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  2. Participation bias - Wikipedia

    en.wikipedia.org/wiki/Participation_bias

    Participation bias or non-response bias is a phenomenon in which the results of 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 biased estimates.

  3. Response bias - Wikipedia

    en.wikipedia.org/wiki/Response_bias

    Non-response bias is not the opposite of response bias and is not a type of cognitive bias: it occurs in a statistical survey if those who respond to the survey differ in the outcome variable. Response rate is not a cognitive bias, but rather refers to a ratio of those who complete the survey and those who do not.

  4. Survey sampling - Wikipedia

    en.wikipedia.org/wiki/Survey_sampling

    Non-response bias: When individuals or households selected in the survey sample cannot or will not complete the survey there is the potential for bias to result from this non-response. Nonresponse bias occurs when the observed value deviates from the population parameter due to differences between respondents and nonrespondents. [12] Response ...

  5. Response rate (survey) - Wikipedia

    en.wikipedia.org/wiki/Response_rate_(survey)

    A low response rate can give rise to sampling bias if the nonresponse is unequal among the participants regarding exposure and/or outcome. Such bias is known as nonresponse bias. For many years, a survey's response rate was viewed as an important indicator of survey quality.

  6. Sampling bias - Wikipedia

    en.wikipedia.org/wiki/Sampling_bias

    Self-selection bias (see also Non-response bias), which is possible whenever the group of people being studied has any form of control over whether to participate (as current standards of human-subject research ethics require for many real-time and some longitudinal forms of study). Participants' decision to participate may be correlated with ...

  7. Bias (statistics) - Wikipedia

    en.wikipedia.org/wiki/Bias_(statistics)

    The bias of an estimator is the difference between an estimator's expected value and the true value of the parameter being estimated. Although an unbiased estimator is theoretically preferable to a biased estimator, in practice, biased estimators with small biases are frequently used.

  8. Passive vs. Non-Passive Income: What's the Actual Difference?

    www.aol.com/finance/passive-vs-non-passive...

    The post Passive vs. Non-Passive Income: What's the Difference? appeared first on SmartReads by SmartAsset. The key to effective financial planning are two primary types of income: Passive and non ...

  9. Total survey error - Wikipedia

    en.wikipedia.org/wiki/Total_survey_error

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