Contributors

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

Confirmation Bias

From Avoid Misrepresenting Data

Confirmation bias negatively affects the accuracy of your analysis. Learn how to detect Confirmation Bias and how to avoid this cognitive bias.

Define Experiment Parameters

From Avoid Misrepresenting Data

Defining Experiment Parameters improves analysis and increases trust in results that are shared in an organization.

Overall vs Groups

From Avoid Misrepresenting Data

Overall 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 Data

Predicting Outcomes prevents cognitive biases from affecting how your interpretation of the results of an experiment. Learn more.

Relative vs Absolute Change

From Avoid Misrepresenting Data

Relative and Absolute changes can bias your interpretation of data you are analyzing. Learn to interpret them correctly.

Review Outcomes

From Avoid Misrepresenting Data

Review Outcomes of Feature Releases to evaluate their impact and to create institutional knowledge. Learn how to interpret results accurately.

Selection Bias

From Avoid Misrepresenting Data

Selection bias negatively affects your analysis. Learn how to detect Selection Bias and how to avoid this cognitive bias.

Statistic vs Distribution

From Avoid Misrepresenting Data

Distributions 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 Data

Survivorship bias negatively affects your analysis. Learn how to detect Survivorship Bias and how to avoid this cognitive bias.

Trends

From Avoid Misrepresenting Data

Trend in data can be misleading depending on what time frame you are looking at it. Learn how to accurately interpret trends.