Research Methods Flashcards
Validity
Whether something is true – measures what it sets out to measure.
Concurrent Validity
Comparing a new test with another test of the same thing to see if they produce similar results.
If they do then the new test has concurrent validity
Face Validity
Simple way of assessing whether a test measures what it claims to measure which is concerned with face value – e.g. does an IQ test look like it tests intelligence.
Test-retest Reliability
Involves presenting the same participants with the same test or questionnaire on two separate occasions and seeing whether there is a positive correlation between the two
Reliability
Whether something is consistent. In the case of a study, whether it is replicable.
Ecological Validity
The extent to which the findings of a research study are able to be generalized to real-life settings
External Validity
Whether it is possible to generalise the results beyond the experimental setting.
Inter-rater/observer Reliability
The extent to which two or more observers are observing and recording behaviour in the same way
Internal Validity
In relation to experiments, whether the results were due to the manipulation of the IV rather than other factors such as extraneous variables or demand characteristics.
Temporal Validity
Refers to how likely it is that the time period when a study was conducted has influenced the findings and whether they can be generalised to other periods in time
Peer Review
Before going to publication, a research report is sent other psychologists who are knowledgeable in the research topic for them to review the study, and check for any problems
Pilot Study
A small-scale study conducted to ensure the method will work according to plan. If it doesn’t then amendments can be made.
Case Study
In-depth investigation of a single person, group or event, where data are gathered from a variety of sources and by using several different methods (e.g. observations & interviews).
Content Analysis
Technique used to analyse qualitative data which involves coding the written data into categories – converting qualitative data into quantitative data.
Thematic Analysis
A method for analysing qualitative data which involves identifying, analysing and reporting patterns within the data
Skewed Distribution
An arrangement of data that is not symmetrical as data is clustered to one end of the distribution
Positive Skew
Mode < Median < Mean
Negative Skew
Mode > Median > Mean
Qualitative Data
Descriptive information that is expressed in words
Quantitative Data
Information that can be measured and written down with numbers.
Types of Observation
Covert or Overt
Naturalistic or Controlled
Participant or Non-Participant
Covert or Overt
Do the participants know that they’re being observed?
Demand characteristics
Naturalistic or Controlled
Is the researcher controlling the environment?
Extraneous variables, ecological validity
Participant or Non-Participant
Is the researcher part of the group they are researching?
Qualitative data, deeper understanding
Have to remember info, can’t write down
Laboratory Experiment
Experiment in controlled environment, standardised procedures
Can determine cause and effect, replicable
Lacks ecological validity, demand characteristics
Field Experiment
Study in a natural setting, most participants don’t know they’re being observed
Ecological validity, cause and effect
Confounding variables, ethical issues
Quasi Experiment
Researcher does not manipulate an IV, it is naturally occurring. Cannot allocate participants themselves
Enables investigation of variables that can’t be manipulated
Confounding variables, cause and effect can’t be concluded
Natural Experiment
Researcher takes advantage of a natural occurrence to produce a changing independent variable.
Ecological validity, can study things that can’t be manipulated
Confounding variables, cause and effect
Repeated Measures
Same participants are used in each condition
Participant variables are controlled, fewer participants are needed
Order effects (counterbalancing used), demand characteristics
Independent Groups
Each participant is used in one condition only
No order effects, less likely demand characteristics
Participant variables, more participants needed
Matched Pairs
Different participants used for each condition, but are matched in pairs based on various criteria and split up.
Same pros as IG and RM
But very time consuming, can never match perfectly
Bar Chart
A graph that shows the data in the form of categories (e.g. behaviours observed) that the researcher wishes to compare.
Behavioural Categories
Key behaviours or, collections of behaviour, that the researcher conducting the observation will pay attention to and record
Closed Questions
Questions where there are fixed choices of responses e.g. yes/no. They generate quantitative data
Confidentiality
Unless agreed beforehand, participants have the right to expect that all data collected during a research study will remain confidential and anonymous.
Confounding Variable
An extraneous variable that varies systematically with the IV so we cannot be sure of the true source of the change to the DV
Control Group
A group that is treated normally and gives us a measure of how people behave when they are not exposed to the experimental treatment (e.g. allowed to sleep normally).