Research Issues & Controls (College Board AP® Psychology): Study Guide
Random assignment
Psychological research must control for factors that could distort results
If these factors are not controlled, researchers cannot confidently conclude that the IV caused changes in the DV
Strong research design protects internal validity and reduces bias
Random assignment is the process of placing participants into experimental or control groups by chance
Its purpose is to:
distribute participant differences evenly across groups
reduce confounding variables
strengthen causal conclusions
Random assignment helps ensure that pre-existing differences (e.g., motivation, intelligence, personality) are unlikely to systematically affect one group more than another
These pre-existing differences are a key source of confounding variables — variables other than the IV that could explain changes in the DV
Examiner Tips and Tricks
Make sure you know the difference between random sampling and random assignment — these two terms are commonly confused in the exam.
Random sampling = how participants are selected by chance from a population to take part in the study
Random assignment = how participants already selected to take part in the study are placed into groups using chance
They both involve chance, but they happen at different stages of the research process. Random sampling happens first, when deciding who takes part. Random assignment happens second, when deciding which group each participant goes into.
Experimental vs. control group
Experiments usually consist of two conditions where the effect may need to be compared:
The experimental group receives the treatment
The control group does not receive the treatment, therefore acts as a baseline for comparison
Without a control group, it is difficult to determine whether changes in the DV were caused by the IV
Without random assignment, even with a control group, pre-existing differences between the groups could act as confounding variables and undermine the validity of the findings
Placebo method
A placebo is an inactive substance or fake treatment given to the control group
Example:
Experimental group receives a new anxiety-reducing drug
Control group receives a sugar pill (the placebo)
Crucially, the control group does not know they have received a sugar pill rather than the real drug
Before the study begins, all participants are informed that they may receive either the real treatment or a placebo, and they consent to this as part of the study
This means participants in both groups believe they may be receiving the real treatment, which is what allows the placebo effect to be properly controlled
The placebo controls for the placebo effect — when participants improve simply because they expect to improve
If both groups show similar improvement, the results may be due to expectation rather than the treatment itself
The placebo method strengthens internal validity by isolating the true effect of the IV
Examiner Tips and Tricks
Do not confuse the placebo method with deception. Participants are told before the study begins that they may receive either the real treatment or a placebo — they consent to this. They simply do not know which one they actually received.
If an exam scenario involves a placebo, check that participants were informed it was a possibility — this is what makes the procedure ethically sound.
Experimenter bias
Experimenter bias occurs when a researcher's expectations influence the outcome of a study
This can happen if the researcher:
unintentionally gives cues about the expected outcome
treats one group differently to the other group
interprets ambiguous results in a biased way
Because researchers often know the hypothesis, this bias may be unconscious
For example, if a researcher has hypothesised that the experimental group will score higher, they may unconsciously communicate this expectation to participants through their tone of voice, body language, or the way they deliver instructions
This can influence how participants behave, distorting the results in the direction the researcher expected
Controlling experimenter bias: double-blind procedure
One way to control for experimenter bias is to use a double-blind procedure
In a double-blind study:
Participants do not know which condition they are in
The researcher interacting with participants also does not know
This prevents both participant and researcher expectations from influencing results
Demand characteristics and social desirability bias
Demand characteristics occur when participants pick up cues about the purpose of a study and alter their behaviour accordingly
Participants may:
try to confirm what they think the hypothesis is
try to sabotage the study
act how they think they are supposed to act
This makes results artificial and threatens the internal validity of the study
Social desirability bias is a specific type of demand characteristic — where participants respond in ways they believe are socially acceptable rather than behaving truthfully
This is especially common in surveys, interviews, and studies on sensitive topics (e.g., prejudice, substance use, aggression)
For example, participants may underreport aggressive behavior or overreport charitable acts to appear more favorable
Controlling demand characteristics: single-blind procedure
One way to control for demand characteristics is to use a single-blind procedure
In a single-blind study:
participants do not know which condition they are in
this reduces the likelihood that they will modify behavior based on what they think is expected of them
If participants cannot identify which group they are in, they are less able to respond according to perceived demand characteristics or social pressure
Examiner Tips and Tricks
Experimenter bias and demand characteristics (including social desirability bias) are both examples of confounding variables — they are factors other than the IV that could explain changes in the DV, and therefore threaten the internal validity of a study.
When evaluating a research scenario, consider both the design and the procedure: does the study include a control group, and was a blinding procedure used? A control group alone is not enough — blinding is also needed to prevent bias from distorting results during data collection.
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