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This deck focuses on Experimental Design, giving you a quick way to review the definitions, rules, and examples that matter most for ACT Science.
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 is a positive control in experimental design?
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A condition known to produce an effect to verify the setup works. Verifies experimental system is functioning properly.
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This deck focuses on Experimental Design, giving you a quick way to review the definitions, rules, and examples that matter most for ACT Science.
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.
Answer: A condition known to produce an effect to verify the setup works. Verifies experimental system is functioning properly.
Answer: Manipulating light intensity. Manipulation allows testing cause-effect relationships.
Answer: The number of subjects included in a study. Larger samples generally provide more reliable and generalizable results.
Answer: To provide a baseline for comparison with the experimental group. Shows what happens without treatment for fair comparison.
Answer: Reduces variability by using the same subjects. Each person serves as their own control.
Answer: To eliminate bias by mimicking the experimental treatment. It prevents participants from knowing if they received real treatment.
Answer: A numerical measurement with units. Provides precise, measurable data for analysis.
Answer: Experimental group. This group gets the treatment being tested.
Answer: Double-blind procedure. Neither group knows treatment status to prevent bias.
Answer: A variable definition stated in measurable, specific procedures. Ensures consistent, objective measurement methods.
Answer: Neither subjects nor evaluators know group assignments. Eliminates bias from both sides of study.
Answer: A clear, precise description of how variables are measured. This ensures researchers measure variables consistently and objectively.
Answer: To provide a baseline for comparison to the treatment condition. Shows what happens without the treatment.
Answer: A consistent bias that shifts measurements in one direction. Creates predictable deviation from true values.
Answer: Numerical and can be measured. Allows statistical analysis and precise comparisons.
Answer: A condition expected to produce no response. Confirms no false positive responses occur.
Answer: To prevent bias from influencing results. When participants don't know their group, expectations can't skew results.
Answer: Use of double-blind procedures. When neither group knows treatment status, expectations can't influence outcomes.
Answer: The probability of rejecting a true null hypothesis. It sets the threshold for determining statistical significance.
Answer: Keep temperature constant. Control eliminates temperature as confounding variable.
Answer: The sugar pill (placebo) group. No active treatment provides baseline comparison.
Answer: Different subjects are used in each condition. Separate groups reduce individual differences effect.
Answer: Exercise. Exercise is the factor being manipulated to see its impact.
Answer: Dependent variable. This measures what happens due to treatment.
Answer: Perform more trials. More trials average out random errors.
Answer: A consistent bias that shifts measurements in one direction. Creates predictable deviation from true values.
Answer: Diet change. Uncontrolled variable that affects the outcome.
Answer: To define it in practical, measurable terms. Makes abstract concepts concrete and testable.
Answer: A variable definition stated in measurable, specific procedures. Ensures consistent, objective measurement methods.
Answer: Consistent, predictable error that affects measurements. Unlike random error, systematic error creates consistent bias in one direction.
Answer: To ensure that each member of the population has an equal chance of selection. Prevents selection bias in choosing participants.
Answer: The number of subjects included in a study. Larger samples generally provide more reliable and generalizable results.
Answer: A condition expected to produce no response. Confirms no false positive responses occur.
Answer: A condition known to produce an effect to verify the setup works. Verifies experimental system is functioning properly.
Answer: Hold one variable constant while varying the other. Isolates effects of individual variables.
Answer: Error that varies unpredictably between measurements. Random error creates variability but doesn't consistently bias results.
Answer: Daily fertilizer volume. The researcher controls fertilizer amount.
Answer: Consistent, predictable error that affects measurements. Unlike random error, systematic error creates consistent bias in one direction.
Answer: Numerical and can be measured. Allows statistical analysis and precise comparisons.
Answer: To test the feasibility and refine the methodology. Small-scale trial identifies potential problems early.
Answer: Qualitative is descriptive; quantitative is numerical. Qualitative uses words/categories while quantitative uses numbers/measurements.
Answer: Allows examination of interactions between variables. Tests multiple variables simultaneously for efficiency.
Answer: Unpredictable variation that causes scatter in repeated measurements. Causes data points to spread around true value.
Answer: Qualitative is descriptive; quantitative is numerical. Qualitative uses words/categories while quantitative uses numbers/measurements.
Answer: To establish cause-and-effect relationships. Proves one variable directly causes changes in another.
Answer: A small-scale preliminary study to evaluate feasibility. It tests procedures and identifies potential problems before the full study.
Answer: Rate of photosynthesis. This is the measured response to different light conditions.
Answer: To determine the significance of results. Determines if results are due to chance or treatment.
Answer: To increase the generalizability of results. Results apply more broadly with diverse samples.
Answer: Repeating an experiment to verify results. Confirms findings are consistent and reliable.
Answer: To ensure every individual has an equal chance of selection. This prevents sampling bias and increases representativeness.
Answer: Randomization. Random assignment eliminates systematic differences.
Answer: To eliminate bias by mimicking the experimental treatment. It prevents participants from knowing if they received real treatment.
Answer: Perform more trials. More trials average out random errors.
Answer: The extent to which results generalize to other contexts. High external validity means results apply beyond the specific study conditions.
Answer: Stress levels. Stress could independently affect memory, creating alternative explanations.
Answer: Increases reliability and reduces sampling error. Larger samples better represent the target population.
Answer: Randomization. Random assignment eliminates systematic differences.
Answer: Changes in outcomes due to participants' expectations. Believing you received treatment can cause real physiological changes.
Answer: A statement that there is no effect or difference. It assumes no treatment effect exists until evidence proves otherwise.
Answer: Independent variable. The researcher controls this to test its effects.
Answer: Experimental group. This group gets the treatment being tested.
Answer: Placebo group. The placebo group provides the comparison baseline for the medication group.
Answer: The group receiving the treatment under investigation. This group receives the actual treatment being tested for effectiveness.
Answer: A variable that influences both independent and dependent variables. It creates alternative explanations for observed results.
Answer: Subjects do not know which treatment group they are in. Prevents placebo effects from biasing results.
Answer: Independent variable. The researcher controls this to test its effects.
Answer: Defines how variables are measured and observed. Ensures consistent measurement across all studies.
Answer: Selecting subjects by chance; it improves population representativeness. Makes results generalizable to the population.
Answer: Randomly allocating participants to different groups. This ensures groups are equivalent before treatment begins.
Answer: To confirm the reliability and validity of results. Repeated studies help establish whether findings are consistent and trustworthy.
Answer: An inert treatment used to mimic the experimental treatment. Controls for psychological effects of treatment.
Answer: A factor kept constant across all experimental conditions. These prevent confounding effects from other variables.
Answer: Dependent variable. This measures what happens due to treatment.
Answer: Quantitative. Mass measurement provides numerical data.
Answer: Dependent variable. This shows the effect of the manipulation.
Answer: A factor that changes with the independent variable and affects outcomes. Makes it hard to determine true cause of results.
Answer: Confounding variable. These create alternative explanations for results.
Answer: Independent variable. This is what the researcher changes or controls.
Answer: Placebo. Placebo controls for psychological effects.
Answer: An extraneous variable that affects the outcome, obscuring results. Makes it impossible to determine true cause of results.
Answer: Variables are regulated to prevent confounding effects. Eliminates alternative explanations for results.
Answer: Number of subjects/observations; larger sizes reduce random error. More data points increase statistical reliability.
Answer: Allows examination of interactions between variables. Tests multiple variables simultaneously for efficiency.
Answer: Correlation does not establish causation. Association alone cannot prove one causes another.
Answer: To isolate the effect of the treatment itself. Separates psychological effects from actual treatment.
Answer: To determine the significance of results. Determines if results are due to chance or treatment.
Answer: Use a more sensitive instrument. Better instruments reduce measurement uncertainty.
Answer: Group using the new teaching method. This group receives the new method being evaluated.
Answer: Assigning subjects to groups by chance to reduce bias. Ensures each participant has equal chance of any group.
Answer: Reduces variability by using the same subjects. Each person serves as their own control.
Answer: A statement that there is no effect or difference. Assumes no relationship exists between variables.
Answer: A variable that influences both independent and dependent variables. It creates alternative explanations for observed results.
Answer: A variable that is measured and affected in the experiment. This is the outcome or response being studied.
Answer: The measured outcome that responds to the independent variable. This outcome is observed to see if it changes.
Answer: Changes in outcomes due to participants' expectations. Believing you received treatment can cause real physiological changes.
Answer: Neither subjects nor evaluators know group assignments. Eliminates bias from both sides of study.
Answer: A group that receives the treatment or manipulated condition. Used to test the effect of the treatment.
Answer: Increase in height in cm over 7 days. Specific, measurable criteria define the variable.
Answer: A small-scale preliminary study to evaluate feasibility. It tests procedures and identifies potential problems before the full study.