Twange Kasoma
Associate Professor at Radford University,
Reviewer at Data School
Twange Kasoma is an associate professor in the School of Communication at Radford University in Virginia. She teaches a variety of journalism courses. One such course that she is especially enthusiastic about is a specialized data journalism class, which focuses on how to effectively use data and infographics in news reporting. Aside from spending a decade in academia, she has also practiced as a journalist in her native country – Zambia, Ghana, and the U.S.
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Author of 0 chapters
Reviewer of 10 chapters
Trends
From Avoid Misrepresenting DataTrend in data can be misleading depending on what time frame you are looking at it. Learn how to accurately interpret trends.
Define Experiment Parameters
From Avoid Misrepresenting DataDefining Experiment Parameters improves analysis and increases trust in results that are shared in an organization.
Overall vs Groups
From Avoid Misrepresenting DataOverall statistics in data can be misleading because there may be distinct groups within the data that have very different statistics. Learn to avoid this analysis mistake.
Predicting Outcomes
From Avoid Misrepresenting DataPredicting Outcomes prevents cognitive biases from affecting how your interpretation of the results of an experiment. Learn more.
Relative vs Absolute Change
From Avoid Misrepresenting DataRelative and Absolute changes can bias your interpretation of data you are analyzing. Learn to interpret them correctly.
Review Outcomes
From Avoid Misrepresenting DataReview Outcomes of Feature Releases to evaluate their impact and to create institutional knowledge. Learn how to interpret results accurately.
Selection Bias
From Avoid Misrepresenting DataSelection bias negatively affects your analysis. Learn how to detect Selection Bias and how to avoid this cognitive bias.
Statistic vs Distribution
From Avoid Misrepresenting DataDistributions provide much more nuance to the data than a statistic does. Learn how to query to get distributions and then interpret them.
Survivorship Bias
From Avoid Misrepresenting DataSurvivorship bias negatively affects your analysis. Learn how to detect Survivorship Bias and how to avoid this cognitive bias.
Confirmation Bias
From Avoid Misrepresenting DataConfirmation bias negatively affects the accuracy of your analysis. Learn how to detect Confirmation Bias and how to avoid this cognitive bias.
