limited representativeness

USAGE SUMMARY

The phrase "limited representativeness" is correct and usable in written English.
It can be used in contexts where you want to describe a situation, sample, or data set that does not fully reflect the broader population or phenomenon being studied. Example: "The survey results showed limited representativeness, as they were based only on responses from a small, specific demographic."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

13 human-written examples

Therefore, they may have limited representativeness.

BMJ Open

For cohort studies, limited representativeness may mean that results cannot be assumed to be true for unsurveyed or underrepresented subsets of the population of interest; this was a key incentive in devising the xTEND study.

BMC Medical Research Methodology

Whilst being the most accurate, their usefulness for assessing canopy structure at stand level is limited due to time requirements but also due to their limited representativeness for heterogeneous canopies typically for natural forests.

Forest Ecosystems

Constrained by the limited representativeness of such a sample set, the obtained soil maps are often incomplete in spatial coverage with "gaps" at the locations which cannot be well represented by these samples.

Geoderma

FR is a challenging problem in video surveillance due to variations in capture conditions, to camera interoperability, and to the limited representativeness of target facial models used for matching.

Pattern Recognition

Even a large-scale field study with many plots may have a limited representativeness and statistical power (for example, see the study of Wang and Riffel [34]).

Environmental Sciences Europe

Human-verified similar examples from authoritative sources

Similar Expressions

47 human-written examples

Multiple sampling methods may limit representativeness of this cohort, and hence the generalizability of these findings.

BMC Health Services Research

We included approximately 10% of pediatric RCTs published in 2007, potentially limiting representativeness.

BMC Pediatrics

While the sample size may limit representativeness of findings to other healthcare settings, we included a range of nurses working in different environments and data saturation was achieved.

BMJ Open

Another limitation is the use of a convenience sampling method, which may have limited the representativeness of the informants.

BMC Family Practice

42 Recruitment of participants from two NHS hospitals may have limited the representativeness of the findings to other healthcare settings.

BMJ Open

Expert writing Tips

Best practice

When using "limited representativeness", clearly specify the factors that contribute to the limitation. For example, mention specific demographic groups that are underrepresented or biases in the data collection method.

Common error

Avoid overstating the generalizability of findings when "limited representativeness" is a concern. Acknowledge the limitations and suggest caution when applying results to broader populations.

Linguistic Context

The phrase "limited representativeness" functions as a descriptive term, typically used to acknowledge a potential weakness in a research study or data set. It indicates that the sample or data may not accurately reflect the broader population or phenomenon being investigated. As Ludwig AI confirms, its usage is correct.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, "limited representativeness" is a phrase used to describe a situation where a sample or dataset does not fully reflect the characteristics of a broader population. As Ludwig AI correctly indicates, it is grammatically sound and frequently used in scientific and research contexts. Its primary function is to acknowledge potential limitations in the generalizability of findings. To ensure clarity and transparency, it is best practice to specify the factors contributing to the limited representation. Common errors include overstating the generalizability of results, which should be avoided. Be cautious when applying results to broader populations and acknowledge its limitations.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

non-representative sample

States directly that the sample does not accurately reflect the population.

restricted scope

Focuses on the confined nature of the data or sample.

incomplete reflection

Highlights the partial and potentially skewed nature of the representation.

partial coverage

Highlights the incomplete extent of the data or sample's reach.

narrow generalizability

Emphasizes the limited extent to which findings can be applied to other contexts.

selective representation

Suggests a bias in the selection process, leading to a non-random sample.

biased sample

Directly indicates the presence of a systematic error in the sampling method.

circumscribed validity

Highlights that the validity of the findings is limited to specific conditions or parameters.

skewed data

Indicates a distortion or asymmetry in the data distribution.

localized relevance

Indicates the findings are pertinent to a specific location or group only.

FAQs

What does "limited representativeness" mean in research?

In research, "limited representativeness" means that the sample studied does not fully reflect the characteristics of the broader population, potentially affecting the generalizability of the findings.

How does sample size affect "limited representativeness"?

A small sample size can /s/limit+the+representativeness of a study, as it may not capture the full variability within the population.

What are some alternatives to the phrase "limited representativeness"?

Alternatives include "restricted scope", "biased sample", or "non-representative sample" depending on the specific context.

What factors can contribute to "limited representativeness" in a study?

Factors such as convenience sampling, low response rates, and specific inclusion/exclusion criteria can all contribute to a /s/limit+the+representativeness of a study.