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Quantitative Methods

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Total cards: 24•Content version: v4•Public deck•Updated: 8/1/2026

Card preview (24)

#1
Front (Question)

What are the 3 features of a good research question?

Back (Answer)

Unknown, impactful and practical

#2
Front (Question)

Define QUANTITATIVE

Back (Answer)

Numerical and graphical realisation of the distribution of variables and their relation to each other

#3
Front (Question)

What are the benefits of QUANTITATIVE research?

Back (Answer)

• Objectivity - Generalisability

#4
Front (Question)

How does quantitative research ensure OBJECTIVITY?

Back (Answer)

Data collection via universal, non-subjective methods of measurement, commonly yielding numerical data

#5
Front (Question)

How does quantitative research ensure GENERALISABILITY?

Back (Answer)

• Uses large participant groups • Sampling from a well-defined population • Uses inferential statistics to give confidence estimation

#6
Front (Question)

Define VARIABLE

Back (Answer)

A measurement with a well defined set of potential values

#7
Front (Question)

What are the features of a CATEGORICAL VARIABLE?

Back (Answer)

• Can take a finite set of discrete values - No intrinsic ordering

#8
Front (Question)

How does an ORDINAL variable differ from a CATEGORICAL variable?

Back (Answer)

ORDINAL variables have an intrinsic order

#9
Front (Question)

What are the features of a CONTINUOUS variable? What are the 2 sub-types of CONTINUOUS variable?

Back (Answer)

• Can take any value within a continuous range • INTERNAL: subtraction and addition are meaningful operations • RATIO: subtraction, addition and multiplication are meaningful operations

#10
Front (Question)

What are the 6 psychological variables?

Back (Answer)

Experimental Manipulation, Physical Behaviours, Neural Responses, Physiology, Latent Traits, Demography

#11
Front (Question)

What is EXPERIMENTAL MANIPULATION? Describe the 2 ways in which these are carried out

Back (Answer)

• Changing something about a stimulus to measure its effect on a separate variable • REPEATED MEASURE approach: applying a manipulation to the same participant and recording the difference • BETWEEN GROUPS approach; splitting the participant group and performing separate manipulations/keeping one a CONTROL variable, and recording the difference between them

#12
Front (Question)

How do PHYSICAL BEHAVIOUR and PHYSIOLOGY differ?

Back (Answer)

PHYSICAL BEHAVIOUR relates to outward bodily changes whilst PHYSIOLOGY concerns inward bodily change

#13
Front (Question)

What are the 3 main types of neural imaging scan?

Back (Answer)

• EEG: Electroencephalography • MEG: Magnetoencephalography • fMRI: Functional Magnetic Resonance Imaging

#14
Front (Question)

How does EEG work? What are the advantages and disadvantages?

Back (Answer)

• Records the neural patters of the outer brain • High temporal sensitivity • Low sensitivity to localisation of brain activity

#15
Front (Question)

How does MEG work? What are the advantages and disadvantages?

Back (Answer)

• Records the the magnetic fields of neurons • High temporal sensitivity • Medium sensitivity to localisation of brain activity

#16
Front (Question)

How does fMRI work? What are the advantages and disadvantages?

Back (Answer)

• Measures the changes in blood flow in the brain; more blood flow = higher activity (needs oxygen) • Low temporal sensitivity • High sensitivity to localisation of brain activity

#17
Front (Question)

What are LATENT TRAITS?

Back (Answer)

Personal characteristics that control the behaviour of an individual

#18
Front (Question)

What are the ‘BIG FIVE’ latent traits?

Back (Answer)

Extraversion, Agreeableness, Openness to New Experiences, Conscientiousness and Neuroticism

#19
Front (Question)

What DEMOGRAPHIC variables? Give some examples

Back (Answer)

• Generalised characteristics of population members - Age, Sex, Country of Birth etc

#20
Front (Question)

What 2 features need to be kept in mind during QUANTITATIVE data collection? How may experimental design effect this?

Back (Answer)

• VALIDITY: are you actual measuring what you intend to measure? • RELIABILITY: will the same measures under similar conditions yield the similar results?

#21
Front (Question)

How does an increased sample size effect the quality of data collection?

Back (Answer)

• Increased Reliability • More representative of the population and therefore more accurate/generalisable • More likely to have outliers (by chance)

#22
Front (Question)

Define INDEPENDANT VARIABLE

Back (Answer)

The measure manipulated by the experimenter (what is changed)

#23
Front (Question)

Define DEPENDANT VARIABLE

Back (Answer)

An unchanged measure

#24
Front (Question)

How are CORRELATION and CAUSALITY related?

Back (Answer)

CORREALTION is a sign of CAUSALITY; however, two variables may CORRELATE but remain independent of each other: • Coincidental occurrence by chance • Both caused by a third external variable