Research Methods - The Scientific Process Flashcards
Aim
A precise statement about the purpose of the study and what it intends to find out. The aim should include what is being studied and what the study is trying to achieve.
Hypothesis
A specific, testable statement about the expected outcome of a study. Should also be operationalised.
First part of a hypothesis that needs addressing is whether or not the study predicts causation or correlation.
Correlation
The researcher predicts a relationship between the two variables being investigated.
Causation
The researcher predicts a difference in the DV because of manipulation of an IV.
Significant differences
Differences in the DV resulting from manipulation of the IV are known as significant differences if it has been statistically shown using inferential statistics that the differences are highly unlikely to be due to chance.
Null hypothesis
This states that the IV will have no effect on the DV
Alternative hypothesis
This predicts that the IV will have an effect on the DV.
Alternative hypothesis falls in one of two categories
Non-directional hypothesis - This does NOT state the direction of the predicted differences between conditions
Directional hypothesis - This does state the direction of the predicted differences between conditions
How to decide whether to use directional or non-directional
If there is previous research in the field, use directional as the research will enable us to predict which direction the results are likely to go in
If there is no previous research, use non-directional
What to remember when writing a hypothesis
- Is it a test of causation or correlation?
- Is it a null, non-directional or directional hypothesis?
- Is it in the correct tense?
- Have all the variables been included?
- Have all the variables been operationalised?
Pilot studies
Small scale investigations conducted before research.
They are useful because they can help to identify whether there needs to be any modifications in the design of the planned study. They also help determine whether it would be feasible and worthwhile to conduct a full-scale study.
Sampling techniques
- Random
- Systematic
- Stratified
- Opportunity
- Volunteer
Random sampling
- likely to be representative so results can be generalised to target population
- sometimes difficult to get full details of a target population from which to select a sample, and not all members of the target population who are selected will be willing and able to take part, making the sample unrepresentative
Systematic sampling
- Far simpler than random sampling
- Process of selection can interact with a hidden periodic trait in the target population. If the sampling technique coincides with the periodicity of the trait, the sample can become unrepresentative.
Stratified sampling
-All groups in a target population are included so the sample should be representative
- Can be very time consuming as the categories have to be identified and calculated
Opportunity sampling
- Easiest and most practical
- High chance sample will not be representative, sometimes people may feel obliged to take part even when they don’t want to.
Volunteer sampling
- Can be a useful way of finding specific people to take part in particular areas of research
- A certain type of person tends to volunteer for research and this means that there is a high chance that the sample will be unrepresentative
Experimental designs
How the participants are assigned to different conditions.
3 main types :
- independent groups
- repeated measures
- matched pairs
Order effects
When the sequence in which participants take part in conditions influences their performance or behaviour.
Independent groups
Different participants are used in each condition. Participants are usually randomly allocated.
Advantages of independent groups
- order effects will not occur as there are different participants in each condition
- the chance of demand characteristics is reduced as pps do only one condition each and have less chance to guess purpose of study
- the same task/materials can be used in both conditions as pps are always naïve to the task
Disadvantages of independent groups
- more pps are needed for this experimental design
- there is always a chance that the different results between the two conditions are due to participant variables rather than manipulation of the IV
Repeated measures
Each participant is tested in all condition of the experiment
Advantages of repeated measures
- no participant variables
- half as many people are needed compared to an independent groups design