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In statistics, sampling bias is a bias in which a sample is collected in such a way that some members of the intended population have a lower or higher sampling probability than others. It results in a biased sample of a population in which all individuals, or instances, were not equally likely to have been selected. If this is not accounted for, results can be erroneously attributed to the phenomenon under study rather than to the method of sampling.
In statistics, survey sampling describes the process of selecting a sample of elements from a target population to conduct a survey. The term "survey" may refer to many different types or techniques of observation. In survey sampling it most often involves a questionnaire used to measure the characteristics and/or attitudes of people. Different ways of contacting members of a sample once they have been selected is the subject of survey data collection. The purpose of sampling is to reduce the cost and/or the amount of work that it would take to survey the entire target population. A survey that measures the entire target population is called a census. A sample refers to a group or section of a population from which information is to be obtained.
Randomization is a statistical process in which a random mechanism is employed to select a sample from a population or assign subjects to different groups. The process is crucial in ensuring the random allocation of experimental units or treatment protocols, thereby minimizing selection bias and enhancing the statistical validity. It facilitates the objective comparison of treatment effects in experimental design, as it equates groups statistically by balancing both known and unknown factors at the outset of the study. In statistical terms, it underpins the principle of probabilistic equivalence among groups, allowing for the unbiased estimation of treatment effects and the generalizability of conclusions drawn from sample data to the broader population.
In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample of individuals from within a statistical population to estimate characteristics of the whole population. The subset is meant to reflect the whole population and statisticians attempt to collect samples that are representative of the population. Sampling has lower costs and faster data collection compared to recording data from the entire population, and thus, it can provide insights in cases where it is infeasible to measure an entire population.
Questionnaire construction refers to the design of a questionnaire to gather statistically useful information about a given topic. When properly constructed and responsibly administered, questionnaires can provide valuable data about any given subject.
Survey methodology is "the study of survey methods". As a field of applied statistics concentrating on human-research surveys, survey methodology studies the sampling of individual units from a population and associated techniques of survey data collection, such as questionnaire construction and methods for improving the number and accuracy of responses to surveys. Survey methodology targets instruments or procedures that ask one or more questions that may or may not be answered.
An opinion poll, often simply referred to as a survey or a poll, is a human research survey of public opinion from a particular sample. Opinion polls are usually designed to represent the opinions of a population by conducting a series of questions and then extrapolating generalities in ratio or within confidence intervals. A person who conducts polls is referred to as a pollster.
Selection bias is the bias introduced by the selection of individuals, groups, or data for analysis in such a way that proper randomization is not achieved, thereby failing to ensure that the sample obtained is representative of the population intended to be analyzed. It is sometimes referred to as the selection effect. The phrase "selection bias" most often refers to the distortion of a statistical analysis, resulting from the method of collecting samples. If the selection bias is not taken into account, then some conclusions of the study may be false.
In Internet culture, a lurker is typically a member of an online community who observes, but does not participate by posting. The exact definition depends on context. Lurkers make up a large proportion of all users in online communities. Lurking allows users to learn the conventions of an online community before they participate, improving their socialization when they eventually "de-lurk". However, a lack of social contact while lurking sometimes causes loneliness or apathy among lurkers.
A questionnaire is a research instrument that consists of a set of questions for the purpose of gathering information from respondents through survey or statistical study. A research questionnaire is typically a mix of close-ended questions and open-ended questions. Open-ended, long-term questions offer the respondent the ability to elaborate on their thoughts. The Research questionnaire was developed by the Statistical Society of London in 1838.
Response bias is a general term for a wide range of tendencies for participants to respond inaccurately or falsely to questions. These biases are prevalent in research involving participant self-report, such as structured interviews or surveys. Response biases can have a large impact on the validity of questionnaires or surveys.
In social science research, social-desirability bias is a type of response bias that is the tendency of survey respondents to answer questions in a manner that will be viewed favorably by others. It can take the form of over-reporting "good behavior" or under-reporting "bad", or undesirable behavior. The tendency poses a serious problem with conducting research with self-reports. This bias interferes with the interpretation of average tendencies as well as individual differences.
In survey research, response rate, also known as completion rate or return rate, is the number of people who answered the survey divided by the number of people in the sample. It is usually expressed in the form of a percentage. The term is also used in direct marketing to refer to the number of people who responded to an offer.
An open-access poll is a type of opinion poll in which a nonprobability sample of participants self-select into participation. The term includes call-in, mail-in, and some online polls.
In statistics, missing data, or missing values, occur when no data value is stored for the variable in an observation. Missing data are a common occurrence and can have a significant effect on the conclusions that can be drawn from the data.
Automated telephone surveys is a systematic collection a data from demography by making calls automatically to the preset list of respondents at the aim of collecting information and gain feedback via the telephone and the internet. Automated surveys are used for customer research purposes by call centres for customer relationship management and performance management purposes. They are also used for political polling, market research and job satisfaction surveying.
Self-report sexual risk behaviors are a cornerstone of reproductive health–related research, particularly when related to assessing risk-related outcomes such as pregnancy or acquisition of sexually transmitted diseases (STDs) such as HIV. Despite their frequency of use, the utility of self-report measures to provide an accurate account of actual behavior are questioned, and methods of enhancing their accuracy should be a critical focus when administering such measures. Self-reported assessments of sexual behavior are prone to a number of measurement concerns which may affect the reliability and validity of a measure, ranging from a participant's literacy level and comprehension of behavioral terminology to recall biases and self-presentation.
In survey sampling, Total Survey Error includes all forms of survey error including sampling variability, interviewer effects, frame errors, response bias, and non-response bias. Total Survey Error is discussed in detail in many sources including Salant and Dillman.
With the application of probability sampling in the 1930s, surveys became a standard tool for empirical research in social sciences, marketing, and official statistics. The methods involved in survey data collection are any of a number of ways in which data can be collected for a statistical survey. These are methods that are used to collect information from a sample of individuals in a systematic way. First there was the change from traditional paper-and-pencil interviewing (PAPI) to computer-assisted interviewing (CAI). Now, face-to-face surveys (CAPI), telephone surveys (CATI), and mail surveys are increasingly replaced by web surveys. In addition, remote interviewers could possibly keep the respondent engaged while reducing cost as compared to in-person interviewers.
Roderick Joseph Alexander Little is an academic statistician, whose main research contributions lie in the statistical analysis of data with missing values and the analysis of complex sample survey data. Little is Richard D. Remington Distinguished University Professor of Biostatistics in the Department of Biostatistics at the University of Michigan, where he also holds academic appointments in the Department of Statistics and the Institute for Social Research.
References
- 1 2 Fowler, Floyd (2009). Survey Research Methods (4th ed.) - SAGE Research Methods. doi:10.4135/9781452230184. ISBN 9781412958417.
- ↑ "Participation Bias in AIDS-Related Telephone Surveys: Results From the National AIDS Behavioral Survey (NABS) Non-Response Study".
- ↑ Deming, W. Edwards. Sample design in business research. Vol. 23. John Wiley & Sons, 1990.
- ↑ Ann, Bowling (2014-07-01). Research methods in health : Investigating health and health services. Milton Keynes. ISBN 9780335262755. OCLC 887254158.
{{cite book}}: CS1 maint: location missing publisher (link) - ↑ Imam, Mohamed A.; et al. (2014). "Loss to follow-up after total hip replacement: a source of bias in patient reported outcome measures and registry datasets?". HIP International. 24 (5): 465–472. doi:10.5301/hipint.5000141. PMID 24970318. S2CID 37276808.
- ↑ Armstrong, J.S.; Overton, T. (1977). "Estimating Nonresponse Bias in Mail Surveys". Journal of Marketing Research. 14 (3): 396–402. CiteSeerX 10.1.1.36.7783 . doi:10.2307/3150783. JSTOR 3150783.