Research Tips

Presenting research at a conference is a major career highlight. Choosing the right conference is crucial, as attending involves significant expenses—travel, fees, lodging—and a large time commitment. Conferences last 3–7 days, and preparing abstracts and presentations adds even more time, making careful selection essential.

A predatory journal, a term coined by Jeffrey Beall, describes publishers prioritizing profit over ethics. These journals scam researchers, often in economically vulnerable regions, while posing as legitimate publishers. They exploit unsuspecting academics, undermining research integrity and the scholarly publishing system.

Have you ever revisited your raw data months later and struggled to understand your analysis? While researchers are often reminded to keep lab notebooks during experiments, maintaining a detailed log of data processing and statistical analysis is equally important—but less commonly practiced.

After months of hard work, your research article is ready for submission. Before hitting “submit,” it’s wise to double-check that you’ve met all the journal’s requirements and included all necessary information to ensure a smooth review process and avoid delays.

Housing is an unavoidable expense. Experts recommend spending no more than 30% of income on shelter, whether renting or owning. But is this realistic for Canadians? In this post, we use R to analyze current affordability and make predictions about future housing costs.

Researchers face immense pressure to publish, as career advancement—and even employability—depends on it. This challenge is often called “Publish or Perish.” One effective strategy for early publications is converting your PhD thesis into journal articles, allowing you to disseminate your work and build your academic profile.

In previous posts, we explored the advantages of R and solved a brain teaser using it. R is also a powerful tool for predictive modeling, which uses data and statistics to forecast outcomes. Here, we demonstrate its use by predicting the fate of passengers on the Titanic.

Previously, we discussed why R is an excellent tool for simplifying data and statistical analysis. Though it has a steep learning curve, the benefits outweigh the initial challenges. In this post, we demonstrate R by solving a classic brain teaser: the Monty Hall Problem.

There are so many statistical software packages that it is hard to choose. Should you use SAS, SPSS, Stata, Statistica, SigmaPlot, R, or even Excel for your data and statistical analysis?

Reference management software simplifies research publication by tracking citations, maintaining correct order, and ensuring your reference list matches only the sources cited. Tools like EndNote and Mendeley automate these time-consuming tasks, helping researchers manage references efficiently and focus more on writing and analysis rather than formatting.