【摘 要】
:
Psychometric work in Korea can be categorized into four main areas:behavioral assessment,measurement and testing,behavioral statistics,and research methodology.
【机 构】
:
Sungkyunkwan University,Korea Ewha Womans Univers
论文部分内容阅读
Psychometric work in Korea can be categorized into four main areas:behavioral assessment,measurement and testing,behavioral statistics,and research methodology.
其他文献
Based on Ausubels meaningful learning,Novak and Ausubel developed a concept map,which is a kind of teaching and learning strategy,and a graphical tool organizing and displaying specific domain knowled
Linking and scale alignment are common practices in educational programs.A number of statistical approaches have been applied in linking within educational programs and between different programs.
The study describes the mechanism of how learning autonomy,external motivation,and self-efficacy influence the academic performance of senior high school students,based on longitudinal data on 24,559
In continuous high-stakes computer-based testing programs such as GRE and TOEFL,many items are frequently used across test administrations.
Network analysis is entering fields where network structures are unknown,such as psychology and the educational sciences.A crucial step in the application of network models lies in the assessment of n
Analysis of multivariate longitudinal data allows studying several items across time.Estimation of Generalised Linear Mixed Models(GLMM) using full information maximum likelihood can be difficult in t
Three-way data arrays usually refer to a set of observation units on which a number of quantitative variables are collected during several(time) occasions.The Candecomp/Parafac(Carroll & Chang,1970;Ha
We specify a flexible regression model for multivariate mixed responses,conditional on a set of unobserved,outcome-specific,latent parameters,that represent the effects of unobserved individual-specif
Longitudinal studies are often used to describe the individual evolution over time in terms of a regression model built to analyse the relation between a response variable and a set of covariates.
A latent variable model for the analysis of multivariate mixed longitudinal data is proposed.It extends the factor mixture model discussed by Cagnone & Viroli(2012) to longitudinal data.