item error

USAGE SUMMARY

The phrase "item error" is correct and usable in written English.
It can be used in contexts related to inventory management, data processing, or software development to indicate a mistake associated with a specific item. Example: "The system flagged an item error during the inventory check, indicating that the quantity listed did not match the actual stock."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

14 human-written examples

In addition, item error variances and error covariances between related items were set to vary freely.

Evolution: Education and Outreach

Finally, model 8 shared the factorial structure of model 7, but within-factor item error terms were correlated.

Psicologia: Reflexão e Crítica

Therefore the item error invariant model was more appropriate.

Health and Quality of Life Outcomes

In the fourth model, in addition to constraining the factor loading slopes and intercepts, the item error variances were constrained across the groups (called item error or strict factorial invariance).

Health and Quality of Life Outcomes

Form, slope, intercept, item error, and covariance invariance were all still supported (see Table 5, revised five-item models).

Health and Quality of Life Outcomes

If this restricted model were supported, it would indicate that both groups not only have the same slopes and intercepts, but also the same item error variances.

Health and Quality of Life Outcomes

Human-verified similar examples from authoritative sources

Similar Expressions

46 human-written examples

For simplicity, item errors are omitted.

Psicologia: Reflexão e Crítica

Consequently, when item errors are minimised, phonological STM can support the acquisition of new phoneme sequences in patients with SD.

Neuropsychologia

Model 6 was the same as model 5, but with three correlations between item errors (1 2, 4 5 and 17 19).

Psicologia: Reflexão e Crítica

Next, we demonstrated normal learning of serial order information for repeated lists of single-digit number words using the Hebb paradigm: these items were well-understood allowing them to be repeated without frequent item errors.

Neuropsychologia

GE showed normal benefits of phonological knowledge in STM (i.e., normal phonotactic frequency and phonological similarity effects) but reduced support from semantic memory (i.e., poor immediate serial recall for semantically degraded words, characterised by frequent item errors).

Neuropsychologia

Expert writing Tips

Best practice

When discussing statistical models, clearly define what constitutes an "item error" within your specific context to avoid ambiguity. Specify whether it refers to variance, bias, or another type of inaccuracy.

Common error

Avoid assuming that "item errors" are uncorrelated without proper justification. Correlated errors can significantly impact the validity of statistical analyses and model fit. Always test this assumption and account for correlations when necessary.

Linguistic Context

The phrase "item error" functions as a noun phrase, typically used to denote a mistake or inconsistency associated with a particular item, often in the context of data analysis, statistical modeling, or inventory management. Ludwig confirms this usage in numerous scientific and academic contexts.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "item error" is a noun phrase that refers to errors associated with individual items, primarily in contexts like data analysis and statistical modeling. As Ludwig AI's analysis confirms, the phrase is grammatically sound and most commonly used in scientific and academic writing. When using this term, ensure you define its specific meaning within your context and consider potential correlations between "item errors". By avoiding assumptions and clearly defining terms, you can improve the rigor and clarity of your analysis.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data entry error

Focuses specifically on errors occurring during data input.

inventory mistake

Specifically relates to errors in inventory management.

product defect

Indicates a flaw or fault in a manufactured item.

coding error

Refers to mistakes made during the coding process.

measurement inaccuracy

Highlights errors in the measurement of items.

test item flaw

Specifically refers to issues with items used in testing or assessment.

response error

Relates to errors in survey or questionnaire responses.

observation error

Indicates errors in the process of observing or recording data.

experimental error

Refers to errors occurring during an experiment.

statistical error

Indicates errors in statistical analysis.

FAQs

How is "item error" used in statistical modeling?

In statistical modeling, "item error" refers to the unexplained variance or residual associated with a specific item or variable. It's often considered when assessing model fit and reliability.

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

Depending on the context, you could use alternatives like "measurement error", "residual variance", or "unexplained variance".

How does correlated item error affect model fit?

Correlated "item errors" can lead to underestimated standard errors and inflated significance levels. Failing to account for correlated errors can result in poor model fit and inaccurate conclusions.

What is "item error" invariance?

"Item error" invariance refers to the assumption that the error variances associated with specific items are equal across different groups or conditions. Testing for invariance is crucial when comparing models across groups.