Research Methods Lessons 6-10 Flashcards
What is a target population?
This describes the group who researchers are studying and want to generalise their results to
Sampling techniques are used to obtain a sample of the target population and are essential to avoid studying entire populations, which would take too long and be too expensive
What is a sample?
A sample should be representative of the population from which it is drawn and should therefore have the same characteristics as the population.
What is random sampling
Random sampling is when every member of the target population has the same chance of being selected.
The easiest way to do this is to place all names from the target population in a hat e.g. 100 possible participants. We then select our sample, e.g. the first 20 participants’ names that are drawn from the hat.
What are the advantages and disadvantages of random sampling
advantages:
1) If the target population is large and a large sample is drawn, then it is likely the sample will be representative and therefore results can be generalised from the sample to the target population.
2) There is no researcher bias when selecting the sample, this is because the sample have been chosen by chance without any conscious choice from the researcher. Everyone has an equal chance of being selected.
Disadvantages:
1) It is sometimes difficult to get full details of a target population from which to select a sample.
2) Not all members of the target population who are selected to take part will be available or willing to take part, making the sample unrepresentative. Some people might refuse to take part in a study. This could reduce your sample size dramatically too.
What is Systematic sampling
Systematic sampling is a sampling strategy where participants are selected by taking every Nth person from a list.
What are the advantages and disadvantages of systematic sampling
Advantages:
1) Systematic sampling is far simpler than random sampling as it only requires a list of the target population, and then the researcher decides to select every nth person. Random sampling requires a lot more time and effort
Disadvantages:
1) The process of selection can interact with a hidden periodic trait within the population. If the sampling technique coincides with the periodicity of the trait, the sampling technique will no longer be representative.
2) Not all members of the target population who are selected to take part will be available or willing to take part, making the sample unrepresentative. Some people might refuse to take part in a study. This could reduce your sample size dramatically too.
What is stratified sampling
Stratified sampling involves classifying the population into categories and then randomly choosing a sample which consists of participants from each category in the same proportions as they are in the population.
The population are divided into strata in terms of characteristics. A sample is then selected that reflects these characteristic.
Data about the sample in the UK can be gained from the Census.
Stratified samples can ensure that the sample is representative.
What are the advantages and disadvantages of stratified sampling
Advantage:
1) The strength of stratified sampling is that all groups within a population are included, therefore the sample should be representative of the population.
Disadvantage:
1) Stratified sampling can be very time consuming as the categories have to be identified and calculated. If you do not have details of all the people in your target population or the relevant strata, you would struggle to conduct a stratified sample.
What is opportunity sampling
Opportunity sampling involves selecting participants who are readily available and willing to take part.
This is sometimes known as convenience sampling. This involves selecting participants simply because it is convenient to do so.
What are advantages and disadvantages of opportunity sampling?
Advantage:
1) This is the easiest and most practical method of ensuring large samples especially when compared to stratified sampling which might be very time consuming and expensive to carry out.
Disadvantage:
1) There is a high chance that the sample will not be representative of the target population. Sometimes people feel obliged to take part in research (especially if someone they know is conducting the research) even when they do not want to, which is unethical.
What is volunteer sampling
Volunteer sampling involves people volunteering to participate in a study. The researcher will usually advertise for people to take part in their research. It allows people to take notice of the information and can then decide if they would like to take part in the research.
What are advantages and disadvantages of volunteer sampling?
Advantage:
1) This method saves the research time and effort. The researcher needs to construct some kind of advertisement for the study and then just needs to wait for the participants to come to them to volunteer their time and involvement. This is better than other sampling methods where the researcher needs to ask people to take part and needs their full commitment.
Disadvantage:
1) A certain type of person tends to volunteer (interested in your topic) and this means that there is a very high chance that the sample obtained will be unrepresentative and will not accurately reflect the target population (volunteer bias).
What are pilot studies?
pilot study is an initial run-through of the procedures to be used in an investigation; it involves selecting a few people and trying out the study on them. It is possible to save time, and in some cases, money, by identifying any flaws in the procedures designed by the researcher.
A pilot study can help the researcher spot any ambiguities or confusion in the information given to participants or problems with the task devised.
Sometimes the task is too hard, and the researcher may get a floor effect, because none of the participants can score at all or can complete the task – all performances are low. The opposite effect is a ceiling effect, when the task is so easy that all achieve virtually full marks or top performances and are “hitting the ceiling”.
When using self-report measures it is important to check as part of the pilot study:
The participants understand the questions and are prepared to answer them
That closed questions offer suitable options
Whether open questions are also needed to elicit unpredictable responses
Whether the reporting method is appropriate, e.g. if a face-to-face interview is too intimidating should it be changed to a questionnaire?
In observations it is important to check:
Observers agree on operational definitions of behavioural categories
Inter-observer reliability
The behavioural categories include all the important behaviours
The behavioural categories do not overlap
Whether the participants are affected by the observers – should they be covert?
What are the advantages and disadvantages of doing a pilot study ?
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What are experimental designs and give 3 examples
how the participants are organized within the experiment.
There are three main types of experimental designs:
Independent groups
Repeated measures and
Matched pairs.
What is experimental treatment!
This involves a group of people who are exposed to the independent variable
What is a control group?
This group receives no treatment and are used as a base line level to compare results against
What is randomisation?
The use of chance in order to control for the effects of bias deciding the order of conditions.
This is especially important if you are using a repeated measures design and the same participants are taking part in two different conditions.
What is standardisation
Using exactly the same formalised procedures and instructions for all participants in a research study – this improves the reliability of the study
What is random allocation?
An attempt to control for participant variables in an independent groups design which ensures that each participant has the same chance of being in one condition or the other
What is an independent groups design?
In this design, different participants are used in each of the conditions. Therefore each group of participants are independent from one another.
Participants are usually randomly allocated to each condition to balance out any individual differences.
What are advantages and disadvantages of independent groups design?
Advantages:
1) Order effects will not occur as there are different participants in each condition. Order effects are when the sequence in which participants take part in conditions influences their performance or behaviour. Participants may also get tired or bored when being asked to take part in more than one condition.
2) The chance of demand characteristics is reduced as participants take part in only one condition each and so have less chance to guess the aim of the study which could affect their behavior and the data collected.
3) Participants are not lost between conditions because they only take part in one condition and then leave the study. However in a repeated measures design where participants are used for two conditions, there is a higher risk of participants being lost between conditions.
Disadvantages:
1) More participants are needed for this experimental design compared to a repeated measures design. In an independent groups design there are usually 2 experimental conditions with different participants in each group
2) There is always a chance that the different results gained between the two conditions are due to individual differences rather than manipulation of the independent variable. This is because two separate groups of people are used and they might be very different.
What is a repeated measures design
In the repeated measures design each participant is tested in all conditions of the experiment
What are the advantages and disadvantages of a repeated measures design
Advantages:
1) As the same people are used in all of the conditions, there are no individual differences between the conditions. Therefore the study is more valid as we are really only measuring the effect of the IV on the DV.
2) Half as many participants are needed in this design compared to an independent groups design. This is because one group of participants are used in condition 1 and again in condition 2. However an independent groups design would need 20 participants in condition 1 and 20 participants for condition 2.
Disadvantages:
1) Order effects may affect the results. One way to avoid order effects is counterbalancing, this is when half the participants do condition A first and then condition B second and the other half of the participants do condition B first and condition A second. Changing the order of the tasks helps to reduce order effects and negative impacts on data collection.
2) Demand characteristics are more likely to occur using repeated measures design as participants are involved in the entire study and take part in two conditions. They might guess the aim of the study and therefore this might affect their behavior and the data collected.