Study Design Flashcards

1
Q

Descriptive Studies

A

studies which describe things e.g., surveys, questionnaires finding out general stuff

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2
Q

Analytic Studies

A

studies which test hypotheses: Experimental studies e.g., randomised controlled trials OR Observational studies e.g., cohort studies; case-control studies

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3
Q

Population

A

a complete set of entities or elements or units or people that we wish to describe or make inference about

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4
Q

Sample

A

a subset of a population

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5
Q

Sampling Frame

A

a list of items in a population from which a sample is drawn. Rarely coincides with the entire population of interest

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6
Q

Sources of Error

A

Random error (chance) OR Systematic error in a descriptive study (bias)

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7
Q

Random error (chance)

A

Error due to variability of things we’re measuring

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8
Q

Systematic error (bias)

A

Error due to bias (how close we are to the subject)

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9
Q

Increasing sample size can reduce…

A

Random error but NOT systematic error

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10
Q

Probability sampling

A

helps to justify the statistical models which will be introduced in this course

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11
Q

Simple random sample

A

For a finite population of size N draw a sample of size n such that each possible sample has the same probability of being selected.

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12
Q

Stratified sampling

A
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