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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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a one standard deviation change

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "a one standard deviation change" is correct and usable in written English.
It can be used in statistical contexts to describe a change that is equal to one standard deviation from the mean of a dataset. Example: "In our analysis, we observed that a one standard deviation change in temperature resulted in a significant impact on crop yield."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

18 human-written examples

Linear regression models were used to estimate the effect of a one standard deviation change in 2D : 4D measures on age at menopause and age at menarche, adjusted for country of birth.

Theses path coefficients measure the effect of a one standard deviation change in each original predictor variable on the response variable.

It is worth noting that a one standard deviation change in the income tax rate is a large change (almost 7 percentage points).

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.

A one standard deviation change in the distribution of family innovations is associated with an almost 102-h change in TV watched on school days over the course of the school year.

In other words, a one standard deviation change in the distribution of family innovations is associated with a 0.17 (0.19) standard deviation change in a student's math (reading) achievement.

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Human-verified similar examples from authoritative sources

Similar Expressions

42 human-written examples

As in Table 2, the results in Table 5 reflect well-known attenuation bias in assessing the impact of cognitive ability on the outcome of interest, as is seen by comparing the estimated effects in columns (b) with columns (c) of a one standard deviation changes in the skills measure on college enrollment.

In terms of marginal effects, in Model 12 a one standard-deviation change in the perceived severity of overclaiming is predicted to lead to about a 6percentnt reduction in the probability of voting for the incumbent.

In bivariate and multivariable analyses, we standardized the score so that the regression coefficients represent change in outcome with a one-standard deviation change in the educational aspiration score.

This study reported a significant deficit for skin cancer overall, but for exposure to soluble MWFs a RR estimate of 1.48 (95% CI=1.17 1.53) for each one standard deviation change in cumulative exposure (30 mg m−3 years) was found.

The semi-standardized coefficients were calculated as the change in odds for one standard deviation change in the community variable.

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Expert writing Tips

Best practice

When reporting statistical results, clearly state the units of measurement alongside "a one standard deviation change" to provide context and improve interpretability. For example, "a one standard deviation change (5 points) in test scores".

Common error

Avoid assuming that "a one standard deviation change" is always practically significant. While statistically notable, its real-world impact depends on the context and the magnitude of the standard deviation relative to the scale of measurement. Consider effect sizes and domain expertise to evaluate the relevance.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

84%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "a one standard deviation change" functions as a statistical descriptor. As Ludwig AI indicates, it's used to quantify the magnitude of difference or variation in a dataset. It is frequently employed within regression analysis and other statistical contexts.

Expression frequency: Common

Frequent in

Science

95%

Academia

3%

News & Media

2%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "a one standard deviation change" is a statistical term used to express the magnitude of variation or difference within a dataset. Predominantly employed in formal and scientific contexts, it serves to standardize measures, enabling comparison across variables and studies. Ludwig AI confirms the grammatical correctness and usability of the phrase, showing its frequent appearance in academic publications. When using this phrase, remember to provide clear context, and avoid misinterpreting its practical significance based solely on statistical notability.

FAQs

How do I interpret "a one standard deviation change" in regression analysis?

In regression analysis, "a one standard deviation change" in a predictor variable refers to the change in the outcome variable associated with a one standard deviation increase or decrease in the predictor, while holding other variables constant. It helps compare the relative impact of different predictors measured on different scales.

What does "a one standard deviation change" mean in terms of effect size?

"A one standard deviation change" can be used to express effect size, indicating the magnitude of the difference between groups or the impact of a variable. It provides a standardized measure that is comparable across different studies and scales.

What are some alternative ways to say "a one standard deviation change"?

You can use alternatives like "a change of one standard deviation", "a shift of one standard deviation", or "a single standard deviation variation" depending on the specific context.

How is "a one standard deviation change" useful in comparing different variables?

Using "a one standard deviation change" allows for direct comparison of the effects of variables measured in different units. Standardizing the variables enables assessment of their relative importance and impact on an outcome, regardless of their original scales.

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Most frequent sentences: