Psychometrika

杂志介绍

Psychometrika杂志介绍

《Psychometrika》是一本以English为主的未开放获取国际优秀期刊，中文名称心理测量学，本刊主要出版、报道心理学-PSYCHOLOGY, MATHEMATICAL领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE、SSCI收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为2.9，最新CiteScore 指数为4.4。

本刊近期中国学者发表的论文主要有：

• Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis

  Author: Ma, Chenchen; de la Torre, Jimmy; Xu, Gongjun

• A Bayesian Modeling Approach for Generalized Semiparametric Structural Equation Models

  Author: Xin-Yuan Song, Zhao-Hua Lu, Jing-Heng Cai, Edward Hak-Sing Ip

• A Multicomponent Latent Trait Model for Diagnosis

  Author: Susan E. Embretson, Xiangdong Yang

• A Unified Framework for the Comparison of Treatments with Ordinal Responses

  Author: Tong-Yu Lu, Wai-Yin Poon, Siu Hung Cheung

英文介绍

Psychometrika杂志英文介绍

The journal Psychometrika is devoted to the advancement of theory and methodology for behavioral data in psychology, education and the social and behavioral sciences generally. Its coverage is offered in two sections: Theory and Methods (T& M), and Application Reviews and Case Studies (ARCS). T&M articles present original research and reviews on the development of quantitative models, statistical methods, and mathematical techniques for evaluating data from psychology, the social and behavioral sciences and related fields. Application Reviews can be integrative, drawing together disparate methodologies for applications, or comparative and evaluative, discussing advantages and disadvantages of one or more methodologies in applications. Case Studies highlight methodology that deepens understanding of substantive phenomena through more informative data analysis, or more elegant data description.