Research Methods Flashcards
Types of validity
Face Construct Concurrent Criterion Population Ecological
Binomial sign test
Repeated measures
Nominal data
Chi-squared
Independent measures
Nominal data
Mann-Whitney U
Independent measures
Ordinal data
Alternate hypothesis
There WILL be a significant difference
Null hypothesis
There WON’T be a significant difference
One-tailed hypotheses
Directional
Two-tailed hypotheses
Non-directional
Spearman’s Rho
Correlation
Unstructured interview
No pre-determined questions
✅ detailed, more comfortable
❌ time consuming, may go off topic, open to bias
Closed questions
Restricted response
✅ easy to analyse
❌lacks detail
Negative correlation
As one increases the other decreases
Response bias
When people chose the middle option
Criterion validity
Refers to the extent the test scores can predict a future behaviour
Construct validity
Whether a measure is assessing it’s underlying constructs
Population validity
Evaluated whether the sample represents the entire population
Ecological validity
Evaluated whether the results of a study can be generalised to real life situations
Naturalistic observation
Carried out in a natural environment where you’d expect to see that behaviour occur
✅ ecological validity
❌ less control
Structured observation
The researcher has a behaviour checklist to tally
✅ clear direction
❌ behaviours that aren’t on the checklist don’t get recorded
Participant observation
Where the researcher is apart of the group that is being observed
✅ gain first hand data
❌ observer bias
Non-participant observation
Researcher not apart of the group being observed
✅ less chance of observer bias
❌ miss certain behaviours
Overt observation
P’s know they’re being observed
✅ ethical
❌ demand characteristics
Covert observation
P’s don’t know they’re being observed
✅ no demand characteristics
❌ less ethical
Observer bias
Where they interpret the behaviour they want
❌ less likely to measure what intends to
Random sampling
Equal chance of being chosen
✅ unbiased
❌ time consuming, less willing
Order of a report
Abstract Introduction Method Results Discussion Bibliography/references Appendices
Wilcoxon’s test
Repeated measures
Ordinal data
Report: abstract
General aims/hypothesis Sample Design/procedure Results Conclusions
Repeated measures
P’s complete all conditions
✅ don’t have to find double the amount of p’s, no individual differences
❌ experience order effects, demand characteristics
Matched pairs
P’s from different conditions are matched
✅ avoids order effects, less chance of demand characteristics
❌individual differences, more p’s
Lab
Controlled conditions, manipulate IV
✅ easily replicated
❌ lacks ecological validity
Snowball sampling
Asking p’s to nominate another person
✅ find people with rare characteristics
❌ time consuming, bias
Opportunity sampling
Selecting people who are readily available at the time
✅ quick, easy, cheap
❌ biased, unrepresentative
Volunteer sampling
Select themselves to participate
✅ p’s willing
❌ time consuming, unrepresentative
Ethnocentrism
When a sample is taken from one culture/area
Nominal data
Where data is in separate categories
Ordinal data
Data is ordered in some way
Measures of dispersion
How spread out the data is
Standard deviation
Measures how spread out the data is from the mean
High - very spread out from the mean
Low - close to the mean
0 - all the data values are the same
% of 1 standard deviations
% of 2 standard deviations
% of 3 standard deviations
1 - 68%
2 - 95%
3 - 99.7%