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Topic Saliency
The saliency of a topic—that is, its importance or relevance to potential respondents—can affect response patterns to surveys. There are several explanations as to how and why topic saliency affects response rates. First, if a potential respondent believes the topic to be important, he or she may be more likely to rationalize incurring the costs of responding to the survey. Second, responding to a survey topic that is of personal interest may have intrinsic rewards, such as providing an opportunity to exhibit one's knowledge or share one's opinion. Third, responding to a survey about a salient topic may be motivated by perceived direct benefits. Survey participation may be viewed as an opportunity to advance one's own needs, interests, or agenda. All of these explanations may apply to explain why a single respondent or respondents are more apt to complete a survey about a salient topic.
Research suggests that people are more likely to respond to a survey if the topic is of interest to them. For example, teachers are more likely than non-teachers to respond to, and cooperate with, a survey about education and schools; senior citizens are more likely than younger adults to respond to a survey about Medicare and health.
In addition to its impact on survey participation, topic saliency is important for attitude formation and response retrieval. Theories about the representation of attitudes in memory suggest that attitudes reported by the respondent as being more important or as being more strongly held are also more stable over time. Attitudes about salient topics require less cognitive effort to recall, resulting in attitude responses that are more stable over time, more stable when presented with counterarguments, and more consistent with other attitudes and considerations.
There is great debate about whether attitudes are saved in memory and retrieved when the situation or the survey question arises (the online model of attitude formation), or whether attitudes are continually constructed from multiple considerations that are sampled each time they are needed (the memory model). The online model implies a continuum ranging from nonattitudes to “true” attitudes, where attitude stability and consistency are partly determined by topic saliency. The memory model implies that attitude formation is a stochastic process subject to some variability where the respondent samples considerations off the “top-of-the-head” when asked a survey question. In this model, more salient topics result in a response distribution for each individual that is more tightly clustered and therefore also more stable.
Whether the attitude is “true” or constructed on the spot, attitudes about salient topics are often considered to be more resistant to differences in questionnaire form. However, the evidence is mixed and depends highly on how topic saliency is measured. Self-reports of attitude importance, certainty, or strength are more resistant to certain questionnaire design features. When salience is measured by interest in politics or by the cognitive accessibility of those attitudes, evidence is tenuous on whether topic salience is related to questionnaire form or other survey response patterns.
Topic saliency has implications for survey operations, countering survey nonresponse, questionnaire design, and analysis. People are more likely to cooperate with, and respond more quickly to, a survey if the survey topic is of interest to them, suggesting a need to compensate for the potential bias this effect may cause by using a multiple contact strategy. Questionnaire designers and analysts need to consider the implications of their question form for their response distribution and thus for the interpretation of the results.
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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
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- Survey Ethics
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- Measurement - Interviewer
- Measurement - Mode
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- Aided Recall
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- Attitudes
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- Double-Barreled Question
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- Knowledge Question
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- e
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- Unpublished Number
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- Political and Election Polling
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- FRUGing
- Horse Race Journalism
- Leaning Voters
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- Subgroup Analysis
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- Public Opinion
- Agenda Setting
- Consumer Sentiment Index
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- Mass Beliefs
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- Opinion Question
- Opinions
- Perception Question
- Political Knowledge
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- 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
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- Capture-Recapture Sampling
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- Census
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- Elements
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- Equal Probability of Selection
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- Half-Open Interval
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- Last-Birthday Selection
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- Log-in Polls
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- Mail Survey
- Mall Intercept Survey
- Mitofsky-Waksberg Sampling
- Mixed-Mode
- Multi-Mode Surveys
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- Multiplicity Sampling
- n
- N
- Network Sampling
- Neyman Allocation
- Noncoverage
- Nonprobability Sampling
- Nonsampling Error
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- Population
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- Population of Interest
- Post-Stratification
- Primary Sampling Unit (PSU)
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- Probability Proportional to Size (PPS) Sampling
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- Proportional Allocation to Strata
- Proxy Respondent
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- Quota Sampling
- Random
- Random Sampling
- Random-Digit Dialing (RDD)
- Ranked-Set Sampling (RSS)
- Rare Populations
- Registration-Based Sampling (RBS)
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- Reverse Directory Sampling
- Rotating Panel Design
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- Sample Design
- Sample Size
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- Sampling Fraction
- Sampling Frame
- Sampling Interval
- Sampling Pool
- Sampling without Replacement
- Screening
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- Strata
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- Superpopulation
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- Systematic Sampling
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- Telephone Households
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- Troldahl-Carter-Bryant Respondent Selection Method
- Undercoverage
- Unit
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- Wave
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- Weighting
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- 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
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- Contingency Table
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- Data Swapping
- Design Effects (deff)
- Design-Based Estimation
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- Mean Square Error
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- Metadata
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- Null Hypothesis
- Outliers
- p-Value
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- Parameter
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- 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
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- 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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