insufficient data quantity

USAGE SUMMARY

The phrase "insufficient data quantity" is correct and usable in written English.
It can be used in contexts where there is not enough data available for analysis or decision-making. Example: "The results of the experiment were inconclusive due to insufficient data quantity, making it difficult to draw any meaningful conclusions."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

Making effective use of prior knowledge is also crucial in any inference problem [ 8], because it is usually vastly underdetermined due to insufficient data quantity and/or quality.

BMC Systems Biology

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

We excluded the following patients: 74 prescribed buprenorphine patches; 19 whose prescriptions specified "for pain;" 152 who received injectable methadone or buprenorphine; 430 patients (5983 prescriptions) with insufficient data on duration, quantity, and daily dose to calculate periods on and off treatment.

British Medical Journal

However, there are insufficient data, regarding history, type, and quantity of radiotherapy in the HypoCCS database, to conduct a specific analysis to assess the risk for radiation-associated cancer morbidity.

European Journal of Endocrinology

I retired on insufficient data.

The New York Times

The G line was not ranked because of insufficient data.

The New York Times

It's clear that there are insufficient data".

The New York Times - Science

How long K-9?" K-9: "Insufficient data".

The Guardian

(Four councils were excluded because of insufficient data).

The Guardian

Petchley found there was insufficient data to make any judgment.

The Guardian - Opinion

Taken together it concludes there is insufficient data to demonstrate a current worldwide pollinator crisis.

The Guardian

"You just don't know because there tends to be insufficient data to do anything".

The New York Times - Magazine

Expert writing Tips

Best practice

Prioritize data collection methods to address the "insufficient data quantity" and/or quality issues, and improve future data gathering strategies.

Common error

Avoid drawing definitive conclusions or making strong claims when the analysis is based on "insufficient data quantity". Acknowledge the uncertainty and suggest areas for further research.

Linguistic Context

The phrase "insufficient data quantity" functions as an adjectival phrase modifying a noun. It describes the state or condition of the data being limited in amount. Ludwig AI confirms its usability in written English.

Expression frequency: Rare

Frequent in

Science

50%

News & Media

25%

Formal & Business

25%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "insufficient data quantity" is a grammatically correct way to describe a lack of adequate data. As confirmed by Ludwig AI, it's most frequently encountered in science, news, and formal business contexts. While the phrase itself is valid, it's important to state the limitations clearly. When using this phrase, acknowledge its impact and suggest alternative analysis or data collection methods. It is essential to avoid overstating conclusions based on "insufficient data quantity".

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

lack of sufficient data

A more direct way to express the same meaning.

data deficiency

A simpler term indicating the absence of enough data.

limited data availability

Focuses on the availability of data, rather than the quantity.

scarce data volume

Emphasizes the small amount of data available.

inconclusive data

Highlights the result of having insufficient data, which leads to uncertain conclusions.

inadequate data set size

Highlights the insufficient size of the data set for analysis.

paucity of data

Uses "paucity" to indicate a scarcity of data.

insufficient statistical evidence

Emphasizes the lack of statistical proof due to limited data.

limited statistical power

Highlights the consequence of having insufficient data, specifically in statistical analysis.

underpowered study

Similar to 'limited statistical power', but refers to a specific study design.

FAQs

How does "insufficient data quantity" affect research outcomes?

When there is "insufficient data quantity", the results of a study might be unreliable and it can be difficult to draw meaningful conclusions. This often leads to underpowered studies and limits the statistical significance of findings.

What are some alternatives to saying "insufficient data quantity"?

You can use alternatives such as "lack of sufficient data", "limited data availability", or "data deficiency" depending on the specific context.

How can I address the issue of "insufficient data quantity" in my analysis?

To mitigate the impact of "insufficient data quantity", you can gather more data, use methods designed for small datasets, combine your data with other relevant sources, or clearly acknowledge the limitations of your analysis.

What is the difference between "insufficient data quantity" and "poor data quality"?

"Insufficient data quantity" refers to having too little data to perform a reliable analysis. "Poor data quality", on the other hand, means the data is inaccurate, incomplete, or inconsistent, regardless of how much data there is. Both can compromise the validity of research.