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Quantitative

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Total cards: 14•Content version: v4•Public deck•Updated: 8/1/2026

Card preview (14)

#1
Front (Question)

4 important considerations for research topics

Back (Answer)

• Impact • Environment • Cost/Benefit trade off • Personal interest/development

#2
Front (Question)

4 important considerations for research Q

Back (Answer)

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

#3
Front (Question)

How to ensure generalisability

Back (Answer)

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

#4
Front (Question)

How to ensure causality

Back (Answer)

Correlation is NOT causation - Manipulation of variables, either through repeated measures or between measures set up

#5
Front (Question)

Repeated measures v between measures

Back (Answer)

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

#6
Front (Question)

What is operationalisation?

Back (Answer)

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

#7
Front (Question)

What should you consider within operationalisation?

Back (Answer)

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

#8
Front (Question)

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

Back (Answer)

• Musical variables • Scientific variables • Psychological variables

#9
Front (Question)

Musical variables

Back (Answer)

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

#10
Front (Question)

Scientific variables

Back (Answer)

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)

#11
Front (Question)

Psychological variables

Back (Answer)

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

#12
Front (Question)

Ways of measuring neural responses (+ comparison)

Back (Answer)

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

#13
Front (Question)

comparison of quant v qual

Back (Answer)

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)

#14
Front (Question)

advantages/disadvantages of quant

Back (Answer)

+ generalisable + tests hypothesis + rapid analysis + objectivity • size • context • confirmation bias (search to prove a hypothesis)