Research Design (wk2) Flashcards

1
Q

Why is research design important?

A

-To provide a framework of methods and techniques
-Enables research to be conducted in a structured way
-Research design tells us ‘how’ a study is conducted

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2
Q

Descriptive and experimental research

A

-Descriptive -> What is going on?
-Experimental (analytical) -> Why is it going on?

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3
Q

Observational v Experimental designs
-Observational

A

-There is no intervention
-Provides information on ‘associations’ between an ‘exposure’ and an ‘event’ or ‘characteristics’ of the population

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4
Q

Observational v Experimental studies
-Experimental

A

-Involves an intervention (if the measurement is effected by the intervention put in place)
-Allows for the determination of cause and effect (if the study is designed appropriately)

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5
Q

Cross-sectional v Longitudinal designs

A

Cross-sectional;
-Assesses a phenomenon at one point in time
-Measures different samples/populations
-Provides a snapshot of a given point in time
-Examines trends and changes at a societal/national/international level
-Example: Health survey for England

Longitudinal;
-Assesses a phenomenon at several points in time
-Measures the same sample/pop over time
-Provides information on change at the individual level
-Provides insight into cause-effect relationships
-Example: Lothian birth cohort study

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6
Q

Common study designs - Cross-sectional design (single group)

A

-One sample of ppt’s recruited from target population
-Information is collected from these people once
-Type of research Q -> What are the associations between energy/nutrient intakes and frailty in older migrant women in the UK
-Can provide a quick look at correlations that may exist at a particular point

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7
Q

Common study designs - Cross-sectional design (multiple groups)

A

-Different groups of defined ppt’s are recruited
-Information is collected from these people once
-Type of research Q -> Are athletes different from non-athletes?

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8
Q

Common study designs - Retrospective data

A

-Backward looking -> examine data that already exists
-Tries to identify factors that predict whether something will happen e.g. disease, sports performance
-Type of research Q -> Does meeting the UK physical activity recommendations over a lifetime have a protective effect against falling in older people
-This design is the strongest among the observational studies
-Can suggest associations between an exposure and a health outcome

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9
Q

Common study designs - Prospective design

A

-Forward looking -> collects new data, then sometimes, watch/wait
-Waits for outcomes e.g. development of disease, or sporting performance and relates this to suspected influencing factors
-Type of research Q -> What is the relationship between premature mortality and red meat consumption
-This design is the strongest among the observational studies

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10
Q

Common study designs - Case control study

A

-Usually retrospective (but not exclusively)
-‘Cases’ have the outcome e.g. heart disease
-‘Controls’ do not have the outcome
-Type of research Q ->What is the association between allotment gardening and mental well-being
-Can assess whether exposure is disproportionately distributed between the cases and controls

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11
Q

Common study designs - Randomised controlled trial

A

-Forward looking -> prospective
-Can identify a cause and effect relationship
-Participants are randomized into a ‘control’ or ‘intervention’ group
-Follows groups over time to determine a difference in outcomes
-Type of research Q -> What is the effect of exercise on cognitive impairment in older adults with mild to moderate dementia

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12
Q

Common study designs - Quasi-experimental design

A

-An intervention study that does not -> randomise ppt’s and/or have a control group
-Not as robust as a randomised trial
-Example -> Testing the impact of physical activity intervention on risk for type 2 diabetes in South Asian adults
-Only one group
-Without a control group we cannot say with confidence that the intervention is/is not effective (it could be due to time/season)
-It draws statistical conclusions from quantitative data

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13
Q

Feasibility and pilot studies

A

Feasibility:
-Research done before a main study to determine whether the methods are feasible and acceptable
-Can this study be done? Can we recruit patients?

Pilot studies:
-A small-scale study conducted prior to a large-scale experiment to test and refine procedures
-Does initial data suggest our method/intervention could work

-Both are used to inform the design and implementation of large, definitive randomized controlled trials

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14
Q

Draw diagram of how a theory is derived using study designs

A

-The continuum of increasing evidence

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