SAMPLING BIASES Meaning and
Definition
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Sampling biases refer to the systematic errors or inaccuracies that occur in a research study when the sample selected is not representative of the target population. In other words, sampling bias occurs when certain groups or individuals are overrepresented or underrepresented in a sample, leading to distorted or invalid conclusions.
There are several types of sampling biases, including selection bias, non-response bias, and undercoverage bias. Selection bias arises when the criteria for selecting individuals into the sample favor certain characteristics or exclude others, resulting in a non-random sample. Non-response bias occurs when individuals selected for the study decline to participate or are unable to be reached, which may introduce a bias if those who respond differ systematically from non-respondents. Undercoverage bias refers to situations where certain subgroups within the target population are not adequately represented in the sample.
Sampling biases can have significant implications for the generalizability and validity of research findings. If a sample is not representative of the target population, the results obtained may not accurately reflect the larger population. This can lead to misleading conclusions and prevent researchers from making valid inferences about the broader population. Therefore, it is essential to minimize or address possible sampling biases through careful study design and sampling methods to increase the reliability and external validity of the research.
Common Misspellings for SAMPLING BIASES
- aampling biases
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- sampoing biases
Etymology of SAMPLING BIASES
The word "sampling biases" is formed by combining two terms: "sampling" and "biases".
- Sampling: The word "sampling" refers to the process of selecting a subset of individuals or items from a larger group or population in order to make inferences or generalizations about the entire group. This term is derived from the Middle English word "sampler", which originally meant a piece of embroidery or needlework that was intended to be used as an example or pattern. Over time, the word "sampler" came to be used in statistics to refer to the process of selecting a sample.
- Biases: The term "bias" refers to a systematic error or deviation from the true value or reality caused by certain factors or influences.
