1B- scientific methodologies Flashcards

1
Q

case study definition

A

an in-depth investigation of an individual, group, or particular phenomenon
(activity, behaviour, event, or problem) that contains a real or hypothetical situation and
includes the complexities that would be encountered in the real world.

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2
Q

experiment definition

A

when a cause-and-effect relationship between two variables is measured in a controlled environment

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3
Q

correlation study definition

A

a type of non-experimental
study in which researchers
observe and measure the
relationship between two
or more variables without
any active control or
manipulation of them

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4
Q

Classification definition

A

the arrangement of
phenomena, objects,
or events into
manageable sets

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5
Q

identification definition

A

a process
of recognition of
phenomena as belonging
to particular sets or
possibly being part of
a new or unique set

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6
Q

fieldwork definition

A

any research
involving observation and
interaction with people
and environments in real-world settings, conducted
beyond the laboratory

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7
Q

Literature review definition

A

refers to the process of collating and analysing secondary data related to
other people’s scientific findings and/or viewpoints, in order to answer a question or provide
background information to help explain observed events, or as preparation for an investigation
to generate primary data.

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8
Q

Modelling definition

A

refers to the construction and/or manipulation of either a physical model, such as
a small- or large-scale representation of an object, or a conceptual model that represents
a system, involving concepts that help people know, understand, or simulate the system.

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9
Q

Product, process or system development definition

A

refers broadly to the design
or evaluation of an artifact, process, or system to meet a human need, which may involve
technological applications, in addition to scientific knowledge and procedures.

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10
Q

simulation definition

A

refers to the process of using a model to study the behaviour of a real or theoretical system.

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11
Q

experimental group definition

A

refers to the group of participants in an experiment who are exposed to a manipulated independent variable (i.e. a specific intervention or treatment).

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12
Q

controlled group definition

A

refers to the group of participants in an experiment who receive no experimental treatment or intervention in order to serve as a baseline for comparison

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13
Q

within-subjects design definition

A

an experimental design in which participants complete every
experimental condition.

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14
Q

between-subjects design definition

A

an experimental design in which individuals are divided into
different groups and complete only one experimental condition

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15
Q

Mixed method design definition

A

an experimental design
which combines elements
of within-subjects and
between-subjects designs

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16
Q

extraneous variable definition

A

is any variable that is not the independent variable but may cause an unwanted effect on the
dependent variable

17
Q

controlled experiment advantages

A

.They allow researchers to infer causal
relationships between, and draw conclusions
about, specific variables.
* They provide researchers with a high level of
control over conditions and variables.
* They follow a strictly controlled procedure so
it can be repeated to check results.
* They can allow researchers to test hypotheses
more quickly than in real-world settings.
* The high control of variables may mean
prevention of extraneous and confounding
variables.

18
Q

controlled experiment disadvantages

A
  • As they are often conducted in a laboratory or
    highly controlled setting, the setting may not be
    reflective of real life. This may affect participants’
    responses.
  • Because experiments involve human control
    and manipulation of variables, they are open to
    researcher error or ‘experimenter effects’.
  • It can be time-consuming and expensive to
    manipulate and measure certain variables.
  • Confounding or extraneous variables can still occur.
19
Q

case study advantages

A
  • They provide highly detailed, rich information
    about a particular phenomenon under study.
    This can also provide new knowledge about
    other phenomena, e.g. studying brain trauma
    may inform us about brain function.
  • They allow phenomena, including rare
    phenomena, to be examined in depth, which can
    provide ideas for future studies and hypotheses.
  • They can incorporate other scientific
    methodologies to gain data
20
Q

case study disadvantages

A
  • Results cannot be generalised (applied) to a wider
    population, as case studies often only involve a
    small group of people or one person.
  • Case studies are subject to researcher bias and
    errors, as often one or only a few researchers.
  • It can be difficult to draw conclusions about cause
    and effect.
  • Case studies can be time-consuming.
21
Q

correlation study advantages

A
  • There is no manipulation of variables required.
  • They can provide ideas for future hypotheses
    and research, as well as form the basis for
    theories.
  • They can provide information about the
    relationships and associations between
    variables.
  • They can be conducted in naturalistic settings,
    so findings are applicable to real work.
22
Q

correlation study disadvantages

A

Their results cannot draw conclusions about cause
and effect.
* They can be subject to the influence of extraneous
variables

23
Q

classification and identification advantages

A
  • It provides a common language to
    communicate about scientific phenomena.
  • It helps to simplify, explain and describe
    complex phenomena.
  • It allows scientists to form more targeted
    solutions or interventions to real problems.
  • It allows researchers to form theories and
    hypotheses about labelled phenomena.
24
Q

classification and identification disadvantages

A
  • It can over-simplify reality.
  • Labels and language can be inaccurate and
    create bias.
25
Q

fieldwork advantages

A

It can be conducted in naturalistic settings, so
findings are more applicable to the real world.
This means it has high ecological validity.
* Fieldwork provides rich, detailed data.
* Fieldwork can use a broad range of different
methodologies depending on the object of
inquiry and resourcing needs.
* As it can occur over a longer time period,
it can uncover information that may not
be immediately obvious to researchers and
participants.

26
Q

feildwork disadvantages

A
  • It can be time-consuming and expensive to conduct
    and then record data.
  • It can generally not inform conclusions about cause
    and effect.
  • Due to lengthy procedures in a real-world setting,
    fieldwork is difficult to replicate in order to verify
    results.
  • It is difficult to control the environment and
    extraneous variables, as researchers do not
    precisely manipulate variables.
27
Q

literature review advantages

A
  • It provides background information on
    specific phenomena that can inform new
    studies and hypotheses.
  • It allows researchers to understand the
    current ‘state of play’ for a specific object of
    inquiry and answer questions.
  • Through information synthesis, it may uncover
    patterns of knowledge or gaps of knowledge.
28
Q

literature review disadvantages

A
  • It may be time-consuming.
  • It may be difficult to do if little research has been
    done on a topic.
29
Q

modeling advantages

A
  • It can provide explanatory tools.
  • Physical modelling allows researchers to
    know, understand and problem solve.
  • Conceptual modelling can simplify and explain
    certain phenomena.
29
Q

modeling disadvantages

A

As models are often used to simplify and
communicate ideas, they may over-simplify or
inaccurately represent reality.

30
Q

product, process, or system development advantages

A
  • It creates products, processes and systems that
    may meet a human need.
31
Q

product, process, or system development disadvantages

A
  • It can be expensive and time-consuming
32
Q

simulation advantages

A
  • Simulation provides insight into potential
    circumstances and events.
  • It allows researchers to view micro, hard-tosee phenomena, such as neurons, in detail.
  • It allows researchers to see events that might
    otherwise be too time-consuming, dangerous
    or impractical to see in reality.
33
Q

simulation disadvantages

A
  • It can be time-consuming and expensive.
  • It is subject to programming and human error
    so may not always be an accurate prediction or
    reflection of reality.