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aim
the purpose of the study - it explains what you intend to investigate
variable
A condition or component of an experiment that can be measured or manipulated.
independant variable (IV)
The independent variable (IV) cna be thought of as that which is manipulated by the experimenter
Dependant variable (DV)
The dependent variable (DV) can be thought of as that which is measured to test the effect of the independent variable.
research variables
experiemental group, control group
Less IV’s in a study generally means
more conclusive results
does multiple dependant variables impact the validity of a given study?
no
hypothesis
a testable prediction about the relationship between variables (IV and DV) that includes the population and the strength and direction of the relationship.
Extraneous variable
any variable (that is not the IV or the DV) that can potentially affect the results of the study.
between- subjects design
An experimental design in which individuals are divided into different groups and compete only one experiment condition (exposes each participant to only one experimental condition or the other)
Experiement
An experiement or controlled experiement, is when a cause and effect relationship is measured, by testing the effect of the IV on the DV.
Within- subjects design
an experiemental design in which participants complete every experiemental condition in order to help mitigate EV’s affecting outcomes.
Mixed method design
A procedure for collecting and analysing quantitative and qualitative research in a single study.
Case studies
An in-depth or detailed study on a particular activity, behaviour, event or problem. may be historical, hypothetical or current. (not an experiement)
observational studies
observational studies or fieldwork , are a methodology that involves investigating through observing and interacting with an environment in a naturalistic setting ( no quantitative data)
correlation studies
look at the relationship between two variables
literature reviews
use secondary data to answer a question or provides research for comparison before conducting primary data investigations.
modelling / simulations
are small or large scale representation of an object to enable replication, explanation, or investigation.
product, process or system development.
is the design and development of something to meet a human need, which may involve technological application.
classification and identification
means to organise things by putting them into or constructing sets.
primary data
data sourced by the researcher themselves
secondary data
data which is collected by other sources
population
group of people who are the focus of the study and from which rthe sample is drawn
sample
a subset of the research population who participate in a study- a sample must be characteristically representative of the population.
types of sampling
convenience sampling, random sampling, stratified sampling
convenience sampling
selected in the quickest/ easiest way possible - not representative of the population
random sampling
each member of the population has an equal chance of being selected - free from bias - may not be representative of the population.
stratified sampling
breaks population into subgroups (strata) and selects participants from each group in the same proportion they appear within the population- more representative of the population - more time consuming
control group
not exposed to any experimental conditions (IV), they are used as the basis of comparison.
experimental group
is exposed to experiemental conditions (IV)
controlled variables
variables held constant within every condition of an experiement.
extraneous variiables (EV)
are that which are not controlled in an experiment, unwanted effect on the results.
types of errors
personal errors, systematic errors, random errors
personal errors
can occur through the researcher, such as the experimenter effect (mistakes, miscalculations, observer error)
random errors
can account for variations in results, such as extraneous variables (errors in measurement of results)
systematic errors
can occur as in the case of confounding variables. (errors in measurements are all consistently shifted from the true value. (predictable))
qualitative data
descriptions, opinions, arguments etc. Infinite range of responses are possible.
quantitative data
numerical in nature, and categorical (obtained through questions with quantifiable answers.) Finite range of responses.
subjective data
relies on assumptions or personal experience. Eg: mood (hard to compare)
objective data
can be directly observed or measured, eg. speed, score (easy to compare)
descriptive statistics
mathematic calculations that describe, organise and summerise the data
measures of variability
range is the difference between the highest and lowest scores in a distribution.
standard deviation
measures the spread of scores around the mean. The higher the standard deviation, the greater the range of values within the sample.
frequency distribution tables
errors
personal errors, systematic errors, random errors.
personal erros
can pertain to miscalculations, observer bias, mistakes. An example of these include experiementer effects.
systematic Errors
Can be found if results differ consistently from the true value. This can be a result of inaccuracy in instruments readings or maybe even an impact of a confounding variable.
random errors
can occur for a variety of reasons such as extraneous variables where environmental factors, personal characteristics or non-standardised procedures may results in errors that are not attributed to the impact of the IV.
validity
refers to the extent to which an assessment tool actually measures what it is designed to measure. Eg. Does this test measure IQ appropriately.
repeatability
If the research is repeated with same people, does it yield the same results?
reproducibility
Do the results have reproducability? Can they be reproduced under different conditions and yield similar results?
internal validity
are the instruments/tools effectively assessing the content/theory we beleive we are assessing?
external validity
is the study done, and reported, in such a way that the findings can be applied to the wider population?
reliability
refers to the extent to which the assessment tool measures what it is supposed to measure consistently. Eg. Do i get the same IQ score in each test?
ethical understanding
considers the implications of one’s own research.
Applies integrity when considering, recording and reporting outcomes of an experiementation.
recognises the importance of ethical values from a social, political and legal framework.
ethical concepts
beneficence, non-maleficence, integrity, justice, respect.
Ethical guidelines
informed consent, withdrawal rights, debriefing, deception, confidentiality, voluntary participation
beneficence
The consideration of the benefits or gains in relation to possible risk.
Non- maleficence
The idea that any harm should not be proportionate to the gains made from the research (do not harm)
Integrity
The commitment to search for knowledge, and then honestly report information and findings.
justice
distribution of fair access to the benefits from resarch to everyone
respect
The beleif that everyone has value regardless of beliefs and has the right to make their own decisions.
voluntary participation
individuals freely choose to participate in a study, without any coercion or pressure
informed consent
participants must understand the nature and purpose of the study and any risks. they sign their consent.
withdrawal rights
participants are allowed to leave the experiment at any time, or remove their results from the following research.
debriefing
participants are informed of the research aims, results and conclusions and are provided with psychological support following research.
decpetion
praticipants must know the purpose of a study, unless it may impact their behaviour in research. If deception is used, thorough debreif is required.
confidentiality
participants have the right to privacy and protection, and that security of results is to be maintained.