SIR ROWEE FINALS Flashcards

1
Q

is a study that obtains data from every member of a population. In
most studies, is not practical, because of the cost and/or time required.

A

Census:

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

is a study that obtains data from a subset of a
population, in order to estimate population attributes.

A

Sample survey:

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

is a controlled study in which the researcher attempts to
understand cause-and-effect relationships.

A

Experiment:

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

the researcher compares group scores on some dependent variable.

A

analysis phase,

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

attempt to understand
cause-and-effect relationships.

A

Observational study:

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

When the population is large, a sample survey has a big resource advantage
over a census.

A

 Resources.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

refers to the appropriateness of applying findings
from a study to a larger population.

A

Generalizability.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

requires random selection.

A

Generalizability

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Cause-and-effect relationships can be teased out when subjects are
randomly assigned to groups.

A

Causal inference.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

refers to the way that observations are selected from a population to be in
the sample for a sample survey.

A

Sampling method

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

is the true value of apopulation attribute

A

Population parameter.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

is an estimate, based on sample data, of a population
parameter.

A

Sample statistic.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

we do not know the
probability that each population element will be chosen, and/or we cannot be sure that
each population element has a non-zero chance of being chosen.

A

non-probability sampling methods,

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Non-probability sampling methods offer two potential advantages -

A

convenience and cost.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

is made up of people who self-select into the
survey.

A

Voluntary sample.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

is made up of people who are easy to
reach.

A

Convenience sample.

17
Q

the population is divided into groups, based on some characteristic.
Then, within each group, a probability sample (often a simple random sample) is selected.

A

a. Stratified sampling Method

18
Q

every member of the population is assigned to one, and only one, group.
Each group is called a cluster.

A

cluster sampling,

19
Q

we select a sample by using combinations of different sampling
methods.

A

Multistage Sampling

20
Q

we create a list of every member of the population.

A

systematic random sampling,

21
Q

a researcher manipulates one or more variables, while holding all other
variables constant.

A

experiment,

22
Q

(also called a factor) is an explanatory
variable manipulated by the experimenter.

A

Independent variable.

23
Q

refers to steps taken to reduce the effects of extraneous variables

A

CONTROL

24
Q

refers to the practice of using chance methods

A

Randomization.

25
Q

refers to the practice of assigning each treatment to many
experimental units.

A

Replication.

26
Q

occurs when the experimental controls do not allow the experimenter to
reasonably eliminate plausible alternative explanations for an observed relationship between
independent and dependent variables.

A

Confounding