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ACT Science Flashcards: Experimental Design

Study Experimental Design in ACT Science with focused flashcards that help you recognize the idea, recall the key rule, and apply it in practice-style prompts.

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What this deck covers

This deck focuses on Experimental Design, giving you a quick way to review the definitions, rules, and examples that matter most for ACT Science.

How to use these flashcards

Work through these flashcards in short sessions. Try to answer each prompt before flipping the card, then revisit any cards you miss until the explanation feels automatic.

ACT Science Flashcards: Experimental Design

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QUESTION

Identify the design flaw: different thermometers are used for each treatment group.

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ANSWER

Instrument difference introduces systematic bias. Different instruments create systematic measurement bias.

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All flashcards

Flashcard 1: Identify the design flaw: different thermometers are used for each treatment group.

Answer: Instrument difference introduces systematic bias. Different instruments create systematic measurement bias.

Flashcard 2: Which option best reduces experimenter bias: double-blind procedure or larger beakers?

Answer: Double-blind procedure. Prevents conscious or unconscious researcher bias.

Flashcard 3: Identify the best reason to randomize trial order when testing multiple temperatures.

Answer: To reduce order effects and time-related confounding. Random order prevents time-dependent confounding.

Flashcard 4: Which option best matches a negative control: a condition expected to produce no effect?

Answer: A condition expected to produce no response. Confirms no false positive responses occur.

Flashcard 5: What is a controlled variable in an experiment?

Answer: A factor kept constant across all experimental conditions. These prevent confounding effects from other variables.

Flashcard 6: How does blinding reduce bias in an experiment?

Answer: Prevents expectations from influencing results. Eliminates unconscious influence on data collection.

Flashcard 7: What is meant by 'external validity' in experiments?

Answer: The extent to which results generalize to other contexts. High external validity means results apply beyond the specific study conditions.

Flashcard 8: Identify the dependent variable: Testing fertilizer's effect on crop yield.

Answer: Crop yield. Crop yield is the outcome measured to assess fertilizer effectiveness.

Flashcard 9: Which aspect of an experiment is manipulated by the researcher?

Answer: Independent variable. The researcher controls this to test its effects.

Flashcard 10: What is an independent variable in an experiment?

Answer: A variable that is manipulated to observe its effect. This is the cause or input that researchers control.

Flashcard 11: What is a dependent variable in an experiment?

Answer: A variable that is measured and affected in the experiment. This is the outcome or response being studied.

Flashcard 12: Define 'randomization' in the context of experimental design.

Answer: Assigning subjects to groups by chance to reduce bias. Ensures each participant has equal chance of any group.

Flashcard 13: What is meant by 'double-blind' in experiments?

Answer: Neither participants nor researchers know group assignments. Prevents bias from expectations of both groups.

Flashcard 14: Identify the role of a placebo in an experiment.

Answer: A harmless substance given to control group to mimic treatment. Controls for psychological effects of receiving treatment.

Flashcard 15: What does 'replication' mean in scientific research?

Answer: Repeating an experiment to verify results. Confirms findings are consistent and reliable.

Flashcard 16: What is a 'confounding variable' in an experiment?

Answer: An extraneous variable that affects the outcome, obscuring results. Makes it impossible to determine true cause of results.

Flashcard 17: What is the effect of increasing sample size in an experiment?

Answer: Increases reliability and reduces sampling error. Larger samples better represent the target population.

Flashcard 18: What is the purpose of random sampling in experiments?

Answer: To ensure that each member of the population has an equal chance of selection. Prevents selection bias in choosing participants.

Flashcard 19: Identify a key feature of quantitative data in experiments.

Answer: Numerical and can be measured. Allows statistical analysis and precise comparisons.

Flashcard 20: What type of graph is best for showing changes over time?

Answer: Line graph. Shows trends and patterns in continuous data.

Flashcard 21: What kind of variable is manipulated to observe effects on the dependent variable?

Answer: Independent variable. This is what the researcher changes or controls.

Flashcard 22: Identify the variable measured in an experiment to assess the effect of manipulation.

Answer: Dependent variable. This shows the effect of the manipulation.

Flashcard 23: What does it mean if an experiment is 'controlled'?

Answer: Variables are regulated to prevent confounding effects. Eliminates alternative explanations for results.

Flashcard 24: What is the importance of an operational definition in research?

Answer: Defines how variables are measured and observed. Ensures consistent measurement across all studies.

Flashcard 25: Which variable is the outcome or response variable in an experiment?

Answer: Dependent variable. This measures what happens due to treatment.

Flashcard 26: Identify the group that receives the treatment in an experiment.

Answer: Experimental group. This group gets the treatment being tested.

Flashcard 27: Which method ensures that experimental results are not biased?

Answer: Randomization. Random assignment eliminates systematic differences.

Flashcard 28: What strategy is used to minimize the placebo effect in an experiment?

Answer: Double-blind procedure. Neither group knows treatment status to prevent bias.

Flashcard 29: What is a 'single-blind' experiment?

Answer: Participants do not know their group assignment. Only participants are unaware of their group.

Flashcard 30: Why is it important to have a large sample size in an experiment?

Answer: To increase the generalizability of results. Results apply more broadly with diverse samples.