English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Latent class analysis (LCA) is used to analyse data about performance of students. The original performance variables in the data set are course grade and approval status. However, those variables were not used directly, instead four new variables were calculated from those previous two, variables which are much more informative about the student performance. Coupled with another variable, say affirmative action, the results give light to an understanding about the performance of the divided by affirmative action, yes or no. Besides of showing the results it is also shown how the changing of the original variables by some suitable transformation of the original ones gives more reliable results. The main result is that affirmative action students have a lower performance than those coming from private schools. The paper also analyses the subjects grades using latent budget analysis (LBA), and it is found that the variables cited above have a real effect in characterizing the subjects. It is also shown that those results can be used in a process of evaluation on how the subject is being taught.

THE PERFORMANCE OF AFFIRMATIVE ACTION STUDENTS AND ANALYSIS OF SUBJECTS GRADES USING LATENT CLASS AND LATENT BUDGET MODELS