Psychology - Research Methods

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  • Created by: Jodiec53
  • Created on: 04-03-19 16:18
Experimental Method
A method which uses random allocation of participants and the manipulation of variables to determine cause and effect on dependent variables.
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Independent Variable (IV)
The factor manipulated by a researcher in an investigation
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Dependent Variables (DV)
The factor measured by researchers in an investigation
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Operationalisation
The process of defining variables into measurable factors
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Extraneous Variables
Variables other than the IV that can affect the DV. They should be identified and controlled prior to an investigation. There are two types; participant and situational.
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Participant Variables
Differences between people which could affect how they perform in a study e.g. age and IQ
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Situational Variables
Differences in the environment which can affect how people behave e.g. temperature and noise
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Confounding Variables
Uncontrolled extraneous variables that negatively affect the DV and therefore the results
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Demand Characteristics
Features of a piece of research which allow the participants to work out its aim and/or its hypotheses
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“Screw-you” effect
A demand characteristic where participants change their behaviour to frustrate the aim of the researchers
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“Please-me” effect
A demand characteristic where participants change their behaviour to help the researcher to achieve their aims
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Investigator Effects
A research effect where researcher features influence participants responses e.g. the researchers age, gender and attractiveness
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Laboratory experiment
An experiment conducted in a controlled environment, allowing the researcher to establish cause and effect.
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Field Experiment
Experiment conducted in a naturalistic environment where the researchers manipulate the IV
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Natural experiment
Experiment where the IV occurs naturally e.g. mental illness
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Quasi experiment
Experiment where the researcher is unable to freely manipulate the IV or to randomly allocate the participants to different conditions e.g. male/female
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Ecological Validity
Whether or not the findings of a study can be applied to explain the behaviour being studied in real life situations.
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Participant Observation
Where the researcher is actively involved in the group being observed
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Non-Participant observation
Researchers remain detached from the group being observed.
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Overt observation
When participants know their behaviour is being watched
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Covert observation
When participants do not know they are being watched
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Naturalistic observation
When participants do not know they are being watched
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Behavioural categories
Dividing target behaviours into subsets through the use of coding systems e.g. aggression into hit, punch, slap
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Observer bias
Observers see what they want or expect to see
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Replication
We need to be able to replicate studies to check if we can get the same findings, if they are reliable.
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Sample bias
When participants are not randomly allocated to conditions there could be participant variables which affect the results.
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Event sampling
Counting the number of times an event/behaviour is shown by an individual
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Time sampling
Counting behaviours in a set time frame
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Inter-rater reliability
More than one observer so results can be compared to check they are coding in the same way
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Pilot study
A practice study to check conditions, coding or questions
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Self-report technique
Participants give information about themselves without researcher interference
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Questionnaires
Self-report method where participants record their on answers to a pre-set list of questions
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Closed questions
Fixed responses e.g. yes/no. They are easy to analyse but lack detail
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Open questions
Participants can answer in their own words, they are hard to analyse but good for detail.
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Quantitative data
Data in the form of numbers which is easy to collate and analyse but can lack a lot of depth and detail.
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Qualitative data
Date in the form of words which is descriptive and full of detail but it is hard to collect and analyse
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Socially desirable responses
Participants may lie to give answers which they believe are more socially acceptable
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Measurement scale
Statements where participants give a level of agreement. Likert scale
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Interviews
A self report method where participants answer questions in face to face situations
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Structured interview
A pre-set list of questions, no training required
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Unstructured interview
It will follow a theme but questions are not set so issues can be clarified, explained and explored. A lot of training is needed
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Semi-structured interview
A combination of structured and unstructured questions giving both quantitative and qualitative data
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Correlational studies
A research method which looks at the relationship between co-variables
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Co-variables
The variables being studied in a correlational analysis
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Positive correlation
As one variable increases, so does the other
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Negative correlation
As one variable increases, the other decreases
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Case study
An in-depth investigation into an individual or small group
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Experimental hypothesis
Predicts that an IV will have an effect on a DV
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Alternative hypothesis
Predicts that one variable will affect another in studies which are not using the experimental method
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Null hypothesis
Predicts that there will be no difference or no relationships between variables in a study
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Directional (one tailed) hypothesis
Predicts the direction of results
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Non-directional (two tailed) hypothesis
Says there will be a difference but does not say which way it will happen
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Aim
A precise statement which outlines why a study is taking place
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Sampling
The process by which a group of participants is chosen to represent the target population
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Target population
The particular group of people who are of interest during an investigation
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Random sampling
Where every member of the target population has an equal chance of being selected
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Representative
A sample which has all elements of the target population included which means that you can generalise the results
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Generalise
Applying the results of a study to the rest of the target population in real life
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Opportunity sampling
Where the researcher uses members of the target population who are willing and available
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Pilot study
Small scale practical investigation done before the main study to check for any problems with the method
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Independent groups
An experimental design which uses different participants for each of the different conditions within the experiment
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Order effects
Where participants performance is affected by boredom (fatigue effects) so it gets worse or their performance improves because of past experience (practice effect)
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Demand characteristics
Where clues are picked up on so the participants guess the aim of the research
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Repeated measures
Where the same participants do all conditions of the experiment
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Matched pairs
Different participants do the different conditions of the experiment but they are matched on key variables so their results are treated as though they came from one person. Twins are often used.
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Informed consent
Where participants know they aim of a study and exactly what is expected of them before they agree to take part. Parental or guardians consent is needed for under 16’s and for vulnerable adults
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Brief
The instructions given before a study when gaining consent, it should make reference to the aim and all ethical issues
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Deception
Researchers should try to avoid deception, if it has been used it should be fully explained in the debrief
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Debreif
Given to participants after a study to fully explain the process, check their well-being and remind them of their ethical rights.
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Protection from harm
Participants should not experience any physical or mental harm from taking part in a study
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Right to withdraw
Participants have the right to withdraw themselves and their data at any time
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Confidentiality
Participants should remain anonymous
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Reliability
The extent to which a test or measure produces predictable results
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Internal reliability
Whether a measure is consistent within itself
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External reliability
Whether the measure is consistent over time
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Split-half method
Measure internal reliability by splitting the test into two and having the same participant completing both halves. If both halves are the same then the test has internal reliability
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Test-retest method
Measures external reliability by giving the same test to the same participant on different occasions and if the same result is obtained the test has external reliability.
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Inter-observer reliability
When observers can show that they are observing and scoring behaviour in the same way
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Validity
The extent to which the results of a study measure what they are supposed to
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Internal validity
Whether any changes to the DV are caused just by the manipulation of the IV and not any confounding variables.
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External Validity
The extent to which the findings of a study can be generalised, the three types are ecological, temporal and population
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Ecological Validity
Whether the research results can be applied to explain the behaviour in real life settings
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Temporal validity
Whether the results of the research would apply in different times
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Population Validity
Whether the sample is a true representation of the target population so that the results can be generalised
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Face validity
A test of validity which refers to the extent to which a test looks like it is measuring what it should
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Concurrent validity
Tests validity by correlating scores on a test with those on another test which has already had its validity established
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Predictive validity
Tests validity by assessing how well a test can predict future behaviour
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The scientific process
A means of acquiring knowledge based, objective, observable, measurable evidence
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Replicability
Being able to repeat a study to check how reliable and valid it is
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Obectivity
Observations made without bias
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Falsification
A scientific theory must be falsifiable, we must be able to prove it wrong
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Inductive phase
The stage of the scientific process where observations yield information which is used to generate theories as explanations
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Deductive phase
The stage of the scientific process where predictions from theories are made into hypotheses. These are then tested by gathering data which is analysed and any theoretical changes can then be made
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Peer Review
Scrutiny by experts of research papers to check they are valid and free from bias
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Single blind review
Names of the researchers remain anonymous
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Double blind review
Names of the researchers and reviewers remain anonymous
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Open review
No anonymity of researchers or reviewers.
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Other cards in this set

Card 2

Front

Independent Variable (IV)

Back

The factor manipulated by a researcher in an investigation

Card 3

Front

Dependent Variables (DV)

Back

Preview of the front of card 3

Card 4

Front

Operationalisation

Back

Preview of the front of card 4

Card 5

Front

Extraneous Variables

Back

Preview of the front of card 5
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