Key Features of Quantitative Research Flashcards

1
Q

What type of data is collected and how can it be collected?

A

(Measureable data)

1) Survey
2) Observation
3) Experiment

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Prior to carrying out quantitative research, what things need to be collected?

A

1) Aim
2) Objectives
3) Hypothesis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is an aim?

A

Broad statement of what will occur in the research

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is the objective and what can sometimes be made from the objective?

A

The aim in more detail and a research question can be dervived from the objective

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is a hypothesis?

A

A statement about the relationship between the variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What are variables?

A

Characteristics of people or of situations

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What must quantitative procedures be and why?

A

Standardised procedures - so that they can be repeated

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What 2 things must the outcome measure be?

A

1) Valid - it must measure what it intends to measure

2) Reliable - if it was measured again, under the same conditions, it would give the same results

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

How should the results be presented?

A

Statistically (e.g. numbers)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

When analysing the data what 3 things should be focused on?

A

1) Falsification
2) Establishing casual relationships
3) Establishing the relationship between variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is falsification?

A

Hypothesis Testing

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What does establishing causal relationships mean?

A

The result of the study must be caused by the effect tested

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What does establishing the relationship between variables mean?

A

A statistical relationship between variables must be shown.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

The Hierarchy of Quantitative Research Designs?

A

1) Random control trails (RCT’S)
2) Cohort studies
3) Case Control studies
4) Descriptive studies (case series/case reports)
5) Expert Opinion

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

How is a RCT carried out?

A

Randomly allocate participants into 2 groups and give the intervention to 1 group and then compare

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Benefits and limitations of RCT’s?

A

Benefit - simple design

Limitation - Couldn’t be carried out in a healthcare setting due to ethical issues.

17
Q

What are case cohort studies and case control?

A

Observational studies that do not involve interventions but instead look for the association between 1 entity and another

18
Q

What is the main advantage of cohort studies over case control studies?

A

Data is collected prospectively (forwardly) which allows for:

1) The data to be collected that you want rather than what is available in a historical context.
2) Allows for data to be collected more accurately

19
Q

What occurs in a cohort study?

A

Data is collected prospectively (forward)
A group which display risk factors (e.g. smoking) are matched with those that don’t display risk factors (don’t smoke) and then you would see over time who displays a condition (e.g lung cancer)

20
Q

What occurs in a case control study?

A

Data is collected retrospectively (backwards)

A group who already has the condition (e.g. lung cancer) is matched with those that don’t have the condition

21
Q

If an association is seen between 1 entity and another in case control studies, why is it hard to establish causality between the entities?

A

As case control studies do not fulfil all of Bradford-Hill’s criteria for causality

22
Q

What is Bradford-Hill’s criteria for causality?

A

Lists 8 different criterias for causality that must all be fulfilled in order for a causal relationship to be confirmed between 2 entities.

23
Q

The 8 Bradford-Hill’s criteria for causality?

A

1) Temporal = did the condition occur after being exposed to the risk factor?
2) Strength = The stronger the association between the entities, the more likely the relationships is causal.
3) Dose relationship = If the risk factor exposure increases and the liklihood of the condition increases with it
4) Replication of findings = someone else getting the same results in a different setting
5) Biological Plausibility = do the results fit in with what we already know about biology?
6) Consideration of alternative explanations = Have other possible causes been considered and if so have these been shown to be ruled out?
7) Experiment = Has there been evidence to show that if the risk factor is removed, does it lead to improved health?
8) Coherence with established facts = do the results fit in with past knowledge?

24
Q

What do descriptive studies measure (case reports/case series)?

A

They measure the progression of a disease. As the sample size of both descriptive studies are small - they only collect Pilot data.
Pilot data will give a general direction of the effects and so will convince researchers that a larger scale study would be worthwhile.

25
Q

Sample size of case reports?

A

Less than 10 participants

26
Q

Sample size of case series?

A

More than 10 participants

27
Q

What is the disadvantage of expert opinion and why is it included in the quantitative hierarchy of research designs?

A

Expert opinion is subjective and so there is a high chance of bias. It is still included in the hierarchy because in some areas of study there has been little quantitative research being carried out and so the only information available is from experts within the area.