Quantitative Research Designs

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23 Terms

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Research designs for PICO

  • RCT

  • Cohort analytic study

  • Single group pre/post-test design

  • Case-control study


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Research designs for PECO

  • cohort study

  • case control study

  • cross sectional study


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RCT

  • Random assignment of participants (random allocation)

  • There can be continous outcomes or discrete outcome


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Continous outcome RCT

Numerical variable where measurements can take any value along a continuum

<p>Numerical variable where measurements can take any value along a continuum</p>
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Discrete outcome RCT

Refers to when there is only two possible values like outcome vs no outcome

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Strengths of RCT

  • Random allocation

  • Temporality where exposure precedes outcome


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Weaknesses of RCT

  • Costly

  • Time is required for follow up

  • Patients that agree to participate may differ from target population (generalizability)

  • Not always ethical or feasible


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Cohort analytic study

  • Compares an expiremental and controul group when random allocation is not feasible or ethical


<ul><li><p>Compares an expiremental and controul group when random allocation is not feasible or ethical </p></li></ul><p></p>
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Strengths of cohort analytic study

  • Potentially less costly and more feasible than an RCT

  • Exposure precedes outcome - temporality


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Weaknesses of cohort analytic study

  • costly

  • selection bias where groups may differ in ways other than exposure to the intervention

  • baseline differences where groups may differ in characteristics before intervention began


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single group pre/post-test design

  • used when it is not possble to have a comparison or control group (experiemental and control group are the same)

  • outcomes are measured prior to and after an intervention


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case control study

  • compares people who have a specific outcome or disease with people do not have outcome to look retrospectively at past exposures

  • can determine if the exposure is associated or correlated with the outcome but cannot confirm that the intervention causes the outcome


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two group, post-test only design

  • measures outcome data (post-test) in participants following exposure to the intervention


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cohort study

  • follows a sample forwards in time (prospectively) or backwards in time (retrospectively) to see if they are exposed to the exposure of interest and if they develop the outcome of interest

  • no random allocation


<ul><li><p>follows a sample forwards in time (prospectively) or backwards in time (retrospectively) to see if they are exposed to the exposure of interest and if they develop the outcome of interest</p></li><li><p>no random allocation</p></li></ul><p></p>
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strengths of cohort study

  • good for studying rare exposures

  • temporality

  • multiple outcomes

  • best for evaluating risk factors


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weaknesses of cohort study

  • lack of a control group

  • inefficient for studying rare outcomes

  • follow up takes a long time

    • contamination where long follow ups could mean that other factors could cause certain outcomes



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case-control study

  • identifies participants with AND without outcome of interest and looks retrospectively to collect data about participant exposure to a certain risk factor


<ul><li><p>identifies participants with AND without outcome of interest and looks retrospectively to collect data about participant exposure to a certain risk factor</p></li></ul><p></p>
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strengths of case-control study

  • quicker and more cost-efficient than cohort study

  • good for study of rare OUTCOMES and common EXPOSURES

  • includes control group

  • can examine multiple exposures


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weaknesses of case control study

  • difficult to obtain temporality

  • difficult to obtain accurate information on exposure

  • cannot examine multiple outcomes


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cross sectional study

  • follows participants throughout life at the same point in time for each participant

  • measures exposure and outcome data


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descriptive cross sectional survey

  • group of people interviewed/asked to complete a survey to determine whether they have experienced an exposure of interest and an outcome of interest


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strengths of descriptive cross sectional survey

  • cost efficient and quick

  • good for exploratory research phase where potential causal factors can be identified


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weaknesses of descriptive cross sectional survey

  • no temporality

  • difficult to obtain exposure information

  • there may be no control group