health from an Ivy League school. She has worked in the medical field for many years, conducting extensive research on various health topics. Her writing has been featured in several top-tier publications.

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The Writing Center • University of North Carolina at Chapel Hill

Conclusions

What this handout is about.

This handout will explain the functions of conclusions, offer strategies for writing effective ones, help you evaluate conclusions you’ve drafted, and suggest approaches to avoid.

About conclusions

Introductions and conclusions can be difficult to write, but they’re worth investing time in. They can have a significant influence on a reader’s experience of your paper.

Just as your introduction acts as a bridge that transports your readers from their own lives into the “place” of your analysis, your conclusion can provide a bridge to help your readers make the transition back to their daily lives. Such a conclusion will help them see why all your analysis and information should matter to them after they put the paper down.

Your conclusion is your chance to have the last word on the subject. The conclusion allows you to have the final say on the issues you have raised in your paper, to synthesize your thoughts, to demonstrate the importance of your ideas, and to propel your reader to a new view of the subject. It is also your opportunity to make a good final impression and to end on a positive note.

Your conclusion can go beyond the confines of the assignment. The conclusion pushes beyond the boundaries of the prompt and allows you to consider broader issues, make new connections, and elaborate on the significance of your findings.

Your conclusion should make your readers glad they read your paper. Your conclusion gives your reader something to take away that will help them see things differently or appreciate your topic in personally relevant ways. It can suggest broader implications that will not only interest your reader, but also enrich your reader’s life in some way. It is your gift to the reader.

Strategies for writing an effective conclusion

One or more of the following strategies may help you write an effective conclusion:

Strategies to avoid

Four kinds of ineffective conclusions

Works consulted

We consulted these works while writing this handout. This is not a comprehensive list of resources on the handout’s topic, and we encourage you to do your own research to find additional publications. Please do not use this list as a model for the format of your own reference list, as it may not match the citation style you are using. For guidance on formatting citations, please see the UNC Libraries citation tutorial . We revise these tips periodically and welcome feedback.

Douglass, Frederick. 1995. Narrative of the Life of Frederick Douglass, an American Slave, Written by Himself. New York: Dover.

Hamilton College. n.d. “Conclusions.” Writing Center. Accessed June 14, 2019. https://www.hamilton.edu//academics/centers/writing/writing-resources/conclusions .

Holewa, Randa. 2004. “Strategies for Writing a Conclusion.” LEO: Literacy Education Online. Last updated February 19, 2004. https://leo.stcloudstate.edu/acadwrite/conclude.html.

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When you choose to publish with PLOS, your research makes an impact. Make your work accessible to all, without restrictions, and accelerate scientific discovery with options like preprints and published peer review that make your work more Open.

How to Write Discussions and Conclusions

The discussion section contains the results and outcomes of a study. An effective discussion informs readers what can be learned from your experiment and provides context for the results.

What makes an effective discussion?

When you’re ready to write your discussion, you’ve already introduced the purpose of your study and provided an in-depth description of the methodology. The discussion informs readers about the larger implications of your study based on the results. Highlighting these implications while not overstating the findings can be challenging, especially when you’re submitting to a journal that selects articles based on novelty or potential impact. Regardless of what journal you are submitting to, the discussion section always serves the same purpose: concluding what your study results actually mean.

A successful discussion section puts your findings in context. It should include:

Tip: Not all journals share the same naming conventions.

You can apply the advice in this article to the conclusion, results or discussion sections of your manuscript.

Our Early Career Researcher community tells us that the conclusion is often considered the most difficult aspect of a manuscript to write. To help, this guide provides questions to ask yourself, a basic structure to model your discussion off of and examples from published manuscripts.

conclusion analysis example

Questions to ask yourself:

How to structure a discussion

Trying to fit a complete discussion into a single paragraph can add unnecessary stress to the writing process. If possible, you’ll want to give yourself two or three paragraphs to give the reader a comprehensive understanding of your study as a whole. Here’s one way to structure an effective discussion:

conclusion analysis example

Writing Tips

While the above sections can help you brainstorm and structure your discussion, there are many common mistakes that writers revert to when having difficulties with their paper. Writing a discussion can be a delicate balance between summarizing your results, providing proper context for your research and avoiding introducing new information. Remember that your paper should be both confident and honest about the results!

Don’t

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Consumer-based actions to reduce plastic pollution in rivers: A multi-criteria decision analysis approach

Identifying reliable indicators of fitness in polar bears

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The Beginner's Guide to Statistical Analysis | 5 Steps & Examples

Statistical analysis means investigating trends, patterns, and relationships using quantitative data . It is an important research tool used by scientists, governments, businesses, and other organizations.

To draw valid conclusions, statistical analysis requires careful planning from the very start of the research process . You need to specify your hypotheses and make decisions about your research design, sample size, and sampling procedure.

After collecting data from your sample, you can organize and summarize the data using descriptive statistics . Then, you can use inferential statistics to formally test hypotheses and make estimates about the population. Finally, you can interpret and generalize your findings.

This article is a practical introduction to statistical analysis for students and researchers. We’ll walk you through the steps using two research examples. The first investigates a potential cause-and-effect relationship, while the second investigates a potential correlation between variables.

Table of contents

Step 1: write your hypotheses and plan your research design, step 2: collect data from a sample, step 3: summarize your data with descriptive statistics, step 4: test hypotheses or make estimates with inferential statistics, step 5: interpret your results.

To collect valid data for statistical analysis, you first need to specify your hypotheses and plan out your research design.

Writing statistical hypotheses

The goal of research is often to investigate a relationship between variables within a population . You start with a prediction, and use statistical analysis to test that prediction.

A statistical hypothesis is a formal way of writing a prediction about a population. Every research prediction is rephrased into null and alternative hypotheses that can be tested using sample data.

While the null hypothesis always predicts no effect or no relationship between variables, the alternative hypothesis states your research prediction of an effect or relationship.

Planning your research design

A research design is your overall strategy for data collection and analysis. It determines the statistical tests you can use to test your hypothesis later on.

First, decide whether your research will use a descriptive, correlational, or experimental design. Experiments directly influence variables, whereas descriptive and correlational studies only measure variables.

Your research design also concerns whether you’ll compare participants at the group level or individual level, or both.

First, you’ll take baseline test scores from participants. Then, your participants will undergo a 5-minute meditation exercise. Finally, you’ll record participants’ scores from a second math test.

In this experiment, the independent variable is the 5-minute meditation exercise, and the dependent variable is the math test score from before and after the intervention. Example: Correlational research design In a correlational study, you test whether there is a relationship between parental income and GPA in graduating college students. To collect your data, you will ask participants to fill in a survey and self-report their parents’ incomes and their own GPA.

Measuring variables

When planning a research design, you should operationalize your variables and decide exactly how you will measure them.

For statistical analysis, it’s important to consider the level of measurement of your variables, which tells you what kind of data they contain:

Many variables can be measured at different levels of precision. For example, age data can be quantitative (8 years old) or categorical (young). If a variable is coded numerically (e.g., level of agreement from 1–5), it doesn’t automatically mean that it’s quantitative instead of categorical.

Identifying the measurement level is important for choosing appropriate statistics and hypothesis tests. For example, you can calculate a mean score with quantitative data, but not with categorical data.

In a research study, along with measures of your variables of interest, you’ll often collect data on relevant participant characteristics.

Population vs sample

In most cases, it’s too difficult or expensive to collect data from every member of the population you’re interested in studying. Instead, you’ll collect data from a sample.

Statistical analysis allows you to apply your findings beyond your own sample as long as you use appropriate sampling procedures . You should aim for a sample that is representative of the population.

Sampling for statistical analysis

There are two main approaches to selecting a sample.

In theory, for highly generalizable findings, you should use a probability sampling method. Random selection reduces several types of research bias , like sampling bias , and ensures that data from your sample is actually typical of the population. Parametric tests can be used to make strong statistical inferences when data are collected using probability sampling.

But in practice, it’s rarely possible to gather the ideal sample. While non-probability samples are more likely to at risk for biases like self-selection bias , they are much easier to recruit and collect data from. Non-parametric tests are more appropriate for non-probability samples, but they result in weaker inferences about the population.

If you want to use parametric tests for non-probability samples, you have to make the case that:

Keep in mind that external validity means that you can only generalize your conclusions to others who share the characteristics of your sample. For instance, results from Western, Educated, Industrialized, Rich and Democratic samples (e.g., college students in the US) aren’t automatically applicable to all non-WEIRD populations.

If you apply parametric tests to data from non-probability samples, be sure to elaborate on the limitations of how far your results can be generalized in your discussion section .

Create an appropriate sampling procedure

Based on the resources available for your research, decide on how you’ll recruit participants.

Your participants are self-selected by their schools. Although you’re using a non-probability sample, you aim for a diverse and representative sample. Example: Sampling (correlational study) Your main population of interest is male college students in the US. Using social media advertising, you recruit senior-year male college students from a smaller subpopulation: seven universities in the Boston area.

Calculate sufficient sample size

Before recruiting participants, decide on your sample size either by looking at other studies in your field or using statistics. A sample that’s too small may be unrepresentative of the sample, while a sample that’s too large will be more costly than necessary.

There are many sample size calculators online. Different formulas are used depending on whether you have subgroups or how rigorous your study should be (e.g., in clinical research). As a rule of thumb, a minimum of 30 units or more per subgroup is necessary.

To use these calculators, you have to understand and input these key components:

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Once you’ve collected all of your data, you can inspect them and calculate descriptive statistics that summarize them.

Inspect your data

There are various ways to inspect your data, including the following:

By visualizing your data in tables and graphs, you can assess whether your data follow a skewed or normal distribution and whether there are any outliers or missing data.

A normal distribution means that your data are symmetrically distributed around a center where most values lie, with the values tapering off at the tail ends.

Mean, median, mode, and standard deviation in a normal distribution

In contrast, a skewed distribution is asymmetric and has more values on one end than the other. The shape of the distribution is important to keep in mind because only some descriptive statistics should be used with skewed distributions.

Extreme outliers can also produce misleading statistics, so you may need a systematic approach to dealing with these values.

Calculate measures of central tendency

Measures of central tendency describe where most of the values in a data set lie. Three main measures of central tendency are often reported:

However, depending on the shape of the distribution and level of measurement, only one or two of these measures may be appropriate. For example, many demographic characteristics can only be described using the mode or proportions, while a variable like reaction time may not have a mode at all.

Calculate measures of variability

Measures of variability tell you how spread out the values in a data set are. Four main measures of variability are often reported:

Once again, the shape of the distribution and level of measurement should guide your choice of variability statistics. The interquartile range is the best measure for skewed distributions, while standard deviation and variance provide the best information for normal distributions.

Using your table, you should check whether the units of the descriptive statistics are comparable for pretest and posttest scores. For example, are the variance levels similar across the groups? Are there any extreme values? If there are, you may need to identify and remove extreme outliers in your data set or transform your data before performing a statistical test.

From this table, we can see that the mean score increased after the meditation exercise, and the variances of the two scores are comparable. Next, we can perform a statistical test to find out if this improvement in test scores is statistically significant in the population. Example: Descriptive statistics (correlational study) After collecting data from 653 students, you tabulate descriptive statistics for annual parental income and GPA.

It’s important to check whether you have a broad range of data points. If you don’t, your data may be skewed towards some groups more than others (e.g., high academic achievers), and only limited inferences can be made about a relationship.

A number that describes a sample is called a statistic , while a number describing a population is called a parameter . Using inferential statistics , you can make conclusions about population parameters based on sample statistics.

Researchers often use two main methods (simultaneously) to make inferences in statistics.

You can make two types of estimates of population parameters from sample statistics:

If your aim is to infer and report population characteristics from sample data, it’s best to use both point and interval estimates in your paper.

You can consider a sample statistic a point estimate for the population parameter when you have a representative sample (e.g., in a wide public opinion poll, the proportion of a sample that supports the current government is taken as the population proportion of government supporters).

There’s always error involved in estimation, so you should also provide a confidence interval as an interval estimate to show the variability around a point estimate.

A confidence interval uses the standard error and the z score from the standard normal distribution to convey where you’d generally expect to find the population parameter most of the time.

Hypothesis testing

Using data from a sample, you can test hypotheses about relationships between variables in the population. Hypothesis testing starts with the assumption that the null hypothesis is true in the population, and you use statistical tests to assess whether the null hypothesis can be rejected or not.

Statistical tests determine where your sample data would lie on an expected distribution of sample data if the null hypothesis were true. These tests give two main outputs:

Statistical tests come in three main varieties:

Your choice of statistical test depends on your research questions, research design, sampling method, and data characteristics.

Parametric tests

Parametric tests make powerful inferences about the population based on sample data. But to use them, some assumptions must be met, and only some types of variables can be used. If your data violate these assumptions, you can perform appropriate data transformations or use alternative non-parametric tests instead.

A regression models the extent to which changes in a predictor variable results in changes in outcome variable(s).

Comparison tests usually compare the means of groups. These may be the means of different groups within a sample (e.g., a treatment and control group), the means of one sample group taken at different times (e.g., pretest and posttest scores), or a sample mean and a population mean.

The z and t tests have subtypes based on the number and types of samples and the hypotheses:

The only parametric correlation test is Pearson’s r . The correlation coefficient ( r ) tells you the strength of a linear relationship between two quantitative variables.

However, to test whether the correlation in the sample is strong enough to be important in the population, you also need to perform a significance test of the correlation coefficient, usually a t test, to obtain a p value. This test uses your sample size to calculate how much the correlation coefficient differs from zero in the population.

You use a dependent-samples, one-tailed t test to assess whether the meditation exercise significantly improved math test scores. The test gives you:

Although Pearson’s r is a test statistic, it doesn’t tell you anything about how significant the correlation is in the population. You also need to test whether this sample correlation coefficient is large enough to demonstrate a correlation in the population.

A t test can also determine how significantly a correlation coefficient differs from zero based on sample size. Since you expect a positive correlation between parental income and GPA, you use a one-sample, one-tailed t test. The t test gives you:

The final step of statistical analysis is interpreting your results.

Statistical significance

In hypothesis testing, statistical significance is the main criterion for forming conclusions. You compare your p value to a set significance level (usually 0.05) to decide whether your results are statistically significant or non-significant.

Statistically significant results are considered unlikely to have arisen solely due to chance. There is only a very low chance of such a result occurring if the null hypothesis is true in the population.

This means that you believe the meditation intervention, rather than random factors, directly caused the increase in test scores. Example: Interpret your results (correlational study) You compare your p value of 0.001 to your significance threshold of 0.05. With a p value under this threshold, you can reject the null hypothesis. This indicates a statistically significant correlation between parental income and GPA in male college students.

Note that correlation doesn’t always mean causation, because there are often many underlying factors contributing to a complex variable like GPA. Even if one variable is related to another, this may be because of a third variable influencing both of them, or indirect links between the two variables.

Effect size

A statistically significant result doesn’t necessarily mean that there are important real life applications or clinical outcomes for a finding.

In contrast, the effect size indicates the practical significance of your results. It’s important to report effect sizes along with your inferential statistics for a complete picture of your results. You should also report interval estimates of effect sizes if you’re writing an APA style paper .

With a Cohen’s d of 0.72, there’s medium to high practical significance to your finding that the meditation exercise improved test scores. Example: Effect size (correlational study) To determine the effect size of the correlation coefficient, you compare your Pearson’s r value to Cohen’s effect size criteria.

Decision errors

Type I and Type II errors are mistakes made in research conclusions. A Type I error means rejecting the null hypothesis when it’s actually true, while a Type II error means failing to reject the null hypothesis when it’s false.

You can aim to minimize the risk of these errors by selecting an optimal significance level and ensuring high power . However, there’s a trade-off between the two errors, so a fine balance is necessary.

Frequentist versus Bayesian statistics

Traditionally, frequentist statistics emphasizes null hypothesis significance testing and always starts with the assumption of a true null hypothesis.

However, Bayesian statistics has grown in popularity as an alternative approach in the last few decades. In this approach, you use previous research to continually update your hypotheses based on your expectations and observations.

Bayes factor compares the relative strength of evidence for the null versus the alternative hypothesis rather than making a conclusion about rejecting the null hypothesis or not.

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