Synopsis of Social media discussions
Participants recognize the article's emphasis on the importance of interpreting confidence intervals and p-values, with examples like discussions on how confidence intervals provide insights into effect size, and expressions such as 'crucial for accurate interpretation' indicating meaningful engagement. The tone balances acknowledgment of the publication's value with curiosity about its implications for research practice.
Agreement
Moderate agreementMost discussions acknowledge the importance of correctly interpreting confidence intervals and p-values in scientific research.
Interest
Moderate level of interestPosts display moderate curiosity, with some comments highlighting the relevance of statistical measures in research evaluation.
Engagement
Moderate level of engagementComments involve thoughtful reflection on the article, with some users questioning or elaborating on methodological points.
Impact
Moderate level of impactThe overall tone suggests the article influences thinking about research rigor, although it doesn't appear to provoke major shifts in opinions.
Social Mentions
YouTube
2 Videos
3 Posts
1 Posts
News
2 Articles
Metrics
Video Views
33,623
Total Likes
189
Extended Reach
34,393
Social Features
8
Timeline: Posts about article
Top Social Media Posts
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Confidence Interval or P-Value?: Part 4 of a Series on Evaluation of Scientific Publications via Instapaper https://t.co/FsQWPtnXhy
view full post
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Confidence Interval or P-Value?: Part 4 of a Series on Evaluation of Scientific Publications via Instapaper https://t.co/FsQWPtnXhy
view full postApril 2, 2019
Abstract Synopsis
- Confidence intervals and p-values are essential tools for evaluating scientific research, helping to interpret the significance and reliability of study results.
- P-values determine whether to reject a null hypothesis, indicating if findings are statistically noteworthy, especially in exploratory studies.
- Confidence intervals offer a range for the true effect size, providing insights into the effect's direction, magnitude, and clinical relevance, making it helpful to report both measures together.]
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