Week 5

Question 1

Inclusion criteria

Answer 1

Defined as the key features of the target
population that the investigators will use to answer their research
question.
Typical inclusion criteria include socio-demographic, clinical, and
geographic characteristics. Also consider ability to give consent,
language.
Criteria set boundaries for your study and relate to the research
question

Question 2

Probability sampling

Answer 2

• Based on probability theory
• Random selection of participants (simple, stratified, cluster, systematic)
• Process or procedure that assures that the different units in your population
  have equal probabilities of being chosen
• Manual ways of random selection
• Computer generated selection

Question 3

Non-probability sampling

Answer 3

• Sampling technique where the samples are gathered in a process that does
  not give all the individuals in the population equal chances of being selected
• Quota, convenience, purposeful, snowball, self-selection/ volunteer

Question 4

Statistical power

Answer 4

measure of how likely the study is to produce
statistically significant results for a difference between groups. Ie true
difference and not difference due to chance

Question 5

Simple random sampling

Answer 5

A simple random sample is a subset of a statistical population in which each member of the
subset has an equal probability of being chosen. A simple random sample is meant to be an
unbiased representation of a group.

Question 6

Stratified random sampling

Answer 6

Stratified random sampling is a method of sampling that involves dividing a population into smaller
groups–called strata
Stratified random sampling allows researchers to obtain a sample population that best represents
the entire population being studied
* Stratified random sampling involves dividing the entire population into homogeneous groups
called strata

Question 7

Cluster sampling

Answer 7

divide a population into smaller groups known as clusters. They
then randomly select among these clusters to form a sample. Cluster sampling is a method of
probability sampling that is often used to study large populations, particularly those that are widely
geographically dispersed.