Research Methods - Scientific processes Flashcards
(91 cards)
What is an aim of a study?
The aim of a study is what the purpose is of a piece of research. For example- to investigate if age affects memory.
What is a hypothesis?
The prediction of what the results will be.
This can be directional, in which the expected effect of a variable is stated, or non-directional, where a difference is predicted, but not the nature of the difference.
What is a null hypothesis?
Predicts that there will be no difference between the conditions.
For example ‘there will be no difference between young and older people in performance on a memory test’.
What is the independent variable?
The variable manipulated or changed by the researcher
What is the dependent variable?
The variable that is being measured or tested in an experiment
What does operationalising variables mean?
When a variable is defined by the researcher and a way of measuring that variable is developed for the research.
For example, ‘Age’ (the IV) could be operationalised as ‘participants between 20 and 25 years of age and participants between 60 and 65 years of age’.
‘Memory ability’ (the DV) could be operationalised as ‘the score on a test of memory’ or ‘the number of words successfully recalled’.
What are extraneous variables?
Variables other than the IV which may have an effect on the DV if not controlled for.
For example, in the memory experiment, the intelligence and motivation levels of the participants may have an impact on their score on the memory test. The researcher should take steps to minimise the impact of these, for example by giving participants an IQ test beforehand and eliminating any particularly high or low scores from the sample.
What are confounding variables?
Variables other than the IV that have (or almost certainly have) had an effect on the DV. We know they have had an effect because they vary systematically with the IV.
For example, in the memory experiment, if all of the young participants are given the memory test at 9am, and all of the older participants are given the test at 7pm, the time of day has acted as a confounding variable, as it has varied systematically with the IV. Therefore, any difference in the results of the two groups may be due to the difference in time of day, rather than the difference in age. The effect of this can be reduced or eliminated by testing both age groups at the same time of day.
What are demand charachteristics?
These are clues which participants respond to when in an experimental situation, in which they try to guess the aim or intended outcome of a study and therefore change their behaviour accordingly.
They are a form of participant reactivity (people not behaving naturally as they know they are being studied). The effect of these can be reduced by not revealing the aim of the study to the participants, or by using an independent measures design, so that participants only take part in one of the experimental conditions.
For example, if participants are told the aim of the memory study, the young participants may try really hard on the memory test, as they may guess that this is the predicted outcome of the study. They act in ways that they think will please the experimenter. Alternatively, the older participants may try really hard on the test in order to prove the prediction wrong. Either way, the participants do not act naturally, so reducing the validity (correctness) of the results.
What are experimenter effects?
These are any unwanted influences that the investigator/experimenter communicates to the participants which affects their behaviour. For example, being more encouraging towards the young participants in the memory test, as this is the expected result. These can be minimised by the use of standardised instructions, or the double-blind procedure.
What is randomisation?
This is a way of controlling for the effects of extraneous/confounding variables. Allocating participants to tasks, selecting samples of participants, and so on, should be left to chance as far as possible, to reduce the investigator’s influence on a study.
What is standardisation?
This is where the experience of an experiment is (as far as possible) kept identical for every participant, for example using standardised instructions. This reduces the effect of extraneous/confounding variables.
What is a single vs double-blind procedure?
The single-blind procedure is when the participant does not know the aim of the study. This helps reduce the possibility of demand characteristics from affecting the results.
Double-blind is when the investigator who deals with the participants also does not know the aim of the study. This helps reduce the chance of investigator effects, as the investigator will not unconsciously communicate the aim to the participants.
What are control groups?
These are used for the purpose of comparison, often when testing the effects of a drug, for example.
One group of participants (the ‘experimental group’) will be given the real drug, another group a placebo (fake drug).
This can allow the researcher to directly compare the results of the two groups. If the experimental group improves then it is likely that this is because of the drug.
What is the population in a study?
The population is the target group of people the researcher is studying (e.g. ‘males in their 20s’).
What is the sample in a study?
The sample is the group of people selected to take part in the study, drawn from the target population.
What is a random sample?
Each member of the target population has an equal chance of being selected. For example, using a random name or number generator, or picking names out of a hat.
Advantages of random sampling
It is widely accepted that since each member has the same probability of being selected, there is a reasonable chance of achieving a representative sample.
Disadvantages of random sampling
Small minority groups within your target group may distort results, even with a random sampling technique.
It can be impractical (or not possible) to use a completely random technique, e.g. the target group may be too large to assign numbers to.
What is systematic sampling?
A participant is selected in a systematic way, for example, selecting every 10th person from the electoral roll. This is decided through a sampling frame, where a list of the target population is put in order.
Advantages of systematic sampling
Assuming the list order has been randomised, this method offers an unbiased chance of gaining a representative sample.
Disadvantages of systematic sampling
If the list has been assembled in any other way, bias may be present. For example if every fourth person in the list was male, you would have only males in your sample.
What is a stratified sample?
The make-up of the sample reflects the make-up of the target population. For example, if studying teachers, as there are more female than male teachers, there should be more female participants. If 60% of teachers are female, this means that in a sample of 20, there should be 12 female and 8 male teachers. Once these quotas are identified, the participants to fill them are selected at random from the target population.
Advantages of stratified sampling
- Random techniques are used, so the researcher can’t influence the selection.
- The sample produced is representative of the target population, as it has been designed to be so.