Data in the form of text/pictures (transcripts, field notes & sometimes pictures)
Quantitative data
Data in the form of numbers
Qualitative data is naturally occurring & rich data (open ended, i.e. open for interpretation)
Analysis of qualitative data is often difficult & time consuming: no single approach to data analysis
Qualitative research often involves fewer participants (non-probability sampling)- difficult to generalise
Analysis of quantitative data is relatively easy- statistical tests
Quantitative research is easier to use data from many participants & aim is often to generalise of findings to populations
Both qualitative and quantitative approaches are equally valuable and their use will depend on the aims and objectives of an investigation
Behaviour is often the result of complex social, cultural, cognitive as well as biological interactions, a combination of approaches to researching behaviour is not only inevitable, but desirable
Research methods that often yield qualitative data
Case Studies
Naturalistic Observations
Interviews
Research methods that often yield quantitative data
Lab Experiments
Field Experiments
Natural Experiments
Quasi Experiments
Correlational Research
Surveys
Surveys that include open ended questions will yield qualitative data
In some naturalistic observations, psychologists do numerical counts of particular behaviours therefore producing quantitative data
Experimental method
Direct way to test a hypothesis to find a cause and effect relationship between factors
Experimental method
Manipulates one or more factors to observe their effect on some behavior or mental process while controlling other relevant factors
Independent variable
The factor that is manipulated by the researcher, hypothesised to cause an effect on another variable
Dependent variable
The observed and measured factor, hypothesised to be affected
Experimental condition
The condition that exposes the subjects to the independent variable
Control condition
The condition that serves as a contrast or comparison to the experimental condition, the subjects are not exposed to the independent variable
Extraneous variables
All variables, which are not the independent variable, but could affect the results (DV) of the experiment
Types of extraneous variables
Situational variables
Participant variables
Experimenter effects
Demand characteristics
Control variables
Experimental controls that researchers use to minimise the chances that variables other than the independent variable have impacted the dependent variable
Where experiments are highly controlled we can say they have high internal validity
Internal validity
Whether results obtained were due to the manipulation of the IV rather than any other factors such as extraneous variables
Experimental hypothesis
A statement that is testable and falsifiable based on the results of an experiment or observation, stating the relationship between two or more factors (variables)
One-tailed hypothesis
States which direction the results will go in and usually contains words like 'more', 'better', 'faster'
Two-tailed hypothesis
Predicts that the IV will impact the DV but it does not include a prediction of the direction the results will go in, tends to include terms like "there will be a difference between…" or "have an effect on"
Null hypothesis
A prediction that the independent variable will have no effect on the dependent variable
Operationalising variables
Clearly defining the independent variable and the dependent variable, including how they will be manipulated and measured
True experiment
The researcher manipulates the independent variable, there are at least two conditions that are compared, and allocation to conditions is done randomly
Laboratory experiment
A type of true experiment conducted in a controlled environment with a highly standardised procedure
Field experiment
A type of true experiment conducted in the participants' natural environment, with some degree of control but less than a lab
Quasi-experiment
Not a true experiment, where assignment of participants to conditions cannot be made at random for practical or ethical reasons
Natural experiment
A special type of quasi-experiment where the independent variable is environmental in nature and outside of the control of the researcher
Pre-test/post-test design
An experiment where the dependent variable is measured both before and after the independent variable is introduced