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  2. Response bias - Wikipedia

    en.wikipedia.org/wiki/Response_bias

    Response bias. A survey using a Likert style response set. This is one example of a type of survey that can be highly vulnerable to the effects of response bias. 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 ...

  3. Sampling bias - Wikipedia

    en.wikipedia.org/wiki/Sampling_bias

    Sampling bias. 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 [1] of a population (or non-human factors) in which all individuals, or instances, were not equally likely to have ...

  4. Survey sampling - Wikipedia

    en.wikipedia.org/wiki/Survey_sampling

    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. Survey samples can be broadly divided into two ...

  5. Likert scale - Wikipedia

    en.wikipedia.org/wiki/Likert_scale

    Likert scaling is a bipolar scaling method, measuring either positive or negative response to a statement. Sometimes an even-point scale is used, where the middle option of "neither agree nor disagree" is not available. This is sometimes called a "forced choice" method, since the neutral option is removed. [10]

  6. Survey methodology - Wikipedia

    en.wikipedia.org/wiki/Survey_methodology

    Survey methodology is "the study of survey methods". [1] 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.

  7. Stratified sampling - Wikipedia

    en.wikipedia.org/wiki/Stratified_sampling

    In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations . Stratified sampling example. In statistical surveys, when subpopulations within an overall population vary, it could be advantageous to sample each subpopulation ( stratum) independently.

  8. Participation bias - Wikipedia

    en.wikipedia.org/wiki/Participation_bias

    Participation bias or non-response bias is a phenomenon in which the results of elections, studies, polls, etc. become non-representative because the participants disproportionately possess certain traits which affect the outcome. These traits mean the sample is systematically different from the target population, potentially resulting in ...

  9. Huffington Post / YouGov Public Opinion Polls

    data.huffingtonpost.com/yougov/methodology

    The HuffPost/YouGov poll is a collaborative effort of the Huffington Post and YouGov, who share responsibility for survey content and the costs of data collection. Each survey consists of approximately 1,000 completed interviews among U.S. adults using a sample selected from YouGov’s opt-in online panel of all 50 states plus the District of ...

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