A general statement that the observed variables will have no impact as there is no relationship between them
Alternative hypothesis
A prediction that one variable will affect the other
Formulating hypotheses
1. Operationalise the independent variable and dependent variable
2. Form a suitable alternative hypothesis
3. Form a null hypothesis
Independent variable (IV)
What researchers manipulate in order to test its effect on the dependent variable
Dependent variable (DV)
The outcome or effect we are measuring within the study
Extraneous variable
A third variable that may unknowingly be affecting the outcome of the study (the DV)
Sampling methods
Random sampling
Opportunity sampling
Systematic sampling
Stratified sampling
Random sampling
All members of the target population have an equal chance of being selected
Reduces investigator effects
Opportunity sampling
Fastest and easiest way to gather participants
Greater chance of being biased
Systematic sampling
Simple way to gather participants
Little risk of research bias
Stratified sampling
Very representative of the target population
Time-consuming to execute
Volunteer sampling
People that have volunteered to take part in the study
Volunteer sampling
Participants should be willing to give informed consent
Volunteers may be a biased sample
Experimental designs
Independent group design
Repeated measures design
Matched pairs design
Independent group design
Participants divided into two subgroups, one exposed to the IV, one control group
No order effects
Differences between groups in an independent group design may be due to participant variables rather than the IV
Demand characteristics
Behaviour displayed by participants that is different in response to the purpose of the study, which can invalidate findings
Independent group designs
Participants are only exposed to one condition and they don't have the opportunity to learn or adjust their behaviour in another condition (as they cannot compare)
Repeated measures design
All the gathered participants of the study being exposed to both conditions of the experiment
Matched pairs design
Gathering participants and testing them prior to the study on certain characteristics to match them in pairs with someone similar
Laboratory experiments
Experiments conducted in a controlled setting, usually a research laboratory where participants are aware of being observed and part of a study
Field experiments
Conducted in a more natural or everyday environment, unlike the laboratory experiment where the behaviour being measured is more likely to occur
Natural experiments
Conducted when ethical or practical reasons to manipulate an independent variable are not possible, so the IV occurs 'naturally'
Structured interviews
All participants are asked the same pre-set questions in the same order, with the researcher unable to ask additional questions
Unstructured interviews
Participants are free to discuss anything freely, with the interviewer devising new questions as the interview progresses
Questionnaires
Used to collect large amounts of information from a target group, with respondents answering the same pre-set questions
Questionnaires
Practical ways for researchers to gather large amounts of information very quickly on topics where the responses are best suited for yes or no responses
Questionnaires
They can be replicated very easily as all the questions are pre-set
Responses can be gathered again to check for reliability and validity
Problems with questionnaires
Questions can be unclear or suggest/lead respondents into a desirable response
Responses can be affected by social desirability bias so participants may not answer truthfully
Respondents can only answer yes or no which limits the amount of information that can be gathered
Respondents may misunderstand the meaning of questions and answer incorrectly
Case study
A very detailed study of the life and background of either one person, a small group of people or an institution or an event
Strengths of case studies
They provide detailed information about individuals (or target group/institution) rather than collecting a score on a metric test
They collect information over a long period of time so changes in behaviour can be observed and comparisons are drawn
Weaknesses of case studies
They target a single individual making it difficult to generalise the findings to others
The data collected is very subjective and relies on people's perceptions and memories
The researcher may project their own biases onto the findings
There can be ethical concerns about informed consent
Observational study
The researcher watches or listens to the participants engaging in whatever behaviour is being studied and records their behaviour
Strengths of observational studies
They are high in ecological validity and suitable for social behaviours as they allow researchers to gauge people's true responses
The behaviours observed have higher external validity as they can be more easily generalised
Weaknesses of observational studies
Researchers do not know why the behaviour happened, requiring them to make judgements which may be biased
Participants may change their behaviour when aware of being observed
Researchers may make mistakes recording the behaviour
Ethical issues around informed consent
Behavioural categories
Systems used to make sure accurate records of behaviour are made
Inter-observer reliability
When two observers independently observe the same targets and compare their record sheets to check for consistency
Correlation
A relationship between two variables
Types of correlations
Positive correlation
Negative correlation
Zero correlation
Positive correlation
One variable has a direct impact on the other, they increase together