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Each individual item of the two assessment components also demonstrated a high level of construct validity.
We first determined the extent of missing data for each item of the two questionnaires.
The factor loadings of the final PCA and their factorial weights are shown in table 3. Table 3 shows that the factorial weights of each item of the two components are greater than 0.3 and that Cronbach's α coefficient of each component is greater than 0.7, suggesting high internal consistency.
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Analyses were assessed by differences between the scores of all items of the two extreme groups.
Table 1 presents the results of the DIF tests for each item of the three dimensions studied, and, for significant DIF, the maximal differences between item locations.
In order to evaluate whether scores on the eight items of the two assessment tasks were significantly different across schools, interaction analysis between item difficulty and schools was conducted.
All items of the two groups were combined and led to 309 items.
Items with a reversed score were recoded, after which mean scores on the items of the two scales were calculated.
The extreme group analysis showed significant differences between the scores of all items of the two extreme groups (P < 0.001).
Our analysis showed little overlap of items of the two parts of the questionnaires across the identified domains, supporting the presentation of the questionnaire in two parts.
Given that the questionnaire solely consisted of questions directly related to items of the two data sets mentioned above, no piloting of the questionnaire was done.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com