Designing a Scientific Investigation
Learning Objectives
- Follow the complete sequence of a scientific investigation:
- Aim/Problem
- Materials & Equipment
- Method/Procedure
- Results (including Data)
- Conclusions
- Define, list, and explain each step in the scientific method
- Apply the scientific method to real or hypothetical experiments
Review of Physical Changes (Prior Knowledge Connection)
- Melting – solid → liquid (gain of heat)
- Condensation – gas → liquid (loss of heat)
- Sublimation – solid → gas (gain of heat, skips liquid)
- Freezing – liquid → solid (loss of heat)
- Evaporation – liquid → gas (gain of heat)
- Deposition – gas → solid (loss of heat, skips liquid)
- Essential reflection questions:
- Which change is most common in everyday life?
- Which ones involve gaining vs. losing heat energy?
Unlocking Content Vocabulary
- Investigation – systematic search for answers
- Problem – scientifically testable question
- Equipment – tools & supplies required
- Procedure – ordered, repeatable steps
- Data / Results – collected observations & measurements
- Conclusion – evidence-based explanation answering the problem
Scientific Investigation – Big Picture
- A logical, step-by-step approach scientists use to explain phenomena and answer questions about the natural world.
- Ensures repeatability, transparency, and evidence-based reasoning.
Step 1 – Aim / Problem
- Heart of the investigation.
- Qualities of a strong aim:
- Clear & specific
- Answerable via experiment
- Measurable in some form (qualitative or quantitative)
- Example aims:
- “Does the type of liquid affect how quickly an ice cube melts?”
- “Does the amount of light affect bean-plant growth?”
Step 2 – Materials & Equipment
- Complete list of everything needed.
- Considerations:
- Adequacy – nothing missing
- Safety – non-hazardous choices when possible
- Availability – realistically obtainable items
- Example list (ice-cube experiment):
- Ice cubes, 3 cups, water, soda, saltwater, timer
Step 3 – Method / Procedure
- Detailed recipe that anyone can follow and replicate.
- Must be:
- Clear & concise
- Sequential (logical order)
- Repeatable (another person should obtain comparable results)
- Example skeleton (paper-towel absorbency):
- Cut equal-sized paper-towel squares.
- Pour 50mL water into a graduated cylinder.
- Dip square into water for 5 s; let excess drip 10 s.
- Record remaining water volume; calculate absorbed amount.
- Repeat for each brand n=3.
Step 4 – Data & Results
- Raw information gathered:
- Observations (qualitative)
- Measurements (quantitative)
- Presentation formats:
- Tables, charts, graphs for trend visualization
- Sample data set (ice-cube experiment):
- Water: (10 min)
- Soda: (12 min)
- Saltwater: (8 min)
Step 5 – Conclusion
- Interpret results; directly address original aim.
- Key attributes:
- Evidence-based (no speculation beyond data)
- Explanatory (why the result occurred)
- Declarative (supports or rejects hypothesis)
- Sample conclusion: “Saltwater melted ice fastest, likely due to lower freezing point caused by dissolved ions.”
Hypothesis – Educated Guess
- Definition: Proposed explanation or prediction based on limited evidence that can be tested.
- Writing tips:
- Single, clear sentence.
- Must be testable.
- Use “If … then …” structure.
- Example bank:
- “If plants receive more sunlight, then they will grow taller.”
- “If plants are watered more frequently, then soil moisture will be higher.”
- “If different fertilizers are used, then tomato yield will vary.”
Variables
- Independent Variable (IV) – factor you intentionally change.
- Dependent Variable (DV) – factor you measure; responds to IV.
- Controlled Variables (CVs) – kept constant to ensure a fair test.
- Visual aid (plant example):
- IV: hours of sunlight → A =2 h, B =4 h, C =6 h
- DV: plant height (cm)
- CVs: species, pot size, soil, water volume
Worked & Practice Examples (Quick Reference)
- Ice-cube liquids
- IV: liquid type
- DV: melt time
- CVs: ice size, cup size, room temp
- Bean-plant light
- IV: light amount
- DV: height after 15 days
- CVs: water 100mL/2 days, pot, soil
- Radish-soil types
- IV: soil type (sandy, clay, loam)
- DV: height after 2 weeks
- Screen-time vs. sleep
- Hypothesis: “More screen time → poorer sleep quality.”
- Ice-melting vs. room temp
- Hypothesis: “Higher temperature → faster melting.”
- Paper-towel absorbency (student design exercise)
- Students to define IV (brand), DV (mL absorbed), CVs (square size, dip time, water temp)
Assessment-Style Multiple-Choice Review (with correct answers)
- Purpose of defining the aim/problem: To identify the research question
- Importance of listing materials & equipment: To organize materials and ensure the experiment can be replicated exactly (best overall answer C)
- Purpose of the method/procedure: To outline clear steps of conducting the experiment
- Typical data presentation: Tables, graphs, charts
- Main purpose of the conclusion: Determine whether the hypothesis was supported by the results
Practical, Ethical & Philosophical Considerations
- Safety: choice of non-hazardous materials; PPE when required.
- Fair testing: control variables diligently; reduces bias.
- Reproducibility & transparency: detailed procedure + full material list.
- Environmental impact: minimal waste, proper disposal.
- Societal relevance: experiments (e.g., fertilizer efficacy) tie directly to agriculture & sustainability.
Key Takeaways
- Scientific investigations rely on a rigorous structure to yield trustworthy, reproducible knowledge.
- Clear hypotheses guide data collection; variables isolate cause-effect relationships.
- Robust conclusions emerge only when data are properly gathered, organized, and interpreted.
- Mastery of these steps equips learners to scrutinize information critically and design their own inquiries.