Independentvariable: the variable that is changed directly by the experimenter
Dependentvariable: the thing is measured and recorded in the experiment
cause and effect relationship - is a change in one variable causes a change in another variable
Reliability - when the research can be replicated and produces the same results
Internal reliability - the consistency to which the proceduremeasures what it is supposed to measure.
Validity - the extent to which a test measures what it is supposed to measure
Internal validity - whether the research measures what it is set out in the hypothesis
Concurrent
Face
Content
predictive
Concurrent validity - does it match with previous studies
Face validity - does it appear to measure what it claims to measure.
Content validity - does it cover all aspects of the content
Predictive validity - is it the same as hypothesised
External validity - how applicable are the findings to the real world
Population
Ecological
construct
temporal
Population validity - does it generalise to the population
Ecological validity - does it generalise to real life
Temporal validity - does it cover people of different time periods
Construct validity - does it really measure as accurately as it was supposed to
Aim - the first step when conducting a research
Hypothesis - the third step is to conclude a precise, testable statement of the expected outcome of the experiment.
Operationalise the variable: defining the variable to the specificdot
Types of hypothesis:
Nullhypothesis
Experimentalhypothesis
Null hypothesis - the IV will have no effect on the DV, and if it does, its due to chance.
Experimental hypothesis - IV will have an effect on the DV
directional
Non directional
Directional hypothesis (one tailed) - states that there is a relationship between two variables. eg increasing/decreasing
Non directional hypothesis (two tailed) - states that there is a relationship between two variables but doesn't state whether it increases or decreases
Extraneous variable - external factors that can impact the results of the experiment.
confounding variables - results that have been effected by extraneous variables that are not controlled
Types of extraneous variables:
situational variables - location, weather
Participants - demand characteristics/ social desirability
Experimental effect - eg tone of voice
social desirability - screw you/please you effect
Controlling extraneous variables:
blind/double blind experiment
deception
counter balancing - reversing order to avoid bias
standardising procedures: the procedure carried out is consistent
Randomisation: removing bias from as many decisions as possible - this is different from random sampling
Random sampling - randomly selecting people for results
Comparison condition - to see if the IV effects the DV you need something to compare it with something
IndependentGroupDesigns:
randomly divide into two groups
each group does a different condition, then compare DV
RepeatedMeasures:
Whole group does Condition A
Whole group does Condition B, measure DV and compare
MatchedPairs:
Ask participants to complete a questionnaire, then match into two groups based on personality
Person A completes Condition A
Person B completes Condition B, then compare DV
Inter observer reliability - the degree to which how reliable the results are
multiple observers observe the same behaviour, then compare DV
Pilot study - a small study that is carried out before a larger study to test the design and procedures
Implications of research on the economy:
Less maternity leaves - Schaffer & Emerson importance of father
Gender pay gap - minority influence
less costs to society - EWT
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