Research methods vocab

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92 Terms

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Year 1

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Controlled observation

A type of observation where participants are observed in a lab , increasing control and reliability but decreasing ecological validity

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Correlation

The extent to which two variables are associated

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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

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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

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Field experiemnt

A type of experiment that is conducted in a real life setting

  • Reduces amount of control over extraneous variabls

  • Ecological validity

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Interviews

A self report technique

  • Participants are asked questions by interviewer

  • Flexibility of information gathered

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Laboratory experiment

A type of experiemnt that is conducted in a highly controlled environment

  • Allowing control over extraneous variables

  • Lacks ecological validty

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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

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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

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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

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Observation

A type of data collection where in participants’ behaviour is observed

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Overt observation

A type of observation where the participants know they are under observation

  • Preserves informed consent

  • Increase demand characteristics

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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

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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

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Questionnaires

A self report technique where in participants answer pre- decided questions , in the form of paper or electronically , allows for anonymity

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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

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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

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Aims

The objective or purpose of the experiment

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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

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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’

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Closed questions

A type of question that can only be answered with a limited muber of answers - yes or no

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Concurrent validity

Occurs if a test is similar to an older test that already has well established validity

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Confounding variable

A type of extraneous varaible that is related to the independent variable in the experiement

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Control variable

Any variables that are kept constant through the experiemnt to prevent their effects on the dependent variable

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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

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Demand characteristics

Changes in participants behaviour to comply with the hypothesis

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Dependent variable

The variable that changes in response to manipulation of the researcher, that is being measured for the experiment

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Directional hypothesis

A hypothesis that specifies the direction of the relationship of the experiment

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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

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Extraneous variables

Variables other than the independent variable that have an effect of the dependent variable

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Generalisation

To attribute information from a samle to the rest of the population

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Hypothesis

The prediction of the outcome of the experiement

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Independent groups

An experimental design where different participants are involved in different conditions of the experiement

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Independent variable

The variable that is manipulated by the researcher to observe its effects on the dependent variable

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Investigation effects

Unconcious changes in the investigators behaviour to comply with hte hypothesis of the investigation

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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

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Non- directional hypothesis

A hypothesis that does not specify the direction of the relationship of the experiment

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Open questions

A type of question that requires answers longer than yes or no

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Operationalisation of variables

To clearly state and objectify a variable

  • eg instead of ‘aggression’ it would be developed into observable categories like ‘punching’ ‘kicking’

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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

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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

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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

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Population

The group represented by a sample

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Random allocation

To allocate participants to separate conditions using some sort of randomisation technique

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Random sampling

A sampling technique which involves randomly generating participants from the population by any randomisation technique

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Repeated measures

An experiemntal design where the same participants undergo all the conditions of the experiemnt

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Sample

A smaller gorup that aims to be representative of a population

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Standardisation

Keeping the experimental methods as identical as possible

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Stratified sampling

A sampling technique that involves establishing subgroups (stratas) within the population investigated and picking participants to create a representative samply

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Systematic sampling

A sampling technique that involves establishing a method to pick participants evenly distributed through the population

  • Nth

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Time sampling

An observational technique where an observer only records specific behaviours time intervals

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Volunteer sampling

A sampling technique that involves using participants that volunteer to take part in the study , provided they meet the inclusion criteria

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Bar charts

A graphical representation of categorical data with numerical values

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Correlation

The extent to which two variables are associated

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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

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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

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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

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Negative correlation

When two sets of variables have a negative relationship - when one increases the other decreases

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Normal distribution

A symmetric distribution of values around the mean , sometimes called

‘The Bell Curve’

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Positive correlation

When two sets of variables have a positive relationship - when one increases the other increases

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Primary data

Data that has been collcted first hand - by yourself

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Qualitative data

Non- numerical data - text , video , photographs or audio recordings

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Quantitative data

Data that is categorised by numerical values - height , weight , time

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Range

A measure of dispersion that is calculated by subtracting the smallest value from the largest value

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Scattergrams

A graphical representation of the correllation between two varibales

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Secondary data

Data that has been collected by someone else

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Skewed distribution

A asymmetric distribution of values around the mean , which can be positively or negatively skewed

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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

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Year 2

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Case studies

A detailed study of a particular person/persons or event usually holding a large amount of information

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Content analysis

A research tool used to determine the presence of certain words , themes , or concepts within some given qualitative data

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Abstract

A part of a scientific report that aims to summarise the report

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Concurrent validity

Occurs if a test is similar to an older test that already has well established validity

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Ecological validity

How well results from a twst can be applied to real life

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Face validity

If a test appears to be valid at first appearance in spite of how well it workd in a real world scenario

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Falsifiability

The quality of being able to be proven wrong, a statement can be falsified by one observation anomaly

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Inter-observer reliability

Multiple investigators gather information separately during an observation and compare their data for similarity after

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Objectivity

Empirical something that is not influenced by personal feelings

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Paradigm

A basic concept a well accepted core belief

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Paradigm shift

When previously accepted core concepts in a science are changed

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Reliability

Essentially replicabity ; the extent tho which the test can be repeated and gather similar results

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Replicability

How easily a test can be reproduced

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Temporal validity

How well results from a test can be applied across time periods

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Test-retest reliability

Completeing a test multiple times and comparing the scores for for similarity

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Validity

Essentially truthfulness , the extent to which a test measures what it aims to measure

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Coding

A type of analysis where in huge texts are simplified to certain key words that are aligned with certain themes

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Correlation coefficient

A value between -1 and 1 that indicates the relationship (correlation) between tow data sets

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Interval

A level of measurement that refers to variables that exist on a scale with fixed ,standardised intervals

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Nominal

A level of measurement that refers to variables that can be counted in whole numbers , to indicate frequency

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Ordinal

A level of measurement that refers to variables that can be placed on a scale of relative importance

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Thematic analysis

A type of data anaylsis that aims to identify , repot and analyse recurring concepts