[06.04b] Sampling Methods and Designs (Part 2) V2.1.pdf

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149 Terms

1
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Stratified Sampling

What sampling method involves organizing the sampling frame into separate "strata" if the population embraces distinct categories?

2
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Independent sub-population

What is each stratum treated as in stratified sampling?

3
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Randomly selected

How are individual elements selected out of each stratum?

4
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The same chance of being selected

What chance does every unit in a stratum have?

5
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Proportionate representation

What does using the same sampling fraction for all strata ensure?

6
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Varying sampling fraction between strata

How can adequate representation of minority subgroups of interest be ensured in stratified sampling?

7
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Different sampling approaches can be applied to different strata

What is possible because each stratum is treated as an independent population?

8
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If there has been stratification in the community (e.g., rural and urban areas)

When might stratified sampling be considered for adequate representation?

9
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Random sampling

What type of sampling is employed independently in urban and rural areas after stratification?

10
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To assess if the regions are different from each other

In a national sense, why might stratification according to regions be needed?

11
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Poverty

What is an example of a characteristic where regions can be more similar?

12
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Logistical consequences

What factor must be considered when grouping populations into strata, as it may require visiting all regions independently?

13
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To ensure equal representation

Why may stratification be needed if very different groups, such as men and women in private schools, are involved?

14
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Sampling frame of the entire population

What must be prepared separately for each stratum, which is a drawback of stratified sampling?

15
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Complicating the design

What happens if stratifying variables are related to some multiple criteria but not others?

16
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Potentially requires a larger sample

What is a drawback of stratified sampling in designs with a large number of strata or a specified minimum sample size per group?

17
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Poststratification

What is the term for stratification sometimes introduced after the sampling phase?

18
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You did not ensure power in each stratum

What is the main problem with poststratification?

19
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Sample size of each stratum was not computed and allocated properly

What specific sample size issue arises in poststratification?

20
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A lack of prior knowledge of an appropriate stratifying variable

What is one reason poststratification might be implemented?

21
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When the experimenter lacks the necessary information to create a stratifying variable during the sampling phase

What is another reason poststratification might be implemented?

22
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Simple random sample

What type of sampling does implementation of poststratification usually follow?

23
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To implement weighting, which can improve the precision of a sample's estimates

In addition to allowing for stratification on an ancillary variable, what can poststratification be used for?

24
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Cluster sampling

What sampling method might be considered if a community is divided into zones (clusters) whose characteristics are not significantly different from each other?

25
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Two-stage sampling

What type of sampling is cluster sampling an example of?

26
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A sample of areas is chosen

What happens in the first stage of cluster sampling?

27
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A sample of respondents within those areas is selected

What happens in the second stage of cluster sampling (in the general definition)?

28
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Geographical contiguity

What are clusters of homogenous units usually based on?

29
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Groups rather than individuals

What are the sampling units in cluster sampling?

30
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All units from the selected clusters are studied

What happens to the units from the selected clusters in classic cluster sampling?

31
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EPI (Expanded Program on Immunization)

What health program often uses cluster sampling to evaluate vaccination coverage?

32
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Cuts down on the cost of preparing a sampling frame

What is one advantage of cluster sampling regarding costs?

33
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Can reduce travel and other administrative costs

What is another advantage of cluster sampling related to logistics?

34
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Sampling error is higher for a simple random sample of the same size

What is a disadvantage of cluster sampling regarding sampling error?

35
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Increase sample size

What is the solution to the higher sampling error in cluster sampling?

36
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Whatever your computed sample size must be increased at some point

What must be done to the sample size in cluster sampling?

37
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To sample everyone within the cluster

What was the reason cluster sampling was being disregarded in a nutrition project, based on the lecturer's experience?

38
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Selecting a group of people at different stages

What is a general description of cluster sampling based on the lecturer's definition?

39
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One-stage sampling

What type of cluster sampling includes all elements within selected clusters in the sample?

40
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Barangay

What is an example of a cluster in one-stage sampling in a city?

41
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Two-stage sampling

What type of cluster sampling involves randomly selecting a subset of elements within selected clusters for inclusion in the sample?

42
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Zones or streets within the barangay

What is an example of the second cluster sampled in two-stage sampling?

43
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Individual or household

What can the sampling unit be at a community level?

44
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The unit of analysis

What can the household be considered if it is the sampling unit and individuals inside are not further sampled?

45
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Non-overlapping subsets of the population

What characteristic do strata and clusters share?

46
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One household can only be considered part of Region 1, and not Region 3

What example illustrates that strata and clusters are non-overlapping and mutually exclusive?

47
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All strata are represented in the sample

What is true about the representation of strata in the sample?

48
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Only a subset of clusters are in the sample

What is true about the representation of clusters in the sample?

49
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Homogeneous

What characteristic describes groups whose characteristics are similar when considered as a cluster (e.g., Zone 1, 2, and 3)?

50
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Variable (heterogeneous) enough to represent the different variabilities in your general population

What property should a cluster sample possess to represent the target population?

51
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Different races, religions, and socioeconomic standing

What heterogeneous characteristics might be captured within a barangay (cluster)?

52
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Externally heterogeneous (different)

What characteristic describes the relationship between groups in stratified sampling?

53
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Internally homogenous (similar)

What characteristic describes the relationship within groups in stratified sampling?

54
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Externally homogenous (similar)

What characteristic describes the relationship between groups in cluster sampling?

55
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Internally heterogeneous (different)

What characteristic describes the relationship within groups in cluster sampling?

56
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Type of residence, region

What are examples of stratified sampling?

57
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Barangays, municipalities, streets

What are examples of cluster sampling?

58
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Cluster Sampling

Which sampling method has a higher sampling error for a simple random sample of the same size?

59
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Two-stage cluster sampling

What type of sampling involves randomly selecting a subset of elements within selected clusters for inclusion in the sample?

60
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Multistage cluster sampling

What is a complex form of cluster sampling in which two or more levels of units are embedded one in the other?

61
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In the national level

When is multistage cluster sampling useful because the organization of the population is complicated?

62
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The process of taking random samples of preceding random samples

What is the technique essentially in multistage cluster sampling?

63
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It banks on multiple randomizations

Why is multistage cluster sampling an effective strategy?

64
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When a complete list of all members of the population does not exist and is inappropriate

When is multistage cluster sampling frequently used?

65
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It avoids the large, and perhaps unnecessary costs associated with traditional cluster sampling

What cost advantage does multistage sampling provide over traditional cluster sampling?

66
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Philippines Multisectoral Nutrition Project (PMNP)

What DOH and DSWD project, funded by World Bank and UNICEF, is used as an example of multistage cluster sampling?

67
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Improvement in the stunting of children, less than six months (breastfeeding) and 6 to 23 months old

What were the indicators measured in the PMNP example?

68
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Municipality

What was the first stage of cluster sampling in the PMNP example?

69
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Barangay

What was the second stage of cluster sampling in the PMNP example?

70
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Systematic Sampling of Children

What was the third stage of sampling in the PMNP example?

71
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Multiphase sampling

What type of sampling design involves collecting required information from a large sample, and additional information from sub-samples of the whole sample?

72
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Expensive diagnostic tests

What is a common challenge that necessitates collecting sub-samples within an established sample in multi-phase sampling?

73
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Less costly, less laborious, and more purposeful

How is a survey by multi-phase procedure described?

74
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There will be a loss of information

What is the consequence of performing subset analysis due to the cost of diagnostic procedures?

75
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TB survey MT in all cases

What is the Phase I example of multi-phase sampling given?

76
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X-Ray chest in MT positive cases

What is the Phase II example of multi-phase sampling given?

77
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Sputum Examination in X-ray positive cases

What is the Phase III example of multi-phase sampling given?

78
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Quota sampling

What non-probability sampling method first segments the population into mutually exclusive sub-groups, similar to stratified sampling?

79
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Judgement

What is used to select subjects or units from each segment in quota sampling, based on a specified proportion?

80
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An interviewer may be told to sample 200 females and 300 males between the age of 45 and 60

What is an example of a specified proportion used in quota sampling?

81
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The second step (using judgment to select subjects)

What makes quota sampling a technique of non-probability sampling?

82
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Non-random

How is the selection of the sample described in quota sampling?

83
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They might be biased

What is the problem with samples in quota sampling because not everyone gets a chance of selection?

84
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It is its greatest weakness

How is the random element (or lack thereof) described in quota sampling?

85
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Convenience sampling

What non-probability sampling method is based on convenience and only samples those within one's capacity?

86
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Grab sampling, opportunity sampling, accidental sampling, or haphazard sampling

What are four other names for convenience sampling?

87
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Drawn from that part of the population which is close to hand

From where is the sample drawn in convenience sampling?

88
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Readily available and convenient

What are two characteristics of the source of the sample in convenience sampling?

89
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Cannot scientifically make generalizations about the total population

What is the scientific limitation of a researcher using convenience sampling?

90
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It is not representative enough

Why can generalizations not be made from a convenience sample?

91
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Pilot testing

What is convenience sampling most useful for?

92
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Snowball sampling

What similar technique to convenience sampling is used in social science research, where existing subjects recruit more subjects?

93
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Bias is not really a problem

Why is snowball sampling acceptable in social science research, which is qualitative?

94
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Judgemental or Purposive Sampling

What non-probability sampling method involves the researcher choosing the sample based on who they think would be appropriate for the study?

95
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When there is a limited number of people that have expertise in the area being researched

When is purposive sampling primarily used?

96
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Random sampling

What type of sampling is always desired in quantitative research?

97
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It ensures that everyone in the sampling population is given the chance to be selected

Why is random sampling desired in quantitative research?

98
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Convenience sampling

What non-probability method may be done if random sampling is not possible?

99
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Sampling frame is difficult to gather or the population is dynamic and locomotive

What are two examples of conditions where convenience sampling might be necessary?

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In the limitations of your study

Where must the use of convenience sampling be stated?