Collecting Data Flashcards

1
Q

Numerical Value

A

range of numerical values, average, sum, and difference

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

Discrete

A

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

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

Ordinal variable

A

categorical value with natural ordering

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

Nominal variable

A

categorical variable without natural ordering

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

Associated/Dependent variable

A

2 variables show connection with each other

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

Independent variables

A

2 variables are not associated

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

Continous

A

all values within a range are possible

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

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

Response Variable

A

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

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

Sample

A

subset of cases and often a fraction of the population

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

Variable

A

characteristic measured for each individual/case

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

Anecdotal evidence

A

data collected in a haphazard fashion

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

Observational Study

A

collecting data without interfering with how the data arises

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

Cohort

A

group of subjects are share a defining characteristic

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

Randomized Experiment

A

individuals are randomly assigned to a group

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

Volunteer sample

A

people’s responses are solicited and those who choose to participate, respond

15
Q

Systematic random sample

A

choosing from population using random starting point and then selecting members according to a fixed, periodic interval

16
Q

Stratified random sample

A

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
Q

Cluster random sample

A

randomly selecting a set of clusters/groups and then collecting data on all individuals in the selected clusters; individual clusters should be heterogeneous

18
Q

Multistage sampling or Multistage cluster sampling

A

2 or more step strategy

19
Q

Blind/Single blind

A

keeping subjects uninformed about their treatment

20
Q

Placebo effect

A

placebo results in a slight but real improvement in subjects

21
Q

Direct control

A

variables are controlled and any other differences in the groups; making groups identical as possible except for the treatment group

22
Q

Randomization

A

subjects are randomized and put into treatment groups to account for variables that are not controlled

23
Q

Replication

A

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
Q

Completely randomized experiment

A

subjects are randomly assigned to different treatment groups

25
Q

Blocked experiment

A

subjects are first separated by variable (thought to affect response variable) into blocks; each block has subjects randomly assigned to treatment groups

26
Q

Matched pairs experiment

A

pairs of subjects are matched on as many variables as possible so that the comparison happens between very similar cases