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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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a one standard deviation unit

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "a one standard deviation unit" is correct and usable in written English.
It can be used in statistical contexts to describe a measurement that is one standard deviation away from the mean in a data set. Example: "In this study, we found that the average test score increased by a one standard deviation unit, indicating significant improvement among the participants."

✓ Grammatically correct

Epidemiology

BMC Musculoskeletal Disorders

Nature

Arthritis Research and Therapy

BMC Public Health

BMC Ecology

Clinical Epigenetics

Health and Quality of Life Outcomes

BMC Medical Research Methodology

Latin American Economic Review

Harvard University

Huffington Post

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

Thus, the odds ratios are interpreted as the estimated relative risk of assault associated with a one standard deviation unit increase in the exposure.

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

Odds ratios (ORs) with 95% confidence intervals (CI) were calculated per an increment of one standard deviation unit for each continuous explanatory variable.

The first stringent method determined the number of patients whose impaired scores (during placebo) on test measures improved by at least one standard deviation unit and fell within the average range as specified by published norms for those tests.

Science & Research

Nature

The metric used most often for PROMIS scales is the T-score, where the scale's center is set to the mean of a general population, and each 10 points above or below the mean represents one standard deviation unit [ 4, 14, 15].

The odds ratios for continuous variables were calculated for the change in one standard deviation unit (SD).

Regression coefficients therefore express the rate of change in standard deviation units of the independent variable per one standard deviation unit of the dependent variable [ 46].

To allow conversion of measures of association into original units, Table 2 gives the sex-specific standard deviations for each of the measurements at 17 years (a one unit change in z-score for a given variable corresponds to a one standard deviation change in units of the underlying variable).

A change of one in a z-score for a given variable corresponds to a one standard deviation change in units for that variable.

Using our "main effects" model coefficients, we estimate that a one standard deviation increase in OHL (5.3 REALD-30 units) corresponds to a 9% decrease in OHIP-14 severity [PRR (95% CL) = 0.91 (0.98, 0.98)], whereas (using race-specific estimates from Table 3) this decrease is more pronounced (14%) among AA [PRR (95% CL) = 0.86 (0.96, 0.96)].

The standardized path coefficient is the expected change (in standard deviation units of the dependent variable) that would be associated with a one standard deviation shift in the independent variable, when the other variables are held constant.

Standardized coefficients are reported and should be interpreted as changes in standard deviations of the dependent variable upon a one standard deviation change of the continuous regressors or upon a unit change in dichotomous regressors.

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Expert writing Tips

Best practice

When writing for a general audience, consider replacing the phrase with "one standard deviation" for better clarity and conciseness. This eliminates redundancy while maintaining the meaning.

Common error

Avoid assuming that a result that changes by "a one standard deviation unit" is inherently significant in a practical sense. Statistical significance does not always equate to real-world importance; consider the context and magnitude of the effect.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

89%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "a one standard deviation unit" functions as a statistical quantifier. It describes a specific amount of deviation from the mean in a dataset. This usage is supported by Ludwig AI, confirming its validity in statistical context.

Expression frequency: Rare

Frequent in

Science

75%

Academia

15%

News & Media

10%

Less common in

Formal & Business

0%

Encyclopedias

0%

Social Media

0%

Ludwig's WRAP-UP

The phrase "a one standard deviation unit" is a statistically valid term used to quantify the amount of variation from the mean in a dataset. As Ludwig AI indicates, it's grammatically correct and typically used in formal and scientific contexts, particularly in academic research and statistical reporting. While technically sound, the slightly more concise phrase "one standard deviation" is often favored. Therefore, while "a one standard deviation unit" is correct and usable, writers should consider audience and context to determine which term is most effective.

FAQs

How is "a one standard deviation unit" used in statistical analysis?

It's used to quantify the amount of dispersion in a data set. A data point that is "a one standard deviation unit" away from the mean is a measure of how much that point deviates from the average.

What does it mean when data increases by "a one standard deviation unit"?

It means the data has increased by an amount equal to the standard deviation of the data set, representing a notable shift from the average value.

Is it better to say "one standard deviation" or "a one standard deviation unit"?

While both are grammatically correct, "one standard deviation" is generally preferred for its conciseness and common usage. The addition of "unit" is often redundant.

How can I interpret a change of "a one standard deviation unit" in the context of test scores?

Depending on the test's scale, "a one standard deviation unit" could represent a significant shift in performance, with higher scores indicating a better outcome compared to the average test-taker.

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Most frequent sentences: