Quantitative Flashcards

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1
Q

4 important considerations for research topics

A
  • Impact
  • Environment
  • Cost/Benefit trade off
  • Personal interest/development
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2
Q

4 important considerations for research Q

A
  • How unknown is the Q? (answer unknown/different perspective on debate offered)
  • Impact
  • Practicality
  • Literature reviews
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3
Q

How to ensure generalisability

A

Size - the bigger the better

Representativity - think demographics, an accurate picture of society (not e.g. Western centric)

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4
Q

How to ensure causality

A

Correlation is NOT causation

- Manipulation of variables, either through repeated measures or between measures set up

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5
Q

Repeated measures v between measures

A

e.g. within experiment run - sit - walk (heart rate measurement)
RM = same participant used
BM = separate participants

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6
Q

What is operationalisation?

A

Describes when a variable is defined by the researcher and a way of measuring that variable is developed for the research.

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7
Q

What should you consider within operationalisation?

A

Reliability
= the extent to which it produces similar measurements under similar conditions
- Can be combatted by increasing sample size and averaging

Validity
=the extent to which procedure measures what it is truly meant to measure)
- Can’t be combatted by increased sample size

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8
Q

What the 3 types of variables to consider in qual. methods

A
  • Musical variables
  • Scientific variables
  • Psychological variables
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9
Q

Musical variables

A
  • Computational (algorithm generated)
  • Human (human evaluation of music e.g. theory)
  • Symbolic (discrete symbols)
  • Audio (direct analysis of audio)
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10
Q

Scientific variables

A

Ordinal (finite set of values with an intrinsic order)
Categorical (finite set of values without an intrinsic order e.g. T/F)
Continuous (numeric values within a continuous range)
- Can be interval (+ & - meaningful e.g. time of day) or ratio (multiplication meaningful e.g. money)

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11
Q

Psychological variables

A
Manipulations
Physical behaviour
Neural responses
Physiology
Latent traits (e.g. personality - usually expressed through questionnaires)
Demographics
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12
Q

Ways of measuring neural responses (+ comparison)

A
EEG
- electric
- high temporal sensitivity
- good to record temporal responses to stimuli
- not very precise in location
MEG
- magnetic
- high temporal sensitivity
- greater precision
fMRI
- changes in blood flow in brain
- better location
- lower temporal sensitivity
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13
Q

comparison of quant v qual

A
quant
- expressed in numbers/graphs 
- acoustics
- generalisable
- test/confirm hypothesis
- researcher should be neutral (aim for objectivity)
qual
- expressed in words
- researcher integral
- understand concepts/ further info (in-depth insights)
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14
Q

advantages/disadvantages of quant

A

+ generalisable
+ tests hypothesis
+ rapid analysis
+ objectivity

  • size
  • context
  • confirmation bias (search to prove a hypothesis)
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