Statistical modeling fills the gap when you can’t possibly sample every member of a population. In this post, you’ll see the most common type of models at work, with published examples.
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Are you a frequentist or a Bayesian? Do you know the difference? Do you want to reinterpret your data? Here’s an accessible guide to this ongoing statistical debate.
Amazingly, many researchers have never considered writing a review. Perhaps because it seems like such a big task. We’ve developed a 4-step method to give you and your colleagues a roadmap to quick publication and impact that extends into the future.
Writing a scientific literature review paper can establish your authority in your field while enhancing your own knowledge. These tips will get you going on your own review article.
From brainstorming to publishing, software can remove all the messy analog processes of research coordination. Cloud-based packages now let you smoothly work with your colleagues across physical and time differences. Here we offer suberb recommendations.
The forest plot is a figure that appears in the Results section of a systematic literature review report. It is a graphic representation of the findings of multiple studies that investigated the same scientific question and measured the same outcome.
Graphical abstracts are a concise, visual way to take advantage of the expanding role of online publications for scientific journals. Here’s what they involve and how you can get help creating yours.
Performing and publishing an amazing SLR can boost your career. Terrific! But how do you get started? The P.I.E.C.E.S. method will get things in good order. Read how to use it.
The evidence period is a clear, visual way to identify the strongest forms of evidence. Understand the importance and use of each of its 7 steps, bottom to up.
Been asked to perform peer review for a journal? Turn it into a career opportunity! Let’s find out why you should be a peer reviewer and why doing peer reviews is great for your career.
The flow diagram (also called flowchart or flow chart) is typically the first figure in the results section of your systematic review. It’s a logical and helpful guide for the reader. Our expert walks you through how to write one.
Bias is a systematic error that can lead to the wrong outcomes and conclusions. These errors can be mistakes in the design, conduct, or analysis of the study. Risk of bias is the risk of these errors occurring. Learn more here.
In systematic reviews, internal validity and external validity are the standard measure of quality. If you can spot the issues and bias that hurt validity, your review will be more credible, valued, and cited. Here’s what to look for.
Systematic reviews, scoping reviews, narrative reviews – what’s the difference? What’s most needed in your are of research? We dig into how to tell them apart and how to launch your own review!
Choosing the first author and corresponding author in a scientific manuscript, as well as a guarantor, is easier when you know expectations and requirements. Get the details in this article.
Qualitative research’s great value is in how to shows individual voices as scientific data. But the way those individuals are sampled can hugely affect the responses and the study quality. Learn how to choose the best sampling method.
The abstract is a short summary of your manuscript. It is extremely important that your abstract is well prepared and sufficiently represents your paper, because the abstract is often the only part of paper that will be read.
A plain language summary (PLS) is an abstract that way more people can understand. It’s a key way to communicate your science to the world. Learn how this “simple” tool can boost your impact.
Along with Excel and SPSS are many amazing software options for making figures for your STEM & HSS scientific data. This list includes many new and exciting options for making figures that demand your readers’ attention.
Neat, orderly, and well-selected tables let you show large amounts of data to communicate your research. Here you’ll learn how to make great tables.
Figures in scientific papers catch the reader’s eye. They should clearly and easily show data visually. That includes how you lay them out, scale them, and annotate them. Here’s how to make them more effective.
Collected (or have access to) lots of data? Unsure what sorts of research questions you can write up and publish? How can we turn data into articles? Read on!
Identify your keywords, make your writing more readable, and use other digital marketing techniques to help your research get found, get cited, and have greater impact.
Even native English speakers make lots of English mistakes. For ESL/EFL speakers, it’s even harder to get it right. But in science you MUST use precise, correct English. Do you know your 3 magical Cs? Find out here.
Bet you didn’t think Leonardo DiCaprio could teach us a lesson about scientific communication. He does, and quite a bit more in this popular movie.
R is a free software environment that’s been around since the mid-1990s. But it remains a statistical powerhouse. Many researchers and students alike prefer it to popular commercial packages. If you like control, you also might convert to R.
Peer review is quality control for science, but it has its limits. Verifying data, declaring COIs, and being honest are among them. Here’s what you can expect from your peer reviewers and what you cannot reasonably expect.
Writing about your study’s limitations and failures won’t decrease your impact. It’ll actually increase your impact and validate your work. Here’s how to write them the right way.
How much do you love writing your references list? Probably about as much as you love a trip to the dentist. But there are actually ways to make citing references a breeze. Read this article to learn how.
You know what you want to write about, but where to start? Creating an outline can give you structure and get you motivated to write. Here’s what to do.