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We investigated the relationships between creative achievement, cognitive ability, temperament, and vocational interests using a large and diverse internet-based sample. Ten creative domains (visual arts, music, creative writing, dance, drama, architecture, humor, scientific discovery, inventions, culinary arts) were positively associated with higher cognitive ability, intellect and extraversion, and lower agreeableness. With regard to cognitive ability, there was no evidence for the threshold effect on achievements. With regard to age, younger individuals endorsed a greater number of low-level achievements and older individuals more high-level achievements across the 10 creative domains. Other characteristics of individual differences (e.g., vocational interests) were more domain-specific for predicting creative achievement. We also introduce a revised method for the assessment and scoring of creative achievements, and discuss suggestions for future research.

The measurement of individual differences in cognitive ability has a long and important history in psychology, but it has been impeded by the proprietary nature of most assessment measures. With the development of validated open-source measures of ability (collected in the International Cognitive Ability Resource, or ICAR, available at ICAR-project.com ), it is now possible for many researchers to assess ability in large surveys or small, lab-based studies without the expenses associated with proprietary measures. We review the history of ability measurement and discuss how the growing set of items included in ICAR allows ability assessments to be more generally available to all researchers.

Abstract. This study introduces a newly developed public-domain multilingual automatic item generator that creates propositional reasoning (PR) items belonging to 15 item families by using various inference rules. Psychometric properties of the resulting written PR test were investigated in three diverse samples in English, simplified Chinese, and German, respectively. Internal consistency was good to excellent across samples. The ICAR16 short form test of cognitive abilities ( Condon & Revelle, 2014 ) was used to evaluate construct validity. Correlations of ICAR16 scores and PR scores were high. Furthermore, items within families appeared to be equivalent, with only minor differential item functioning between the Chinese- and English-speaking samples. Performance on the PR test was shown to be reasonably stable over the course of 1 week. Differences of total scores between test forms (pen and paper vs. computerized administration) were not detected. Findings suggest that the automatically generated PR test is a valuable instrument for the assessment of propositional reasoning ability.

Claude Shannon’s groundbreaking work on information theory (Shannon, 1948a) was published just as the field of psychological testing was reaching its potential. Many of the fundamental underpinnings of the psychological testing theory were proposed in this same era, and the application of these ideas over the ensuing decades has greatly informed our understanding across numerous psychological domains, including individual differences in personality, cognitive abilities, interests, and much more. While the prospect of integrating information theory into psychological assessment was initially received with great enthusiasm, it was quickly and definitively dismissed by Lee Cronbach (1955a), mainly on the grounds that it was incompatible with the practical demands of psychological testing (e.g., limited testing time, relatively small samples). In this chapter, we reconsider Cronbach’s rationale in light of recent technological advancements brought about by the “information age,” and propose that reintroducing information-theoretic approaches to psychological assessment can advance our knowledge of personality, person-perception, and personality assessment. We conclude by providing several examples of research applications that have already invoked an information theory approach to assessment.

Although the measurement of intelligence is important, researchers sometimes avoid using them in their studies due to their history, cost, or burden on the researcher. To encourage the use of cognitive ability items in research, we discuss the development and validation of the International Cognitive Ability Resource (ICAR), a growing set of items from 19 different subdomains. We consider how these items might benefit open science in contrast to more established proprietary measures. A short summary of how these items have been used in outside studies is provided in addition to ways we would love to see the use of public-domain cognitive ability items grow.

Recent findings in psychological research have begun to illuminate cognitive and neural mechanisms of imagination and mental imagery, and have highlighted its essential role for a number of important outcomes, including outcomes relevant for the study of psychopathology and psychotherapy. Scientific study of imagination, however, has been constrained by the virtue of being framed mainly as an ability for mental imagery. Here we propose that imagination is a widespread phenomenon that we all engage in, and which affects a wide range of important outcomes beyond more commonly studied constructs like creativity. Thus, the Four-Factor Imagination Scale (FFIS) focuses on features of the imaginative process, and measures imagination in terms of individual differences in those features, including frequency, complexity, emotional valence, and directedness of imagination. Study 1 consisted of construct elicitation and generation of a large pool of candidate survey items. Study 2 (N = 378) conducted exploratory quantitative analysis on the preliminary pool of candidate items in a larger sample, revealing four distinct factors of the designed items. Study 3 (N = 10,410) confirmed the structure of the preliminary items, and reported internal consistency and unidimensionality, as well as convergent and discriminant validity of the resultant scales. The FFIS confirms that imagination is multi-faceted in nature, and is better approached as a constellation of more narrowly measurable constructs.

article i nfo The ability to locate and orient ourselves with respect to environmental space is known as sense of direction ("SOD"). While there is considerable evidence for the predictive utility of self-report measures of this psycholog- ical construct, relatively little research has investigated the psychometric properties of the self-report scale by which it is most commonly measured - the Santa Barbara Sense of Direction scale (SBSOD, Hegarty et al., 2002) - or the broader personality correlates. The present study evaluated the factor structure of the SBSOD fol- lowing administration to 12,155 individuals and situated it among prominent sources of individual differences, specifically the Big Five personality traits and intelligence. Findings suggest that the SBSOD scale has relatively high general factor saturation, and that a considerable portion of the variance in SBSOD scores is explained by other personality traits, including Conscientiousness (r = 0.33), Intellect (r = 0.27), Emotional Stability (r = 0.26), and Extraversion (r = 0.23). Cognitive ability was less highly correlated with SBSOD scores when mea- sured at the level of general intelligence (r = 0.11) and in terms of mental rotation ability (r = .07). Recommen- dations are given for revision of the SBSOD scale based on item-level analyses.

For all of its versatility and sophistication, the extant toolkit of cognitive ability measures lacks a public-domain method for large-scale, remote data collection. While the lack of copyright protection for such a measure poses a theoretical threat to test validity, the effective magnitude of this threat is unknown and can be offset by the use of modern test-development techniques. To the extent that validity can be maintained, the benefits of a public-domain resource are considerable for researchers, including: cost savings; greater control over test content; and the potential for more nuanced understanding of the correlational structure between constructs. The International Cognitive Ability Resource was developed to evaluate the prospects for such a public-domain measure and the psychometric properties of the first four item types were evaluated based on administrations to both an offline university sample and a large online sample. Concurrent and discriminative validity analyses suggest that the public-domain status of these item types did not compromise their validity despite administration to 97,000 participants. Further development and validation of extant and additional item types are recommended.

These data were collected during the initial evaluation of the International Cognitive Ability Resource (ICAR) project. ICAR is an international collaborative effort to develop open-source public-domain tools for cognitive ability assessment, including tools that can be administered in non-proctored environments (e.g., online administration) and those which are based on automatic item generation algorithms. These data provide initial validation of the first four ICAR item types as reported in Condon & Revelle [1]. The 4 item types contain a total of 60 items: 9 Letter and Number Series items, 11 Matrix Reasoning items, 16 Verbal Reasoning items and 24 Three-dimensional Rotation items. Approximately 97,000 individuals were administered random subsets of these 60 items using the Synthetic Aperture Personality Assessment method between August 18, 2010 and May 20, 2013. The data are available in rdata and csv formats and are accompanied by documentation stored as a text file. Re-use potential includes a wide range of structural and item-level analyses.

Differential psychology has been a central concern to philosophers and psychologists, both applied and theoretical, for the past several millennia. It remains so today. The proper study of individual differences integrates methodology, affective and cognitive science, genetics and biology. It is a field with a long history and an exciting future. We review some of the major questions that have been addressed and make suggestions as to future directions.

Personality is an abstraction used to describe and explain the coherent patterning over time and space of affect, cognition, and desire as they result in behaviour for an individual. This unique patterning or individual signature reflects a complex set of dynamic processes that can be modelled in terms of rates of growth and decay of excitation and inhibition in response to environmental cues. These processes reflect genetically based biological sensitivities that may be modelled by the differential equations of the Dynamics of Action. The important parameters within individuals reflect rates of change; the important parameters between individuals reflect average levels, frequencies and persistence. Going beyond models within and between individuals, it is also necessary to consider how individuals choose their environments. We will consider how analyses of these three levels (within individuals, between individuals, and between groups of individuals) can lead to different descriptions about the structure and processes of personality.

A prominent goal of individual differences research is the development and testing of models which predict important life outcomes. Prior work suggests that the most predictive models for many outcomes integrate multiple dimensions of individual differences and that three of the most informative dimensions are temperament, cognitive abilities and interests. Of these three, large-scale assessment of cognitive abilities has been the most problematic due to methodological constraints. Recent and ongoing development of the public-domain International Cognitive Ability Resource is intended to address these constraints. In this talk, we will describe the procedures being used to develop this resource and summarize progress to date. Then, using online data collected with synthetic aperture personality assessment (”SAPA”) methods (sapa-project.org), we compare the predictive utility of integrated individual difference models against those which use only the independent dimensions (of temperament or interests or ability) in the context of academic, occupational and health outcomes.

People differ. How and why they differ are the fundamental questions for personality psychologists. In this article we address three levels at which people differ: within individuals, between individuals, and between groups of individuals. A dynamic model of personality is considered where traits are seen as rates of change in states in response to environmental cues. Within individuals, motivational and behavioral states show inertial properties and lead to an analysis of rates of change and latencies of behavior. Between individuals, the analysis is one of frequency and duration of choices. When individuals self select into groups reflecting shared interests and abilities, the structure of these group differences reflects the consequences of the self selection. Examples of the dynamic model are given for each level of analysis.