Module 2 Flashcards

(42 cards)

1
Q

Stages in Sample Selection (1)

A

Define target population

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2
Q

Stages in Sample Selection (2)

A

Select sampling frame

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3
Q

Stages in Sample Selection (3)

A

Define if probability or non probability

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4
Q

Stages in Sample Selection (4)

A

Plan procedure for selecting sampling units

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5
Q

Stages in Sample Selection (5)

A

Determine sample size

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6
Q

Stages in Sample Selection (6)

A

Select actual sampling units

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7
Q

Stages in Sample Selection (7)

A

Conduct field work

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8
Q

All items or individuals of interest

A

Population

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9
Q

A finite subset of statistical individuals obtained from the population

A

Sample

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10
Q

To select a portion from the population

A

Sampling

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11
Q

Population pyramids

A

A. Rapidly Explanding
B. Expanding
C. Stationary
D. Contracting

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12
Q

Probability sampling techniques

A

Simple random
Systematic
Stratified random
Cluster

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13
Q

Non probability sampling techniques

A
Quota 
Snowball 
Self selection 
Convenient 
Purposive
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14
Q

Types of purposive sampling

A
Extreme case 
Heterogenous 
Homogenous 
Critical case 
Typical case
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15
Q

It refers to the sampling “lottery method”

A

Simple random sampling

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16
Q

The population is divided into groups based on some characteristi gs

List of Clients
Strata
Random subsamples of n/N

A

Stratified Sampling

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17
Q

Every member of the population is assigned to only one group

A

Cluster sampling

18
Q

A list of every member of the populating

Intervals

A

Systemic random sampling

19
Q

Quota sampling

A

Proportional quota sampling

Non proportional quota sampling

20
Q

The population of interest is represented almost exactly by the percentage of each cell in the final survey results

A

Proportional quota sampling

21
Q

“Soft quotas”

Captures a minimum number of respondents in a specific group

A

Non proportional quota sampling

22
Q

The researchers chooses a sample that is readily available in some non random way

A

Convenience sampling

23
Q

The respondents decide whether or not to participate

A

Self selection sampling

24
Q

It asks respondents to recommend other respondents who might subsequently be invited to take the survey

A

Snowball sampling

25
The interview or study designer chooses sampled units who by their judgement will meet the specific purpose of the survey
Purposive sampling
26
The goal is not to be representative of views on an issue but “to look at it from all angles”
Maximum variance sampling (heterogenous sampling)
27
To deeply explore the views if a group of respondents with the same characteristics
Homogenous sampling
28
It is interested in an in-depth assessment of the typical viewpoits
Typical case sampling
29
It is interested in understanding unusual cases such as successes or failures
Extreme case sampling
30
Studying those cases that have the most to offer in terms of understanding the population
Critical case sampling
31
Surveying experts on a particular topic, with their expertise left to the judgement of the interviewer or study designer
Expert sampling
32
Surveying every single member of a qualifying subgroup
Total population sampling
33
Also called “raw data”
Ungrouped data
34
Data that has not been summarized in any way
Ungrouped data
35
Example: Data set: 5, 2, 10, 12, 8, 12
Ungrouped data
36
Data that has been organized
Grouped data
37
Ofter called the average of numerical set of data
Mean
38
Sum of the values / the number of values
Mean
39
The number that falls in the middle position
The median
40
The set of data that most frequently appears in the set
Mode
41
Highest value - lowest value
The range
42
The ratio if the standard deviation to the mean
Coefficient