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Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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because of low sample

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "because of low sample" is not entirely correct in written English as it lacks clarity and specificity.
It can be used in contexts where you are explaining a situation or outcome that is influenced by a small sample size, but it would be clearer with additional context. Example: "The results of the study were inconclusive because of low sample size, making it difficult to draw definitive conclusions."

Science

Human-verified examples from authoritative sources

Exact Expressions

28 human-written examples

In the years past, CE has become a hit for drug-protein interaction measurements because of low sample requirements and consumption, simplicity, short analysis times, high sample throughput and high separation efficiencies [5, 88].

The estimation of demographic parameters remains difficult because of the difficulties of verifying the hypothesis of the models used, of estimating accurate initial parameters (e.g., absolute date of domestication) and sometimes because of low sample sizes.

Science

Plosone

The scores, i.e. the relative positions of samples on the two leading PCA axes, were also analysed with general linear models as described above (except for L. autumnalis because of low sample number) to assess the significance of the experimental factors on overall metabolic composition.

Science

Plosone

As bees younger than 54 h were not very abundant outside the brood nest (Fig. 3A) a comparison with the brood nest and between age classes was not possible at all Texp because of low sample sizes (despite a total of 12732 measurements).

Science

Plosone

Because of low sample size, source level estimates for the three vespertilionid species, L. ega, M. albescens, and M. nigricans should only be regarded as minimum values, but for the other eight bat species we conclude that our source level estimates provide realistic representations of the intensities emitted in search flight.

Science

Plosone

We had limited power because of low sample size.

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Human-verified similar examples from authoritative sources

Similar Expressions

32 human-written examples

This may be because in the recently glaciated Swedish landscape, the ice sheet itself and the melt water from the declining ice sheet have transported soil material over large distances and/or because of low sampling density in many parts of the country.

Haplotypes 272-273 formed a distinct, well-supported branch among basal lineages, but was not recognized as a separate sub-group because of low sampling density (i.e. only consisted of 2 haplotypes).

The number of migrants between lakes was calculated per generation (Nm) to estimate gene flow among populations of the two parental species (i.e., D. galeata and D. longispina) and the hybrids (F1 and F2 NewHybrids classes were pooled into one group of "hybrids", because of the low sample size of the F2 class), respectively (in GENETIX 4.05).

Pairwise Nei's genetic distances [ 21] were calculated in GENALEX 6 [ 44], among populations belonging to D. galeata, D. longispina or hybrids (F1 and F2 NewHybrids classes were pooled into one group of "hybrids", because of the low sample size of the F2 class).

There was no statistical relationship between dolphin age group and hearing loss (Fisher Exact Test p = 1.000), when including all dolphins and grouping calves and subadults, because of the low sample size of calves (Table 2).

Science

Plosone
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Expert writing Tips

Best practice

When discussing research limitations, be specific about how the "because of low sample" size affects the study's conclusions. For example, mention the reduced statistical power or the inability to generalize findings.

Common error

Avoid making broad generalizations or definitive statements when your analysis is constrained "because of low sample" size. Acknowledge the limitations and suggest avenues for further research with larger samples.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "because of low sample" functions as an adverbial phrase, specifically a causal adjunct. It provides the reason or cause for a particular situation or outcome. Ludwig's examples illustrate its use in explaining limitations in research due to insufficient data.

Expression frequency: Common

Frequent in

Science

95%

News & Media

3%

Formal & Business

2%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "because of low sample" is a causal connector, frequently used in scientific and academic writing to explain limitations arising from small sample sizes. While grammatically acceptable, as confirmed by Ludwig AI, it's crucial to provide context and specify the impact of the "low sample". Using alternatives like "due to limited sample size" can add clarity. Remember to avoid overgeneralizing conclusions based on limited data and to acknowledge the need for further research. The phrase finds its primary use within scientific publications, making it a part of the formal and scientific register.

FAQs

How does "because of low sample" size affect research outcomes?

A "low sample" size can lead to reduced statistical power, making it harder to detect significant effects. It can also limit the generalizability of the findings to a larger population.

What are some alternatives to saying "because of low sample"?

When is it appropriate to use the phrase "because of low sample" in scientific writing?

It's appropriate when explaining limitations or caveats in your research, where a "low sample" size may have influenced the results or conclusions. Always provide context and explain the specific impact.

How can researchers mitigate the impact of "because of low sample" size?

Researchers can use techniques like increasing the sample size in future studies, employing more sensitive statistical tests, or focusing on effect sizes rather than p-values. Bayesian methods can also be helpful.

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Source & Trust

82%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Most frequent sentences: