Strategies in the Information Search Process: Interaction Among Task Structure,Knowledge, and Source

The authors explored the information search strategies of 145 individuals in the predecisional stage. Decision-making participants selected pieces of information from a list including relevant and irrelevant data. The authors investigated the influence of the individual's knowledge and information source. In Experiment 1, the authors experimentally manipulated the information source reliability. The results revealed that participants tended to use a sequential strategy when the authors presented information as supplied by a reliable source. In Experiment 2, the authors analyzed the interaction between information source and the individuals' knowledge. When participants believed the source to be reliable, even knowledgeable participants adopted a strategy as sequential as that chosen by naive individuals. In Experiment 3, a mediational model corroborated the hypothesis that the search strategy affects the final judgment. The results were consistent with the constructivist framework, which emphasizes the role of individual, task, and context in the decision-making process.     

Transfer of Work Decrement in Motor Learning

Two experiments tested the hypothesis that the decremental effects of massed practice are due to the development of a negative drive (Hull’s I_r). The results indicated that the decremental effects of massed practice on either the pursuit rotor or the two-hand coordinator do not transfer to depress performance or reminiscence on the other task. The results did not support Hull’s drive interpretation but were explained by theories attributing decrement to a decreased level of arousal.     

A Test of Order-Constrained Hypotheses for Circular Data With Applications to Human Movement Science

Researchers studying the movements of the human body often encounter data measured in angles (e.g., angular displacements of joints). The evaluation of these circular data requires special statistical methods. The authors introduce a new test for the analysis of order-constrained hypotheses for circular data. Through this test, researchers can evaluate their expectations regarding the outcome of an experiment directly by representing their ideas in the form of a hypothesis containing inequality constraints. The resulting data analysis is generally more powerful than one using standard null hypothesis testing. Two examples of circular data from human movement science are presented to illustrate the use of the test. Results from a simulation study show that the test performs well.     

Item grouping and item randomization in personality measurement

This paper describes a study examining the impact of item order in personality measurement on reliability, measurement equivalence and scale-level correlations. A large sample of university students completed one of three forms of the International Personality Item Pool version of the Big Five personality inventory: items sorted at random, items sorted by factor, and items cycled through factors. Results showed that the underlying measurement model and the internal consistency of the IPIP-Big Five scale was unaffected by differences in item order. Also, most of the scale-level correlations among factors were not significantly different across forms. Implications for the administration of tests and interpretation of test scores are discussed, and future research directions are offered.     

The structure of “communities” and communications in the new millennium

The three lineages of information,—the genetic, the cultural and artifactual—will increasingly merge their constituent information contents through advances in biotechnology and information technology. This will redefine what constitutes “social” and what constitutes “community.” A community's members communicate with their “significant others” and change their internal information states (and their internal and external behaviors). Under conditions of merging, information exchanges occur across all the three lineages. In this sense, the concept of significant other,—that is, a communicating entity—, is now spread from human communities to encompass also the biological and the artifactual. A seamless merging between the three realms now occurs affecting their respective internal information stores. The resulting image of interactions that now arises is of multiple oceans of communities, operating at different levels, the genetic, the cultural and the artifactual. There are exchanges across the different levels, up and down and sideways, as information is translated from one realm to the other. These dynamics result in changes in the evolutionary characteristics of each lineage and sub‐lineage, including the internal perceptions from within a lineage, namely in the language of evolutionary epistemology, its “meanings” and “hypotheses” on the world. A future sociology must necessarily take into account these factors and incorporate the dynamics of all three realms.     

The natural history of information processors

By spanning the traditional scientific theories in the search for an epistemological home for information it is found that Physics (together with some inputs from Automata Theory) provides the criteria to identify the universals that characterize information processors. It is well known, however, that Physics and Mathematics alone are insufficient to answer some fundamental questions that arise in further speculations on the subject of information. It seems that Biology, in the realm of Evolution Theory and in terms of Natural Selection, is at present the only place able to offer the objective context required to properly characterize information as an object of scientific inquiry.

In this communication we intend to show, by establishing a working equivalence between the epistemological questions that should characterize a theory of information and those questions that characterize the science of Biology, how a science of information can be more objectively characterized. It is only by referring to selective pressures that we can solve the otherwise unanswerable philosophical question of whether it is possible to know if two players of a game are, in fact, playing the same game (the semantic question). It is also shown that it is possible, by using conventional criteria, to establish a phylogenesis of information processors from where we conclude that every information processor now existing in the universe (even computers and robots) has an ancestor that has once been a living being.

It is here suggested, however, that Biology is only a provisory epistemological ground for laying the foundations of an information science. A more inclusive theory should be founded on a generalization of the Theory of Evolution where mutation and natural selection should be described, not in terms of the characteristic media and mechanisms of biological systems, but of the identified universals of information processors.     

On the archetypes in information systems development: An exploration

In this paper I examine possible archetypes that embody the role that systems analyst play in different models of systems development and briefly review attendant epistemological and ontological assumptions.     

All of The Myriad Worlds: Life in the Akashic Plenum

This article explores some experiential implications of Laszlo's Akashic Field hypothesis as well as similar information-rich field models such as those suggested by Bohm and Sheldrake. It examines the implications of such models for both ordinary and anomalous human experience, and proposes the idea that these models allow for the possibility of alternative experiential worlds as real as ordinary “material” reality. Such alternative realities are posited by many, if not all, major mythic and religious systems, and are said to be directly experienced in certain contemplative and shamanic traditions as well as during postmortem and near-death experiences. We note that information-rich holographic fields may be able to store concentrated non-overlapping quantities of information that can be selectively activated by distinct eliciting stimuli. Individual human consciousness itself might constitute just such a stimulus, thus accounting for the individual and cultural variations on commonly shared motifs in shamanic, near death, and other experiences of alternative realities.     

Emotional reactivity,self-control and children's hostile attributions over middle childhood

Hostile attribution bias, a child's tendency to interpret ambiguous social information as threatening or hostile, has been discussed as an important point in which social, emotional and cognitive information intersect. This study explores the natural changes that occur in children's hostile attributions across three grades during middle childhood and examines how emotional reactivity and self-control at third, fourth and fifth grade independently and interactively relate to these trajectories. Participants included 919 children whose mothers reported on their emotional reactivity, whose teachers reported on their self-control and who completed an attribution bias interview, all at grades 3, 4 and 5. Results revealed that among children with a greater tendency to make hostile attributions at third grade, lower self-control at third grade was associated with greater initial hostile attribution bias and less decline in biases over time. Additionally, greater emotional reactivity at fourth grade was associated with declines in these children's hostile attributions, but only when self-control was also higher at fourth grade.     

Methods for second order meta-analysis and illustrative applications

This paper presents methods for second order meta-analysis along with several illustrative applications. A second order meta-analysis is a meta-analysis of a number of statistically independent and methodologically comparable first order meta-analyses examining ostensibly the same relationship in different contexts. First order meta-analysis greatly reduces sampling error variance but does not eliminate it. The residual sampling error is called second order sampling error. The purpose of a second order meta-analysis is to estimate the proportion of the variance in mean meta-analytic effect sizes across multiple first order meta-analyses attributable to second order sampling error and to use this information to improve accuracy of estimation for each first order meta-analytic estimate. We present equations and methods based on the random effects model for second order meta-analysis for three situations and three empirical applications of second order meta-analysis to illustrate the potential value of these methods to the pursuit of cumulative knowledge.