Sentence examples for rubric concept from inspiring English sources

A chi-square test was used to determine whether the likelihood of a student's response belonging to each TA category or rubric concept was independent of the version he or she received.

We chose logistic regression, because it will predict the outcome of a binary response variable, that is, whether the response is in or out of a TA category or PS rubric concept, based on multiple predictor variables.

Two other categories with poor agreement between homework and interview, energy and growth, are not fundamental to the scoring for any single PS rubric concept; therefore they are not well aligned to any of the eight PS rubric concepts.

Logistic regression analysis was run using the JMP nominal logistic model script, loading species, order of prompts, and the cross between species and order of prompts as construct model effects, and whether the observation was in the TA category or PS rubric concept as the response variable.

We used Mann-Whitney U-tests to compare the distribution of responses across TA categories and PS rubric concepts.

The results showed that the distribution of responses were significantly different for only one TA category, seed dispersal, and for none of the PS rubric concepts.

The dependent variables were the question surface features (species and order of prompts), while the independent variables were the 25 TA categories and the eight PS rubric concepts.

For those TA categories and PS rubric concepts that had expected values less than five, we used the Fisher's exact test rather than the chi-square test.

Therefore, we used Fisher's exact test rather than the chi-square tests for those TA categories and PS rubric concepts.

The results of the logistic regression indicated there were no interaction effects between the ­predictor variables for any of the PS rubric concepts or TA categories.

We also found that the two PS rubric concepts that did not have greater than 75% agreement (water as source and nutrients from the soil) were aligned with the disagreements we found using TA categories.