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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

A method for measuring individualized reliability of several tests onsubjects with heterogenecity is proposed. A regression model is developed basedon three sets of generalized estimating equations (GEE). The first set of GEEmodels the expectation of the responses, the second set of GEE models theresponse's variance, and the third set is proposed to estimate theindividualized coefficient alpha, defined and used to measure individualizedinternal consistency of the responses. We also extend our method to handlemissing data in the covariates. Asymptotic property of the estimators isdiscussed, based on which interval estimation of the coefficient alpha andsignificance detection are derived. Performance of our method is evaluatedthrough simulation study and real data analysis. The real data application isfrom a health literacy study in Hunan province of China.

Modeling Coefficient Alpha for Measurement of Individualized Test Score Internal Consistency