(1998). Human cognitive abilities: A survey of factor analytic studies. Gifted and Talented International: Vol. 13, No. 2, pp. 97-98.

Human cognitive abilities: A survey of factor analytic studies

This paper addresses the scope for more integrated general analysis of diversity in science, technology and society. It proposes a framework recognizing three necessary but individually insufficient properties of diversity. Based on 10 quality criteria, it suggests a general quantitative non-parametric diversity heuristic. This allows the systematic exploration of diversity under different perspectives, including divergent conceptions of relevant attributes and contrasting weightings on different diversity properties. It is shown how this heuristic may be used to explore different possible trade-offs between diversity and other aspects of interest, including portfolio interactions. The resulting approach offers a way to be more systematic and transparent in the treatment of scientific and technological diversity in a range of fields, including conservation management, research governance, energy policy and sustainable innovation.

A General Framework for Analysing Diversity in Science, Technology and Society

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Government Printing Office expands database access

This paper is the introduction to the forthcoming Macroeconomic Dynamics Special Issue on Measurement with Theory. The Guest Editors of the special issue are William A. Barnett, W. Erwin Diewert, Shigeru Iwata, and Arnold Zellner. The authors of this detailed introduction and commentary are William A. Barnett, W. Erwin Diewert, and Arnold Zellner. The included papers are part of a larger initiative to promote measurement with theory in economics.

Introduction to Measurement with Theory

Unraveling the “Model Minority” Stereotype: Listening to Asian American Youth. Stacey J. Lee. New York: Teachers College Press, 1996. 143 pp.

Unraveling the “Model Minority” Stereotype: Listening to Asian American Youth.

Understanding Fluency and Originality: A latent variable perspective

Relational reasoning, the ability to discern meaningful patterns within otherwise unconnected information, is regarded as central to human learning and cognition and as particularly critical for those functioning in today’s information age. However, the literature on this foundational ability is currently housed within a range of domains of inquiry, where divergent terminology and methodologies are commonplace. This dispersion has made it difficult to harness the power of existing work to inform future research or guide educational practice. In order to address this lack of consolidation, a systematic review of relational reasoning was undertaken. Specifically, 109 empirical studies dealing with relational reasoning in general or one of four manifestations (i.e., analogy, anomaly, antinomy, and antithesis) were analyzed. Resulting data revealed trends across fields of inquiry, including a degree of conceptual ambiguity, conceptual and operational misalignment, and a lack of ecological validity in certain research paradigms. There were also particular forms and measures of relational reasoning that were more commonly investigated, as well as certain domains that were more often studied. Implications for how future research can examine relational reasoning as a multidimensional construct within educational contexts are also discussed.

Relational Reasoning and Its Manifestations in the Educational Context: a Systematic Review of the Literature

Predicting creative problem solving in engineering design

Relational reasoning is the foundational cognitive ability to discern meaningful patterns within an informational stream, but its reliable and valid measurement remains problematic. In this investigation, the measurement of relational reasoning unfolded in three stages. Stage 1 entailed the establishment of a research-based conceptualization of the construct and the development of a corresponding Test of Relational Reasoning (TORR). Stage 2 focused on the reliability and validity of data from the TORR. Analyses showed the data from the TORR to be reliable indicators of students' ability to reason relationally, and TORR performance predicted students' performance on SAT verbal and math problems. Stage 3 examined the underlying structure of the construct through Confirmatory Factor Analysis (CFA). Of the three CFA models tested, models with dedicated factors for analogical, anomalous, antinomous, and antithetical reasoning were deemed the best fit for the data.

Measuring Relational Reasoning.

Relational reasoning, which has been defined as the ability to discern meaningful patterns within any informational stream, is a foundational cognitive ability associated with education, including in scientific domains. This study entailed the analysis of instructional conversations in which an attending clinical neurologist and his team of residents made diagnostic and therapeutic decisions about actual patients in a hospital setting. The primary goal was to investigate the role of 4 manifestations of relational reasoning (i.e., analogy, anomaly, antinomy, and antithesis) in medical education and diagnostic and therapeutic decision making. Results indicated that the degree to which members of the medical team used the 4 forms of relational reasoning depended on their role and expertise, as well as the time point in the problem-solving process. Specific reasoning patterns that emerged in the discourse and a prototypical model of the reasoning process are described and implications for research and practice are considered.

Denis Dumas

Papers

Understanding Fluency and Originality: A latent variable perspective

Relational Reasoning and Its Manifestations in the Educational Context: a Systematic Review of the Literature

Predicting creative problem solving in engineering design

Measuring Relational Reasoning.

Relational reasoning in medical education: Patterns in discourse and diagnosis.