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Justyna Jupowicz-Kozak

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item variability

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "item variability" is correct and usable in written English.
It can be used in contexts where you are discussing differences or changes in items, such as in inventory management, product design, or statistical analysis. Example: "The study focused on item variability to understand how different features affected customer satisfaction."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

11 human-written examples

But these experiments were conducted to examine the impact of within-subject (and item) variability, whereas the eyewitness domain is concerned with between-subject variability, which could be more sizeable.

To assess item variability, the item frequency distributions, range, and standard deviations were calculated.

Item variability was assessed by calculating the item frequency distributions, range, and standard deviations.

Table 2 provides information on the number of items, item variability and sample items from each scale of the questionnaire.

To evaluate scaling assumptions underlying scoring of the SF-36 scales, item variability, item-internal consistency and item discriminant validity were assessed.

The first factor explaining item variance in the Core FertiQoL was the Emotional subscale explaining 31.8% (Online) and 37.8% (Clinic) of the item variability.

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Human-verified similar examples from authoritative sources

Similar Expressions

49 human-written examples

Figure 1 details the item-by-item variability in services' responses to the 15 questions.

There is considerable inter-item variability in mean score, indicating a "hierarchy" regarding item difficulty.

Where duplicates were tested, item-to-item variability was often significant.

Sufficient milk contamination levels were generated to match the number of consumed items by running the code repeatedly, to represent the distribution of between-item variability.

The survey was pilot tested in 2003 in 21 hospitals across six states in the U.S. The pilot data from 1,437 respondents was analyzed examining item response variability, reliability, and the exploratory and confirmatory individual-level factor structure of the safety culture dimensions [ 22].

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Expert writing Tips

Best practice

When analyzing data, ensure you quantify "item variability" using appropriate statistical measures like standard deviation or range to provide a clear and objective assessment.

Common error

Avoid attributing differences in responses solely to "item variability" without considering the influence of individual subject characteristics or biases. Always account for both factors in your analysis.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

81%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "item variability" functions as a noun phrase, typically used to describe the degree to which individual items within a set differ from one another. As demonstrated by Ludwig, this phrase is often used in scientific and research contexts to assess the quality and discriminatory power of items in questionnaires or tests.

Expression frequency: Common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, "item variability" is a noun phrase commonly used in scientific and research settings to describe the degree to which individual items within a set differ. Ludwig AI confirms its grammatical correctness and frequent use, particularly in evaluating questionnaires and tests. Alternatives include "item diversity" and "response variability", but the core meaning remains focused on quantifying differences. The phrase is most at home in formal, scientific contexts, where precision and objectivity are valued. When using the term, remember to quantify it with appropriate statistical measures and to account for potential subject biases. By understanding and properly applying the concept of "item variability", researchers and analysts can ensure the reliability and validity of their assessments.

FAQs

How is "item variability" assessed in research?

"Item variability" is often assessed using statistical measures such as frequency distributions, range, standard deviations, and item-internal consistency. These methods help quantify the spread and consistency of responses to individual items.

What does "item variability" indicate in a questionnaire?

In a questionnaire, "item variability" indicates the extent to which responses to individual items differ. High "item variability" suggests that the items are effectively differentiating between respondents, while low "item variability" may indicate that the items are not capturing meaningful differences.

How does "item variability" relate to the reliability of a scale?

"Item variability" is related to the reliability of a scale because items with low variability may not contribute much to the overall measurement and can reduce the scale's ability to discriminate between individuals. Adequate "item variability" is necessary for good reliability. Test-retest reliability of "items with restricted variability" can be assessed using percentage agreement.

What are some alternatives to the term "item variability"?

Alternatives to "item variability" include "item diversity", "item variance", and "response variability", depending on the specific context. These terms emphasize different aspects of the variation among items or responses.

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Most frequent sentences: