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.
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.
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.
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.
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.
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.
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.
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.
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.