Statements about the prediction of the results, that can be verified or disproved by some investigation
Types of hypotheses
Null Hypotheses (H0)
Alternative Hypotheses (Ha or H1)
One-tailed (directional) hypotheses
Two-tailed (non-directional) hypotheses
Null Hypotheses (H0)
Predict that no difference will be found in the results between the conditions
Alternative Hypotheses (Ha or H1)
Predict that there will be a significant difference in the results between the two conditions
One-tailed (directional) hypotheses
State the specific direction the researcher expects the results to move in, e.g. higher, lower, more, less
Two-tailed (non-directional) hypotheses
State that a difference will be found between the conditions of the independent variable but does not state the direction of a difference or relationship
All research has an alternative hypothesis (either a one-tailed or two-tailed) and a corresponding null hypothesis
Once the research is conducted and results are found, psychologists must accept one hypothesis and reject the other
Sampling
The process of selecting a representative group from the population under study
Sampling techniques
Volunteer sample
Opportunity sampling
Random sampling
Systematic sampling
Stratified sampling
Snowball sampling
Quota sampling
Representative
The extent to which a sample mirrors a researcher's target population and reflects its characteristics
Generalisability
The extent to which their findings can be applied to the larger population of which their sample was a part
Independent variable
The one the experimenter manipulates (the thing that changes between the conditions the participants are placed into)
Dependent variable
The thing being measured, or the results of the experiment
Operationalization of variables
Making them measurable/quantifiable
Extraneous variables
All variables which are not independent variable but could affect the results of the experiment
Demand characteristics
A type of extraneous variable that occurs if the participants work out the aims of the research study, they may begin to behave in a certain way
Extraneous variables must be controlled so that they do not affect (confound) the results
Experimental design
How participants are allocated to each condition of the independent variable, such as a control or experimental group
Experimental designs
Independent design (between-groups design)
Matched participants design
Repeated measures design (within groups)
Counterbalancing
The best way of preventing order effects from disrupting the findings of an experiment, and involves ensuring that each condition is equally likely to be used first and second by the participants
Experimental methods
Lab Experiments
Field experiments
Natural experiments
Case studies
In-depth investigations of a person, group, event, or community
Case studies provide rich qualitative data and have high levels of ecological validity. However, it is difficult to generalize from individual cases as each one has unique characteristics
Correlation
Means association; it is a measure of the extent to which two variables are related
Types of correlation
Positive correlation
Negative correlation
Zero correlation
Correlation does not always prove causation, as a third variable may be involved
Interview methods
Structured interviews
Unstructured interviews
Structured interviews
Formal, with a fixed, predetermined set of questions put to every participant in the same order and in the same way
Unstructured interviews
Informal, with no set questions, and the participant can raise whatever topics they feel are relevant
Questionnaire types
Open questions
Closed questions
Postal questionnaires
Offer the opportunity of getting around the problem of interview bias by reducing the personal involvement of the researcher
Observation methods
Covert observation
Overt observation
Controlled
Natural
Participant
Non-participant
Questionnaire Method
Questionnaires can be thought of as a kind of written interview. They can be carried out face to face, by telephone, or post.
Questionnaire design
The choice of questions is important because of the need to avoid bias or ambiguity in the questions, 'leading' the respondent or causing offense.
Open questions
Designed to encourage a full, meaningful answer using the subject's own knowledge and feelings. They provide insights into feelings, opinions, and understanding.
Closed questions
Can be answered with a simple "yes" or "no" or specific information, limiting the depth of response. They are useful for gathering specific facts or confirming details.
Postal questionnaires
Offer the opportunity of getting around the problem of interview bias by reducing the personal involvement of the researcher. Its other practical advantages are that it is cheaper than face-to-face interviews and can be used to contact many respondents scattered over a wide area relatively quickly.
Types of observation methods
Covert observation
Overt observation
Controlled
Natural
Participant
Non-participant (aka "fly on the wall")
Covert observation
Where the researcher doesn't tell the participants they are being observed until after the study is complete. There could be ethical problems or deception and consent with this particular observation method.