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Opinion Norms
From a social science perspective, public opinion is much more than an aggregation of polling statistics. While individual survey responses are an instrumental component of understanding public opinion as a social force, the context in which the individual operates (e.g. media environment, typical discussion patterns) is an equally important consideration in obtaining a better understanding of the evolution of public opinion. Recognizing the normative aspects of a public opinion climate allows researchers to understand better how individuals come to possess opinions and how those opinions are shared with others.
Past work on behavioral norms offers insight as to how contextual forces, or “climates of opinion,” can influence the actions and expressions of group members. Such social norms can be classified into two main categories, descriptive and injunctive. Descriptive norms are informational and describe the way things are within a given social setting, whereas injunctive norms possess a sanctioning function and prescribe the way things ought to be. Individuals who violate injunctive norms (i.e. engage in proscribed behavior) run the risk of alienating themselves from those around them.
By making use of interactions with important reference groups and exposure to available media, individuals are able to get a sense of what is socially acceptable when expressing political views and opinions. This iterative process establishes the normative environment surrounding opinion expression—it is within this climate that individuals may feel more or less inclined to express their own view. Respondents' perceptions of congruity between their own opinion and the perceived opinion of a given reference group can either encourage or dissuade opinion expression, much like behavioral norms influence the actions of those within a given social context.
Individual perceptions of this climate are an important and quantifiable aspect of understanding the impact that normative environments can have on individual behavior and expression. Aggregated perceptions of public opinion, such as those generated from survey data, constitute a “social barometer” that quantifies both the extremity and the amount of agreement among actors as related to these prevailing social forces.
Researchers interested in capturing the normative aspects of public opinion should account for the following opinion characteristics: (a) the valence and the strength of individual opinion (e.g. Do you approve or disapprove of X?, and To what degree?); and (b) perceptions of the valence and strength of the group opinion (e.g. key reference groups, such as members of your community, residents of this state). Within a survey context, questionnaires need to be geared toward respondents' perceptions of the climate of opinion and can included questions such as, In your judgment, what would the reaction be if someone expressed strong support for Candidate X during the course of a conversation among people in your neighborhood: Very positive, somewhat positive, neutral, somewhat negative, or very negative? While survey items such as these tap into individual perceptions of the context in which opinions are expressed, they also allow for simple (experimental) manipulations of key variables within the question (e.g. substituting candidates or discussion topics, level of support or opposition, and reference groups named within the question).
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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
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- Falsification
- Informed Consent
- Institutional Review Board (IRB)
- Minimal Risk
- Perturbation Methods
- Privacy
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- Measurement - Interviewer
- Measurement - Mode
- Measurement - Questionnaire
- Aided Recall
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- Comprehension
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- Extreme Response Style
- Key Informant
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- Nonattitude
- Nondifferentiation
- Overreporting
- Panel Conditioning
- Panel Fatigue
- Positivity Bias
- Primacy Effect
- Reactivity
- Recency Effect
- Record Check
- Respondent
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- Response
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- Response Latency
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- Measurement - Miscellaneous
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- Busies
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- e
- Fast Busy
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- Nonresidential
- Nonresponse Rates
- Number Changed
- Out of Order
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- Standard Definitions
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- Unable to Participate
- Unavailable Respondent
- Unknown Eligibility
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- 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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