Titlebook: Quantitative Psychology; 84th Annual Meeting Marie Wiberg,Dylan Molenaar,Jee-Seon Kim Conference proceedings 2020 Springer Nature Switzerl

TOXIC

ureter

扩大

Multiple-Group Propensity Score Inverse Weight Trimming and Its Impact on Covariate Balance and Bia. Results from the simulation study showed that trimming inverse weights increased covariate bias and did not have a substantial impact on parameter recovery statistics of the treatment effect; moreover, data mining methods produced less extreme inverse weights compared to multinomial logistic regression models.

思考

MELD

Meditative

An Extended Item Response Tree Model for Wording Effects in Mixed-Format Scales,nes an IRTree model and a bi-factor model in an IRT framework—to identify how wording effects influence response processes for negatively worded items. Twelve items of an extroversion construct from the Big Five personality inventory were used for demonstration. Results showed that the wording effects were varied on these negatively worded items.

murmur

兵团

Constant CSEM Achieved Through Scale Transformation and Adaptive Testing,re scales that are nonlinearly related to each other, and each achieving the goal of equalizing the CSEMs on its own scale. Procedures for equalizing the CSEMs of a CAT that is not designed to have fixed precision are provided, and implications for transitioning from linear tests with equal CSEMs to CATs are also discussed.

Clinch

acrophobia

Predictive Validity Under Partial Observability,a real data set from the university selection test applied in Chile and compared with the marginal effect of the traditional model used in Chile to evaluate the predictive capacity of the selection test.