Intelligence Testing and Assessment

Dear Colleagues,

Intelligence research has a long-standing history and is one of the most important predictors of many life outcomes in a variety of settings (e.g., predictions of health behavior, academic achievement, and occupational performance). The point can be made that ability assessment in general but also the assessment of general mental abilities dates back over 2000 years to when applicants for clerical positions in ancient China were being selected. Since the 19th century, researchers have increasingly developed more sophisticated tests of human intelligence. This development has also been driven by a multi-faceted approach, ranging from general mental ability tests and educational tests to specialized test forms such as inductive reasoning tests. This field of research has also introduced and refined the publicly known concept of IQ scores. Many of these early developments are still used today as they have been proven to be reliable, valid, and useful for research and application alike.

Today, computers are omnipresent in our daily lives. However, their use in intelligence testing is still largely limited to administering virtual tests that were originally created as paper-and-pencil tests, and scores are conventionally computed as the sum of correct responses. This takes advantage of neither the diverse possibilities of computerized test administration nor the rich information available in logged process data. Only recently have researchers explored innovative testing and scoring techniques that may complement established ability tests in the future:

• Administering potentially more complex or ecologically valid test contents, e.g., videos, game-based assessment, interactive and adaptive testing, and simulation paradigms;
• Using logged process data, such as decision sequences, partial solutions, and response time data, or even movement and behavioral assessment.
• Exploring new ways of using these data, including innovative performance modeling (e.g., AI algorithms).

This Special Issue aims to offer a platform for researchers who work on such innovative developments and who seek to exchange their challenging experiences, either promising or disappointing. We encourage the submission of empirical papers testing the potential and limitations of innovative tests, as well as their comparability with traditional instruments. We also encourage the submission of theoretical and review articles summarizing the development and state of the art of novel assessment formats and performance modeling. Potential topics include, but are not limited to, the following:

• The development and validation of new computer-based test formats for the assessment of intelligence (e.g., VR applications, gamified testing);
• The reanalysis of (logged process) data from traditional intelligence test data using novel modeling techniques;
• Comparisons of modern and traditional instruments regarding psychometric properties, including measurement equivalence and validity;
• The prediction of intelligence without explicit intelligence testing (e.g., prediction from non-cognitive data using machine learning models).

Dr. Marco Koch
Prof. Dr. Frank M. Spinath
Prof. Dr. Florian Schmitz
Guest Editors

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 submissions that pass pre-check are 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 double-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 monthly 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 2600 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.

• intelligence
• mental ability
• intelligence test
• computer-based testing
• process data
• response times