Correct Answer: Selecting a subset of a population
Explanation:
Sampling is the process of selecting a smaller group from a larger population for study.
Incorrect! Try again.
2What is the larger group from which a sample is selected called?
sampling
Easy
A.Population
B.Hypothesis
C.Variable
D.Procedure
Correct Answer: Population
Explanation:
The population is the complete group that the researcher wants to understand.
Incorrect! Try again.
3Why 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
Correct Answer: Samples save time and resources
Explanation:
Studying a sample is usually faster and less expensive than studying the entire population.
Incorrect! Try again.
4A sample should ideally represent which group?
sampling
Easy
A.The smallest subgroup
B.The measurement scale
C.The research assistants
D.The target population
Correct Answer: The target population
Explanation:
A representative sample should reflect important characteristics of the target population.
Incorrect! Try again.
5What 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
Correct Answer: Members have a known chance of selection
Explanation:
In probability sampling, each population member has a known, usually nonzero, chance of being selected.
Incorrect! Try again.
6Which 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
Correct Answer: Simple random sampling
Explanation:
Simple random sampling gives each member of the population an equal chance of being chosen.
Incorrect! Try again.
7In 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
Correct Answer: Every th member after a starting point
Explanation:
Systematic sampling selects members at a regular interval, such as every fifth person on a list.
Incorrect! Try again.
8What 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
Correct Answer: Choose a starting point
Explanation:
Systematic sampling begins by selecting a starting point and then applying a fixed interval.
Incorrect! Try again.
9Stratified sampling divides a population into groups called:
probability sampling and its types
Easy
A.Clusters
B.Variables
C.Experiments
D.Strata
Correct Answer: Strata
Explanation:
Strata are subgroups formed using characteristics such as age, gender, or education.
Incorrect! Try again.
10In 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
Correct Answer: Each relevant subgroup
Explanation:
Stratified sampling ensures that important subgroups are represented in the sample.
Incorrect! Try again.
11In 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
Correct Answer: Entire groups or clusters
Explanation:
Cluster sampling selects naturally occurring groups, such as schools or clinics, rather than individual members.
Incorrect! Try again.
12Which 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
Correct Answer: A school
Explanation:
A school can serve as a naturally occurring group or cluster containing many potential participants.
Incorrect! Try again.
13What 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
Correct Answer: Selection chances are not known
Explanation:
In non-probability sampling, not every population member has a known chance of selection.
Incorrect! Try again.
14Convenience 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
Correct Answer: Easy for the researcher to reach
Explanation:
Convenience sampling uses participants who are readily available to the researcher.
Incorrect! Try again.
15Purposive 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
Correct Answer: Have characteristics relevant to the study
Explanation:
Purposive sampling deliberately selects people who meet specific study-related characteristics.
Incorrect! Try again.
16Quota 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
Correct Answer: Until planned subgroup numbers are filled
Explanation:
Quota sampling fills predetermined numbers for selected categories or subgroups.
Incorrect! Try again.
17Snowball 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
Correct Answer: Difficult to locate
Explanation:
Snowball sampling uses participant referrals to reach people who may be hard to identify or contact.
Incorrect! Try again.
18Which 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
Correct Answer: It can reduce selection bias
Explanation:
Random selection can reduce the risk that the sample differs systematically from the population.
Incorrect! Try again.
19Which 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
Correct Answer: The sample may not represent the population
Explanation:
Convenient participants may differ from people who were not available or not invited.
Incorrect! Try again.
20A 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
Correct Answer: Quick and inexpensive
Explanation:
Non-probability methods are often easier, faster, and less costly to conduct.
Incorrect! Try again.
21A 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
Correct Answer: The sample
Explanation:
The 400 selected students are the sample because they are a subset of the larger population being studied.
Incorrect! Try again.
22A 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
Correct Answer: Sampling-frame undercoverage
Explanation:
Students who do not attend that class are excluded from the practical sampling frame, so the frame may not adequately cover the target population.
Incorrect! Try again.
23A 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
Correct Answer: It may still contain volunteer bias
Explanation:
Matching one known characteristic does not remove the possibility that volunteers differ from nonvolunteers in other relevant ways.
Incorrect! Try again.
24A 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
Correct Answer: Simple random sampling
Explanation:
Simple random sampling gives each population member a known chance of selection through random selection from a complete list.
Incorrect! Try again.
25From 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.
Correct Answer:
Explanation:
The interval is calculated as , so every 15th client is selected.
Incorrect! Try again.
26A 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
Correct Answer: Stratified random sampling
Explanation:
Stratified sampling divides the population into subgroups and randomly samples within each subgroup, often proportionally.
Incorrect! Try again.
27A 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
Correct Answer: Cluster sampling
Explanation:
Schools serve as naturally occurring clusters, and all eligible students within the selected clusters are surveyed.
Incorrect! Try again.
28A 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
Correct Answer: 300
Explanation:
The proportional allocation is women.
Incorrect! Try again.
29Which 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
Correct Answer: The list has a repeating pattern matching the interval
Explanation:
Periodicity can cause systematic sampling to overrepresent or underrepresent certain groups if the list pattern aligns with the sampling interval.
Incorrect! Try again.
30Why 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
Correct Answer: It reduces travel and administrative costs
Explanation:
Selecting schools or regions as clusters can make data collection more practical and less expensive, although precision may decrease.
Incorrect! Try again.
31In 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
Correct Answer: The person has a known chance of being selected
Explanation:
Probability sampling refers to known, nonzero chances of selection, not to response behavior or sample composition.
Incorrect! Try again.
32A 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
Correct Answer: Convenience sampling
Explanation:
Convenience sampling selects individuals because they are easy for the researcher to access.
Incorrect! Try again.
33A 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
Correct Answer: Snowball sampling
Explanation:
Snowball sampling uses referrals from initial participants to reach additional members of a difficult-to-access population.
Incorrect! Try again.
34A 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
Correct Answer: Quota sampling
Explanation:
Quota sampling fills predetermined subgroup counts without requiring random selection within those groups.
Incorrect! Try again.
35A 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
Correct Answer: Purposive sampling
Explanation:
Purposive sampling deliberately selects participants who meet characteristics important to the research question.
Incorrect! Try again.
36Which feature most clearly distinguishes quota sampling from proportional stratified random sampling?
C.Quota sampling does not randomly select within subgroups
D.Quota sampling always studies fewer people
Correct Answer: Quota sampling does not randomly select within subgroups
Explanation:
Both methods may set subgroup targets, but stratified random sampling uses random selection within each stratum whereas quota sampling does not necessarily do so.
Incorrect! Try again.
37A 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
Correct Answer: It increases the basis for generalization
Explanation:
Random selection can produce a more representative sample and supports stronger generalization when other sources of bias are controlled.
Incorrect! Try again.
38A 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
Correct Answer: The effective sample size may be smaller
Explanation:
When people within clusters are similar, observations provide less independent information than observations selected across many unrelated units.
Incorrect! Try again.
39A 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
Correct Answer: Limited external validity
Explanation:
A narrow or unrepresentative convenience sample may limit how well the findings generalize to the wider population.
Incorrect! Try again.
40Which 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
Correct Answer: Recruitment can overrepresent connected social networks
Explanation:
People with larger or more accessible networks may be referred more often, causing some parts of the hidden population to be underrepresented.
Incorrect! Try again.
41A 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
Correct Answer: Coverage error and nonresponse bias may jointly distort estimates
Explanation:
The frame excludes part of the target population, creating coverage error, while differential participation can create nonresponse bias. Increasing sample size alone does not remove either problem.
Incorrect! Try again.
42A 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
Correct Answer: Similarity of observed means does not establish equivalent generalizability
Explanation:
A matching sample statistic can occur by chance or because biases cancel. Probability sampling supports known selection probabilities and stronger design-based inference; a volunteer sample does not automatically provide that.
Incorrect! Try again.
43A 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
Correct Answer: Standard errors will usually be underestimated
Explanation:
Within-cluster similarity reduces the effective sample size. Treating correlated observations as independent commonly produces standard errors that are too small and confidence intervals that are too narrow.
Incorrect! Try again.
44A 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
Correct Answer: It separates the population of inference from the sampling frame
Explanation:
The target population is the group about which conclusions are intended, whereas the sampling frame is the accessible list used for selection. Differences between them can produce coverage problems.
Incorrect! Try again.
45A 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
Correct Answer: Stratified sampling of schools by socioeconomic composition
Explanation:
Stratifying schools by a variable related to the outcome ensures representation across important subgroups and can reduce variance. Cluster sampling still requires attention to within-school similarity.
Incorrect! Try again.
46A 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
Correct Answer: The unweighted estimate overrepresents the first two strata
Explanation:
The sampling fractions differ across strata, so the sample composition is disproportionate. An unweighted estimate gives excessive influence to the first and second strata; design weights or appropriate post-stratification are needed.
Incorrect! Try again.
47A 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
Correct Answer: Periodic ordering can produce systematic undercoverage
Explanation:
If the sampling interval aligns with a repeating pattern, the selected position may repeatedly include or exclude a subgroup. A random start does not protect against an interval that matches the periodicity.
Incorrect! Try again.
48In 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
Correct Answer: Patients generally have equal inclusion probabilities by construction
Explanation:
When clinics are selected proportional to size and the same number of patients is sampled within each selected clinic, the higher first-stage probability for larger clinics is offset by the lower within-clinic probability, assuming accurate size measures.
Incorrect! Try again.
49A 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
Correct Answer: The finite population correction reduces sampling variance
Explanation:
Sampling without replacement from a substantial fraction of a finite population provides more information than sampling with replacement. The finite population correction reflects this reduction in variance.
Incorrect! Try again.
50A 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
Correct Answer: The overall prevalence will tend to be overestimated
Explanation:
Because adolescents have both a higher prevalence and a larger sample share than in the population, their outcomes receive excessive influence in the unweighted overall estimate.
Incorrect! Try again.
51A 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
D.The design may be efficient if ordering creates implicit stratification
Correct Answer: The design may be efficient if ordering creates implicit stratification
Explanation:
An ordered frame can distribute sampled units across the list and sometimes improve representation of correlated characteristics. It does not guarantee equal subgroup sizes or eliminate nonresponse concerns.
Incorrect! Try again.
52A 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
Correct Answer: Disproportionate stratified random sampling
Explanation:
The areas are strata, selection within each stratum is random, and the allocation is intentionally disproportionate. Population weights restore the proper contribution of each stratum to overall estimates.
Incorrect! Try again.
53A 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
Correct Answer: Use multistage design weights and account for clustering
Explanation:
Different selection probabilities and differential nonresponse affect representation, while students within schools and regions are correlated. Variance estimation must reflect the multistage design.
Incorrect! Try again.
54A 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
Correct Answer: Volunteer and coverage biases undermine population generalization
Explanation:
Visitors may differ systematically from adults with depression who do not use the site, and participation is self-selected. These selection mechanisms are not controlled by random sampling.
Incorrect! Try again.
55A 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
Correct Answer: Marginal matching does not ensure representativeness on other variables
Explanation:
Quota controls can improve composition on selected characteristics, but selection within quotas remains nonrandom and may be related to education, income, health, or other outcome predictors.
Incorrect! Try again.
56To 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
Correct Answer: Network dependence and disconnected subgroups may bias coverage
Explanation:
Snowball samples depend on social networks. Isolated or weakly connected groups may be missed, and recruited participants are not independent in the way required for ordinary probability-based inference.
Incorrect! Try again.
57A 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
Correct Answer: It can illuminate mechanisms across deliberately contrasting cases
Explanation:
Purposive maximum-variation sampling is useful for exploring range, context, and mechanisms. It is not designed to estimate population prevalence with known sampling error.
Incorrect! Try again.
58A 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
Correct Answer: Use a probability-based frame or model selection mechanisms
Explanation:
A larger self-selected sample can make selection bias more precise rather than remove it. A probability design or a well-supported adjustment model is needed to address differential participation.
Incorrect! Try again.
59For 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
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
Correct Answer: The random sample supports generalization but may yield too few cases
Explanation:
Probability sampling offers stronger population inference, but rare conditions require very large samples for adequate case counts. Clinic recruitment can improve feasibility while introducing referral and selection biases.
Incorrect! Try again.
60A 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
Correct Answer: Stratification may improve precision, whereas clustering may inflate variance
Explanation:
Stratification can ensure coverage of heterogeneous subgroups and reduce variance. Homogeneity within clusters increases intraclass correlation, often reducing effective sample size and increasing the design effect.
Incorrect! Try again.
Did this save you a night before the exam?
LPU Notes is free, and it stays free. Ads cover part of the server bill.
The rest comes out of a student's own pocket: the domain, the storage,
and keeping the site up through the weeks everyone needs it at once.
The payment button didn't load. An ad blocker or a filtered network is the usual reason.
to try again.
Nothing here is ever locked, and nothing unlocks. Chip in only if it was worth it.
What it pays for →