1B- scientific methodologies Flashcards

(34 cards)

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
fieldwork advantages
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
feildwork disadvantages
* 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
literature review advantages
* 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
literature review disadvantages
* It may be time-consuming. * It may be difficult to do if little research has been done on a topic.
29
modeling advantages
* It can provide explanatory tools. * Physical modelling allows researchers to know, understand and problem solve. * Conceptual modelling can simplify and explain certain phenomena.
29
modeling disadvantages
As models are often used to simplify and communicate ideas, they may over-simplify or inaccurately represent reality.
30
product, process, or system development advantages
* It creates products, processes and systems that may meet a human need.
31
product, process, or system development disadvantages
* It can be expensive and time-consuming
32
simulation advantages
* 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
simulation disadvantages
* 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.