Unit 5: Sampling Design - Practice Quiz

DEMGN832 — Research Methodology 60 Questions
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1 What is the first step in the sampling design process?

Sampling design process Easy
A. Writing the research report
B. Interpreting the collected data
C. Defining the target population
D. Calculating the sample results

2 What is a sampling frame?

Sampling design process Easy
A. A table of statistical results
B. A schedule for data collection
C. A list of population elements
D. A summary of research findings

3 What does determining the sample size involve?

Sampling design process Easy
A. Choosing how results are displayed
B. Identifying the dependent variable
C. Deciding how many units to study
D. Selecting the final research title

4 Why is the sampling unit specified in a sampling design?

Sampling design process Easy
A. To identify the element being selected
B. To calculate the research budget
C. To explain the study limitations
D. To summarize the collected responses

5 Which characteristic means that a sample closely reflects its population?

Characteristics of a good sample Easy
A. Uniformity
B. Representativeness
C. Convenience
D. Complexity

6 A good sample should have which type of sampling error?

Characteristics of a good sample Easy
A. Maximum sampling error
B. Unknown sampling error
C. Minimum sampling error
D. Increasing sampling error

7 What does an adequate sample size help improve?

Characteristics of a good sample Easy
A. Number of research topics
B. Reliability of estimates
C. Length of the questionnaire
D. Style of the final report

8 Which quality makes a sample practical to study with available resources?

Characteristics of a good sample Easy
A. Uniformity
B. Feasibility
C. Randomness
D. Complexity

9 What are the two broad types of sampling design?

Types of sampling design Easy
A. Qualitative and quantitative sampling
B. Probability and non-probability sampling
C. Primary and secondary sampling
D. Internal and external sampling

10 In probability sampling, how are population units selected?

Types of sampling design Easy
A. By ease of accessibility
B. By participant recommendations
C. By the researcher's preference
D. By a random selection process

11 Which feature is typical of non-probability sampling?

Types of sampling design Easy
A. Selection chances are unknown
B. Every subgroup is sampled randomly
C. Every unit receives a number
D. Selection chances are always equal

12 Which sampling design is generally more suitable for statistical generalization?

Types of sampling design Easy
A. Judgment sampling
B. Snowball sampling
C. Convenience sampling
D. Probability sampling

13 Which technique gives every population member an equal chance of selection?

Random sampling techniques Easy
A. Simple random sampling
B. Judgment sampling
C. Quota sampling
D. Snowball sampling

14 Which sampling technique selects every th unit from an ordered list?

Random sampling techniques Easy
A. Purposive sampling
B. Cluster sampling
C. Systematic sampling
D. Stratified sampling

15 In which technique is the population divided into homogeneous subgroups before sampling?

Random sampling techniques Easy
A. Systematic sampling
B. Stratified sampling
C. Snowball sampling
D. Convenience sampling

16 Which technique randomly selects entire groups, such as schools or villages?

Random sampling techniques Easy
A. Quota sampling
B. Cluster sampling
C. Systematic sampling
D. Judgment sampling

17 Which technique selects participants because they are easy to reach?

Non-random sampling techniques Easy
A. Stratified sampling
B. Systematic sampling
C. Convenience sampling
D. Cluster sampling

18 Which technique selects participants based on the researcher's expert judgment?

Non-random sampling techniques Easy
A. Systematic sampling
B. Purposive sampling
C. Cluster sampling
D. Simple random sampling

19 Which technique asks existing participants to recommend other participants?

Non-random sampling techniques Easy
A. Systematic sampling
B. Snowball sampling
C. Stratified sampling
D. Quota sampling

20 Which technique selects participants until predetermined category totals are reached?

Non-random sampling techniques Easy
A. Simple random sampling
B. Cluster sampling
C. Quota sampling
D. Systematic sampling

21 A researcher wants to study job satisfaction among 2,400 employees working in six departments. Before choosing a sampling technique, what should the researcher do first?

Sampling design process Medium
A. Select every tenth employee from payroll
B. Define the target population and sampling unit
C. Replace employees who refuse to respond
D. Calculate the final sampling error

22 A university survey defines its population as all currently enrolled students but uses an outdated hostel list as its sampling frame. Which problem is most likely?

Sampling design process Medium
A. Recall error
B. Coverage error
C. Coding error
D. Interviewer bias

23 A researcher has a fixed budget and requires estimates for both urban and rural households. Which design decision best addresses this requirement?

Sampling design process Medium
A. Use one national convenience sample
B. Survey only the least expensive urban area
C. Treat residence as a basis for stratification
D. Let interviewers choose accessible households

24 A sample size calculation gives 384 respondents, but a response rate of 80% is expected. Approximately how many people should be contacted?

Sampling design process Medium
A. 307
B. 480
C. 384
D. 768

25 Two samples are drawn from the same population. Sample X closely reflects the population's age and income distribution, while Sample Y mainly includes young, high-income respondents. Which quality does Sample X demonstrate more strongly?

Characteristics of a good sample Medium
A. Administrative simplicity
B. Homogeneity
C. Representativeness
D. Convenience

26 A researcher repeatedly draws samples using the same design. The resulting estimates vary only slightly around the population value. Which two qualities are mainly demonstrated?

Characteristics of a good sample Medium
A. Precision and accuracy
B. Simplicity and accessibility
C. Diversity and flexibility
D. Convenience and speed

27 Increasing a simple random sample from 100 to 400 observations, with population variability unchanged, will approximately have what effect on the standard error?

Characteristics of a good sample Medium
A. It will be halved
B. It will be quartered
C. It will remain unchanged
D. It will be doubled

28 A large online poll allows anyone visiting a news website to participate. Why may its large sample still produce poor estimates of public opinion?

Characteristics of a good sample Medium
A. Large samples always increase sampling bias
B. Public opinion requires a complete census
C. Self-selection can create systematic bias
D. Online responses cannot be analyzed statistically

29 A national study randomly selects districts, then schools within selected districts, and finally students within selected schools. Which sampling design is being used?

Types of sampling design Medium
A. Systematic sampling
B. Multistage sampling
C. Quota sampling
D. Judgment sampling

30 A city is divided into 80 neighborhoods. Ten neighborhoods are randomly selected, and every household in those neighborhoods is surveyed. Which design is this?

Types of sampling design Medium
A. Quota sampling
B. Proportionate stratified sampling
C. Systematic random sampling
D. One-stage cluster sampling

31 Which situation most strongly favors stratified sampling rather than cluster sampling?

Types of sampling design Medium
A. Subgroups differ internally and each needs representation
B. Natural groups are miniature versions of the population
C. Travel costs dominate all other research concerns
D. A complete list exists only for geographic groups

32 A company samples 10% of employees from each department, with the number chosen from each department proportional to its size. What design is used?

Types of sampling design Medium
A. Single-stage cluster sampling
B. Proportionate stratified sampling
C. Fixed quota sampling
D. Disproportionate stratified sampling

33 A population list contains 1,200 names, and a systematic sample of 100 is required. After choosing a random start from 1 to 12, which interval should be used?

Random sampling techniques Medium
A. Every 12th name
B. Every 100th name
C. Every 10th name
D. Every 120th name

34 A factory uses systematic sampling on a production list where every 20th item comes from the same machine. The sampling interval is also 20. What is the main risk?

Random sampling techniques Medium
A. Periodicity may bias the sample
B. Random starts become impossible
C. Each item will have equal representation
D. The sample size will necessarily double

35 In simple random sampling without replacement, 50 students are selected from 500. What is the probability that any particular student is included?

Random sampling techniques Medium
A.
B.
C.
D.

36 A small occupational group makes up 2% of a population but must be analyzed separately. Which probability approach is most appropriate?

Random sampling techniques Medium
A. Disproportionate stratified sampling
B. One-stage cluster sampling
C. Proportionate stratified sampling
D. Unrestricted systematic sampling

37 A researcher studying an undocumented migrant community asks each participant to refer other eligible participants. Which method is being used?

Non-random sampling techniques Medium
A. Stratified sampling
B. Systematic sampling
C. Snowball sampling
D. Quota sampling

38 Interviewers must recruit 60 women and 40 men at a shopping center, but they may choose any available individuals within each category. Which method is this?

Non-random sampling techniques Medium
A. Simple random sampling
B. Cluster sampling
C. Quota sampling
D. Stratified random sampling

39 A researcher deliberately selects experienced emergency physicians because they possess specialized knowledge relevant to the study. Which technique is most appropriate?

Non-random sampling techniques Medium
A. Systematic sampling
B. Cluster sampling
C. Convenience sampling
D. Purposive sampling

40 A lecturer surveys students who remain in the classroom after an optional seminar because they are easiest to reach. What is the main limitation of this method?

Non-random sampling techniques Medium
A. The sample may differ systematically from other students
B. The sample requires a complete student sampling frame
C. The method guarantees excessive financial cost
D. The method gives every student an equal probability

41 A national study defines its target population as all adults who usually reside in private households. Its sampling frame is an electoral register that excludes nonregistered adults and retains some people who have moved abroad. Which pair of errors is present before any sampled person is contacted?

Sampling design process Hard
A. Undercoverage and overcoverage
B. Unit nonresponse and undercoverage
C. Item nonresponse and measurement error
D. Sampling variance and overcoverage

42 A researcher must estimate a population mean with margin of error at 95% confidence. A pilot study gives . Ignoring finite population correction and nonresponse, what is the smallest required sample size using with ?

Sampling design process Hard
A. 142
B. 139
C. 148
D. 135

43 A probability sample is selected correctly, but only 60% respond. Response propensity depends strongly on age, which is known for every sampled unit, and age also predicts the outcome. Which revision most directly addresses the resulting risk during estimation?

Sampling design process Hard
A. Report the unweighted mean with a smaller confidence level
B. Adjust weights within age-based response classes
C. Increase every respondent's weight by the same factor
D. Replace missing outcomes with the overall respondent mean

44 A firm wants separate estimates for three rare occupational groups as well as an overall workforce estimate. A simple random sample would include too few members of each rare group. Which design-stage decision best meets both objectives?

Sampling design process Hard
A. Create convenience quotas for the rare groups at each worksite and treat the resulting cases as a self-weighting probability sample
B. Oversample the rare groups and use design weights
C. Oversample the rare groups and analyze all cases unweighted
D. Sample only the rare groups and impute the remaining workforce

45 Two unbiased designs estimate the same population mean. Design A has variance and expected cost ; Design B has variance and expected cost . If quality is judged by minimizing , which design is more efficient?

Characteristics of a good sample Hard
A. Design A, because its criterion value is
B. Design B, because lower variance always dominates cost
C. Design A, because its standard error is
D. Design B, because its criterion value is

46 A very large online opt-in sample closely matches population margins for age, sex, and region after weighting. Which conclusion is most defensible?

Characteristics of a good sample Hard
A. Bias may remain from unmeasured selection-related variables
B. Weighting converts every volunteer sample into a probability sample with known inclusion probabilities and therefore supports exact randomization-based inference
C. Margin matching guarantees design-unbiased estimates
D. Large size guarantees negligible selection bias

47 A cluster sample has respondents per cluster and an intracluster correlation of . Under equal cluster sizes, what is the approximate design effect relative to simple random sampling?

Characteristics of a good sample Hard
A.
B.
C.
D.

48 A sample estimate has a very small reported standard error, but the frame omits 20% of the target population whose outcome values are systematically higher. Which assessment is correct?

Characteristics of a good sample Hard
A. The estimate is precise but potentially biased
B. The estimate is representative because its standard error is small
C. The estimate is unbiased but statistically inefficient
D. The estimate becomes unbiased once the nominal sample size exceeds the omitted population count

49 A researcher randomly selects 30 hospitals, then independently draws a simple random sample of nurses within each selected hospital. How should this design be classified?

Types of sampling design Hard
A. Stratified random sampling
B. One-stage cluster sampling
C. Two-stage cluster sampling
D. Systematic element sampling

50 A population is divided into mutually exclusive income bands, and an independent random sample is taken from every band. Which feature distinguishes this design from cluster sampling?

Types of sampling design Hard
A. Only selected strata contribute sampled units
B. Every element receives the same final inclusion probability regardless of the stratum allocation selected by the researcher
C. Income bands must have equal population sizes
D. Every stratum contributes sampled units

51 A survey selects villages with probability proportional to population size and then selects exactly 20 households by simple random sampling within each chosen village. Ignoring repeated village selection, when is the household sample approximately self-weighting?

Types of sampling design Hard
A. When the number of selected villages is proportional to the observed response rate in each village
B. When household outcomes have equal within-village variance
C. When every village has the same geographic area
D. When village selection probability is proportional to household count

52 Which design is best described as a probability design even though sampled units can have unequal inclusion probabilities?

Types of sampling design Hard
A. Probability-proportional-to-size sampling with known measures of size
B. Quota sampling using interviewer-selected cases within demographic cells
C. Snowball sampling that continues until no participant supplies a new referral and all observed network components appear saturated
D. Purposive sampling of cases judged to be maximally informative

53 A population has two strata with and , where is per-unit cost. Under optimum allocation with unequal costs, . For total , what allocation is optimal?

Random sampling techniques Hard
A.
B.
C.
D.

54 A systematic sample of every 10th unit is drawn after one random start from a production list arranged in a repeating cycle of exactly 10 machine positions. What is the central design risk?

Random sampling techniques Hard
A. Every unit obtains an inclusion probability greater than
B. The estimator is automatically unbiased because a random start eliminates any effect of ordering or periodicity in the frame
C. The sampling interval becomes random after the first selection
D. The sample may repeatedly select one machine position

55 In unequal-probability sampling without replacement, unit has inclusion probability . Which estimator of the population total is design-unbiased under the sampling design?

Random sampling techniques Hard
A.
B.
C.
D.

56 From a finite population of , an SRS without replacement of produces an estimated standard error of when the finite population correction is ignored. What is the corrected standard error using ?

Random sampling techniques Hard
A.
B.
C.
D.

57 Interviewers must fill age-by-sex quotas but may approach anyone they prefer within each quota cell. Why does this remain non-random sampling?

Non-random sampling techniques Hard
A. Population proportions are used to set targets
B. Quota cells are mutually exclusive
C. Within-cell inclusion probabilities are unknown
D. The final sample cannot contain the same number of respondents in every age-by-sex group unless replacement sampling is explicitly permitted

58 A study of an undocumented and socially connected population recruits initial participants purposively and asks each participant to refer others. Which limitation most directly threatens estimation of population prevalence?

Non-random sampling techniques Hard
A. Recruitment depends on network ties and seed selection
B. The method requires a complete conventional sampling frame
C. Sampling variance must be zero because participants recruit acquaintances with similar characteristics
D. Every referral necessarily has the same selection probability

59 A qualitative researcher deliberately chooses cases that sharply differ on organizational size, ownership, and region to examine whether a proposed mechanism appears across diverse contexts. Which technique is being used?

Non-random sampling techniques Hard
A. Convenience sampling
B. Maximum-variation purposive sampling
C. Proportionate stratified random sampling
D. Homogeneous purposive sampling

60 An opt-in web poll reports that 72% support a policy, with a conventional SRS margin of error of . Which interpretation is methodologically strongest?

Non-random sampling techniques Hard
A. The margin of error omits unknown self-selection bias
B. The margin remains valid after weighting because demographic calibration reconstructs all unknown inclusion probabilities for every member of the target population
C. The stated margin fully captures coverage and nonresponse errors
D. The estimate is design-unbiased because the sample is large