Week 2 Flashcards

1
Q

What are the two overarching types of study designs?

A

Descriptive and analytic study designs

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

What is the purpose of a descriptive study design?

A

To simply examine (describes) exposures (IV) and outcomes (DV).

Doesn’t establish any relationship between exposures and outcomes.

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

What is the purpose of an analytical study design?

A

To establish a link between the exposure and outcome.

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

How is causation established?

A

Correlation is established, then association, then eventually with enough research, causation.

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

Name four types of descriptive study designs.

A
  1. Case study
  2. Case report
  3. Case series
  4. Cross-sectional
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Name the two types of analytical study designs.

A
  1. Observational designs
  2. Intervention/experimental designs
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Name three observation study designs.

A
  1. Cross-sectional
  2. Ecological/correlational
  3. Cohort
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What are two types of intervention/experimental study designs?

A
  1. Randomised design (Randomised Controlled Trials [RCT])
  2. Non-Randomised design (Quasi-experimental design)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

How to write a research question for an intervention/experimental design?

A

PICO
Population (of interest)
Intervention
Control group (Comparison)
Outcome (variable measured to see if intervention worked)

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

How to write a research question for an observational design?

A

PECO
Population (of interest)
Exposure (determinant; risk factor; beneficial factor)
Comparison group (people without exposure)
Outcome (variable with visible link to exposure)

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

Name three common measures of morbidity.

A
  1. Prevalence
  2. Cumulative incidence
  3. Incidence rate
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Describe prevalence.

A

The number of existing cases in a population at a point in time or during a period of time.

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

What is the formula for prevalence?

A

number of cases in population / total population at that time

(calculate as percentage with 2 decimal points)

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

Describe cumulative incidence rate.

A

Number of new cases over a specified period of time divided by total number of people in the population at risk in the beginning.

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

What is the formula for cumulative incidence?

A

New cases during time period / At risk or disease-free population at the beginning of the time period

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

Describe incidence rate.

A

Number of new cases during a specific period of time divided by the total disease free person time in a population at risk.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

What is disease-free time?

A

Collective time when people are at risk. It can be measured in person-years, person-months, person-days etc.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

What is the formula for incidence rate?

A

New cases during a specified time period / total disease-free time

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

Define a sample.

A

A subset of a population of interest.

20
Q

What is sampling?

A

The process of how we choose a subset of a population.

21
Q

What is one important characteristic of a sample?

A

Representativeness: a sample must be representative of the population

22
Q

What are probability samples?

A

Samples usually obtained using random chance selection where everyone has equal chance to be in the sample.

23
Q

What are two advantages of probability samples?

A
  1. Representative of the population
  2. Meets the requirement for statistical tests and statistical inference
24
Q

What is sampling error?

A

The difference between sample results and the true value for the population.

25
Q

What is another term for sampling error?

26
Q

What is chance?

A

The likelihood a result from a sample is produced by random factors.

27
Q

How to ensure results are real and not due to chance factors?

A

Using statistical tests:

P value high (>5%) = higher likelihood of results due to chance

P value low (<5%) = lower likelihood of results due to chance

28
Q

What are the two categories of sampling?

A
  1. Probability sampling
  2. Non-Probability sampling
29
Q

What is random sampling?

A

Probability sampling

30
Q

What is non-random sampling?

A

Non-probability sampling

31
Q

What three factors affect the choice of sampling method?

A
  1. Research question
  2. Method of which data is collected
  3. Availability of a good sampling frame
32
Q

Name the four types of probability sampling methods.

A
  1. Simple random sample
  2. Systematic random sample
  3. Stratified random sample
  4. Cluster sample
33
Q

What is simple random sampling?

A

Every subject has an equal opportunity / probability to be in the sample

34
Q

What is systematic random sampling?

A

Selection of specific items in a series according to some predetermined sequence. Origin of the sequence should be controlled by chance.

35
Q

What is stratified random sampling?

A

When the population is subdivided into smaller homogenous groups (strata) to get a more accurate representation.

36
Q

What are the two steps to performing stratified random sampling?

A
  1. Breaking the population into non-overlapping groups (strata)
  2. Simple random sample extracted from each stratum
37
Q

What is a cluster sample?

A

Sampling of naturally occurring “clusters” (e.g., schools, households, suburbs etc.)

38
Q

What are the four types of non-probability samples?

A
  1. Convenience sample
  2. Quota sample
  3. Purposive sample
  4. Snow ball sample
39
Q

What is a Convenience Sample?

A

Selecting anyone who agrees to take part when recruited easily and quickly with minimal effort.

40
Q

What is a Quota Sample?

A

Similar to stratified sample.
Researcher decides which strata are relevant and how many should be in each quota. Researcher selects them for best fit non-randomly.

41
Q

What is a Purposive Sample?

A

Researcher selects respondents who best meet the purpose of the study. Good for experienced researchers with prior knowledge and skill.

42
Q

What is a Snow Ball Sample?

A

A person fitting the criteria is interviewed and asked if they know others fitting the same criteria.

43
Q

What are the two types of validity?

A
  1. Internal validity
  2. External validity
44
Q

What is Internal Validity?

A

The results are true or closer to the truth for those who took part in the study.

45
Q

What is External Validity?

A

The extent to which the results can be generalised to those outside of the study.

46
Q

What two things affect reliability?

A

Random error and systematic error

47
Q

What are three types of bias?

A
  1. Selection bias
  2. Information bias
  3. Confounding bias