statistical construct

USAGE SUMMARY

The term "statistical construct" is correct and usable in written English.
You can use it to refer to a set of rules or a framework for collecting and analyzing data in order to generate a statistical result. For example, "The school used a statistical construct to measure the effectiveness of their teacher-initiated educational programs."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

12 human-written examples

The lives it saves are a statistical construct.

The New York Times

Without deep popular roots, the argument that family income is crucial to children's lives has not proved to be resilient in the face of those who caricature relative poverty as a statistical construct.

The Guardian - Opinion

Using a statistical construct he calls Fishtown — inspired by an actual white, blue-collar neighborhood of the same name in Philadelphia — Murray sorts through demographic data to present a startling picture.

The New York Times - Books

Murray uses a statistical construct he calls Fishtown (inspired by an actual blue-collar neighborhood of the same name in Philadelphia) to paint a startling picture: the white working class, he argues, is no longer part of a virtuous silent majority and has become alienated from the "founding virtues" of civic life.

The New York Times - Books

"They are to some extent based on health premises as understood by Garrow and Webster in 1985 when the world looked rather different, but also they are a statistical construct," says Prof Cole.

BBC

Rather, record linkage results in a statistical construct created for the purposes of planning and research.

BMC Medical Research Methodology

Human-verified similar examples from authoritative sources

Similar Expressions

48 human-written examples

Customers, after all, are not just statistical constructs that can be conveniently wrapped up and boxed.

Independent

However, these typical trajectories may not be clinically relevant; they are only statistical constructs that achieve a close modeling of the data.

BMC Medical Research Methodology

But for models built out of sets of mathematical equations and statistical constructs, as is increasingly the case in systems biology, the answers are by no means obvious.

BMC Biology

The statistical analysis (construct validity, reliability) of SC test in Urology will be submitted to BMC Medical Education in the near future.

BMC Medical Informatics and Decision Making

Turbulence is approached by using a k ε statistical model constructed from the Favre averaging method.

International Journal of Thermal Sciences

Expert writing Tips

Best practice

When using the term "statistical construct", clearly define the parameters and methods used to create it. This ensures transparency and allows for replication or validation by others.

Common error

Avoid using "statistical construct" as a catch-all phrase for any statistical analysis. Be specific about the type of construct (e.g., model, variable, index) and its purpose within the analysis.

Linguistic Context

The phrase "statistical construct" functions as a noun phrase, typically serving as the subject or object of a sentence. It refers to a conceptual tool or framework used in statistical analysis, as demonstrated in Ludwig's examples.

Expression frequency: Uncommon

Frequent in

Science

70%

News & Media

30%

Formal & Business

0%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "statistical construct" refers to a framework or tool used in statistical analysis. As Ludwig AI confirms, it's grammatically correct and used in both scientific and news contexts. While not extremely frequent, it's essential to define the parameters and methods used when employing a "statistical construct" to maintain transparency and validity. Common errors include overgeneralizing the term; thus, specificity is key. Related terms include "statistical model" and "statistical variable", each with its own nuance. Ludwig examples underscore the importance of precision and clarity when using this term in academic and professional settings.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

statistical model

More general term; refers to a mathematical representation of a real-world process.

statistical variable

Refers to a specific item of data that can vary and is used in statistical analysis.

statistical parameter

Specific type of statistical construct which describes a population.

mathematical construct

Broader term; includes constructs beyond statistics, focusing on mathematical representation.

theoretical framework

Emphasizes the theoretical basis of the construct within a specific field.

data model

Focuses on the organization and structure of data within a system.

conceptual model

Highlights the conceptual nature of the construct, emphasizing understanding over precise quantification.

analytical tool

Focuses on the function of the construct as a means of analysis.

research instrument

Highlights its use in research methodologies for gathering and interpreting data.

composite variable

Focuses on constructs combining multiple variables.

FAQs

How is a "statistical construct" used in research?

In research, a "statistical construct" serves as a framework for organizing and analyzing data. It helps researchers draw meaningful conclusions and test hypotheses. Examples include regression models, confidence intervals, and hypothesis tests.

What distinguishes a "statistical construct" from a statistical model?

While related, a "statistical construct" is a broader term encompassing various analytical tools, while a "statistical model" is a specific type of construct representing relationships between variables through mathematical equations.

Are there specific fields that rely heavily on "statistical constructs"?

Yes, fields like epidemiology, econometrics, and biostatistics heavily rely on "statistical constructs" to analyze complex datasets and make inferences about populations or systems.

How do you ensure the validity of a "statistical construct"?

Ensuring validity involves assessing its internal consistency, "construct validity", and predictive power. It's also important to examine the assumptions underlying the construct and whether they hold true in the context of the data.