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Universe
The universe consists of all survey elements that qualify for inclusion in the research study. The precise definition of the universe for a particular study is set by the research question, which specifies who or what is of interest. The universe may be individuals, groups of people, organizations, or even objects. For example, research about voting in an upcoming election would have a universe comprising all voters. If the research was about political parties' sponsorship of candidates, the research would include all political parties. In research that involves taking a sample of things for testing or review, the universe may include inanimate objects. For example, a researcher may want to determine the extent to which toys made in a particular country contain a certain type of paint. In this case, the universe would include all toys made in that country. Some survey research has a very small universe (e.g., a survey of individuals who have won 1 million dollars or more in the lottery), and some research has a large universe (a survey of the television-viewing habits of all adults in the United States).
Survey practitioners often do not expect to be able to measure the entire universe, because it is neither practical nor necessary. A survey of all the elements in a universe would not be a sample but would instead be a census. Taking a census is rarely practical because it is costly and it rarely is needed; that is, a good survey can gather as accurate (and sometimes more accurate) data about the universe.
Defining the universe is a key element in the design of an appropriate sampling strategy. The researcher must carefully consider precisely who or what is of interest and then how best to contact or include these individuals or things in the research. The importance of appropriately defining the universe should not be underestimated. A universe that has been too narrowly defined will exclude important opinions and attitudes, and a universe too broadly defined will include extraneous information that may bias or affect the overall results.
Once defined, the universe is used by the researcher to structure an appropriate sampling methodology, in particular by defining the target population and choosing a sampling frame or frames. Research being conducted with a universe of all adults who watch television, for example, can contact a random sample of such individuals using random-digit dialing or by sampling clusters of geographies and then sampling households within those geographies using addressed-based sampling or area probability sampling. Sometimes multiple frames are needed to adequately cover the universe. In many surveys, the researcher does not know (nor does she or he need to know in advance) how many individuals or things are qualified to be part of the universe. One way to estimate this information is to retain information from any screener used to identify and select qualified respondents. For example, imagine a researcher wanted to do a survey of all individuals who own both a dog and a cat in Australia. It is unlikely that there is any reliable information on the precise number of Australians who own both types of pets, and it is further unlikely that a listing of such pet owners exists. When screening randomly selected households, the researcher can determine how many of the individuals contacted qualify and can use this information to estimate the total universe size. For example, if the researcher randomly contacts 1,000 households and finds that 45 of these own both a dog and a cat, the researcher can then estimate that roughly between 3% and 6% of all households in Australia own both types of pets.
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- Ethical Issues in Survey Research
- Anonymity
- Beneficence
- Cell Suppression
- Certificate of Confidentiality
- Common Rule
- Confidentiality
- Consent Form
- Debriefing
- Deception
- Disclosure
- Disclosure Limitation
- Ethical Principles
- Falsification
- Informed Consent
- Institutional Review Board (IRB)
- Minimal Risk
- Perturbation Methods
- Privacy
- Protection of Human Subjects
- Respondent Debriefing
- Survey Ethics
- Voluntary Participation
- Measurement - Interviewer
- Measurement - Mode
- Measurement - Questionnaire
- Aided Recall
- Aided Recognition
- Attitude Measurement
- Attitude Strength
- Attitudes
- Aural Communication
- Balanced Question
- Behavioral Question
- Bipolar Scale
- Bogus Question
- Bounding
- Branching
- Check All that Apply
- Closed-Ended Question
- Codebook
- Cognitive Interviewing
- Construct
- Construct Validity
- Context Effect
- Contingency Question
- Demographic Measure
- Dependent Variable
- Diary
- Don't Knows (DKs)
- Double Negative
- Double-Barreled Question
- Drop-down Menus
- Event History Calendar
- Exhaustive
- Factorial Survey Method (Rossi's Method)
- Feeling Thermometer
- Forced Choice
- Gestalt Psychology
- Graphical Language
- Guttman Scale
- HTML Boxes
- Item Order Randomization
- Item Response Theory
- Knowledge Question
- Language Translations
- Likert Scale
- List-Experiment Technique
- Mail Questionnaire
- Mutually Exclusive
- Open-Ended Question
- Paired Comparison Technique
- Precoded Question
- Priming
- Psychographic Measure
- Question Order Effects
- Question Stem
- Questionnaire
- Questionnaire Design
- Questionnaire Length
- Questionnaire-Related Error
- Radio Buttons
- Random Order
- Random Start
- Randomized Response
- Ranking
- Rating
- Reference Period
- Response Alternatives
- Response Order Effects
- Self-Administered Questionnaire
- Self-Reported Measure
- Semantic Differential Technique
- Sensitive Topics
- Show Card
- Step-Ladder Question
- True Value
- Unaided Recall
- Unbalanced Question
- Unfolding Question
- Vignette Question
- Visual Communication
- Measurement - Respondent
- Acquiescence Response Bias
- Behavior Coding
- Cognitive Aspects of Survey Methodology (CASM)
- Comprehension
- Encoding
- Extreme Response Style
- Key Informant
- Misreporting
- Nonattitude
- Nondifferentiation
- Overreporting
- Panel Conditioning
- Panel Fatigue
- Positivity Bias
- Primacy Effect
- Reactivity
- Recency Effect
- Record Check
- Respondent
- Respondent Burden
- Respondent Fatigue
- Respondent-Related Error
- Response
- Response Bias
- Response Latency
- Retrieval
- Reverse Record Check
- Satisficing
- Social Desirability
- Telescoping
- Underreporting
- Measurement - Miscellaneous
- Nonresponse - Item-Level
- Nonresponse - Outcome Codes and Rates
- Busies
- Completed Interview
- Completion Rate
- Contact Rate
- Contactability
- Contacts
- Cooperation Rate
- e
- Fast Busy
- Final Dispositions
- Hang-up during Introduction (HUDI)
- Household Refusal
- Ineligible
- Language Barrier
- Noncontact Rate
- Noncontacts
- Noncooperation Rate
- Nonresidential
- Nonresponse Rates
- Number Changed
- Out of Order
- Out of Sample
- Partial Completion
- Refusal
- Refusal Rate
- Respondent Refusal
- Response Rates
- Standard Definitions
- Temporary Dispositions
- Unable to Participate
- Unavailable Respondent
- Unknown Eligibility
- Unlisted Household
- Nonresponse - Unit-Level
- Advance Contact
- Attrition
- Contingent Incentives
- Controlled Access
- Cooperation
- Differential Attrition
- Differential Nonresponse
- Economic Exchange Theory
- Fallback Statements
- Gatekeeper
- Ignorable Nonresponse
- Incentives
- Introduction
- Leverage-Saliency Theory
- Noncontingent Incentives
- Nonignorable Nonresponse
- Nonresponse
- Nonresponse Bias
- Nonresponse Error
- Refusal Avoidance
- Refusal Avoidance Training (RAT)
- Refusal Conversion
- Refusal Report Form (RRF)
- Response Propensity
- Saliency
- Social Exchange Theory
- Social Isolation
- Tailoring
- Total Design Method (TDM)
- Unit Nonresponse
- Operations - General
- Advance Letter
- Bilingual Interviewing
- Case
- Data Management
- Dispositions
- Field Director
- Field Period
- Mode of Data Collection
- Multi-Level Integrated Database Approach (MIDA)
- Paper-and-Pencil Interviewing (PAPI)
- Paradata
- Quality Control
- Recontact
- Reinterview
- Research Management
- Sample Management
- Sample Replicates
- Supervisor
- Survey Costs
- Technology-Based Training
- Validation
- Verification
- Video Computer-Assisted Self-Interviewing (VCASI)
- Operations - In-Person Surveys
- Operations - Interviewer-Administered Surveys
- Operations - Mall Surveys
- Operations - Telephone Surveys
- Access Lines
- Answering Machine Messages
- Call Forwarding
- Call Screening
- Call Sheet
- Callbacks
- Caller ID
- Calling Rules
- Cold Call
- Computer-Assisted Telephone Interviewing (CATI)
- Do-Not-Call (DNC) Registries
- Federal Communications Commission (FCC) Regulations
- Federal Trade Commission (FTC) Regulations
- Hit Rate
- Inbound Calling
- Interactive Voice Response (IVR)
- Listed Number
- Matched Number
- Nontelephone Household
- Number Portability
- Number Verification
- Outbound Calling
- Predictive Dialing
- Prefix
- Privacy Manager
- Research Call Center
- Reverse Directory
- Suffix Banks
- Supervisor-to-interviewer Ratio
- Telephone Consumer Protection Act 1991
- Telephone Penetration
- Telephone Surveys
- Touchtone Data Entry
- Unmatched Number
- Unpublished Number
- Videophone Interviewing
- Voice over Internet Protocol (VoIP) and the Virtual Computer-Assisted Telephone Interview (CATI) Facility
- Political and Election Polling
- 800 Poll
- 900 Poll
- ABC News/Washington Post Poll
- Approval Ratings
- Bandwagon and Underdog Effects
- Call-in Polls
- Computerized-Response Audience Polling (CRAP)
- Convention Bounce
- Deliberative Poll
- Election Night Projections
- Election Polls
- Exit Polls
- Favorability Ratings
- FRUGing
- Horse Race Journalism
- Leaning Voters
- Likely Voter
- Media Polls
- Methods Box
- National Council on Public Polls (NCPP)
- National Election Pool (NEP)
- National Election Studies (NES)
- New York Times/CBS News Poll
- Poll
- Polling Review Board (PRB)
- Pollster
- Pre-Election Polls
- Pre-Primary Polls
- Precision Journalism
- Prior Restraint
- Probable Electorate
- Pseudo-Polls
- Push Polls
- Rolling Averages
- Sample Precinct
- Self-Selected Listener Opinion Poll (SLOP)
- Straw Polls
- Subgroup Analysis
- SUGing
- Tracking Polls
- Trend Analysis
- Trial Heat Question
- Undecided Voters
- Public Opinion
- Agenda Setting
- Consumer Sentiment Index
- Issue Definition (Framing)
- Knowledge Gap
- Mass Beliefs
- Opinion Norms
- Opinion Question
- Opinions
- Perception Question
- Political Knowledge
- Public Opinion
- Public Opinion Research
- Quality of Life Indicators
- Question Wording as Discourse Indicators
- Social Capital
- Spiral of Silence
- Third-Person Effect
- Topic Saliency
- Trust in Government
- Sampling, Coverage, and Weighting
- Adaptive Sampling
- Add-a-Digit Sampling
- Address-Based Sampling
- Area Frame
- Area Probability Sample
- Capture-Recapture Sampling
- Cell Phone Only Household
- Cell Phone Sampling
- Census
- Cluster Sample
- Clustering
- Complex Sample Surveys
- Convenience Sampling
- Coverage
- Coverage Error
- Cross-Sectional Survey Design
- Cutoff Sampling
- Designated Respondent
- Directory Sampling
- Disproportionate Allocation to Strata
- Dual-Frame Sampling
- Duplication
- Elements
- Eligibility
- Email Survey
- EPSEM Sample
- Equal Probability of Selection
- Error of Nonobservation
- Errors of Commission
- Errors of Omission
- Establishment Survey
- External Validity
- Field Survey
- Finite Population
- Frame
- Geographic Screening
- Hagan and Collier Selection Method
- Half-Open Interval
- Informant
- Internet Pop-up Polls
- Internet Surveys
- Interpenetrated Design
- Inverse Sampling
- Kish Selection Method
- Last-Birthday Selection
- List Sampling
- List-Assisted Sampling
- Log-in Polls
- Longitudinal Studies
- Mail Survey
- Mall Intercept Survey
- Mitofsky-Waksberg Sampling
- Mixed-Mode
- Multi-Mode Surveys
- Multi-Stage Sample
- Multiple-Frame Sampling
- Multiplicity Sampling
- n
- N
- Network Sampling
- Neyman Allocation
- Noncoverage
- Nonprobability Sampling
- Nonsampling Error
- Optimal Allocation
- Overcoverage
- Panel
- Panel Survey
- Population
- Population of Inference
- Population of Interest
- Post-Stratification
- Primary Sampling Unit (PSU)
- Probability of Selection
- Probability Proportional to Size (PPS) Sampling
- Probability Sample
- Propensity Scores
- Propensity-Weighted Web Survey
- Proportional Allocation to Strata
- Proxy Respondent
- Purposive Sample
- Quota Sampling
- Random
- Random Sampling
- Random-Digit Dialing (RDD)
- Ranked-Set Sampling (RSS)
- Rare Populations
- Registration-Based Sampling (RBS)
- Repeated Cross-Sectional Design
- Replacement
- Representative Sample
- Research Design
- Respondent-Driven Sampling (RDS)
- Reverse Directory Sampling
- Rotating Panel Design
- Sample
- Sample Design
- Sample Size
- Sampling
- Sampling Fraction
- Sampling Frame
- Sampling Interval
- Sampling Pool
- Sampling without Replacement
- Screening
- Segments
- Self-Selected Sample
- Self-Selection Bias
- Sequential Sampling
- Simple Random Sample
- Small Area Estimation
- Snowball Sampling
- Strata
- Stratified Sampling
- Superpopulation
- Survey
- Systematic Sampling
- Target Population
- Telephone Households
- Telephone Surveys
- Troldahl-Carter-Bryant Respondent Selection Method
- Undercoverage
- Unit
- Unit Coverage
- Unit of Observation
- Universe
- Wave
- Web Survey
- Weighting
- Within-Unit Coverage
- Within-Unit Coverage Error
- Within-Unit Selection
- Zero-Number Banks
- Survey Industry
- American Association for Public Opinion Research (AAPOR)
- American Community Survey (ACS)
- American Statistical Association Section on Survey Research Methods (ASA-SRMS)
- Behavioral Risk Factor Surveillance System (BRFSS)
- Bureau of Labor Statistics (BLS)
- Cochran, W. G.
- Council for Marketing and Opinion Research (CMOR)
- Council of American Survey Research Organizations (CASRO)
- Crossley, Archibald
- Current Population Survey (CPS)
- Gallup Poll
- Gallup, George
- General Social Survey (GSS)
- Hansen, Morris
- Institute for Social Research (ISR)
- International Field Directors and Technologies Conference (IFD&TC)
- International Journal of Public Opinion Research (IJPOR)
- International Social Survey Programme (ISSP)
- Joint Program in Survey Methodology (JPSM)
- Journal of Official Statistics (JOS)
- Kish, Leslie
- National Health and Nutrition Examination Survey (NHANES)
- National Health Interview Survey (NHIS)
- National Household Education Surveys (NHES) Program
- National Opinion Research Center (NORC)
- Pew Research Center
- Public Opinion Quarterly (POQ)
- Roper Center for Public Opinion Research
- Roper, Elmo
- Sheatsley, Paul
- Statistics Canada
- Survey Methodology
- Survey Sponsor
- Telemarketing
- U.S. Bureau of the Census
- World Association for Public Opinion Research (WAPOR)
- Survey Statistics
- Algorithm
- Alpha, Significance Level of Test
- Alternative Hypothesis
- Analysis of Variance (ANOVA)
- Attenuation
- Auxiliary Variable
- Balanced Repeated Replication (BRR)
- Bias
- Bootstrapping
- Chi-Square
- Composite Estimation
- Confidence Interval
- Confidence Level
- Constant
- Contingency Table
- Control Group
- Correlation
- Covariance
- Cronbach's Alpha
- Cross-Sectional Data
- Data Swapping
- Design Effects (deff)
- Design-Based Estimation
- Ecological Fallacy
- Effective Sample Size
- Experimental Design
- F-Test
- Factorial Design
- Finite Population Correction (fpc) Factor
- Frequency Distribution
- Hot-Deck Imputation
- Imputation
- Independent Variable
- Inference
- Interaction Effect
- Internal Validity
- Interval Estimate
- Intracluster Homogeneity
- Jackknife Variance Estimation
- Level of Analysis
- Main Effect
- Margin of Error (MOE)
- Marginals
- Mean
- Mean Square Error
- Median
- Metadata
- Mode
- Model-Based Estimation
- Multiple Imputation
- Noncausal Covariation
- Null Hypothesis
- Outliers
- p-Value
- Panel Data Analysis
- Parameter
- Percentage Frequency Distribution
- Percentile
- Point Estimate
- Population Parameter
- Post-Survey Adjustments
- Precision
- Probability
- Raking
- Random Assignment
- Random Error
- Raw Data
- Recoded Variable
- Regression Analysis
- Relative Frequency
- Replicate Methods for Variance Estimation
- Research Hypothesis
- Research Question
- Rho
- Sampling Bias
- Sampling Error
- Sampling Variance
- SAS
- Seam Effect
- Significance Level
- Solomon Four-Group Design
- Standard Error
- Standard Error of the Mean
- STATA
- Statistic
- Statistical Package for the Social Sciences (SPSS)
- Statistical Power
- SUDAAN
- Systematic Error
- t-Test
- Taylor Series Linearization
- Test-Retest Reliability
- Total Survey Error (TSE)
- Type I Error
- Type II Error
- Unbiased Statistic
- Validity
- Variable
- Variance
- Variance Estimation
- WesVar
- z-Score
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