Research Methods Flashcards
Experimental Method
The manipulation of the IV to measure the effect on the DV in an experiment.
Aim
A general statement of what the researcher intends to investigate. The purpose of the study.
Hypothesis
A testable statement stated before a study begins that states the relationship between the variables to be investigated.
Directional Hypothesis
A hypothesis that states the direction of the relationship between the variables. Is used when the object of the study has been studied before.
Non-directional Hypothesis
A hypothesis that does not state the direction. Is used when the object of the study has not been studied before.
Variables
An object, person or state that can change or vary within an investigation. Variables are used to determine if change on a variable effects change on another variable.
Independent Variable
A variable of the experiment that is manipulated by the researcher or changes naturally, independently of the other variables, to measure the effect on the DV.
Dependent Variable
Variable that is measured by the researcher. Expected to be effected by the IV.
Operationalisation
Process of clearly defining variables in terms of how they can be measured.
Extraneous Variables
“Nuisance” variables that the researcher is not interested in investigating but could have an effect on the DV if not controlled.. Gets in the way of measuring the IV’s effect on the DV.
Confounding variables
Variables other than the IV that can affect the DV. Makes it unclear whether the source of change came only from the IV.
Demand Characteristics
Cues from the researcher or situation that the participant interprets as revealing the aim of the investigation. Can lead to conscious or unconscious change in the participant’s behaviour.
Investigator Effects
Effect of the researcher’s unconscious or conscious behaviour on the DV and thus research outcome.
Randomisation
Using chance to eliminate the possibility of bias when making decisions for the experiments design.
Standardisation
The use of the same formalised procedures and instructions for all participants within a study to decrease the possibility of extraneous variables
Experimental Design
The different ways in which the testing of participants can be organised in relation to the experimental conditions.
Independent Groups Design
Participants are allocated to different groups where each group represents one experiment condition
Repeated Measures
All participants take part in all conditions of the experiment.
Matched Pairs Design
Pairs of participants are matched on some variable that may affect the DV. One member is then assigned to one experimental condition and the other to another condition.
Random Allocation
The use of chance to control for participant variables in an independent groups design. Ensures each participant has the same chance of being in one condition as any other.
Counterbalancing
The use of splitting the participants experience in half to control for the effects of order in a repeated measure. Half experience the conditions in one order and the other half in the opposite or a different order.
Laboratory Experiment
An experiment taking place in a controlled environment. The researcher manipulates the IV and records the effect on the DV. Maintains strict control of extraneous variables.
Field Experiment
An experiment taking place in a natural setting. The researcher manipulates the IV and records the effects on the DV.
Natural Experiment
An experiment where the IV is not manipulated by the researcher as the change occurs naturally. The researcher records the effect on the DV.
Quasi-Experiment
A study that is almost an experiment but lacks specification of what the IV is. The variables exist on their own and are observed. Technically not an experiment.
Population
A group of people who will be the focus of the research and from which a sample will be picked from.
Sample
A group of people who take part in a research investigation. Samples are drawn from a population and presumed to be representative of that population.
Sampling Techniques
The method used to select people from that population
Stratified Sample
When the composition of the sample reflects the proportions of people in certain sub-groups within the target population or whole population.
Opportunity Sample
When researchers decide to select anyone who happens to be willing and available.