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5. CONDUCTING RESEARCH

5.3 Finding and Evaluating Sources

In this “information age” when so much information is available at our fingertips on the Internet, it is crucial to be able to critically search through the reams of information in order to select credible sources that can provide reliable and useful data to support your ideas and convince your audience. In the era of “fake news,” deliberate misinformation, AI generated “deep fakes” and hallucinations, developing the skill to evaluate the credibility of sources is critical.

In your studies so far, you have likely been expected to read academic articles and understand how they differ from popular sources: they have different audiences who read for different purposes and expect different kinds of content and use of conventions.  Academic journals contain peer-reviewed articles written by scholars, often presenting their original research, reviewing the original research of others, or performing a “meta-analysis” (an analysis of multiple studies on a given topic).

Magazines like Psychology Today are popular sources. Academic journals like the Journal of Marriage and Family are scholarly
Figure 5.3.1 Examples of Popular vs Scholarly Sources.[1]

Scholarly articles published in academic journals are usually required sources in academic research essays; they are also an integral part of engineering and business projects, as well as technical reports. Many projects require a literature review, which collects, summarizes and sometimes evaluates the work of researchers in this field whose work has been recognized as a valuable contribution to the “state of the art.” However, they are not the only kind of research you will find useful. Since you are researching in a professional field and preparing for the workplace, there are many credible kinds of sources you will draw on in a professional context. Table 5.3.1 lists several types of sources you may find useful in researching your projects.

TABLE 5.3.1 Typical research sources for technical projects
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Source Type Description
Academic Journals, Conference Papers, Dissertations, etc.

Scholarly (peer-reviewed) academic sources publish primary research done by professional researchers and scholars in specialized fields, as well as reviews of that research by other specialists in the same field.

For example, the Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science; International Journal of Robotics and Animation is one of the most highly ranked journals in the field.

Reference Works

Specialized encyclopaedias, handbooks and dictionaries can provide useful terminology and background information.

For example, the Kirk-Othmer Encyclopedia of Chemical Technology is a widely recognized authoritative source.

Do not cite Wikipedia or dictionary.com in a technical report.

Books

Chapters in Books

Books written by specialists in a given field and contain a References section can be very helpful in providing in-depth context for your ideas.

Trade Magazines and Popular Science Magazines

Reputable trade magazines contain articles relating to current issues and innovations, and therefore they can be very useful in determining the “state of the art” or what is “cutting edge” at the moment, or finding out what current issues or controversies are affecting the industry.

Examples include Computerworld, Wired, and Popular Mechanics.

Newspapers (Journalism)

Newspaper articles and media releases can offer a sense of what journalists and people in industry think the general public should know about a given topic. Journalists report on current events and recent innovations; more in-depth “investigative journalism” explores a current issue in greater detail. Newspapers also contain editorial sections that provide personal opinions on these events and issues.

Industry Websites (.com)

Commercial websites are generally intended to “sell,” so you have to select information carefully, but these can provide a wealth of privately produced research that can offers insights into  a company’s “mission statement,” organization, financials, investments, policies, strategic plan, current or planned projects, archived information, White Papers, technical reports, product details, costs estimates, etc.

Organization Websites (.org)

A vast array of .org sites can be very helpful in supplying data and information, such as NGOs, advocacy groups, think tanks, research and policy institutes, etc. These are often public service and non-profit sites and are designed to share information with the public.

Government Publications and Public Sector Web Sites (.gov/.edu/.ca)

Government departments often publish reports and other documents that can be very helpful in determining public policy, regulations, and guidelines that should be followed; demographics, statistics, trade data, labour market information, and economic conditions.

Statistics Canada,[2] for example, publishes a wide range of data.

University web sites also offer a wide array of non-academic information, such as strategic plans, facilities information, services, etc.

Patents

You may have to distinguish your innovative idea from previously patented ideas; you can look these up and get detailed information on patented or patent-pending ideas.

Laws and Regulations

You may need to understand how local, national or international laws and regulations will impact or constrain your ideas.

Public Presentations

Public Consultation meetings and representatives from industry and government speak to various audiences about current issues and proposed projects. These can be live presentations or video presentations available on YouTube or TED talks.

Other

Can you think of some more? (Radio programs, podcasts, forums, social network platforms, wikis, blogs, video sharing sites (YouTube), etc.)

Where to Look?

Researchers often use a variety of tools, depending on the type of research they want to do. Broad interdisciplinary search engines such as Google and Google scholar can be helpful in many cases, but in some instances, you may need to use more targeted tools like subject-specific databases.

Search tools in order from broadest to most focused: Google, Google advanced search, Google Scholar, Library Search, Specialized Databases
Figure 5.3.2 Search tools ranging from the broadest to the most focused and subject-specific.

The more specialized your search, the more likely you are to find credible research done by reliable expert researchers and professionals. Consulting a librarian is an effective step in your research process.  Librarians are experts in many of the fields you might be studying and can help you develop useful search terms and direct you to relevant data bases likely to hold the information your are searching for.

Evaluating Sources for Credibility

The importance of critically evaluating your sources for authority, relevance, timeliness, and credibility cannot be overstated. Anyone can put anything on the internet; and people with strong web and document design skills can make this information look very professional and credible—even if it isn’t. And as noted in Ch. 1.4, Gen AI is known for confidently producing inaccurate information and fabricating sources. Since much research is currently done online, and many sources are available electronically, developing your critical evaluation skills is crucial to finding valid, credible evidence to support and develop your ideas. Hana Lee Goldin’s “How to Spot AI Hallucinations like a Reference Librarian” should be considered required reading! 

H.G. Wells has been (mis)quoted as stating, “statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write.”[3] On the other hand, Mark Twain (supposedly quoting British Prime Minister Benjamin Disraeli) famously said, “There are three kinds of lies: lies, damned lies, and statistics.”  The fact that the actual sources of both of these “quotations” are unverifiable makes their sentiments no less true. The effective use of statistics can play a critical role in influencing public opinion as well as persuading in the workplace. However, as the fame of the second quotation indicates, statistics can be used to mislead rather than accurately inform—whether intentionally or unintentionally.

When evaluating research sources and presenting your own research, be careful to critically evaluate its authority, purpose content, and currency. 

Evaluating the Authority, Purpose, Content and Currency of Sources

AUTHORITY

Who are the researchers/authors/creators? What are their credentials? What else have they published?

Where is this information published? What kind of publication is it? What do you know about the publisher?

PURPOSE

Who is the intended audience? Why would they read this source?

What is the intended purpose of the publication? to persuade? report facts or information? Does the purpose of the publication align with your purpose?

Is the research funded? by whom? Is there a potential conflict of interest?

CONTENT

How comprehensively does this source cover your topic?

What methodology was used in the study? Is it sound? What are the stated limitations? Does the scope align with your purpose?

Does it contains sufficient data to support the claims it makes? What kind of data is used (quantitative, qualitative, mixed) and does this align with your needs?

Do visual representations of data and information make sense? avoid distortion?

CURRENCY

When was the work published or updated? Might the information be out of date?

Do you need recent research for your topic? Is research done several years or decades ago still relevant to what you are working on?

Also evaluate your own process in selecting and using research sources:

  • Why am I using this source? will it bolster the credibility of my argument?
  • Am I “cherry picking” by using inadequate or unrepresentative data that only supports my position (and ignores substantial amount of data that contradicts it)?
  • Could “cognitive bias” be at work here? Have I only consulted the kinds of sources I know will support my idea? Have I failed to consider alternative kinds of sources?
  • Am I representing the data I have collected accurately?
  • Are the data statistically relevant or significant to my argument?

Given the pie chart in Figure 5.3.3, if you only consulted articles that rejected global warming in a project related to the issue of climate change, you could be guilty of cherry picking and cognitive bias.

Pie chart showing that of the 13,950 peer-reviewed climate articles between 1991-2012, only 24 rejected global warming
Figure 5.2.2 The number of articles that reject global warming out of all peer-reviewed climate articles within a 21 year time period. [4]

Beware of Logical Fallacies

There are many logical fallacies that both writers and readers can fall prey to (see Table 5.3.1). It is important to use data ethically and accurately, and to apply logic correctly and validly to support your ideas.

TABLE 5.3.2 Common logical fallacies
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Bandwagon Fallacy

Argument from popularity – “everyone else is doing it, so we should too!”

Hasty Generalization

Using insufficient data to come to a general conclusion.

An Australian stole my wallet; therefore, all Australians are thieves!

Unrepresentative Sample

Using data from a particular subset and generalizing to a larger set that may not share similar characteristics.

e.g.:  giving a survey to only female students under 20 and generalizing results to all students.

False Dilemma

“Either/or fallacy” – presenting only two options when there are usually more possibilities to consider

e.g.:  You’re either with us or against us.

Slippery Slope

Claiming that a single cause will lead, eventually, to exaggerated catastrophic results.

Slanted Language

Using language loaded with emotional appeal and either positive or negative connotation to manipulate the reader

False Analogy

Comparing your idea to another that is familiar to the audience but which may not have sufficient similarity to make an accurate comparison

e.g.: Governing a country is like running a business.

Post hoc, ergo prompter hoc

“After this; therefore, because of this”

e.g.A happened, then B happened; therefore, A caused B.

Just because one thing happened first, does not necessarily mean that the first thing caused the second thing.

Begging the Question

Circular argument – assuming the truth of the conclusion by its premises.

e.g.I never lie; therefore, I must be telling the truth.

Ad hominem

An attack on the person making an argument does not really invalidate that person’s argument. It might make them seem a bit less credible, but it does not dismantle the actual argument or invalidate the data.

Straw Man Argument

Making a “straw man” argument means restating the opposing idea in an inaccurately absurd or simplistic manner to more easily refute or undermine it.

Others?

There are many more… can you think of some?

For a bit of fun, check out Spurious Correlations.

We all have biases when we write or argue; however, when evaluating sources, you want to be on the look out for bias that is unfair, one-sided, or discriminatory. Consider whether the author has acknowledged and addressed opposing ideas, potential gaps in the research, or limitations of the data. Look at the kind of language the author uses: is it slanted, strongly connotative, or emotionally manipulative? Is the supporting evidence presented logically, credibly, and ethically? Or has the author cherry-picked or misrepresented sources or ideas? Does the author rely heavily on emotional appeal?

Critical thinking lies at the heart of evaluating sources. You want to be rigorous in your selection of evidence, because once you use it in your paper, it will either bolster your own credibility or undermine it.


  1. Cover images from journals are used to illustrate difference between popular and scholarly journals, and are for noncommercial, educational use only.
  2. Government of Canada, Statistics Canada [online]. Available: http://www.statcan.gc.ca/eng/start
  3. “What is the source of the H.G. Wells quote, ‘Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write/”? Quora n.d.[Online]. Available: https://www.quora.com/What-is-the-source-of-the-H-G-Wells-quote-Statistical-thinking-will-one-day-be-as-necessary-for-efficient-citizenship-as-the-ability-to-read-and-write
  4. “Why climate deniers have no credibility — in one pie chart,” DeSmog Blog [Online]. Available: https://www.desmogblog.com/2012/11/15/why-climate-deniers-have-no-credibility-science-one-pie-chart

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Technical Writing Essentials (Expanded 2nd edition) Copyright © 2026 by Suzan Last is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.