An Operational Definition of a Statistically Meaningful Trend
2011
Defining Statistically Meaningful Trends
Sample size: 10
publication
Evidence: moderate
Author Information
Author(s): Bryhn Andreas C., Dimberg Peter H.
Primary Institution: Uppsala University
Hypothesis
Can we establish a stricter quality criterion for time trends than high statistical significance?
Conclusion
The study introduces a method for determining statistically meaningful trends, finding that five out of ten analyzed time series displayed such trends.
Supporting Evidence
- Five out of ten time series analyzed showed statistically meaningful trends.
- The method developed can be used by researchers with basic statistics skills.
- Statistical meaningfulness is defined as r2≥0.65 and p≤0.05.
Takeaway
This study helps scientists figure out if trends in their data are really important or just random noise.
Methodology
The study used linear regression analysis on time series data, calculating r2 and p values to assess statistical meaningfulness.
Limitations
The method may require programming skills or significant time for manual analysis of time series.
Statistical Information
P-Value
<0.001
Statistical Significance
p≤0.05
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website