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Year 1
Controlled observation
A type of observation where participants are observed in a lab , increasing control and reliability but decreasing ecological validity
Correlation
The extent to which two variables are associated
Covert observation
A type of observation where the observer is hidden and therefore participants do not know they are being observed , while this does reduce demand characteristics , it can raise ethical issues aorund consent
Experiment
A type of investigation where in a hypothesis is tested by manipulation of an independent variable , in order to view its effect on the dependent variable
Field experiemnt
A type of experiment that is conducted in a real life setting
Reduces amount of control over extraneous variabls
Ecological validity
Interviews
A self report technique
Participants are asked questions by interviewer
Flexibility of information gathered
Laboratory experiment
A type of experiemnt that is conducted in a highly controlled environment
Allowing control over extraneous variables
Lacks ecological validty
Natural experiment
A type of experiemnt in which an independent variable that already exists is tested in its natural environment
Greatly reducing the control of extraneous variable
Allows for investigation if variables that cannot ethically be created
Naturalistic observation
A type of observation where participants are observed in their natural environment
Increasing ecological validity
Decreasing the amount of control over axtraneous variables
Non-participant observation
A type of observation where the observer does not join the group under observation
Higher objectivity
Reduces insight that could be achieved with a participation observation
Observation
A type of data collection where in participants’ behaviour is observed
Overt observation
A type of observation where the participants know they are under observation
Preserves informed consent
Increase demand characteristics
Participant observation
A type of observation where the observation where the observer joins the group under observation
Highly valuable qualitative information with insight
Reduce objectivity of the researcher
Quasi experiiment
A type of experiemnt in which an independent variable that already exists is tested in its natural environment
Greatly reducing the control of extraneous variable
Allows for investigation if variables that cannot ethically be created
Questionnaires
A self report technique where in participants answer pre- decided questions , in the form of paper or electronically , allows for anonymity
Structure interviews
A form of interview where questions are pre-set beforehand , with no flexibility. Usually these consist of closed questions , and allows for replicability
Unstructured interviews
A form of interview where questions may be set beforehand , but the interviewer is allowed flexibility in the form of a natural conversation
Aims
The objective or purpose of the experiment
Bias
An inclination to a certain position or thought, for example in hostile attribution bias , hostility or negativity is more likely to be assumed from a neutral face
Behavioural categories
An observatonal technique where participants possible behaviours are separated into more specific components
Allows operationalisation of the behaviour
eg spliting aggression into categories of ‘swearing’ and ‘punching’
Closed questions
A type of question that can only be answered with a limited muber of answers - yes or no
Concurrent validity
Occurs if a test is similar to an older test that already has well established validity
Confounding variable
A type of extraneous varaible that is related to the independent variable in the experiement
Control variable
Any variables that are kept constant through the experiemnt to prevent their effects on the dependent variable
Counterbalancing
To make half of the participant sample experience the different conditions of the experiemnt in one order and the otehr half of the participants complete in the opposite order
Demand characteristics
Changes in participants behaviour to comply with the hypothesis
Dependent variable
The variable that changes in response to manipulation of the researcher, that is being measured for the experiment
Directional hypothesis
A hypothesis that specifies the direction of the relationship of the experiment
Event sampling
An observational technique where an observer records every time a particular behaviour or ‘event’ occurs usually in the form of a tally chart
Extraneous variables
Variables other than the independent variable that have an effect of the dependent variable
Generalisation
To attribute information from a samle to the rest of the population
Hypothesis
The prediction of the outcome of the experiement
Independent groups
An experimental design where different participants are involved in different conditions of the experiement
Independent variable
The variable that is manipulated by the researcher to observe its effects on the dependent variable
Investigation effects
Unconcious changes in the investigators behaviour to comply with hte hypothesis of the investigation
Matched pairs
An experimental design where participants in different conditions of the experiement are matched on certain variables to reduce the effect of participant variables
Non- directional hypothesis
A hypothesis that does not specify the direction of the relationship of the experiment
Open questions
A type of question that requires answers longer than yes or no
Operationalisation of variables
To clearly state and objectify a variable
eg instead of ‘aggression’ it would be developed into observable categories like ‘punching’ ‘kicking’
Oppertunity sampling
A sampling technique that involves obtaining a sample via anyone that is available from the population at the time of collecting the sample
Peer review
The assessment of work by other people with similar levles of expertise in that field to provide an unbiased expert opinion of the quality of said work
Pilot studies
Preliminary / trial studies carried out to ensure the clarity of the study itself, for example using a pilot questionaire on a sample of people that give feedback on the clarity of the questions
Population
The group represented by a sample
Random allocation
To allocate participants to separate conditions using some sort of randomisation technique
Random sampling
A sampling technique which involves randomly generating participants from the population by any randomisation technique
Repeated measures
An experiemntal design where the same participants undergo all the conditions of the experiemnt
Sample
A smaller gorup that aims to be representative of a population
Standardisation
Keeping the experimental methods as identical as possible
Stratified sampling
A sampling technique that involves establishing subgroups (stratas) within the population investigated and picking participants to create a representative samply
Systematic sampling
A sampling technique that involves establishing a method to pick participants evenly distributed through the population
Nth
Time sampling
An observational technique where an observer only records specific behaviours time intervals
Volunteer sampling
A sampling technique that involves using participants that volunteer to take part in the study , provided they meet the inclusion criteria
Bar charts
A graphical representation of categorical data with numerical values
Correlation
The extent to which two variables are associated
Mean
A measure of the average of a data set that is calculated by adding all values together and dividing by the total number of values, taking in every value including outliers / anomalies
Median
A measure of the average of a data set by determining the middle value in the data set, this means it only takes into account the very middle value , ignoring the value of nay others
Mode
Measure of the average of a data set by determining the most common value , this means it only takes into account the number of values and not the values themselves
Negative correlation
When two sets of variables have a negative relationship - when one increases the other decreases
Normal distribution
A symmetric distribution of values around the mean , sometimes called
‘The Bell Curve’
Positive correlation
When two sets of variables have a positive relationship - when one increases the other increases
Primary data
Data that has been collcted first hand - by yourself
Qualitative data
Non- numerical data - text , video , photographs or audio recordings
Quantitative data
Data that is categorised by numerical values - height , weight , time
Range
A measure of dispersion that is calculated by subtracting the smallest value from the largest value
Scattergrams
A graphical representation of the correllation between two varibales
Secondary data
Data that has been collected by someone else
Skewed distribution
A asymmetric distribution of values around the mean , which can be positively or negatively skewed
Standard deviation
Measure of dispersion that represents the average distance of values from the mean
Calaculated by subtracting each value from the mean
Squaring that difference and finding the sum of all these squares
Then dividing by the number of values and findsing the square root
Year 2
Case studies
A detailed study of a particular person/persons or event usually holding a large amount of information
Content analysis
A research tool used to determine the presence of certain words , themes , or concepts within some given qualitative data
Abstract
A part of a scientific report that aims to summarise the report
Concurrent validity
Occurs if a test is similar to an older test that already has well established validity
Ecological validity
How well results from a twst can be applied to real life
Face validity
If a test appears to be valid at first appearance in spite of how well it workd in a real world scenario
Falsifiability
The quality of being able to be proven wrong, a statement can be falsified by one observation anomaly
Inter-observer reliability
Multiple investigators gather information separately during an observation and compare their data for similarity after
Objectivity
Empirical something that is not influenced by personal feelings
Paradigm
A basic concept a well accepted core belief
Paradigm shift
When previously accepted core concepts in a science are changed
Reliability
Essentially replicabity ; the extent tho which the test can be repeated and gather similar results
Replicability
How easily a test can be reproduced
Temporal validity
How well results from a test can be applied across time periods
Test-retest reliability
Completeing a test multiple times and comparing the scores for for similarity
Validity
Essentially truthfulness , the extent to which a test measures what it aims to measure
Coding
A type of analysis where in huge texts are simplified to certain key words that are aligned with certain themes
Correlation coefficient
A value between -1 and 1 that indicates the relationship (correlation) between tow data sets
Interval
A level of measurement that refers to variables that exist on a scale with fixed ,standardised intervals
Nominal
A level of measurement that refers to variables that can be counted in whole numbers , to indicate frequency
Ordinal
A level of measurement that refers to variables that can be placed on a scale of relative importance
Thematic analysis
A type of data anaylsis that aims to identify , repot and analyse recurring concepts