Cognitive Psychometrics: Recent Contributions in Honor of William H. Batchelder (1940-2018)
摘要截稿: 2019-03-15
全文截稿: 2019-06-15
影响因子: 2.635
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 心理学 - 2区
• 小类 : 数学跨学科应用 - 2区
• 小类 : 心理学:数学 - 1区
• 小类 : 社会科学:数理方法 - 2区
Overview
William H. Batchelder (1940-2018) was one of the leading scholars in mathematical psychology since the early 1970s. In addition to his professional services as editor of theJournal Mathematical Psychology, president of theSociety for Mathematical Psychology, elected member of theSociety for Experimental Psychologistsand co-editor of seminal books like the recently publishedNew Handbook of Mathematical Psychology, he influenced and enriched the field by pioneering contributions to the mathematical social sciences. The development and continuous refinement ofMultinomial Processing Tree models, a highly influential model class in cognitive psychology, andCultural Consensus Theory, a theory of prime importance in anthropology, are just two particularly prominent examples of Bill Batchelder’s outstanding impact on the social and behavioral sciences. His creativity becomes even more obvious when looking at the diversity of his research fields, including topics not only from the cognitive sciences but also from other parts of psychology, sociology, and anthropology. One reoccurring topic in Bill Batchelder’s research program was the aim to bridge the gap between traditional mathematical psychology and psychometrics, that is, between substantively motivated formal theories of cognitive processes on the one hand and the representation and measurement of individual differences in such processes on the other hand. He coined the termCognitive Psychometricsto indicate a school that addresses both, thus overcoming the unfortunate segregation between mathematical psychology and psychometrics.
For this special issue, we invite innovative contributions inspired by the various aspects of William H. Batchelder’s scientific oeuvre on Cognitive Psychometrics, including, but not limited to, Multinomial Processing Tree (MPT) modeling, Cultural Consensus Theory (CCT), Markov modeling, hierarchical modeling, and psychological assessment. In addition to theoretical, statistical or methodological contributions, we also welcome sophisticated empirical applications of Cognitive Psychometrics to substantive research questions in the cognitive and social sciences.