Unit 2 Flashcards
A hypothesis is…
A prediction
Hypothesis that indicates a direction in results
Directional
Hypothesis that doesn’t indicate a direction in results
Non directional
Null hypothesis means …
Prediction won’t happen - if so by chance
Operationalisation means
How you intend to measure the DV
An extraneous variable is…
Any variable except the IV that influences findings
Situational variable is …
An extraneous variable that’s in the environment
Eg earthquake, hot sunny day
Participant variable is…
An extraneous variable caused by the participant
Eg: stress, being ill, tiredness
A confounding variable ….
Effects findings so much you’re no longer measuring what was intended
Covariables are ….
Associated variables - but doesn’t say how or why
Lab experiment is….
Takes place in a controlled environment
IV manipulated to see effect on DV
Field experiment is…..
Takes place in a more natural environment/real life setting
IV manipulated to see effect on DV
Natural experiment is ….
Takes place in a real life setting
IV left to naturally occur to see effect on DV
2 Benefits 2 drawbacks of lab experiments
+ high control + establish cause and effect
- artificial - demand characteristics
2 Benefits 2 drawbacks of field experiments
+ real life + ecologically valid
- limited variable control - difficult to replicate
2 Benefits 2 drawbacks of natural experiments
+ real life + ecologically valid
- not replicable - no control over variables
4 types of Naturalistic observation
Covert
Overt
Participant
Non participant
Covert observations…
Participants are unaware of the observation
Overt observations….
Participants know about the observation
1 benefit and 1 drawback of covert observation
+ validly
- unethical
1 benefit and 1 drawback of overt observation
+ ethical
- demand characteristics
1 benefit and 1 drawback of participant observation
+ practical
- may lack notes
1 benefit and 1 drawback of non participant observation
+ practical
- validity
Structured observations take place in…
Takes place in a lab
NOT an experiment!
1 benefit and 1 drawback of a structured observation
+ reliable
- poor validity
What is content analysis
A way of systematically describing written/spoken/visual communication
Provides quantitative data
3 benefits of content analysis
+ accounts for individual difference
+ establish behaviour causes
+ good to study emotion
3 drawbacks of content analysis
- not scientific
- can’t generalise
- lacks validity
Process of content analysis
1- draw up categories
2- tally, counting references to each category
3 types of interview
Structured
Unstructured
Semi structured
Types of question in a questionnaire
Open ended question
Closed questions
2 benefits to interviews
+ generalisable if sample is representative
+ easy to repeat
2 drawbacks to interviews
- objective
- unreliable answers
2 benefits to questionnaires
+ easy to gain large sample
+ easy to replicate
2 drawbacks to questionnaires
- unhonest response
- subjective
3 benefits to quantitative data
+ easy conclusions
+ scientific
+ superficial
2 drawbacks to quantitative data
- lacks validity
- narrow information
3 benefit is to qualitative data
+ meaningful and valid
+ ecological validity
+ can convert to quantitative
2 drawbacks to qualitative data
- hard to compare
- less scientific
Sampling frame where everyone has an equal chance
Random
Sampling frame where first available is taken
Opportunity
Sampling frame where every Nth person is chosen
Systematic
Sampling frame where population is categorised and chosen in same proportions
Stratified