Research Methods Flashcards
(58 cards)
What is Aims?
Developed from theories and are general statements that describe the purpose of an investigation.
What is a hypothesis
A testable statement which predicts the outcome at the start of a study
What is a directional hypothesis?
Identifies the direction of difference between two conditions.
What is a non-directional hypothesis?
States a difference between conditions but the nature of the difference is not made clear.
When would you use a non-directional hypothesis?
Non-directional hypothesis when there is no previous research, or previous studies are contradictory.
What is operationalisation?
Variables being investigated should be clearly defined and measurable.
What are extraneous variables?
‘Nuisance’ variables that do not vary systematically with the IV and can often be controlled before the experiment begins.
What are confounding variables?
Variables that do vary systematically with the IV so we cannot be sure what caused the change in the DV.
What are demand characteristics?
Participants interpret cues from the experimenter (investigator effects) and research situation. They may change their behaviour as a result.
What is standardisation?
Making sure that all participants are subject to the same instructions and experience.
What is the independent group designs?
Participants are allocated to different groups where each group represents one experimental condition.
What are repeated measures?
All participants take part in all conditions of the experiment
What is the matched pairs design?
Pairs of participants are the first matched on some variables that may affect the DV. Then one member of the pair is assigned to condition A and the other condition B.
What is random allocation?
An attempt to control for participant variables in an independent group design which ensures that each participant had the same chance of being in once condition as any other.
What is counterbalancing?
An attempt to control for the effects of order in a repeated measures design.
Half the participants experience the conditions in one order, and the other half in the opposite order.
What is a laboratory experiment?
An experiment that takes place in a controlled environment within which the researcher manipulates the IV and records the effect on the DV, whilst maintaining strict control of extraneous variables.
What is a field experiment?
An experiment that takes place in a natural setting within which the researcher manipulates the IV and records the effect on the DV.
What is a natural experiment?
An experiment where the change in the Iv is not brought about by the researcher but would have happened even if the researcher had not been there. The researcher records the effect on the DV.
What is a quasi-experiment?
A study that is almost an experiment but lacks key ingredients. The IV had not been determined by anyone (the researcher or any other person) - the ‘variables’ simply exist, such as being old or young. Strictly speaking this is not an experiment.
What is population?
A group of people who are the focus of the researcher’s interest, from which a smaller sample is drawn.
What is a sample?
A group of people who take part in a research investigation. The sample is drawn from a target population and is presumed to be representative of that population.
What is bias in the context of sampling?
When certain groups may be over or under-represented within the sample selected.
What is generalisation?
The extent to which findings and conclusions from a particular investigation can be applied to the population.
What is stratified sampling?
A stratified sample is a sophisticated form of sampling in which the composition of the sample reflects the proportions of people in certain sub-groups (strata) within the target population or the wider population.
To carry out a stratified sample the researcher first identifies the different strata that make up the population. Then, the proportions needed for the sample to be representative are worked out. Finally, the participants that make up each stratum are selected using random sampling. For example, let’s say in Manchester, 40% of people support Manchester United, 40% support Manchester City, 15% support Bolton and 5% support Leeds. In a stratified sample of 20 participants there would be eight United fans, eight City, three Bolton fans and one solitary Leeds supporter. Each of these would be randomly selected from the larger group of fans of their team, e.g. Bolton fans selected from Bolton supporters, if there are enough.