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29 Cards in this Set

  • Front
  • Back
Hypothesis
A testable statement about the relationship between two variables. In an experiment these variables are called the IV and the DV
Variable
A factor or thing that can change - it varies
Independent Variable
The variable that the researcher alters or manipulates to look for an effect on another variable. This variable produces the two conditions of the study
Dependent Variable
The variable that the researcher measures to see if the IV has affected it
Experiment
The method of research in which all the variables other than the IV and the DV are controlled. This allows the researcher to identify a cause-and-effect relationship between the IV and DV
Condition
An experiment is usually organised so that there are 2 trials, after which performances of the participants are compared. These are the conditions of the experiment
Participant
A person who is selected to take part in a study
Order effect
This occurs when a participant's performance in the second condition of an experiment is affected because they have already done the first condition. They may do better or worse because of tiredness. This may happen in a repeated measures design
Participant variables
The difference between the people who take part in the study. These may affect the results of an experiment that uses an independent groups design
Standarised procedures
A set order of carrying out a study that is applied to all participants when necessary
Random allocation
A procedure for putting participants in to conditions by chance
Counterbalancing
A procedure for evening out the order in which participants complete both conditions of an experiment
Extraneous variable
A variable that is not the IV but might affect the DV if it's not controlled
Control
Making sure procedures are the same when necessary. Not controlling procedures leads to the possibility of extraneous variables occurring and confounding the results
Instructions
The written information given to the participants during the experiment
Randomisation
Using chance to produce an order for a procedure
Ecological Validity
The results of the investigation can be said to apply to real-life behaviour. They are an accurate account of behaviour in the real world
Objectivity
Not affected by personal biases
Sample
The small group of people who represent the target population and who are studied
Target population
The large group of people the researcher wishes to study
Representative
The sample of participants is made up of people who have the same characteristics and abilities as the target population
Generalised (RM)
The results from the sample can be said to apply the target population
Random sample
Every member of the target population has an equal chance of being selected for the sample
Opportunity sample
People who are members of the target population and are available and willing to take part
Systematic sample
Every 'nth' member of the target population is selected for the sample
Stratified sample
To obtain this type of sample, the different subgroups in the target population is selected for the population are identified; then people are randomly selected from these subgroups in proportion to their numbers in the target population
Raw data
The scores collected in a study that have not been analysed or summarised
Anomalous result
An extremely high or low result that does not match the other result in a set of scores
Ethical issues
Point of concern about what is morally right