Experimental Design - ACT Science
- Which option best supports causation: manipulating light intensity or only observing natural light levels?
- Manipulating light intensity. Manipulation allows testing cause-effect relationships.
- Define the term 'sample size' in research.
- The number of subjects included in a study. Larger samples generally provide more reliable and generalizable results.
- Identify the purpose of a control group in an experiment.
- To provide a baseline for comparison with the experimental group. Shows what happens without treatment for fair comparison.
- State the purpose of a placebo in experiments.
- To eliminate bias by mimicking the experimental treatment. It prevents participants from knowing if they received real treatment.
- Identify the group that receives the treatment in an experiment.
- Experimental group. This group gets the treatment being tested.
- What is double-blind procedure in an experiment?
- Neither subjects nor evaluators know group assignments. Eliminates bias from both sides of study.
- State one way to minimize bias in experiments.
- Use of double-blind procedures. When neither group knows treatment status, expectations can't influence outcomes.
- What is the significance level in hypothesis testing?
- The probability of rejecting a true null hypothesis. It sets the threshold for determining statistical significance.
- Which design change best controls a confounder: keep temperature constant or measure it once?
- Keep temperature constant. Control eliminates temperature as confounding variable.
- Find the independent variable: A study on exercise's effect on sleep quality.
- Exercise. Exercise is the factor being manipulated to see its impact.
- Which variable is the outcome or response variable in an experiment?
- Dependent variable. This measures what happens due to treatment.
- Which option best increases reliability: perform more trials or change the hypothesis?
- Perform more trials. More trials average out random errors.
- What is a source of systematic error in an experiment?
- A consistent bias that shifts measurements in one direction. Creates predictable deviation from true values.
- What does it mean to 'operationalize' a variable in research?
- To define it in practical, measurable terms. Makes abstract concepts concrete and testable.
- What is an operational definition in experimental design?
- A variable definition stated in measurable, specific procedures. Ensures consistent, objective measurement methods.
- Define 'systematic error' in experimental design.
- Consistent, predictable error that affects measurements. Unlike random error, systematic error creates consistent bias in one direction.
- What is the purpose of random sampling in experiments?
- To ensure that each member of the population has an equal chance of selection. Prevents selection bias in choosing participants.
- Which option best matches a negative control: a condition expected to produce no effect?
- A condition expected to produce no response. Confirms no false positive responses occur.
- What is a positive control in experimental design?
- A condition known to produce an effect to verify the setup works. Verifies experimental system is functioning properly.
- Identify the best way to test one factor at a time when studying two variables.
- Hold one variable constant while varying the other. Isolates effects of individual variables.
- Identify the independent variable: plants receive , , or mL fertilizer daily.
- Daily fertilizer volume. The researcher controls fertilizer amount.
- Identify a key feature of quantitative data in experiments.
- Numerical and can be measured. Allows statistical analysis and precise comparisons.
- What is the purpose of a pilot study?
- To test the feasibility and refine the methodology. Small-scale trial identifies potential problems early.
- What distinguishes qualitative from quantitative data?
- Qualitative is descriptive; quantitative is numerical. Qualitative uses words/categories while quantitative uses numbers/measurements.
- What is a pilot study?
- A small-scale preliminary study to evaluate feasibility. It tests procedures and identifies potential problems before the full study.
- What is meant by 'external validity' in experiments?
- The extent to which results generalize to other contexts. High external validity means results apply beyond the specific study conditions.
- Identify a potential confounding variable: Studying the effect of sleep on memory.
- Stress levels. Stress could independently affect memory, creating alternative explanations.
- What is the effect of increasing sample size in an experiment?
- Increases reliability and reduces sampling error. Larger samples better represent the target population.
- Which method ensures that experimental results are not biased?
- Randomization. Random assignment eliminates systematic differences.
- Which aspect of an experiment is manipulated by the researcher?
- Independent variable. The researcher controls this to test its effects.
- What is an experimental group?
- The group receiving the treatment under investigation. This group receives the actual treatment being tested for effectiveness.
- What is a confounding variable?
- A variable that influences both independent and dependent variables. It creates alternative explanations for observed results.
- What is the importance of an operational definition in research?
- Defines how variables are measured and observed. Ensures consistent measurement across all studies.
- What is random sampling, and what does it primarily improve?
- Selecting subjects by chance; it improves population representativeness. Makes results generalizable to the population.
- What is random assignment in experimental design?
- Randomly allocating participants to different groups. This ensures groups are equivalent before treatment begins.
- Identify the measurement type: recording mass as g.
- Quantitative. Mass measurement provides numerical data.
- Identify the variable measured in an experiment to assess the effect of manipulation.
- Dependent variable. This shows the effect of the manipulation.
- Which type of variable can potentially confound the results of an experiment?
- Confounding variable. These create alternative explanations for results.
- What kind of variable is manipulated to observe effects on the dependent variable?
- Independent variable. This is what the researcher changes or controls.
- What is a 'confounding variable' in an experiment?
- An extraneous variable that affects the outcome, obscuring results. Makes it impossible to determine true cause of results.
- What is a sample size, and why does it matter?
- Number of subjects/observations; larger sizes reduce random error. More data points increase statistical reliability.
- What is the advantage of using a factorial design in experiments?
- Allows examination of interactions between variables. Tests multiple variables simultaneously for efficiency.
- What can be concluded about causation from a correlational study?
- Correlation does not establish causation. Association alone cannot prove one causes another.
- What is the role of statistical analysis in experimental design?
- To determine the significance of results. Determines if results are due to chance or treatment.
- Identify the experimental group: Testing a new teaching method vs. traditional.
- Group using the new teaching method. This group receives the new method being evaluated.
- Identify one advantage of a repeated measures design.
- Reduces variability by using the same subjects. Each person serves as their own control.
- What is the dependent variable in an experiment?
- The measured outcome that responds to the independent variable. This outcome is observed to see if it changes.
- Define 'placebo effect' in experimental terms.
- Changes in outcomes due to participants' expectations. Believing you received treatment can cause real physiological changes.
- What is a placebo in experimental design?
- An inert treatment used to mimic the experimental treatment. Controls for psychological effects of treatment.
- What is a dependent variable in an experiment?
- A variable that is measured and affected in the experiment. This is the outcome or response being studied.
- What is a 'single-blind' experiment?
- Participants do not know their group assignment. Only participants are unaware of their group.
- What is the purpose of blinding in experiments?
- To prevent bias from influencing results. When participants don't know their group, expectations can't skew results.
- Which option best increases precision: use a more sensitive instrument or add a placebo?
- Use a more sensitive instrument. Better instruments reduce measurement uncertainty.
- Identify the design flaw: different thermometers are used for each treatment group.
- Instrument difference introduces systematic bias. Different instruments create systematic measurement bias.
- What is a quantitative measurement in data collection?
- A numerical measurement with units. Provides precise, measurable data for analysis.
- What is an independent variable in an experiment?
- A variable that is manipulated to observe its effect. This is the cause or input that researchers control.
- What is replication in experimental design?
- Repeating trials or using multiple subjects to confirm results. Increases reliability and statistical power.
- What is the role of a control group?
- To serve as a baseline for comparison. Without a control, you can't determine if changes are due to treatment.
- What is an experimental group in an experiment?
- A group that receives the treatment or manipulated condition. Used to test the effect of the treatment.
- Identify one method to minimize bias in experimental results.
- Randomization. Random assignment is most effective bias control.
- What is the primary goal of random sampling?
- To ensure every individual has an equal chance of selection. This prevents sampling bias and increases representativeness.
- What does it mean if an experiment is 'controlled'?
- Variables are regulated to prevent confounding effects. Eliminates alternative explanations for results.
- What is a qualitative observation in data collection?
- A descriptive, non-numerical observation. Describes qualities without numerical values.
- What is a hypothesis in scientific research?
- A testable prediction about the relationship between variables. Must be specific and measurable to test scientifically.
- What is a sampling bias?
- A bias in which the sample is not representative. The sample doesn't accurately reflect the larger population of interest.
- Identify the dependent variable: Studying the effect of light on photosynthesis.
- Rate of photosynthesis. This is the measured response to different light conditions.
- What is the difference between accuracy and precision?
- Accuracy: closeness to true value; precision: repeatability. Two different aspects of measurement quality.
- Identify the controlled variable: enzyme rate tested at pH , , using same enzyme amount.
- Amount (concentration) of enzyme. Same enzyme amount isolates pH effects.
- Which option best reduces bias: random assignment or choosing volunteers?
- Random assignment. Random assignment eliminates selection bias.
- Define a dependent variable in experimental design.
- The variable that is measured or observed. This is what changes in response to the independent variable.
- What is the primary purpose of repeating trials in an experiment?
- To increase reliability by reducing the impact of random error. Multiple measurements average out random variations.
- Identify the independent variable: Experiment on diet effects on blood sugar.
- Diet. Diet is the variable being manipulated to observe blood sugar changes.
- Which option is the clearest operational definition of "growth"?
- Increase in height in cm over days. Specific, measurable criteria define the variable.
- State the main benefit of using a large sample size.
- Increases the reliability and generalizability of results. Larger samples reduce random variation and increase statistical power.
- What is a 'between-subjects' design?
- Different subjects are used in each condition. Separate groups reduce individual differences effect.
- What can be concluded about causation from a well-controlled experiment?
- A causal relationship can be supported if confounders are controlled. Control eliminates alternative explanations for results.
- What is an operational definition in experimental terms?
- A clear, precise description of how variables are measured. This ensures researchers measure variables consistently and objectively.
- Identify the dependent variable: Testing fertilizer's effect on plant growth.
- Plant growth. Plant growth is the outcome being measured in response to fertilizer.
- What is random error in an experiment?
- Unpredictable variation that causes scatter in repeated measurements. Causes data points to spread around true value.
- How does blinding reduce bias in an experiment?
- Prevents expectations from influencing results. Eliminates unconscious influence on data collection.
- What is meant by 'random error' in experiments?
- Error that varies unpredictably between measurements. Random error creates variability but doesn't consistently bias results.
- What is the significance of a control condition in experiments?
- Serves as a comparison to evaluate the effect of treatment. Shows whether treatment actually made a difference.
- Identify the dependent variable: plants receive , , or mL fertilizer; height is recorded.
- Plant height. Height responds to fertilizer treatment.
- Define 'null hypothesis' in research terms.
- A statement that there is no effect or difference. It assumes no treatment effect exists until evidence proves otherwise.
- What is the main difference between an experiment and an observational study?
- Experiments manipulate variables; observational studies do not. Only experiments can establish cause-effect relationships.
- What is a potential limitation of experimental design?
- May not reflect real-world conditions. Artificial settings may not match real life.
- Identify the measurement type: recording color change as "blue" or "green".
- Qualitative. Color categories are non-numerical observations.
- What is the primary purpose of keeping a control group?
- To provide a baseline for comparison to the treatment condition. Shows what happens without the treatment.
- Which option best indicates a controlled experiment: only one variable changes between groups?
- Only the independent variable differs between groups. Single variable change isolates cause-effect relationships.
- Identify the confounder: exercise group also changes diet, but diet is not tracked.
- Diet change. Uncontrolled variable that affects the outcome.
- Identify the control group: Testing a new medication vs. placebo.
- Placebo group. The placebo group provides the comparison baseline for the medication group.
- Define 'external validity' in the context of experiments.
- The extent to which results generalize to other settings. How well findings apply beyond the study setting.
- What type of graph is best for showing changes over time?
- Line graph. Shows trends and patterns in continuous data.
- What is the main purpose of replication in experiments?
- To confirm the reliability and validity of results. Repeated studies help establish whether findings are consistent and trustworthy.
- What is the control group in an experiment?
- The baseline group without the experimental treatment. Provides comparison to show treatment effects.
- What is a hypothesis test in the context of research?
- A method to determine if there is a significant effect. It uses statistical analysis to determine if observed differences are meaningful.
- Identify the dependent variable: Testing fertilizer's effect on crop yield.
- Crop yield. Crop yield is the outcome measured to assess fertilizer effectiveness.
- What characterizes a double-blind experiment?
- Neither participants nor researchers know group assignments. This prevents both participant and researcher bias from affecting results.
- Define 'randomization' in the context of experimental design.
- Assigning subjects to groups by chance to reduce bias. Ensures each participant has equal chance of any group.
- What is the primary goal of experimental design?
- To establish a cause-and-effect relationship. Proper experimental control allows researchers to infer causation, not just correlation.
- What is a hypothesis in experimental design?
- A testable statement predicting an outcome. It guides research by making predictions that can be tested through experimentation.
- What is meant by 'double-blind' in experiments?
- Neither participants nor researchers know group assignments. Prevents bias from expectations of both groups.
- Identify the best control for a drug study: compare to no treatment, placebo, or higher dose only.
- Placebo. Placebo controls for psychological effects.
- What is blinding (single-blind) in an experiment?
- Subjects do not know which treatment group they are in. Prevents placebo effects from biasing results.
- What does 'internal validity' refer to?
- The extent to which an experiment avoids confounding. High internal validity means the experiment properly isolates cause and effect.
- Identify the control group: drug trial compares drug vs sugar pill.
- The sugar pill (placebo) group. No active treatment provides baseline comparison.
- What is the benefit of using a placebo in control groups?
- To isolate the effect of the treatment itself. Separates psychological effects from actual treatment.
- Which option best reduces experimenter bias: double-blind procedure or larger beakers?
- Double-blind procedure. Prevents conscious or unconscious researcher bias.
- Identify the independent variable in an experiment.
- The variable that is manipulated by the researcher. This is what the experimenter changes to test its effect.
- Identify the control group: Testing a new drug vs. placebo.
- Placebo group. The placebo group receives no active treatment for comparison.
- What is meant by experimental validity?
- The degree to which an experiment measures what it intends to. Valid experiments accurately test their hypotheses without confounding factors.
- Identify the role of a placebo in an experiment.
- A harmless substance given to control group to mimic treatment. Controls for psychological effects of receiving treatment.
- What is the independent variable in an experiment?
- The factor deliberately changed by the researcher. This variable is manipulated to test its effect.
- Identify the independent variable: Study on caffeine's effect on alertness.
- Caffeine. Caffeine is the factor being varied to test its impact on alertness.
- What does 'replication' mean in scientific research?
- Repeating an experiment to verify results. Confirms findings are consistent and reliable.
- What is a controlled variable in an experiment?
- A factor kept constant across all experimental conditions. These prevent confounding effects from other variables.
- What is a 'null hypothesis' in the context of an experiment?
- A statement that there is no effect or difference. Assumes no relationship exists between variables.
- What is a 'within-subjects' design?
- Same subjects are used in all treatment conditions. Controls for individual differences between participants.
- Define reliability in the context of experimentation.
- The consistency of a measure across trials. Reliable measures produce similar results when repeated under same conditions.
- What strategy is used to minimize the placebo effect in an experiment?
- Double-blind procedure. Neither group knows treatment status to prevent bias.
- Identify the best reason to randomize trial order when testing multiple temperatures.
- To reduce order effects and time-related confounding. Random order prevents time-dependent confounding.
- Why is it important to have a large sample size in an experiment?
- To increase the generalizability of results. Results apply more broadly with diverse samples.