Lecture 2 Flashcards

1
Q

Research design

A

the approach
population sample
time and place of data collection
tools and method of data collection
method of data analysis

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2
Q

quantitative

A

numerical

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3
Q

qualitative

A

can’t be measured continuously
usually collecting data that is descriptive of a phenomena

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4
Q

difference between qualitative and quantitative

A

qual-
words/ patterns and themes analysis/ varriables not manipulated/ results are mostly generalised

quan- investigative relations/ test hypothesis by numbers/ satistical analysis/ varibles are manipulated

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5
Q

type of research design

A

observational studies
experimental studies
critical apprasial studies
methodological studies

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6
Q

observational design

A

descriptive
analytical/ explorator- if comparison group

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7
Q

observational descriptive

A

describes data and charactersticis
cannot decribe the cause of the situation
cannot generalise
use descriptive satisitics

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8
Q

anlalytical observation

A

investigating relationships between studies
use different statistics
comparison group

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9
Q

why doe we use different time lines in analyticial descriptive

A

cheap
practical
ready access

examine data previously and see progression

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10
Q

issues with retrospective data

A

no control over data quality
missing data
not standised methods
change in measurement procedures

accuracy
reliability

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11
Q

propective time lines benefits

A

good control over data quality
reliable
accuracy

however, time consuming and expensive

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12
Q

cross sectional data

A

study a group of subjects at a point in time

time efficent
less expensive

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13
Q

longitudinal data

A

repeated data measurements
suggest casual relationships

expensive
time consuming

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14
Q

experimental controlled studies

A

intervention- variables controlled and manipulated
matched group- similar recives no intervention

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15
Q

correlation

A

measure the degree of association between variables

don’t control or manipulate factors but study natural vary

it isn’t cause

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16
Q

correlation adv/ disad

A

can study a large number of variables
study variables together

dis
correlation isn’t a cause
misused to identify causation
little control over extraneous variables

17
Q

sytematic review

A

formal and sturctured approach where you review all literature avaliable

18
Q

meta-analysis

A

statistical method used to combine neumerical results from studies included in systematic review

19
Q

methodological studies

A

to test reliability and validity