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Prestige Bias In Surveys & How To Correct It
Introduction Prestige bias is a phenomenon that occurs when people feel more willing to express their opinions about something based on their level of prestige. It is a type of social desirability bias that occurs when people who are asked to participate in a survey or survey experiment give answers that they think will make…
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How To Correct Biased Survey Results
Introduction Survey biases can occur in any survey, but they are more likely to occur when the survey is conducted by humans. Humans are biased by their own opinions and experiences, which may lead them to give an answer that fits with those opinions and experiences. Survey biases can occur in any type of survey.…
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Reliability vs Validity in Research: Types & Examples
In this article, we’ll look at how to assess data reliability and validity, as well as how to apply it.
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Cobra Effect & Perverse Survey Incentives: Definition, Implications & Examples
In this post, we will discuss the origin of the Cobra effect, its implication, and some examples
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Observer Bias: Definition, Effects and Mitigation
In this article, we will discuss observer bias, the types, and the implications in research.
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What is Participant Bias? How to Detect & Avoid It
In this article, we will look at research errors from the angle of the participants, its outcome on a study and how to avoid participants’ bias
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Selection Bias in Research: Types, Examples & Impact
In this article, we’ll discuss the effects of selection bias, how it works, its common effects and the best ways to minimize it.
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How to do a Meta Analysis: Methodology, Pros & Cons
In this article, we’ll go through the concept of meta-analysis, what it can be used for, and how you can use it to improve how you collect data as a researcher
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Quota Sampling: Definition, Types, Pros, Cons & Examples
In this article, we’ll explore the concept of quota sampling, its types, and some real-life examples of it can be applied in rsearch
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Systematic Errors in Research: Definition, Examples
In this article, we are going to explore the types of systematic error, the causes of this error, how to identify, and how to avoid it.