participants in [IV condition 1] will ... significantly more/less [DV] than participants [IV condition 2]
non directional two-tailed hypotheses
there will be a significant difference in the [DV] in the participants [IV condition 1] compared to participants [IV condition 2]
null hypotheses
there will be no significant difference in the [DV] of the participants [IV condition 1] compared to participants [IV condition 2]. Any difference will be due to chance
lab experiments have:
high level of control over variables
standardised procedures
independent variable manipulated by researcher
field experiment is conducted in natural setting
independent variable manipulated by researcher
quasi experiment
independent variable already exists in participants
cannot randomise between conditions of experiment
Natural experiment
researcher records change in dependent variable between two levels of independent variable
happens when an event causes people to form into levels of IV such as natural disasters or political events
lab experiment evaluation
highly controlled so high internal validity, can establish cause and effect
standardized so can replicate
lacks ecological validity and mundane realism
demand characteristics may be present
field experiment evaluation
high ecological validity and mundane realism
less demand characteristic
lack of control over extraneous variables so low internal validity
difficult to randomly assign participants to different conditions
natural experiment evaluation
allows research unable in controlled experiments due to ethics/cost
high ecological validity
cannot control extraneous variable or establish cause and effect
cannot be replicated
quasi experiment evaluation
only way to study factors that are pre existing characteristics in participants
some factors related to level of IV cannot be controlled
confounding variables present
independent measures design
different participants in two or more conditions
randomly allocated to avoid researcher bias
produces unrelated data
repeated measures design
same participants in each condition
produces related data
order effects
when participants perform better with practice or worse with fatigue
reduce by counterbalancing
ABBA format in repeated measures design
matched pairs design
different participants in each condition
participants assessed and ranked on characteristic
top 2, then following two, randomly assigned to each condition
produces related data
independent measures design evaluation
participant less likely to work out aim
reduces demand characteristic
no order effects
participant variables
repeated measures evaluation
does not need as many participants
less participant variables if they participate in both conditions
participants likely to work out aim
demand characteristics
order effects
matched pairs evaluation
reduce participant variables as characteristics are matched
no order effects
time consuming
participants are similar NOT identical
single blind control
participants do not which condition of the IV they are in
cannot alter behaviour
reduces demand characteristuics
double blind control
participant and researcher do not know who is in what condition
validity
degree to which a measure accurately assesses a specific concept, trait or construct as it claims
internal validity
whether the study design, conduct and analysis answers the researchers questions without bias
face validity
whether a test appears to measure what it is supposed to measure
temporal validity
validity of findings in relation to the progression of time
concurrent validity
extent to which results of a particular test/measurement correspond to those of previously established measurements for the same construct
external validity
whether the findings can be generalised to other settings/contexts
population validity
whether you can generalise findings from your sample to a larger group of people
ecological validity
extent to which your findings can be generalised to real world situations
reliability
consistency of measurement, instrument or procedure of yielding the same results on repeated trials
internal reliability
internal consistency of a measure
external reliability
consistency of a measure from one use to another
inter-rater reliability
extent to which different raters agree in assessing a specific phenomenon, behaviour or characteristic
test/re-test reliability
administer same test twice over a period of time with the same participants
correlate scores
split half method
test split into two halves
score each half seperately
correlate scores using statistical method (pearson correlation)
informed consent
participants told purpose of study and risks
researcher may not fully disclose due to potential demand characteristics
types of consent
types of consent
presumptive- gather if similar people would consent and generalise
prior general- participant consents for many studies
retrospective- consent after study during debrief
parental consent- for those under 16
right to withdraw at any point in study
data can be removed
confidentiality
protection of personal data
replace anything that can be linked to identities when publishing
replace names with numbers
privacy
right to control how participants information is released/used