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standards for research questions:
testable
achievable
specific
dependent variable (DV)
the factor(s) measured in the experiment that’re changed when the IV is manipulated
independent variable (IV)
the factor(s) that are manipulated in the experiment
controlled/constant variable
a factor that’s kept constant throughout the experiment
extraneous/uncontrolled variable
a factor that’s not kept constant or accounted for through the experiment
method
the steps followed in a scientific investigation
methodology
the strategy or framework follwed in a scientific investigation
types of methodology
case study
classification and identification
controlled experiment
correlational study
fieldwork
literature review
modelling
product, process, or system development
simulation
case study
an investigation of an event or problem that involves a real or hypothetical situation
classification and identification
the arrangement of individuals or objects into manageable sets, using identification to recognise where new individuals belong in these sets
controlled experiment
an investigation into the effect of an independent vairable on a dependent variable, whilst keeping other factors constant
correlational study
observing and recording events that have not been manipulated or controlled to understand associations that exist between variables
fieldwork
a correlational study or controlled experiment set up outside a controlled environment
literature review
the collation and analysis of other people’s scientific findings or viewpoints concerning a particular topic
modelling
the construction of a model or representation that approximates an object or event
product, process, or system development
design of an object, process, or system to meet a human need.
simulation
the process of using a model to observe and predict what may happen in a real or theoretical system
repeatable
an experiment using the same methods designed by the SAME group done by the SAME group that can obtain the same result multiple times
reproducible
an experiment using the method designed by ANOTHER group done by ANOTHER group that can obtain the same result multiple times as the original group’s experiment
valid
a measurement or expierment that actually tests what it claims to be testing
experimental group
the group in which the independent variable is manipulated
control group
the group that’re not exposed to the independent variable
precise
how close measurements align with each other
accurate
how close measurements are to the true value
true value
the value that would be obtained by a perfect measurement without the influence of errors
population
set of individuals that’re studied in a scientific investigation
sample
a subset of the larger population being studied
representative sample
a sample that accurately reflects the characteristics of the larger population
unbiased sample
a sample that is unaffected by a scientist’s expectations
types of sampling
random sampling
systematic sampling
stratified sampling
convienence sampling
random sampling
each member of the population is equally likely to be included in the sample
systematic sampling
involves taking samples at regular intervals along an environmental gradient (such as depth, soil type, rainfall, altitude, or temperature)
stratified sampling
when a population has clearly defined characteristics, and then is sampled proportionately from each trait
convenience sampling
sample taken from a group of individuals who’re easy to reach
types of errors
personal
systematic
random
personal errors
errors made by the experimenter
e.g counting incorrectly, rounding to the wrong decimal place, labelling samples incorrectly
systematic errors
errors which cause the results to differ from the true value by a consistent amount each time
e.g faulty calibration or equipment
random errors
errors caused by unpredictable variations in the measurement process and lead to a spread in results
primary data
results collected from sources undertaken by the researcher
secondary data
results from sources other than the researcher’s own investigations
raw data
results that haven’t been processed, manipulated, or formatted for use
numerical data
measured quantitatively, as a number
continous
discrete
continous data
data that can take any value between a set of real numbers
(decimals and fractions)
discrete data
data that can be counted and takes a particular value
cannot take fractions
catergorical data
measured qualitatively, sorted by characteristics
ordinal
nominal
ordinal data
data that can be logically ordered (size, etc)
nominal data
data that cannot be organised in a logiccal sequence (e.g gender)
correlation
when there’s a relationship between two variables
causation
when change in one variable leads to reliable change in another
ethics
helps individuals exercis moral judgement and determine what is right and wrong
bioethical approaches
consequences-based
duty/rule-based
virtues-based
consequence-based
an approach that aims to maximise positive outcomes while minimising negative outcomes
duty/rule-based
an approach that promotes the responsibility of the agent above all else, and places importance on the duty of each individual
virtues-based
an approach that emphasises the individual goodness of the agent, and promotes acting in accordance
ethical concepts
integrity
justice
beneficence
non-maleficence
respect
integrity
an ethical concept that encourages a full commitment to knowledge and understanding as well as the honest reporting
justice
an ethical concept that encourages fair consideration of competing claims, and ensures that there is no unfair burden on a particular group from an action
beneficence
an ethical concept that seeks to maximise benefits when taking a particular position or course of action
non-maleficence
an ethical concept that discourages causing harm
respect
an ethical concept that encourages the acknowledgment of the intrinsic value of living things, and considers the welfare, beliefs, customs, and cultural heritage of both the individual and the collective