A method of investigation used to demonstrate cause-and-effect relationships by purposely manipulating one factor thought to produce change in another factor.
Laboratory experiments
experiments conducted in a lab, a highly controlled environment
Field experiments
experiments conducted in natural settings rather than in the laboratory
Natural experiments
Naturally occurring events or phenomena having somewhat different conditions that can be compared with almost as much rigor as in experiments where the investigator manipulates the conditions.
Quasi experiments
comparisons of groups that differ in exposure to a variable of interest that cannot be manipulated for ethical or practical reasons 'almost experiments
Naturalistic observation
observing and recording behaviour in naturally occurring situations without trying to manipulate and control the situation
Controlled observation
Some control over variables takes place to observe how people may interact/behave. They take place inside and outside of a lab.
Overt observation
Participants know they are being observed
Covert observation
Participants do not know they are being observed until after the observation
Participant observation
investigators systematically observe people while joining them as participants
Non-participant observation
when the researcher observes behaviour without participating in that behaviour
Questionnaire
a written set of questions to be answered by a research participant
structured interview
a research procedure in which all participants are asked to answer the same questions
Unstructured interview
no fixed set of questions and no systematic scoring procedure
involves asking probing questions to find out what the applicant is like
Correlation
A measure of the relationship between two variables
Aims
The purpose of the investigation
independent variable
a variable that is manipulated by the experimenter
Dependent variable
the outcome factor; the variable that may change in response to manipulations of the independent variable.
Operationalise
Ensuring that variables are in a form that can be easily tested.
Hypothesis
a precise, testable statement of the relationship between two variables
Directional hypothesis
a one-tailed hypothesis that states the direction of the difference or relationship
Non-directional hypothesis
two-tailed hypothesis - simply states that there is a difference but not what the difference will be.
Target population
a group of people that share similar characteristics and are identified as the intended audience for research
Random sample
a method of selecting from a population in which each person has an equal probability of being selected
Opportunity sample
a sample of participants produced by selecting people who are most easily available at the time of the study.
Stratified sample
a sample drawn in such a way that known subgroups within a population are represented in proportion to their numbers in the general population
Systematic sample
a sample drawn by selecting individuals systematically from a sampling frame
Bias
a predisposition to a certain point of view despite what the facts suggest that may influence a study
Generalisation
the application of the results from a study, to the wider target population
Pilot study
a small study carried out to test the feasibility of a larger one
Independent groups design
an experimental design in which different groups of participants are exposed to different levels of the independent variable
Random allocation/Randomisation
allocating participants to experimental groups or conditions using random techniques
repeated measures design
an experimental design where the same participants are used in all the conditions in an experiment.
Counterbalancing
a method of controlling for order effects in a repeated measure design by either including all orders of treatment (ABBA)
Matched pairs design
an experimental design where pairs of participants are matched on important characteristics and one member allocated to each condition of the IV
Open questions
questions that allow for a variety of extended responses
Closed questions
questions that can usually be answered with yes or no.
Extraneous variables
any variables other than the independent variable that seem likely to influence the dependent variable in a specific study
Confounding variable
a factor other than the independent variable that might produce distorted associations between two variables
Order effects
occur when the order in which the participants experience conditions in an experiment affects the results of the study