The phrase "analysis items" is correct and usable in written English.
It can be used when referring to specific components or elements that are subject to analysis in a particular context, such as research, data evaluation, or project assessments.
Example: "The report includes several analysis items that need to be addressed before final submission."
Alternatives: "analytical components" or "evaluation elements".
To better unravel complex quotidian use at the site my project looks at site interpretive resolution of more standard "heavy-fraction" analysis (items >4mm in size) in relation to "microdebris" analysis (items <4mm in size), focusing on the patterning of microremains diachronically to ask: does the knowledge gained offset the analytical cost of this analysis?
This indicates that the extraction yield and relevant analysis items have obvious surface relationships, and interactions among each experimental factor are not significant.
Vuori [12] reinforced Myers [10] and Donabedian's [11] studies by presenting effectiveness, efficiency, and adequacy as analysis items, and contributed to the list by evaluating quality improvements of scientific-technical competence as properties of quality measurements.
For the attractiveness representation analysis, items rated 4 and 3 were modelled together as high rating events, items rated 1 and 2 as low rating events.
In a subsequent reliability and content analysis items that did not contribute to the reliability of a scale were removed.
All participants were randomly allocated and all studies provided adequate results and analysis (items 10 and 11).
Data were analyzed by factor analysis, item response theory (IRT), sensitivity and specificity procedures.
Both included studies stated clear objectives (item 1) and assessed outcomes according to the aim of the study (item 4) with appropriate statistical analysis (item 12).
Under this procedure for all items under analysis, item scalability coefficients (H i ) are computed.
For the Rasch analysis item fit (infit mean squares ≥ 1.30), dimensionality and item invariance were assessed.
Statistical analyses included exploratory factor analysis, item analysis, and measures of internal consistency, concurrent validity, and test retest reliability.
