strong measurements

USAGE SUMMARY

The phrase "strong measurements" is correct and usable in written English.
It can be used in contexts where you are discussing data collection, analysis, or evaluation that is robust and reliable. Example: "In our study, we relied on strong measurements to ensure the accuracy of our results."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

Such H-values under the one-factor solution suggest that the two items provide reliable information about the general depression dimension underlying all items, but also that the two items are strong measurements of a specific aspect of depression.

BMC Psychiatry

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

The PRUNE is a brief, open-access, patient-reported outcome measure for patients with ulnar nerve compression that demonstrates strong measurement properties.

BMC Musculoskeletal Disorders

From a psychometrical point of view, strong measurement invariance is sufficient to ensure that the same construct is measured in all groups and to compare the means of the latent factor across countries (Widaman and Reise 1997).

Large-scale Assessments in Education

Both weak and strong measurement invariance was met with no significant change in model fit.

Evolution: Education and Outreach

Thus, the USEI showed strong measurement invariance in two independent samples of university students.

Psicologia: Reflexão e Crítica

Further analyses support the scale's configural, metric (weak) and partial scalar (strong) measurement invariance across 21 countries.

Large-scale Assessments in Education

We tested measurement equivalence and found partially strong measurement invariance in a subset of the rating categories suggested in the test's manual.

Thinking Skills and Creativity

This scale has been found to be invariant (i.e., showing full weak and partial strong measurement invariance) across 21 countries.

Large-scale Assessments in Education

Strong measurement invariance was assumed when the Δχ2 for the factor weights, mean intercepts and factor covariances was not statistically significant (p > .05).05

Psicologia: Reflexão e Crítica

Evidence for strong measurement and structural invariance for this 3-factor model was demonstrated in two independent samples of Portuguese university students.

Psicologia: Reflexão e Crítica

Again, standards for both weak and strong measurement invariance were met suggesting that the short form is a suitable representation of the long form.

Evolution: Education and Outreach

Expert writing Tips

Best practice

When using the phrase "strong measurements", ensure that you can substantiate the strength through documented methodologies or statistical validations.

Common error

Avoid using "strong measurements" without providing evidence of validity and reliability. Overstating the strength of measurements can undermine the credibility of your analysis.

Linguistic Context

The phrase "strong measurements" functions as an adjective-noun combination, where "strong" modifies "measurements" to emphasize their reliability and validity. Ludwig AI validates its correct usage in describing robust data collection and analysis methods.

Expression frequency: Rare

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "strong measurements" is a grammatically correct term mainly found in scientific contexts. According to Ludwig AI, it's used to emphasize the reliability and validity of data. While "strong measurements" isn't very common, it's appropriate in formal and scientific writing where accuracy is paramount. Alternatives like "robust assessments" or "reliable metrics" can be used for similar emphasis. Always ensure that the strength of your measurements can be substantiated to maintain credibility.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

robust assessments

Focuses on the robustness and reliability of the assessment process.

reliable metrics

Highlights the dependability and consistency of the measurement tools.

accurate readings

Emphasizes the precision and correctness of the obtained data.

precise evaluations

Highlights the accuracy and detail-oriented nature of the evaluation.

valid indicators

Indicates that the measurements accurately reflect the intended concept.

consistent observations

Highlights the reliability and repeatability of the data collection.

rigorous analyses

Emphasizes the thoroughness and methodological soundness of the analysis.

sound methodologies

Highlights the solid and dependable nature of the measurement techniques used.

dependable data

Focuses on the reliability and trustworthiness of the data collected.

credible statistics

Emphasizes the believability and trustworthiness of the statistical results.

FAQs

How can I ensure that I have "strong measurements" in my research?

To ensure "strong measurements", prioritize rigorous methodologies, validate your data collection instruments, and conduct thorough statistical analyses to confirm reliability and validity.

What are some alternatives to "strong measurements"?

You can use alternatives like "robust assessments", "reliable metrics", or "accurate readings" depending on the context.

What does it mean for a measurement to be considered "strong"?

A "strong" measurement typically indicates high reliability, validity, and precision. It suggests that the measurement accurately and consistently captures the intended construct.

In what contexts is it most appropriate to use the phrase "strong measurements"?

The phrase "strong measurements" is most appropriate in scientific, technical, and research contexts where emphasizing the robustness and reliability of data collection is crucial.