Collecting Data Flashcards

1
Q

Numerical Value

A

range of numerical values, average, sum, and difference

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2
Q

Discrete

A

numeric values with jumps and it is finite (has a limit)

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3
Q

Ordinal variable

A

categorical value with natural ordering

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3
Q

Nominal variable

A

categorical variable without natural ordering

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3
Q

Associated/Dependent variable

A

2 variables show connection with each other

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3
Q

Independent variables

A

2 variables are not associated

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3
Q

Continous

A

all values within a range are possible

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3
Q

Explanatory Variable

A

variable is used to predict/ explain differences in another variable; also called a factor (has levels like yes/no or low/medium/high)

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3
Q

Response Variable

A

variable is predicted and explained by the explanatory variable; outcome/results

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3
Q

Sample

A

subset of cases and often a fraction of the population

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3
Q

Variable

A

characteristic measured for each individual/case

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3
Q

Anecdotal evidence

A

data collected in a haphazard fashion

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3
Q

Observational Study

A

collecting data without interfering with how the data arises

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4
Q

Cohort

A

group of subjects are share a defining characteristic

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4
Q

Randomized Experiment

A

individuals are randomly assigned to a group

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5
Q

Placebo

A

fake treatment

6
Q

Control group

A

a group that has no effect on it; used to compare with treatment groups and has no independent variable affecting it

7
Q

Treatment group

A

a group that is affected by the independent variable(s); experimental group

8
Q

Confounding/Lurking variable

A

one missing important piece of info

9
Q

Prospective Study

A

identifies individuals and collects info as events unfold

10
Q

Retrospective Study

A

collects data after events have taken place

11
Q

Undercoverage bias

A

occurs when some individuals of the population are inherently less likely to be included in the sample than others

12
Q

Simple random sample

A

each case in the population has an equal chance of being included and no implied connection between cases in the sample

13
Q

Convenience sample

A

individuals who are easily accessible are more likely to be included in the sample

14
Volunteer sample
people's responses are solicited and those who choose to participate, respond
15
Systematic random sample
choosing from population using random starting point and then selecting members according to a fixed, periodic interval
16
Stratified random sample
randomly sampling from every strata (population divided into groups); strata should correspond to a variable thought to be associated with the variable of interest; individual strata should be homogeneous
17
Cluster random sample
randomly selecting a set of clusters/groups and then collecting data on all individuals in the selected clusters; individual clusters should be heterogeneous
18
Multistage sampling or Multistage cluster sampling
2 or more step strategy
19
Blind/Single blind
keeping subjects uninformed about their treatment
20
Placebo effect
placebo results in a slight but real improvement in subjects
21
Direct control
variables are controlled and any other differences in the groups; making groups identical as possible except for the treatment group
22
Randomization
subjects are randomized and put into treatment groups to account for variables that are not controlled
23
Replication
replicating the experiment multiple times to get accurate results; gives more data and decreases the likelihood that treatment groups differ on some characteristics due to chance alone
24
Completely randomized experiment
subjects are randomly assigned to different treatment groups
25
Blocked experiment
subjects are first separated by variable (thought to affect response variable) into blocks; each block has subjects randomly assigned to treatment groups
26
Matched pairs experiment
pairs of subjects are matched on as many variables as possible so that the comparison happens between very similar cases