reproducibility | Scientifically Sound

Tag Archives: reproducibility

Reproducible research practices in qualitative research – Part 2

Posted on October 22, 2019 by Joanna Diong Leave a comment

In the previous post we learned that qualitative studies can be reported in ways to ensure research design, measurement, data analysis and data itself are made transparent. Economics researchers Aguinis and Solarino conducted a literature search and developed 12 criteria for research transparency, covering research design, measurement, data analysis and data disclosure. They emphasize that transparency exists on a continuum.

News & research

Double dipping in science

Posted on October 8, 2019 by Martin Héroux Leave a comment

For better or worse, our mind plays tricks on us: we are prone to cognitive biases and logical fallacies. These biases don’t impact how do the laundry or prepare supper, although I may convince myself that I always intended to make a galette despite having the cookbook open at the soufflé page. Unfortunately, these same biases and fallacies can wreck

News & research

Reproducible research practices in qualitative research – Part 1

Posted on September 24, 2019 by Joanna Diong Leave a comment

Recently, I reviewed a number of research proposals in which some applied qualitative or mixed (i.e. quantitative and qualitative) methods to answer health questions. I had my “reviewer hat” on as I assessed the proposals for research quality. After 3-4 proposals, it occurred to me that while assessing quantitative research proposals for research quality and reproducible practices was straightforward, doing

Research tools and methods

Preparing computer code for peer-review: Nature journal guidelines

Posted on September 10, 2019 by Joanna Diong Leave a comment

Computer code is used to analyse data in research studies across many fields including epidemiology, biomedical science, computational biology and physics. Many findings now depend on such analyses. What role do journals play in ensuring transparency and reproducibility of computer code used to generate research findings? How might this fit in with our efforts, as scientists, to reduce errors in

News & research

Why we need to report more than “Data were analysed by t-tests or ANOVA”

Posted on July 30, 2019 by Joanna Diong Leave a comment

T-tests and analysis of variance (ANOVA) are common statistical tests in physiology and biomedical science. While the SAMPL guidelines for reporting statistical analyses and methods in published literature state authors should “describe statistical methods with enough detail to enable a knowledgeable reader with access to the original data to verify the reported results”, such recommendations are rarely implemented. Simply stating

News & research

Python virtual environments for scientists with conda part 4

Posted on July 23, 2019 by Martin Héroux Leave a comment

In our previous post we learned how to verify what Python virtual environments were installed on our machine and what Python packages they contained. We also learned how to delete unwanted environments. In this post we are going to learn how to share our virtual environment with others. This is incredibly useful in this day and age of research reproducibility.

« Older Entries

M	T	W	T	F	S	S
« Oct
					1	2
3	4	5	6	7	8	9
10	11	12	13	14	15	16
17	18	19	20	21	22	23
24	25	26	27	28	29