Special Issue "New Methods and Assessment Approaches in Intelligence Research"
A special issue of Journal of Intelligence (ISSN 2079-3200).
Deadline for manuscript submissions: closed (4 March 2020).
Interests: psychometrics; test development; fluid intelligence; crystallized intelligence; educational achievement
Interests: cognitive development across the lifespan; cognition in daily life; metacognition; micro- and macro-longitudinal research methods
Interests: human cognitive abilities; interpersonal abilities; person perception; biological bases of individual differences; age-related cognitive differentiation and dedifferentiation; construction and evaluation of ability tests; multivariate methods, structural equation modeling
Our understanding of intelligence has been—and still is—significantly influenced by the development and application of new computational and statistical methods, as well as novel testing procedures. In science, methodological developments typically follow new theoretical ideas. In contrast, great breakthroughs in intelligence research followed the reverse order. For instance, the once-novel factor analytic tools preceded and facilitated new theoretical ideas such as the theory of multiple group factors of intelligence. Therefore, the way we assess and analyze intelligent behavior also shapes the way we think about intelligence.
We want to summarize recent and ongoing methodological advances inspiring intelligence research and facilitating thinking about new theoretical perspectives. This Special Issue will include contributions that:
- take advantage of auxiliary data usually assessed in technology-based assessment (e.g., reaction times, GPS data) or take a mobile sensing approach to enriching traditional intelligence assessment;
- study change or development in (intensive) longitudinal data with time series analysis, refined factor analytic methods, continuous time modeling, dynamic structural equation models, or other advanced methods of longitudinal data modeling;
- examine the structure of and change in cognitive abilities with network analysis and similar recently popularized tools; and
- use supervised and unsupervised machine learning methods to analyze so-called Big Data in the field of intelligence research.
We invite original research articles and tutorials that use and explain the aforementioned and other innovative methods to familiarize readers with new ways to study intelligence. To this end, we appreciate reusable and commented syntax provided as online material. We especially welcome contributions from other disciplines, such as computer science and statistics. For your convenience, we have also compiled a list of free accessible intelligence data sets: https://goo.gl/PGFtv3.
Prof. Dr. Ulrich Schroeders
Prof. Dr. Gizem Hülür
Prof. Dr. Andrea Hildebrandt
Prof. Dr. Philipp Doebler
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Intelligence is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- technology-based assessment
- Big Data