In an experiment, the researcher measures the effect of the independent variable on the dependent variable.
True
This statement describes the fundamental purpose of conducting an experiment.
What is an independent variable (I.V.)?
The different conditions (groups) within the study
It is easy to identify because it represents the variable that is manipulated.
What is a dependent variable (D.V.)?
The variable which is affected by the I.V.
It is the data collected from the participants in the study.
What is the purpose of a control group in an experiment?
To serve as a benchmark for comparison
A control group closely resembles the experimental group but is not subjected to the factor under study.
True or false: A control group is used to establish if the independent variable is causing the change in behavior.
True
This helps to determine whether observed effects are due to the I.V. or other factors.
Using a control group increases internal validity.
True
Internal validity refers to the extent to which the results of an experiment can be attributed to the manipulation of the independent variable.
In the hypothesis ‘There will be a difference in scores on the digit span test between participants who have drunk 6 units of alcohol and those who have not drunk any alcohol’, the independent variable (I.V.) is:
Alcohol consumption
This variable differentiates the two groups being studied.
In the same hypothesis, the dependent variable (D.V.) is:
Scores on the digit span test
This is the outcome being measured in response to the independent variable.
What does DV stand for in research?
Dependent Variable
The dependent variable is what is being measured in the research.
What does IV stand for in research?
Independent Variable
The independent variable is what is being manipulated or controlled in the research.
What is the operationalisation of variables?
The precise definition of what is being measured (and, if applicable, controlled) in the research.
This ensures clarity and consistency in research.
Give an example of an operationalised variable for temperature.
Cold room - temperature e.g. below 8 degrees
This specifies the exact condition being measured.
Give an example of an operationalised variable for intelligence.
Intelligence - score on an IQ test e.g. 120 and above
This quantifies the variable for measurement.
What is an extraneous variable?
Any variable other than the independent variable that could affect the dependent variable
Extraneous variables can confound the results if not controlled.
Why do researchers try to control extraneous variables?
To increase the internal validity of the results
However, it is not always possible to control all extraneous variables.
What happens if an extraneous variable is not controlled?
It confounds the results
This means the extraneous variable has had an effect on the dependent variable.
Give an example of a situational variable.
Situational variables can affect participants’ behavior in the study.
How can situational variables be controlled?
By having carefully standardised experimental procedures and test conditions
This helps to minimize the impact of situational variables.
What are participant variables?
Characteristics of individual participants (e.g., age, sex, intelligence, motivation)
These variables might influence the outcome of a study.
How can participant variables be partially controlled?
Through the design of the study (using matched pairs/repeated measures or random allocation)
This helps to balance participant characteristics across conditions.
What are demand characteristics?
Cues in the environment that participants can use to work out the aim and hypothesis of the study
Demand characteristics can lead to social desirability effects.
How can demand characteristics be controlled?
These methods help maintain the integrity of the study’s results.
True or false: Demand characteristics can lead to low internal validity.
TRUE
This occurs when participants behave in a way they think the researcher wants, affecting the measurement of natural behavior.
What are Investigator Effects?
Any (unintentional) influence of the researcher’s behaviour/characteristics on participants/data/outcome
Characteristics of the researcher (personality, appearance, conduct, gender, age etc.) that may influence results.