Week 2 - QUANTITATIVE Designs Flashcards
Types of Quantitative Research Designs
Descriptive studies - most basic - usually performed at the start of the research process - CANNOT ESTABLISH CASUAL RELATIONSHIPS TYPES: case report, case series
Observation studies
- data is collected from watching, good for describing the size of the disease and characteristics of the people sick
- CANNOT ACTIVELY INTERVENE
TYPES: cross sectional, case-control, cohort study,
Experimental studies
- clinical trials
TYPES: pre-post, quase-experimental, CCT, RCT
Cross Sectional study
What is it, usefullness, strengths and weaknesses
WHAT: group of people observed at a particular time.
USEFUL FOR: Used to find a relationship/association between a risk factor/characteristic and a condition
STRENGTH:
- fast
- inexpensive
- no loss of follow up (attrition)
- helpful to determine PREVALENCE
WEAKNESS
- cannot determine causality
- can’t study rare outcomes
Cast Control
What is it, usefulness, strengths and weaknesses
WHAT: you work backwards; there are 2 groups (one with disease and other no disease) then researcher works backwards to work out what is the difference
USEFUL FOR: It is useful to determine the strength of the association between each predictor variable and the presence of absence of disease
STRENGTH:
- inexpensive and efficient
- rare outcome
- established association
- *odds ratio is involved in this study as it is the measurement of association between exposure and outcome
WEAKNESS:
- causality difficult to establish
Cohort studies
What is it, usefulness, strengths and weaknesses
WHAT: it is the best observational quantitative design
A cohort of people exposed to risk factors and it tracks them overtime.
USEFUL FOR: knowing if the predictor variable was present before the health outcome occurred. It directly measures incidence (risk of getting a disease over time) of a disease outcome.
STRENGTH:
- what it is useful for
WEAKNESS:
- expensive and inefficient
- need to follow up
- attrition reducing validity
Pre-post study
What is it, strengths and weaknesses
WHAT: you have pre data from sample, expose them tot he intervention, then take data after from the sample.
STRENGTH:
- quick
- easy
- no expensive
WEAKNESS
- don’t know if the intervention was the reason for the post data
Quasi-experimental
What is it, strengths and weaknesses
WHAT: same as pre-post study however there are 2 groups (controlled and intervention) then compare both groups to find conclusions.
WEAKNESS:
- the measurement of these two group is not at the same time (compared over different time periods), seasons can affect arthritis.
Controlled clinical Trial (CCT)
What is it, strengths and weaknesses
WHAT: same as quasi-experimental but the measurement is at the same time
WEAKNESS: there is no randomness of allocation between groups, the researcher could deliberately fudge the groups (make them uneven/dodgy) to get the desired results.
RandomIsed Control Trial (RCT)
What is it, strengths and weaknesses
WHAT: is the best one! same as CCT however the groups are randomly allocated
WEAKNESS:
- expensive
Subtypes of RCT
- cluster RCT (group randomisation/clusters are schools or cities)
- step wedged design (individual receives intervention in each time period)