WorksheetsChapter 5 Outline: Sampling in Marketing Research
Total questions: 103
Worksheet time: 52mins
Which topic explains how to decide the number of participants to include in a study?
Sampling procedure step-by-step stages
Sampling overview basics and scope
Sampling methods selection alternatives
Sample size determination decision rules
What is the primary purpose of a sampling overview in marketing research?
Run data collection fieldwork
Analyze multivariate results
Compute optimal sample size
Define key terms and scope
Which item focuses on the sequence from defining the population to selecting elements?
Sampling overview general concepts
Sample size determination formulas
Sampling procedure operational steps
Sampling methods probability typology
Which heading would cover nonprobability versus probability techniques?
Data analysis modeling section
Sample size determination section
Sampling overview introductory area
Sampling methods comparison area
In planning a study, where would you justify the use of stratified versus cluster designs?
Sampling methods selection rationale
Sample size determination precision plan
Sampling overview background summary
Sampling procedure implementation plan
Which part most directly affects the margin of error in survey estimates?
Sampling methods classification labels
Sampling procedure execution tasks
Sample size determination numerical choices
Sampling overview high-level notes
What would typically come first when organizing Chapter 5 tasks?
Run analysis before sampling
Start with a sampling overview
Select a sampling frame first
Choose sample size immediately
Which section would describe how to list eligible units for selection?
Sampling methods theoretical types
Sample size determination targets
Sampling procedure frame design
Sampling overview contextual notes
If a manager wants to balance cost and accuracy, which section guides numeric trade-offs?
Sampling overview concept map
Sampling methods taxonomy grid
Sampling procedure field steps
Sample size determination trade-offs
Which heading summarizes what sampling is and why it matters?
Sampling overview purpose statement
Sampling procedure technical checklist
Sample size determination calculator
Sampling methods algorithm catalog
Where would replacement versus no-replacement be primarily discussed?
Sampling procedure operational rules
Sampling overview basic ideas
Sampling methods design families
Sample size determination confidence
Which area best fits selecting respondents from strata after listing quotas?
Sampling methods specific designs
Sampling overview generalities
Sampling procedure implementation
Sample size determination equations
What decision is most tightly linked to desired statistical precision?
Define the target population
Determine sample size
Choose a sampling frame
Pick a sampling method
Which component would detail steps like define population, choose frame, and select?
Sampling procedure sequence
Sampling overview narrative
Sampling methods typology
Sample size determination math
Which content area clarifies differences between quota and convenience sampling?
Sampling overview orientation
Sampling methods distinctions
Sample size determination limits
Sampling procedure logistics
Choosing between simple random and systematic selection belongs to which section?
Sampling methods choices
Sample size determination rules
Sampling procedure schedule
Sampling overview themes
Setting a target number of respondents per segment is mainly part of which area?
Sampling methods set
Sample size determination plan
Sampling procedure plan
Sampling overview primer
Identifying the sampling unit and frame appears in which theme?
Sampling overview concept
Sample size determination math
Sampling procedure design
Sampling methods menu
Comparing cluster, stratified, and quota approaches fits best under which heading?
Sampling overview synopsis
Sampling methods comparison
Sampling procedure workflow
Sample size determination models
Which section explains translating budget constraints into respondent counts?
Sample size determination linkage
Sampling overview discussion
Sampling methods explanation
Sampling procedure description
Quota sampling aims primarily to achieve what at relatively low cost?
Randomization of every element
Representative samples of groups
Perfect elimination of bias
Elaborate multistage inference
In quota sampling, what typically defines the first stage?
Computing exact sample size
Running cluster-based allocation
Drawing simple random numbers
Developing control group quotas
How are elements usually selected in the second stage of quota sampling?
Using stratified random draws
Through systematic interval selection
Based on convenience or judgment
By probability proportional to size
Under certain conditions, quota sampling can approximate results of which approach?
Conventional probability sampling
Judgment-only expert panels
Snowball recruitment methods
Census full enumeration
What best describes quota sampling as characterized in the material?
Single-stage unrestricted random design
Hierarchical Bayesian adaptive design
Two-stage restricted judgmental design
Multiwave longitudinal cohort design
Which step would NOT typically belong to sampling procedure planning?
Define target population precisely
Select appropriate sampling frame
Choose a method for selection
Conduct factor analysis on data
Which choice most directly influences coverage error before data collection starts?
Type of regression model
Choice of confidence level
Post-survey weighting scheme
Sampling frame specification
A key trade-off managed by sample size determination is between which two concerns?
Bias and external validity
Cost and estimation precision
Qualitative depth and breadth
Reliability and construct validity
Selecting every k-th name from a list exemplifies which method category?
Systematic probability selection
Quota-based proportional control
Convenience nonprobability access
Cluster area multistage grouping
Allocating respondents to mirror population age groups aligns with which idea?
Cluster sampling with blocks
Snowball recruitment referrals
Simple random number draws
Quota sampling control totals
Which term refers to the entire group about which a researcher wants to draw conclusions?
Population
Sample
Element
Sampling frame
What is the correct definition of a sample in research?
A subset of the population
A list of all elements
The basic unit observed
An error from poor instruments
Which option best describes an element in sampling terminology?
A method to pick units
The whole group targeted
A list used for contact
The single unit measured
What is a sampling unit?
The unit actually selected
The measurement variable
The overall population
The calculated sample size
Which statement defines sampling error most accurately?
Difference from faulty tools
Difference from using a subset
Difference from nonresponses
Difference from biased wording
Sample bias most closely refers to which situation?
Systematic over or underrepresentation
Random fluctuation around the mean
Errors from data entry mistakes
Variation due to small sample size
Which is a non-sampling error?
Having a complete sampling frame
Selecting a small sample size
Using simple random sampling
Respondents misreport incomes
A survey recruits customers from a brand’s fan forum only. Which error is most likely?
Random error
Coverage error
Sampling error
Sample bias
You draw a random sample of 400 from 40,000 customers. The estimate differs from the true mean by chance. What is this difference called?
Measurement error
Sampling error
Selection bias
Nonresponse bias
A researcher’s questionnaire has leading questions that push favorable answers. Which error best describes this issue?
Measurement bias within non-sampling error
Coverage bias within sampling error
Pure sampling error from chance
Frame error within sampling error
Which step comes first in designing a sampling plan for a business study?
Execute the fieldwork procedures
Choose a sampling technique type
Define the target population clearly
Determine the final sample size
What is a sampling frame in market research?
An operational list of all eligible units
A method for random number generation
A rule for calculating confidence levels
A procedure for conducting interviews
Which choice best explains why defining the target population precisely is critical?
It makes nonresponse completely disappear
It reduces coverage error and selection bias
It guarantees perfect external validity
It replaces the need for a sampling frame
A researcher has N = 900 customers and needs n = 90 using simple random sampling. Which procedural step is essential to ensure randomness?
Assign each element a unique ID from 1 to N
Select the first ninety listed customers
Replace missing IDs with the value zero
Sort the frame alphabetically before selection
In systematic sampling, how is the sampling interval i typically computed?
Multiply sample size n by response rate
Subtract n from N and square the result
Divide population size N by sample size n
Take the square root of N then round up
Which statement compares systematic sampling with simple random sampling most accurately?
Simple random guarantees zero bias
Systematic always produces smaller variance
Simple random needs no sampling frame
Systematic is easier and often less costly
Which scenario indicates a potential limitation of simple random sampling in practice?
Each unit has a known nonzero probability
The sampling frame is incomplete or outdated
Random numbers are generated by software
Population elements are uniquely numbered
You plan to survey employees across multiple branches. To minimize periodicity risk when using systematic sampling, what should you do?
Order the frame by department repeatedly
Use the first element then every ith unit
Set i as a non-integer to avoid cycles
Use a random start and check for patterns
Which step directly follows selecting the sampling technique in the five-step sampling design process?
Define measurement scales
Pilot test the questionnaire
Compute the sampling interval
Determine the required sample size
During execution, interviewers skip unreachable units without replacement. What risk does this introduce to the sampling process?
Nonresponse bias due to systematic exclusions
Measurement bias from instrument scaling
Multicollinearity among predictor variables
Overcoverage from duplicated frame records
Which step comes first when selecting a systematic sample from a numbered list of N elements?
Assign numbers from 1 to N to elements
Compute the sampling interval N divided by n
Choose a random start between 1 and i
Select an appropriate sampling frame
In systematic sampling, the sampling interval i is typically computed as which expression?
Population size minus sample size
Square root of population size
Sample size divided by population size
Population size divided by sample size
A firm plans n = 50 interviews from a frame of N = 2,000. Using systematic sampling without replacement, how many total elements will be skipped between successive selections?
Exactly 50 elements between selected units
Exactly 2,000 elements between selected units
About 40 elements between selected units
About 39 elements between selected units
Which statement best distinguishes stratified sampling from simple random sampling?
Stratified samples units until quotas are achieved
Stratified selects every ith unit from the full list
Stratified uses volunteer respondents for each stratum
Stratified divides into subgroups then samples within each
In a stratified design with proportionate allocation, how are stratum sample sizes determined?
Weighted by cost per interview only
Equal numbers selected from every stratum
Proportional to each stratum’s population share
Based on interviewer availability per region
Which situation justifies disproportionate stratified sampling rather than proportionate allocation?
Some small strata need adequate analytic precision
All strata have identical variances and sizes
The sampling frame lacks stratum identifiers
The budget prohibits any oversampling anywhere
When determining sample size under a traditional (frequentist) approach, which input is most central for margin-of-error control?
Convenience and interviewer travel routes
Posterior distribution from prior beliefs
The initial random start r used in systematic
Desired confidence level and variability estimate
Which statement best describes a Bayesian approach to sample size planning?
It updates beliefs using prior information and data
It assumes unknown parameters are fixed constants
It requires sampling with replacement by design
It prohibits stratification across subpopulations
Which statement best defines nonprobability sampling in business research?
Units selected only through stratified random frames
Sampling driven solely by statistical power formulas
Every population member has equal selection probability
Selection not based on random chance mechanisms
What is the key characteristic of convenience sampling?
Choosing readily available respondents near the researcher
Selecting participants using random number generators
Drawing a cluster sample from multiple locations
Recruiting a stratified set across known subgroups
A store manager surveys customers who happen to be in the checkout line at 5 p.m. This is an example of which method?
Quota sampling matched to demographics
Convenience sampling in a time-bound location
Judgmental sampling using expert criteria
Systematic sampling with fixed intervals
Which risk most threatens convenience samples?
Measurement error from complex instruments
Sampling frame error from exhaustive lists
Overcoverage from nationwide random dialing
High selection bias from easy-to-reach participants
What best describes judgmental (purposive) sampling?
Choosing every kth unit from a constructed list
Selecting units based on researcher expertise and purpose
Drawing names using simple random procedures
Dividing the population into proportionate strata
A venture capitalist interviews five founders they believe represent cutting‑edge fintech. Which method is most accurate?
Judgmental sampling guided by expert criteria
Convenience sampling of nearby volunteers
Cluster sampling across incubator cohorts
Systematic sampling using calendar intervals
Which situation illustrates selection bias in nonprobability sampling?
A double‑blind experiment reduces interviewer effects
A random phone dialer reaches rural households evenly
Only frequent gym users respond to a locker‑room survey
A stratified design balances age and income groups
When might judgmental sampling be most defensible?
Quality control requiring randomized inspection
National polling with tight margin of error
Confirmatory studies demanding population inference
Exploratory research requiring expert‑picked cases
Which limitation is shared by convenience and judgmental sampling?
Inability to recruit any specialized segments
High cost due to complex field logistics
Requirement for complete sampling frames
Limited generalizability to the wider population
Which action would most improve credibility when using convenience samples?
Avoid reporting any potential selection biases
Document access constraints and compare with known benchmarks
Increase the number of easily available respondents only
Ignore differences between sample and target population
Which statement best defines quota sampling in business research?
Using probability weights to correct coverage imbalances
Asking each respondent to recruit one additional participant
Randomly selecting respondents from every population stratum
Selecting respondents until segment quotas are filled
In quota sampling, how are quotas typically determined?
By the order respondents arrive online
By random numbers from a table
By convenience of interviewer availability
By key characteristics mirroring the population
Snowball sampling is most appropriate when the target population is
Simple to stratify by clear attributes
Uniform and geographically dispersed
Large and easily listed from records
Hidden and interconnected through social ties
Which step comes first in two-stage restricted judgmental sampling?
Specify segment quotas for key attributes
Judgmentally choose relevant control characteristics
Recruit initial seeds for referral chains
Compute sampling intervals for selection
What is a major risk when using snowball (referral) sampling?
Administrative costs always exceed panel studies
Random error overwhelms systematic precision
Sample cannot reach desired numerical quota
Network homophily can bias sample composition
A market study sets quotas by age and gender, then uses convenience locations to fill cells. Which technique is this?
Systematic sampling from a frame
Simple random sampling with weights
Snowball sampling from seed lists
Quota sampling with controlled cells
Which scenario best illustrates referral sampling?
An initial group of experts recommends peers who then recommend others
A researcher stratifies hospitals and samples within strata
Interviewers intercept shoppers at alternating times of day
A survey platform randomly invites registered users
Compared with quota sampling, snowball sampling primarily differs by
Eliminating interviewer judgment from selection
Requiring proportional cells for demographic control
Guaranteeing equal probability of selection
Using participant networks to locate additional cases
Which practical advantage motivates the use of quota sampling in fieldwork?
Lower susceptibility to interviewer selection bias
Better coverage of isolated or stigmatized populations
Stronger inference to population with known selection odds
Faster field completion while approximating population structure
You must interview cybersecurity whistleblowers, a hard-to-reach group without a public list. Which approach is most defensible and why?
Simple random sampling, because it removes all selection bias
Quota sampling, because quotas guarantee full representativeness
Snowball sampling, because peers can confidentially refer others
Systematic sampling, because intervals reduce nonresponse
Which statement best defines probability sampling in business research?
Only convenient participants are included by accessibility
Every population element has known nonzero selection chance
Experts handpick units based on expected usefulness
Participants volunteer after seeing public invitations
In simple random sampling (SRS), how are elements chosen?
Units are picked to mirror known population quotas
Groups are selected and all members surveyed
Elements are chosen at fixed periodic intervals
Each element has equal independent chance of selection
What is the main procedure step unique to systematic sampling?
Recruit volunteers using broad advertisements
Assign numbers and draw purely at random
Select a random start and use a constant interval
Stratify population and sample within strata
A company has a sampling frame of 2,000 customers and needs a sample of 200 using systematic sampling. What sampling interval k should be used?
k = 20 customers per selection
k = 5 customers per selection
k = 100 customers per selection
k = 10 customers per selection
What is a sampling frame?
A schedule determining interview appointment times
A complete list of population elements for selection
A method for grouping units into clusters
A tool that calculates optimal confidence levels
Which advantage is most associated with systematic sampling compared to SRS?
Operational simplicity and even population coverage
Best for eliminating all forms of bias
Allows estimation without a sampling frame
Ensures representation of every small subgroup
Which situation makes SRS preferable to systematic sampling?
When hidden periodicity could align with interval
When periodic patterns improve coverage quality
When no list of the population exists
When clusters are the natural analysis unit
You plan to survey employees using systematic sampling. The list may be ordered by department size. What risk should you anticipate and mitigate?
Hidden periodicity causing patterned selection bias
Higher cost from random number generation
Inability to compute sampling error estimates
Overcoverage of rare but critical subpopulations
Which step comes first when implementing SRS from a sampling frame?
Choose a fixed sampling interval k
Assign unique identifiers to all elements
Group units into clusters for efficiency
Order the list alphabetically by attribute
A retail chain lists 12,000 loyalty members and chooses every 120th name after a random start. Identify the method used.
Cluster sampling of store-based groups
Simple random sampling without replacement
Systematic sampling using interval k = 120
Quota sampling based on spending tiers
Which step comes first when implementing systematic sampling in a business population of known size?
Start selecting every kth element
List the sampling frame completely
Compute the sampling interval value
Sort elements by a key attribute
A firm has a population of 1,200 customers and needs a sample of 120. What sampling interval k should be used for systematic sampling?
k = 10 exactly
k = 8 exactly
k = 12 exactly
k = 14 exactly
You randomly choose a start at the 7th record in an ordered list and k = 25. Which additional records will be selected?
7, 32, 57, 82, 107
7, 26, 45, 64, 83
7, 30, 54, 79, 103
7, 31, 56, 81, 106
Systematic sampling can introduce bias when the population list has a hidden pattern. Which list feature most threatens validity?
Alphabetical ordering by name
Grouping by geographic region
Periodic ordering matching k
Randomized ordering of elements
A retailer wants n = 50 from N = 1,930 and must use systematic sampling. Which plan best demonstrates sound procedure?
Set k = 39, sort by spend first, then take every 39th
Set k = 50, choose any convenient start, sample each 50th
Set k = 40, start at first record always, sample each 40th
Set k = 38, pick a random start 1–38, sample every 38th
Which statement best defines stratified sampling?
Selecting nearby units to reduce travel and time costs
Selecting elements in one step from a single large list
Dividing the population into strata, sampling within each stratum
Dividing the population into clusters, selecting clusters randomly
In cluster sampling, what is randomly selected first?
Sampling frames for each subgroup
Clusters that partition the population
Strata defined by a classification variable
Individual elements from the full population
Which feature must strata have in stratified sampling?
Mutually exclusive and collectively exhaustive
Ordered by a numeric identifier only
Geographically compact and equal sized
Small enough to survey fully each time
What distinguishes one-stage from two-stage cluster sampling?
Whether strata are proportionately allocated
Whether clusters are mutually exclusive
Whether simple random sampling is used first
Whether all elements in chosen clusters are included
Which is the primary objective of cluster sampling stated?
Increase precision through proportional allocation
Increase sampling efficiency by decreasing costs
Ensure every stratum is represented equally
Eliminate the need for a sampling frame
Which step appears in the stratified sampling procedure?
Select a random set of clusters first
Number elements within each stratum from 1 to Nh
Sample entire clusters without listing units
Ignore the classification variable after division
A company divides customers into income groups, then draws simple random samples within each group. Which method is being used?
Cluster sampling with income-based clusters
Convenience sampling of available customers
Stratified sampling across defined income strata
Systematic sampling using income order
You must survey schools in a state. You randomly select schools and then survey every student in those schools. Which method is this?
Systematic sampling by class roster
One-stage cluster sampling using schools
Two-stage cluster sampling across districts
Stratified sampling by grade level
In two-stage cluster sampling of hospitals, what occurs at the second stage?
A sample of patients is drawn within each selected hospital
Hospitals are renumbered for proportional allocation
All patients in selected hospitals are surveyed
Hospitals are divided into strata by size
When determining nh for each stratum in stratified sampling, which allocation approaches are mentioned?
Geographic or temporal allocation
Deterministic or Bayesian allocation
Proportionate or disproportionate allocation
Convenience or judgmental allocation
