Chapter One Flashcards

(26 cards)

1
Q

Variable

A

Any characteristic recorded for a case
Ex: age, gender

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2
Q

Case

A

Objects we obtain information about

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3
Q

Categorical Variable

A

Divides cases into groups. Each case fits into exactly one out of 2+ categories

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4
Q

Quantitative Variables

A

Measures/ records a numerical quantity for each case. Quantitative

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5
Q

Population

A

All individuals or objects of interest

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6
Q

Sample

A

Subset of the population (denoted by n)

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7
Q

Sampling bias

A

The method of selecting a sample causes the sample to differ from the population

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8
Q

Simple random sample

A

Each unit of the population has the same chance of being selected

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9
Q

Sampling/ selection bias

A

Participants aren’t representative of the population

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10
Q

Non response bias

A

Participants included don’t participate

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11
Q

Response bias

A

Participants who respond are motivated/ pressured to respond in ways that don’t represent their true feelings

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12
Q

Question wording

A

The way questions are phrased influences the way participants respond

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13
Q

Inaccurate responses

A

Forms of bias lead participants to picking answers that don’t represent their true feelings

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14
Q

Association

A

Values of one variable tend to be related to the values of the other variable

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15
Q

Causation

A

Changing the value of one variable influences the value of the other variable

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16
Q

Confounding variable

A

3rd variable associated with both explanatory and response variable. Can offer a plausible explanation or complication between 2 variables of interest

17
Q

Observational study

A

Researcher doesn’t actively control the value of any variable but observes values

18
Q

Randomized experiment

A

The value of the explanatory variable for each unit is determined randomly, before the response is measured.

19
Q

Determining causality

A

Can only be done through a randomized experiment, since it evens out the influence of a confounding variable

20
Q

Randomized comparative experiment

A

Randomly assign cases to different treatment groups and compare results on the response variables

21
Q

Matched pairs experiment

A

Each case gets both treatment in random order, or cases get paired up. Allows us to examine individual differences in the response variable between the two treatments

22
Q

Control group

A

Allows for comparison to see if there’s a difference from before the experiment to after

23
Q

Placebo effect

A

People experience the effect they think they should be experiencing, even if they aren’t receiving treatment

24
Q

Single blind experiment

A

Participants don’t know if they’re being given a real o placebo treatment

25
Double blind experiment
Neither participants or researchers know who gets real or placebo treatment
26
Methods of matching
Each case gets both treatment Cases matched with another case with similar characteristics Family relationships (couples, twins, siblings)