Unit 5: Sampling techniques - Practice Quiz

PSY115 — Statistical Methods For Psychological Research 60 Questions
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1 What is sampling in psychological research?

sampling Easy
A. Studying every member of a population
B. Measuring only experimental variables
C. Selecting a subset of a population
D. Changing the research hypothesis

2 What is the larger group from which a sample is selected called?

sampling Easy
A. Population
B. Hypothesis
C. Variable
D. Procedure

3 Why do researchers often use samples instead of studying entire populations?

sampling Easy
A. Samples save time and resources
B. Samples eliminate the need for data
C. Samples include every population member
D. Samples remove all research errors

4 A sample should ideally represent which group?

sampling Easy
A. The smallest subgroup
B. The measurement scale
C. The research assistants
D. The target population

5 What is the main feature of probability sampling?

probability sampling and its types Easy
A. Members have a known chance of selection
B. Members volunteer for the study
C. Participants recruit their close friends
D. Researchers select only convenient people

6 Which sampling method gives every population member an equal chance of selection?

probability sampling and its types Easy
A. Convenience sampling
B. Snowball sampling
C. Quota sampling
D. Simple random sampling

7 In systematic sampling, researchers usually select:

probability sampling and its types Easy
A. Participants recommended by others
B. Every th member after a starting point
C. Members from one selected group
D. Only members who volunteer

8 What is the first step in many systematic sampling procedures?

probability sampling and its types Easy
A. Choose a starting point
B. Ask participants to recruit others
C. Interview every participant
D. Remove all population groups

9 Stratified sampling divides a population into groups called:

probability sampling and its types Easy
A. Clusters
B. Variables
C. Experiments
D. Strata

10 In stratified sampling, participants are selected from:

probability sampling and its types Easy
A. Only the largest subgroup
B. Each relevant subgroup
C. The most convenient subgroup
D. One randomly chosen subgroup

11 In cluster sampling, researchers select:

probability sampling and its types Easy
A. Entire groups or clusters
B. Every individual at random
C. Participants with rare traits
D. Only available volunteers

12 Which is an example of a cluster in cluster sampling?

probability sampling and its types Easy
A. A test score
B. A single student
C. A school
D. A questionnaire item

13 What is the main feature of non-probability sampling?

non-probability sampling and its types Easy
A. Everyone has an equal chance
B. Only complete populations are studied
C. Selection always uses random numbers
D. Selection chances are not known

14 Convenience sampling selects participants who are:

non-probability sampling and its types Easy
A. Easy for the researcher to reach
B. Located in every population group
C. Selected at fixed intervals
D. Chosen through a lottery

15 Purposive sampling involves selecting participants because they:

non-probability sampling and its types Easy
A. Have characteristics relevant to the study
B. Are selected by a random number generator
C. Live closest to the research office
D. Appear first on a population list

16 Quota sampling aims to include participants:

non-probability sampling and its types Easy
A. Until planned subgroup numbers are filled
B. Using a random starting number
C. From every member of the population
D. Only from one available subgroup

17 Snowball sampling is especially useful when participants are:

non-probability sampling and its types Easy
A. Equally available in every region
B. Difficult to locate
C. Listed in a complete register
D. Selected by a computer

18 Which is an advantage of probability sampling?

advantages and disadvantages of sampling techniques Easy
A. It requires no population list
B. It guarantees perfect results
C. It always costs nothing
D. It can reduce selection bias

19 Which is a common disadvantage of convenience sampling?

advantages and disadvantages of sampling techniques Easy
A. Every member has an equal chance
B. The sample may not represent the population
C. The method requires a full census
D. The sample always takes many years

20 A major advantage of non-probability sampling is that it is often:

advantages and disadvantages of sampling techniques Easy
A. Quick and inexpensive
B. Free from sampling bias
C. Based on a complete population list
D. More random than all other methods

21 A psychologist wants to estimate the average stress score of all 8,000 students at a university. She studies 400 selected students and uses their average score as an estimate. What is the role of the 400 students?

sampling Medium
A. The sample
B. The parameter
C. The population
D. The sampling frame

22 A researcher defines the target population as all first-year psychology students at a university but collects data only from students attending one afternoon class. Which issue is most likely present?

sampling Medium
A. Improved population validity
B. Randomization of the sample
C. Sampling-frame undercoverage
D. Excessive sample independence

23 A sample has the same proportion of undergraduate and postgraduate students as the university population, but it includes only students who volunteer. Which conclusion is most appropriate?

sampling Medium
A. It represents every student equally
B. It must have zero sampling error
C. It may still contain volunteer bias
D. It is automatically a probability sample

24 A researcher numbers every person in a population from 1 to 2,000 and uses a random-number generator to select 200 numbers without replacement. Which technique is being used?

probability sampling and its types Medium
A. Convenience sampling
B. Quota sampling
C. Systematic sampling
D. Simple random sampling

25 From a list of 3,000 clients, a researcher selects every 15th client after randomly choosing a starting point between 1 and 15. What is the sampling interval?

probability sampling and its types Medium
A.
B.
C.
D.

26 A national survey first divides participants into age groups and then randomly selects people from each group in proportion to that group's population size. Which method is this?

probability sampling and its types Medium
A. Cluster random sampling
B. Stratified random sampling
C. Systematic random sampling
D. Purposive sampling

27 A researcher randomly selects 10 schools and surveys every eligible student in those selected schools. What is the primary sampling method?

probability sampling and its types Medium
A. Cluster sampling
B. Stratified sampling
C. Snowball sampling
D. Quota sampling

28 A population contains 60% women and 40% men. In a proportional stratified sample of 500 people, how many women should be selected?

probability sampling and its types Medium
A. 300
B. 350
C. 200
D. 250

29 Which situation most threatens the validity of a systematic sample?

probability sampling and its types Medium
A. The starting position is randomly selected
B. The list has a repeating pattern matching the interval
C. The list is randomly ordered before selection
D. The interval is calculated from population size

30 Why might a researcher choose cluster sampling instead of simple random sampling when studying students across a country?

probability sampling and its types Medium
A. It reduces travel and administrative costs
B. It eliminates sampling error
C. It requires no population information
D. It guarantees equal subgroup sizes

31 In a probability sample, one eligible person has a known selection probability of . What does this mean?

probability sampling and its types Medium
A. The person will answer with probability
B. The sample contains exactly 2% nonrespondents
C. The person has a known chance of being selected
D. The person represents exactly 2% of responses

32 A researcher recruits participants by approaching people who are readily available in a shopping center. Which sampling method is being used?

non-probability sampling and its types Medium
A. Simple random sampling
B. Cluster sampling
C. Convenience sampling
D. Stratified sampling

33 A study of trauma survivors begins with three participants who refer other eligible survivors to the researcher. Which method is most appropriate to describe this procedure?

non-probability sampling and its types Medium
A. Systematic sampling
B. Snowball sampling
C. Stratified sampling
D. Quota sampling

34 A survey requires 100 participants, including 50 women and 50 men, but interviewers recruit people nonrandomly until each target is reached. Which method is this?

non-probability sampling and its types Medium
A. Systematic sampling
B. Cluster sampling
C. Quota sampling
D. Simple random sampling

35 A study on expert judgments selects clinical psychologists who have at least ten years of specialized experience. Which method is being used?

non-probability sampling and its types Medium
A. Systematic sampling
B. Convenience sampling
C. Cluster sampling
D. Purposive sampling

36 Which feature most clearly distinguishes quota sampling from proportional stratified random sampling?

non-probability sampling and its types Medium
A. Both use population subgroups
B. Stratified sampling excludes subgroup comparisons
C. Quota sampling does not randomly select within subgroups
D. Quota sampling always studies fewer people

37 A researcher uses simple random sampling rather than convenience sampling for a study intended to generalize to the entire population. What is the main advantage?

advantages and disadvantages of sampling techniques Medium
A. It removes all measurement error
B. It guarantees a 100% response rate
C. It makes the sample larger automatically
D. It increases the basis for generalization

38 A researcher chooses cluster sampling and observes that participants within the same school have very similar stress scores. What is the likely consequence?

advantages and disadvantages of sampling techniques Medium
A. The effective sample size may be smaller
B. The intracluster similarity disappears
C. The design becomes simple random sampling
D. The sampling frame becomes complete

39 A convenience sample produces a very precise average for the people who participated, but most participants are psychology majors. What is the main limitation?

advantages and disadvantages of sampling techniques Medium
A. Low internal consistency
B. Limited external validity
C. Inability to calculate an average
D. Excessive randomization

40 Which statement best explains a disadvantage of snowball sampling in research on a hidden population?

advantages and disadvantages of sampling techniques Medium
A. The method prevents participants from referring others
B. The method always requires a complete population list
C. Recruitment can overrepresent connected social networks
D. Participants cannot meet eligibility criteria

41 A psychologist wants to estimate the prevalence of test anxiety among 40,000 university students. The sampling frame omits students studying entirely online, and students with severe test anxiety are less likely to respond. Which statement best identifies the main threat to inference?

sampling Hard
A. Sampling error is the only relevant source of bias
B. Random sampling eliminates all response-related error
C. The sample size is necessarily too small
D. Coverage error and nonresponse bias may jointly distort estimates

42 A study samples 100 people from a population of 10,000 using a genuinely random method. A second study samples 100 people from the same population using volunteers but obtains a very similar mean score. Which conclusion is most defensible?

sampling Hard
A. The volunteer sample is representative because its mean matches
B. The volunteer sample is superior because participation was self-selected
C. Similarity of observed means does not establish equivalent generalizability
D. The random sample has no sampling error because selection was random

43 A researcher samples intact therapy groups rather than individual clients. Clients within a group tend to resemble one another strongly. If the researcher analyzes the data as though all sampled clients were independent, what is the most likely consequence?

sampling Hard
A. Standard errors will usually be underestimated
B. Randomization will create perfect independence
C. The population mean will become exactly unbiased
D. The design effect will necessarily equal one

44 A sampling plan first defines the target population, then specifies an operational list from which units can actually be selected. Why is distinguishing these two concepts essential?

sampling Hard
A. It converts a nonprobability design into a probability design
B. It guarantees that every selected unit will respond
C. It makes measurement error irrelevant to the study
D. It separates the population of inference from the sampling frame

45 A school district has 80 schools and wants to sample 8 schools, surveying every student in each selected school. Students within schools are highly similar, and schools differ substantially in socioeconomic composition. Which design is most likely to reduce sampling variance compared with selecting 8 schools purely at random, assuming reliable school-level strata are available?

probability sampling and its types Hard
A. Stratified sampling of schools by socioeconomic composition
B. Systematic sampling of names without using school composition
C. Convenience sampling of students from nearby schools
D. Snowball sampling beginning with high-performing students

46 A population is divided into three strata containing 10%, 30%, and 60% of the population. A researcher samples 20%, 50%, and 30% from the respective strata and then computes an unweighted mean. What is the principal problem?

probability sampling and its types Hard
A. The sample is not random within any stratum
B. The largest stratum must always receive the largest sample
C. Stratification prevents estimation of sampling error
D. The unweighted estimate overrepresents the first two strata

47 A researcher selects every 25th name after a random start from an ordered list of employees. The list is arranged in repeating cycles of 25 positions, and each cycle places night-shift workers in the same position. What risk is most serious?

probability sampling and its types Hard
A. Every employee has an unequal and unknown selection probability
B. Periodic ordering can produce systematic undercoverage
C. A random start makes periodicity impossible
D. Systematic sampling always has a larger variance than convenience sampling

48 In a two-stage design, 10 clinics are sampled with probability proportional to size, and then an equal number of patients is selected from each sampled clinic. Which statement is correct?

probability sampling and its types Hard
A. The design becomes simple random sampling after clinic selection
B. Patient weights are unnecessary because the second stage is random
C. Patients in larger clinics necessarily have lower inclusion probabilities
D. Patients generally have equal inclusion probabilities by construction

49 A population has 1,000 members. A simple random sample of 100 is selected without replacement. Compared with sampling 100 with replacement, which feature changes most directly?

probability sampling and its types Hard
A. Nonresponse bias disappears because units cannot repeat
B. The finite population correction reduces sampling variance
C. Selection probabilities become unknown after the first draw
D. The target population becomes ten times larger

50 A survey oversamples adolescents so that subgroup estimates are precise, then reports an overall prevalence without weights. The adolescent subgroup has a higher prevalence than adults. What direction of distortion is expected for the overall estimate?

probability sampling and its types Hard
A. The overall prevalence will tend to be underestimated
B. Oversampling cannot affect an overall prevalence
C. The estimate becomes unbiased whenever subgroup sizes are known
D. The overall prevalence will tend to be overestimated

51 A sampling frame lists households alphabetically by surname. A systematic sample uses an interval of 10 with a random start. If surname is associated with ethnicity and ethnicity is associated with depression scores, which claim is most accurate?

probability sampling and its types Hard
A. The design removes the need for nonresponse adjustments
B. The design is invalid because systematic samples require random ordering
C. The design guarantees equal subgroup sample sizes
D. The design may be efficient if ordering creates implicit stratification

52 A researcher wants equal numbers of urban and rural participants, although the population is 70% urban and 30% rural. Participants are randomly selected within each area, and the final estimate uses population-proportion weights. What is this design?

probability sampling and its types Hard
A. Unrestricted cluster sampling
B. A census of both geographic areas
C. Quota sampling without a probability basis
D. Disproportionate stratified random sampling

53 A national survey selects regions, then schools within regions, then students within schools. Some schools refuse participation, and refusal rates differ by region. Which analysis is most appropriate?

probability sampling and its types Hard
A. Discard regional information because schools are the final units
B. Use multistage design weights and account for clustering
C. Treat all students as an equal-probability simple random sample
D. Replace refusals with the nearest schools without adjustment

54 A researcher recruits the first 200 visitors to a mental-health website and describes the result as an estimate for all adults with depression. Which limitation is most central?

non-probability sampling and its types Hard
A. Website recruitment automatically creates a cluster sample
B. Volunteer and coverage biases undermine population generalization
C. The sample cannot contain any clinically relevant participants
D. A sample of 200 is always mathematically invalid

55 A quota sample is designed to match the population on age and sex, but interviewers choose respondents within each quota at shopping centers. Which conclusion is most defensible?

non-probability sampling and its types Hard
A. Matching two variables makes the sample equivalent to random sampling
B. Marginal matching does not ensure representativeness on other variables
C. Interviewer choice is harmless when quotas are filled exactly
D. Quota sampling permits unbiased confidence intervals by definition

56 To study undocumented migrant workers, a researcher begins with five participants and asks each to recruit peers. Recruitment chains remain concentrated within separate language communities. What is the key inferential concern?

non-probability sampling and its types Hard
A. Network dependence and disconnected subgroups may bias coverage
B. The design is simple random sampling with replacement
C. Language concentration proves that the sample is unbiased
D. Peer recruitment guarantees proportional representation

57 A study uses purposive maximum-variation sampling to interview people with very different experiences of chronic pain. Which is the strongest justification for this approach?

non-probability sampling and its types Hard
A. It ensures each eligible patient has equal selection probability
B. It is preferable whenever statistical precision is the primary goal
C. It produces a known sampling error for population prevalence
D. It can illuminate mechanisms across deliberately contrasting cases

58 A researcher recruits participants through an online advertisement offering a cash incentive. People with severe symptoms are disproportionately motivated to respond. Which adjustment would most directly address this problem?

non-probability sampling and its types Hard
A. Increase the incentive to obtain an even larger sample
B. Remove all severe cases before calculating the mean
C. Assume random participation because the advertisement was public
D. Use a probability-based frame or model selection mechanisms

59 For a rare psychological disorder, a researcher must choose between a simple random sample of the general population and purposive recruitment through specialist clinics. Which trade-off is most accurate?

advantages and disadvantages of sampling techniques Hard
A. The clinic sample supports unbiased prevalence estimation automatically
B. The random sample supports generalization but may yield too few cases
C. The random sample is always cheaper for rare populations
D. The clinic sample eliminates referral and severity selection effects

60 A researcher compares a stratified design with a cluster design under equal costs. The population is heterogeneous overall but relatively homogeneous within neighborhoods. Which expectation is most defensible?

advantages and disadvantages of sampling techniques Hard
A. Clustering must be more precise because neighborhoods are homogeneous
B. Stratification may improve precision, whereas clustering may inflate variance
C. The two designs have identical variance whenever sample sizes match
D. Stratification prevents any need for weighting after unequal allocation