Paper 2- Research methods Flashcards
Paper 2 topic however relevant in all topics 84 marks for this section
Define Aim
A precise statement of why a study is taking place. This should contain what is being studied and what the study is expected to achieve
Define a hypothesis
A hypothesis is a precise and testable statement that predicts what will happen in the study being conducted.
Define an experimental hypothesis
An experimental hypothesis is a hypothesis used in the context of an experiment which predicts a difference or expected relationship between two variables will be seen in the research findings
Define a null hypothesis and give an example
A null hypothesis is a hypothesis that states there will be no difference or no relationship between the variables being investigated.
‘There will be no difference in the number of digits recalled by participants who read digits aloud compared to participants who read digits sub-vocally’
Define a Directional hypothesis and give an example
A directional hypothesis specifically predicts the direction to the results, this is used when there is previous research
‘Participants who read digits aloud will recall a greater number of digits compared to participants who read digits sub-vocally’
Define a Non directional hypothesis and give an example
A non-directional hypothesis states that there will be a difference or relationship between variables but it does not indicate the direction of the results
‘There will be a difference in the number of digits recalled by participants in the reading aloud condition compared to participants in the sub vocal audition
Define an independent variable (IV)
This is the thing which is manipulated in an experiment and which is assumed to have a direct affect on the dependent variable
Define a dependent variable (DV)
This is the variable which the researcher measures which is thought to be affected by the independent variable
Define what an extraneous variable
This is a general term for anything other than the IV which may have an effect on the DV. Uncontrolled extraneous variables may affect the reliability and validity of a study. Where possible, extraneous variables are controlled as this allows us to imply or infer cause and effect
Define an confounding variables
Confounding variables do change systemically with the IV 9e..g personality or natural ability of participants may have a direct influence on what are testing
Define a demand characteristics as an extraneous variables
Participants are likely to spend a lo to their time during research trying to figure out the new situation they are in. Demand characteristics are any uses from the research that may eb interpreted by the participants as revealing the purpose of the investigation. These may lead lead to participant reactivity for e.g.
the ‘halo/please-you effect’ - where participants act in the way they believe the researchers wants
the ‘screw you effect’ where the participants behaves in a way to deliberately sabotage the research
Define an investigator effects as an extraneous variables
These refer to any effect of the investigator’s behaviour that may influence the participants or the outcome of the researcher. Normally , investigator effect give away the aims of the study, and therefore may lead to the ‘please-you’ and the ‘screw-you’ effects
How can extraneous variables be controlled?
- Randomisation refers to the use of chance wherever possible to reduce the effects of bias e.g. when designing materials or allocating participants to the different conditions
- Standardisation refers to the fact, as far ass possible, all participants should be subject to the same formal research environment. Instructions and procedures should be the same for everyone. Standardisation helps to control for extraneous and confounding variables, demand characters and investigator effects
- Employ a single bind procedure. In a single blind procedure, the participant has no awareness of what is going on indifferent conditions.
- Employ a double bind procedure. In a double blind procedure, neither the participants nor the researchers are aware of the research aim or the different conditions
what are the four main types of experiment
Laboratory
Field
Natural
Quasi
Outline a Laboratory experiment
An experiment conducted in a highly controlled environment where extraneous variables can be controlled and cause and effect can be applied
The researcher manipulates an independent variable (IV) and measures a dependent variable (DV). Extraneous variables are controlled as much as possible and the experimental environment is standardised for everyone.
Evaluate Strengths and weakness of a Laboratory experiment
Positive - High internal validity because of the high levels of control and (normally) the random allocation of participants to each condition. In a Lab Experiment researchers have a high level of control over both the I.V and D.V and extraneous variables. Due to the random allocation of participants, participant variables are normally often controlled. This means we can imply cause and effect and can be sure that the change in the D.V is a direct effect of the I.V manipulation and not due to extraneous variables.
Positive - High reliability. Due to the high levels of control and standardisation, a lab experiment can be replicated exactly in the future. This means results can be verified in the future and reliability can be easily assessed.
Negative- Lab experiments are often artificial and lack ecological validity. This means that just because someone behaves in a particular way in an experiment it does not mean they will behave the same way in ‘real life’.
Negative - Demand characteristics and investigator effects are an issue. Due to the artificial nature, participants are often influenced by demand characteristics (real or imagined) and investigator effects. This means participants behaviour in the study is not likely to represent their natural behaviour. instead it will be
Outline a Field experiments
An experiment conducted in a natural environment and it can be applied to day to day life. The investigator can be manipulate the independent variable
The researcher still manipulates an independent variable and measures a dependent variable. However, the manipulation of the I.V is often done in a more natural way compared to in a Lab Experiment.
However, the researcher has less control over extraneous variables in a field experiment. Also, the research environment may NOT be standardized (kept the same) for all participants.
Evaluate Strengths and weakness of a Field experiment
Positive- Demand characteristics less of an issue and there is higher mundane realism. Due to the more natural environment of field experiments, participants are less aware that they are in an experiment so will be less likely to change their behaviour in response to demand characteristics This means the participants behaviour in the study is likely to represent their natural behaviour.
This also means Ecological validity is higher as it is likely that participants’ behaviour is more reflective of real life.
Negative- Issues with Internal validity. Due to the lower control in Field Experiments, extraneous variables are often not controlled and may therefore influence the D.V. This means it is more difficult to imply cause and effect and say conclusively that a D.V change is a direct effect of an I.V manipulation.
Negative- Low Reliability and difficult to replicate. As field experiments are conducted in a less controlled environment, they are often not as standardised. This makes it difficult to replicate the study exactly in the future.
Outline a natural experiment
An experiment where the experimenter cannot manipulate the independent variable therefore the dependent variable can be measured and can be judged as an effect of the IV
The researcher still measures a dependent variable but……the big difference is that the researcher does not manipulate the independent variables. This is done for them by a naturally occurring event (it is called a natural experiment because the I.V would have changed naturally even if the study was not taking place).
In addition, it is unlikely hat participants are randomly allocated across the different conditions. If possible, participants will be matched across conditions.
Evaluate Strengths and weakness of a natural experiment
Positive- The highest level of ecological and external validity. Natural experiments involve the study of real life issues as they happen This means results are very likely to reflect natural behaviour and therefore conclusions can be generalised beyond the research situation to other, real life situations
Positive- An Ethical way to investigate aspects that cannot be directly tested. Natural Experiments provide the opportunity to research aspects that would not be possible to study using other methods due to practical and/or ethical reasons. This method therefore increases the scope of acceptable psychological investigations.
Negative- Rare and very difficult to replicate (low reliability). Low population Validity. A naturally occurring event normally happens rarely, reducing the opportunities for research. This means we cannot verify findings and generalisation of results very difficult as we cannot be sure different people would behave in the same way.
Negative- Very low internal validity. It is often very difficult to control extraneous variables in natural experiments. This makes it very difficult to establish conclusive cause and effect so we cannot be sure the I.V has directly affected the D.V.
Outline a Quasi experiment
An experiment where a type of research method that uses a pre-existing naturally occurring IV to study the effect of a difference between people on the DV.
Participants are often NOT RANDOMLY ASSIGNED TO CONDITIONS, rather participants are MATCHED across conditions (e.g. in terms of age, etc) if at all possible. In a QUASI EXPERIMENT there is NO CONTROL CONDITION; rather there is a comparison condition.
What is a sample?
A sample is drawn from a target population and should be representative of that population.
What is a target population?
A Target Population is a SUBSET of the general population and is the particular group of people who you are interested in studying. If a sample is representative, we can then GENERALISE the results to the entire target population.
Outline give and example and evaluate a random sampling technique
A random sample is a sophisticated form of sampling in which all members of the target population have an equal chance of being selected. For example sample collected using a lottery method.
A strength of random sampling is that it is potentially unbiased . this means that confounding or extraneous variables should be equally divide between different groups
A weakness of random sampling is that it is difficult and often time consuming
Outline give and example and evaluate a systematic sampling technique
Systematic sampling is when the nth member of the target population is selected. A sampling frame is produced which is a list of people in the target population organised. An example is every 3rd house on a street
A strength of systematic sampling is that it is objective and once the system for selection has been established the researcher has no influence over who is chosen
A weakness of systematic sampling is that it is time consuming and that participants may refuse to take part resulting in a volunteer sample
Outline give and example and evaluate a stratified sample technique
It is a sophisticated form of sampling in which the composition of the sample reflects the proportion of people in certain subgroups with the target population to a wider population. An example is someone randomly being selected from a subgroup.
A strength of stratified sampling is that because it is designed to accurately reflect the composition of population the findings can be generalised
A weakness is that designing and implementing a stratified sampling plan can be more complex and time-consuming than a simple random sampling
Outline give and example and evaluate a opportunity sample technique
Many researchers simply decide to select anyone who happens to be willing and available. An example is a sample taking in the street
A strength of opportunity sample is that it is coinvent, this method is much less costly in terms of time and money target population is not required
A weakness of opportunity sample is that it can suffer from researcher bias which may affect the validity of the results
Outline give and example and evaluate volunteer sample technique
It is that participant selecting themselves ton be a part of a sample through self selection. For example putting a advert in a newspaper.
A strength of the volunteer sample is that is is easy and requires minimal input and is less time consuming.
A weakness of the volunteer sample is that it could lead to volunteer bias which may attract certain people make the results less generalisable
Outline, evaluate and list how to control a Repeated measures design
It is when some participants take part in all conditions of an experiment. The order of conditions should be counterbalanced to avoided order effects.
The advantages of this design is that Participants variable are CONTROLLED. This is an advantage because we can be sure that any difference found between the groups is a result of the IV manipulation and not differences between participants. Repeated measures design also more economical.
A weakness is that there will be ORDER EFFECTS can occur (e.g. participant performance can be affected by things like boredom, fatigue. Order effects are a confounding variable and mean we cannot be sure that any difference between conditions is a result of the IV
This can be controlled through counterbalancing which involves an attempt to control for the effects in a repeated measured design half the participants will experience one conditions in one order and the others in another order