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, 33 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):
    1. Cut equal-sized paper-towel squares.
    2. Pour 50mL50\,\text{mL} water into a graduated cylinder.
    3. Dip square into water for 55 s; let excess drip 1010 s.
    4. Record remaining water volume; calculate absorbed amount.
    5. Repeat for each brand n=3n=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)(10\ \text{min})
    • Soda: (12 min)(12\ \text{min})
    • Saltwater: (8 min)(8\ \text{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:
    1. Single, clear sentence.
    2. Must be testable.
    3. 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 \rightarrow A =2=2 h, B =4=4 h, C =6=6 h
    • DV: plant height (cm)
    • CVs: species, pot size, soil, water volume

Worked & Practice Examples (Quick Reference)

  1. Ice-cube liquids
    • IV: liquid type
    • DV: melt time
    • CVs: ice size, cup size, room temp
  2. Bean-plant light
    • IV: light amount
    • DV: height after 1515 days
    • CVs: water 100mL100\,\text{mL}/2 days, pot, soil
  3. Radish-soil types
    • IV: soil type (sandy, clay, loam)
    • DV: height after 22 weeks
  4. Screen-time vs. sleep
    • Hypothesis: “More screen time → poorer sleep quality.”
  5. Ice-melting vs. room temp
    • Hypothesis: “Higher temperature → faster melting.”
  6. 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)

  1. Purpose of defining the aim/problem: To identify the research question
  2. Importance of listing materials & equipment: To organize materials and ensure the experiment can be replicated exactly (best overall answer C)
  3. Purpose of the method/procedure: To outline clear steps of conducting the experiment
  4. Typical data presentation: Tables, graphs, charts
  5. 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.