Introduction to the Process of Science: Study Guide
Fundamentals of the Scientific Method
- Standard Process: Follows a specific order: observation, question, scientific hypothesis, experiments, data collection, and conclusions.
- Hypothesis Criteria: Must be both testable (can be supported or rejected by data) and falsifiable (can be proven wrong).
- Hypothesis vs. Theory: In science, a scientific theory is an explanation supported by a large body of evidence, whereas the everyday use of "theory" implies a mere hunch or guess.
- Peer Review: A rigorous process where external experts evaluate a study's design and results before it is published in a journal to ensure validity.
Experimental Design and Variables
- Controlled Experiment: Includes at least two groups to isolate the effects of a single factor.
- Experimental Group: The group receiving the specific treatment or intervention under investigation.
- Control Group: The group receiving a placebo (an inactive treatment like colored water) to provide a baseline for comparison.
- Independent Variable: The factor being deliberately changed or manipulated by the researcher (e.g., the amount of caffeine or radiation).
- Dependent Variable: The measured result or outcome of the experiment (e.g., test scores or cancer incidence).
- Randomization: Participants should be assigned to groups randomly to ensure that both groups are as similar as possible, such as in age, health status, or smoking habits.
The Importance of Sample Size and Statistics
- Sample Size: The number of individuals or participants in a study. Larger sample sizes increase the statistical significance of results and the confidence that findings are not due to chance.
- Case Example (Rats): The National Toxicology Program used a sample of 1,260 rats to study cell phone radiation.
- Small Samples: Studies with very small samples (e.g., n=5 or n=10) yield weak evidence that should be viewed with skepticism.
- Epidemiology: The study of disease patterns in human populations, often utilizing case-control studies or randomized clinical trials.
- Correlation vs. Causation: A correlation (a consistent relationship between two variables) does not prove that one variable causes the other.
- Media Reports: Media headlines often simplify or exaggerate findings. Skeptical consumers should look for details on sample size, study design, and whether the research was peer-reviewed.
- Recall Bias: A limitation in epidemiological studies where participants may not accurately remember past behaviors (e.g., past cell phone usage).
Questions & Discussion
- Experimental Assignment: In a study on Red Bull and memory, participants should be assigned to groups completely randomly to ensure validity.
- Placebo Awareness: The control group should not know they are receiving a placebo to avoid the placebo effect.
- Review of Study Reliability: If a news report claims cereal improves heart health based on a study of only 5 individuals, the conclusion is unreliable due to the small sample size.
- Sleep and Weight Loss Case: A study by Nedeltcheva et al. published in the Annals of Internal Medicine involved 10 overweight individuals studied for 2 weeks. The researchers found that while total weight loss was similar between groups getting 5.5 and 8.5 hours of sleep, those with less sleep lost more lean muscle and less body fat.