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However, there was virtually no correlation between interrater reliability (by concept) and concept score (r = 0.16; unpublished data).
The interaction between the level of key activity implementation and time was not significant for any change concept score, or for overall scores.
Key concept score (KCS) is a composite measure of the number of scientific concepts employed in an explanatory context (Nehm and Reilly, 2007).
The factor loadings for Model 1 (not shown) overall were moderate and in the direction hypothesized; however, loadings were stronger for the scaled concepts (i.e., where a mean of several items could be used to obtain a derived concept score) than in the remaining concepts, which were lists of items that were counted to obtain a derived concept score.
From the item-total statistics, we considered items for further assessment if: (1) they correlated with the total scale (concept) score below 0.3, and (2) they caused a substantial rise or fall in Cronbach's alpha for the concept if removed [ 17, 26].
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The correlation between EvoGrader-generated and human-scored total key concept scores was 0.927.
We first combined the key concept scores and alternative conception scores relating to the written explanation evolutionary trait gain items and the two written explanation trait loss items.
Key concept scores and alternative conception scores were also used to determine teachers' knowledge coherence, which refers to the consistency of explanatory concept use across items (in our case, the ACORNS items).
Given the reliability information in this study, our analyses used the sum of the key concept scores across the four items but analyzed the four alternative conception scores individually.
Key concept scores were tallied separately for each question and collectively for each novice or expert.
Higher non-adaptive "explaining" scores were not significantly associated with greater key concept scores for the ACORNS (r = 0.04, n.s).s
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CEO of Professional Science Editing for Scientists @ prosciediting.com