Validity in an experiment is whether a result from any kind of study is a genuine one; whether the data collected really represents people’s everyday behaviour
Validity can be internal or external
Internal validity involves whether the researcher tested what they truly intended to test
High internal validity means the IV was truly tested on the DV
Low internal validity means the EV was tested on the DV
External validity involves the extent to which the research results can be generalised to other people and settings (low internal validity means there must be low external validity)
External validity is split into ecological and population validity
Ecological validity is how well the results can be generalised to other settings and locations
Population validity is the extent to which the results can be generalised to other people, to measure this a large variety of people is used and opportunity sampling is avoided
Factors that affect validity:
-demand characteristics
-researcher bias
-researcher effect
Demand characteristics are cues that tell participants the true aim of your study, these cues can subconsciously affect their behaviour
You can reduce demand characteristics by:
-only using participants in one condition of the study
-used unrelated (filler) questions
-deception can be used
-single blind procedure could be used
-double blind procedure could be used
Researcher bias is when a researchers expectations affect a participants behaviour
Researcher bias can be reduced by performing a double blind study
Researcher effect is when the researcher does something that affects the participants performance
Researcher effect can be direct or indirect
Indirect researcher effects encourage reactions in participant. These can avoided by using a script or using a double blind trial
Indirect researcher effects analyse the test results in a biased way or create study bias. These can be avoided by peer reviewing the studies
An experiment is a research method which demonstrates causal relationships
Strengths of laboratory experiments:
-extraneous variables are decreased
-no environmental changes
-researcher has more control
-easily replicated
Weaknesses of laboratory experiments:
-could be unsettling environment
-low ecological validity
-low validity because the participants are aware of the study
-demand characteristics and researcher bias/effect are increased
Strengths of field experiments:
-less demand characteristics
-higher ecological validity
-some control of extraneous variables
Weaknesses of field experiments:
-increases extraneous variables
-lack of informed consent and therefore no right to withdraw
-less control of extraneous variables
-harder to replicate as it’s often more expensive or time consuming
Quasi experiments involve a naturally occurring IV and the DV is measured in either a lab or field
Strengths of a quasi experiment:
-high ecological validity
-allows research where IV can’t be manipulated
Weaknesses of quasi experiments:
-lack of control over IV (can’t tell if IV causes DV)