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Types of Bias

Acquiescence Bias
Acquiescence Bias

Acquiescence bias is a category of response bias in which respondents to a survey have a tendency to agree with all the questions or to indicate a positive connotation.[1][2] Acquiescence is sometimes referred to as "yea-saying" and is the tendency of a respondent to agree with a statement when in doubt.

Anchoring Bias
Anchoring Bias

Anchoring bias in decision-making. Anchoring or focalism is a term used in psychology to describe the common human tendency to rely too heavily, or "anchor," on one trait or piece of information when making decisions.

image: rentcafe.com
Availability Bias
Availability Bias

Easy Definition of Availability Bias: Don't think you'll win an argument with one prominent example. If you try that you might be showing Availability Bias. Geeky Definition of Availability Bias: Availability Bias is the tendency to let an example that comes to mind easily affect decision-making or reasoning.

image: tutor2u.net
Biased Estimators
Biased Estimators

All else being equal, an unbiased estimator is preferable to a biased estimator, but in practice all else is not equal, and biased estimators are frequently used, generally with small bias. When a biased estimator is used, bounds of the bias are calculated.

Confirmation Bias
Confirmation Bias

Confirmation Bias Submitted by Ryan on March 28, 2017 - 4:50pm The article was great at explaining confirmation bias, but then at the end you speak of police procedures and interviewing witnesses and I think the use of such an anecdote is counterproductive as eyewitness accounts have been scientifically proven unreliable in studies for the very subject of this article... confirmation bias and selective memory.

Groupthink and the Bandwagon Effect
Groupthink and the Bandwagon Effect

The Bandwagon Bias – The Dangers of Groupthink. ... nowadays, social media have an enormous effect on groupthink. ... Bandwagon bias is a form of groupthink.

Media Bias and Criticism
Media Bias and Criticism

Media criticism is the act of closely examining and judging the media. Media bias is the perception that the media is reporting the news in a partial or prejudiced manner. It occurs when a media outlet seems to push a specific viewpoint or ignore an important aspect of a story.

source: study.com
Observer Expectancy Effect
Observer Expectancy Effect

The observer-expectancy effect (also called the experimenter-expectancy effect, expectancy bias, observer effect, or experimenter effect) is a form of reactivity in which a researcher's cognitive bias causes them to subconsciously influence the participants of an experiment.

Omission and Selection
Omission and Selection

Bias through selection and omission. An editor can express bias by choosing whether or not to use a specific news story. Within a story, some details can be ignored, others can be included to give readers or viewers a different opinion about the events reported.

Selection Bias
Selection Bias

Selection bias. 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 ensuring that the sample obtained is not representative of the population intended to be analyzed.

Social Desirability Bias
Social Desirability Bias

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.

Story Selection and Placement
Story Selection and Placement

Bias by story selection, which is a pattern of reporting news stories that coincide with a specific agenda. Bias by placement, which occurs when a news outlet prominently places news stories that coincide with a specific agenda.

source: study.com
Survivorship Bias
Survivorship Bias

Survivorship bias is the tendency to view the fund performance of existing funds in the market as a representative comprehensive sample. Survivorship bias can result in the overestimation of historical performance and general attributes of a fund.

What is Bias in Statistics
What is Bias in Statistics

Bias is the tendency of a statistic to overestimate or underestimate a parameter. To understand the difference between a statistic and a parameter, see this article. Bias can seep into your results for a slew of reasons including sampling or measurement errors, or unrepresentative samples.