Aubrey conducts an investigation on the effects of water amounts for seed sprouting. She knows that replication and replicable results are important for the quantity of the investigation. How can Aubrey determine if her results are replicable

1 answer

To determine if her results are replicable, Aubrey can follow several key steps in her investigation on the effects of water amounts for seed sprouting:

  1. Use a Controlled Experimental Design: Ensure that all other variables (e.g., temperature, light, type of seeds, soil type) are kept constant while only altering the amount of water given to the seeds. This helps isolate the effect of water on seed sprouting.

  2. Increase Sample Size: Conduct the experiment with a larger number of seeds in each water amount group. A larger sample size increases the reliability of the results and helps account for any random variations.

  3. Replicate Trials: Perform multiple trials of the experiment for each amount of water. This means measuring seed sprouting under the same conditions more than once to see if the results are consistent.

  4. Document Conditions and Procedures: Thoroughly document all methods, measurements, and environmental conditions during the experiment. This record will enable others to replicate the study precisely to verify results.

  5. Statistical Analysis: After obtaining the data, apply statistical analysis to determine if differences in seed sprouting across water amounts are significant. This can help assess whether the results are due to water amounts or random chance.

  6. Peer Review and External Replication: Share the methodology and results with peers for feedback. Ideally, have other researchers or students replicate the experiment independently to see if they obtain similar results.

  7. Variation in Environmental Conditions: If possible, conduct the experiment under different environmental conditions (e.g., different temperatures or light levels) to see if the results hold true across various scenarios.

  8. Establish a Consistent Data Collection Method: Use the same methods for measuring the outcome (e.g., the number of seeds sprouted, the rate of growth) each time to maintain consistency.

By following these steps, Aubrey can assess the reliability and replicability of her results regarding the effects of water on seed sprouting.