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

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

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

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

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

4 A sample should ideally represent which group?

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

5 What is the main feature of probability sampling?

probability sampling and its types Easy
A. Members volunteer for the study
B. Participants recruit their close friends
C. Members have a known chance of selection
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. Simple random sampling
C. Quota sampling
D. Snowball sampling

7 In systematic sampling, researchers usually select:

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

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

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

9 Stratified sampling divides a population into groups called:

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

10 In stratified sampling, participants are selected from:

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

11 In cluster sampling, researchers select:

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

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

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

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

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

14 Convenience sampling selects participants who are:

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

15 Purposive sampling involves selecting participants because they:

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

16 Quota sampling aims to include participants:

non-probability sampling and its types Easy
A. Using a random starting number
B. Until planned subgroup numbers are filled
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. Listed in a complete register
B. Difficult to locate
C. Equally available in every region
D. Selected by a computer

18 Which is an advantage of probability sampling?

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

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 always takes many years
C. The sample may not represent the population
D. The method requires a full census

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

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. Randomization of the sample
B. Improved population validity
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 may still contain volunteer bias
B. It represents every student equally
C. It must have zero sampling error
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. Systematic sampling
B. Simple random sampling
C. Convenience sampling
D. Quota 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. Stratified random sampling
B. Systematic random sampling
C. Purposive sampling
D. Cluster random 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. Quota sampling
B. Snowball sampling
C. Stratified sampling
D. Cluster 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. 200
B. 350
C. 250
D. 300

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

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

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 guarantees equal subgroup sizes
D. It requires no population information

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 has a known chance of being selected
B. The sample contains exactly 2% nonrespondents
C. The person will answer with probability
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. Convenience sampling
C. Cluster 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. Stratified sampling
B. Snowball sampling
C. Systematic 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. Quota sampling
B. Cluster sampling
C. Simple random sampling
D. Systematic 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. Convenience sampling
B. Purposive sampling
C. Cluster sampling
D. Systematic 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 always studies fewer people
D. Quota sampling does not randomly select within subgroups

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 guarantees a 100% response rate
B. It increases the basis for generalization
C. It makes the sample larger automatically
D. It removes all measurement error

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 sampling frame becomes complete
B. The design becomes simple random sampling
C. The effective sample size may be smaller
D. The intracluster similarity disappears

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. Limited external validity
B. Inability to calculate an average
C. Low internal consistency
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. Recruitment can overrepresent connected social networks
B. The method prevents participants from referring others
C. The method always requires a complete population list
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 random sample has no sampling error because selection was random
C. Similarity of observed means does not establish equivalent generalizability
D. The volunteer sample is superior because participation was self-selected

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

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

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

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. Stratification prevents estimation of sampling error
C. The unweighted estimate overrepresents the first two strata
D. The largest stratum must always receive the largest sample

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. Systematic sampling always has a larger variance than convenience sampling
C. A random start makes periodicity impossible
D. Periodic ordering can produce systematic undercoverage

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. The target population becomes ten times larger
D. Selection probabilities become unknown after the first draw

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 estimate becomes unbiased whenever subgroup sizes are known
B. The overall prevalence will tend to be underestimated
C. Oversampling cannot affect an overall prevalence
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 may be efficient if ordering creates implicit stratification
C. The design guarantees equal subgroup sample sizes
D. The design is invalid because systematic samples require random ordering

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

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

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. Volunteer and coverage biases undermine population generalization
B. Website recruitment automatically creates a cluster sample
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. Quota sampling permits unbiased confidence intervals by definition
B. Interviewer choice is harmless when quotas are filled exactly
C. Marginal matching does not ensure representativeness on other variables
D. Matching two variables makes the sample equivalent to random sampling

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

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

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

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

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