loftus and palmer Flashcards
introduction - post event information and leading questions + what did Marshall find
- post event information is the potential of altering memory of events
- a leading question is a question that prompts/ encourages the answer wanted
- Marshall administered a test to air force personnel of speed estimates which ranged from 10-50 mph when the car was really going 12 mph
what was the aim of study?
to investigate the phasing of the question used to elicit speed judgement
summarise experiment 1
- 45 students from uni of washington
- 7 films depicting a traffic accident, segments (5-30 sec) from longer driver education films from the evergreen safety council and Seattle police department
- critical question of “about how fast were the cars going when they HIT each other”
- hit, smashed, collided, bumped, contacted
- films presented in different order to each group with the experiment lasting 1hr and 30 mins
what were the results for experiment 1?
- mean speed estimates for smashed = 40.5, hit = 34.0
- leading questions had an impact on speed estimates
- 2 possible reasons = 1) response bias factors 2) the question form causes a change in the subjects memory representation of the accident
why was experiment 2 conducted?
- to provide additional insights into the origin of the differential speed estimates
give a summary of experiment 2
- 150 students who watched a film depicting multiple accidents, lasted less than a minute with the collision being 4 seconds
- received a questionnaire asking them to describe the accident in their own words and then answer a series of questions
- 3 conditions of critical question … smashed, hit and no interrogation
- one week later asked “did you see any broken glass”
what were the results for experiment 2?
- mean speed estimates : smashed = 10.46, hit = 8.00
- probability of saying yes to the broken glass question when smashed = 0.32, when hit = 0.14
what is an issue with sample size and a counterargument?
- experiment 1 had a small sample size of 45 students so any anomalous results would have a larger impact on the sample
- CA : experiment 2 had a larger sample size of 150 students
what is a strength of the study in terms of reliability?
- standardised procedures used e.g. the film lasted for less than 1 minute in experiment 2 and the collision lasted for 4 seconds
- experiment can be repeated for consistency
what is an issue with the sample consisting of university students?
- they are all at an age in which they are either new to driving or don’t drive which may affect their ability to make accurate speed estimates, if older people were asked there may have been more accurate estimates
applications - what should the police use to question people?
- they could use cognitive interviewing techniques which aims to maximise the accuracy of information recall by having eyewitnesses reinstate the context, report every detail and recall from different perspectives/orders
- geiselman found that the average no. of accurately recalled facts was significantly higher (41.2 compared to 29.4)
what extraneous variables were controlled for?
- the short films (5-30 sec in exp 1 and less than 1 min in exp 2) kept ppt. attention and allowed them to witness the crash fully
- prevented reconstruction of memory being based on which bits of the film that the person saw
why is the critical question being randomly included amongst other questions within a questionnaire a strength?
- increases the internal validity because it reduces the chance of the ppts guessing the aim of the study and so fewer demand characteristics will be shown
- e.g. “about how fast were the cars going when they HIT each other”
what can be said about ecological validity/ task validity?
- low ecological validity as it took place in a labatory environment
- low task validity as watching a film of a crash isn’t the same as seeing one in real life and so may not bring up the same emotions and anxiety which could affect memory
what is a strength of the data gathered?
- data gathered was quantitative e.g. speed estimates such as 40.5 in the smashed condition for experiment 1
- objective and not open to bias, can be easily statistically analysed