实验设计体系初探

根据对常见实验设计的系统回顾,本文指出名目繁多和缺乏系统性是现有实验设计在名称上存在的问题,据此本文进一步提出了实验设计体系的概念.接着通过对实验设计本质属性的深入讨论,本文认为,基本的实验没计可分为两类,两类基本的实验设计构成了实验设计体系的基础.     

J. Wentzel van Huyssteen: Refiguring Rationality in the Postmodern Age

In his three books J. Wentzel van Huyssteen develops a complex and helpful notion of rationality, avoiding the extremes of foundationalism and postmodern relativism and deconstruction. Drawing from several postmodern philosophers of science and evolutionary epistemologists who seek to devise a usable notion of rationality, he weaves together a view that allows for a genuine duet betweenscience and theology. In the process he challenges much contemporary nonfoundationalist theology as well as the philosophical naïveté of some cosmologists and sociobiologists.     

The Argument from Design: What Is at Stake Theologically?

This article offers a brief overview of the argument for God's existence grounded in the evidence of design. It gives particular attention to the way the argument has evolved over time and in relation to changing scientific perspectives. The argument from de-sign has in fact been formulated and reformulated in response to the discoveries and challenges it has encountered from the field of science. The conclusion of the article explores the theological importance of this argument—its extent and its limits.     

Optimal designs for the generalized partial credit model

Analysing ordinal data is becoming increasingly important in psychology, especially in the context of item response theory. The generalized partial credit model (GPCM) is probably the most widely used ordinal model and has found application in many large-scale educational assessment studies such as PISA. In the present paper, optimal test designs are investigated for estimating persons’ abilities with the GPCM for calibrated tests when item parameters are known from previous studies. We find that local optimality may be achieved by assigning non-zero probability only to the first and last categories independently of a person's ability. That is, when using such a design, the GPCM reduces to the dichotomous two-parameter logistic (2PL) model. Since locally optimal designs require the true ability to be known, we consider alternative Bayesian design criteria using weight distributions over the ability parameter space. For symmetric weight distributions, we derive necessary conditions for the optimal one-point design of two response categories to be Bayes optimal. Furthermore, we discuss examples of common symmetric weight distributions and investigate under what circumstances the necessary conditions are also sufficient. Since the 2PL model is a special case of the GPCM, all of these results hold for the 2PL model as well.     

Struggling to be liked: The prospective effect of trait self‐control on social desirability and the moderating role of agreeableness

Drawing from the literature on the interpersonal functions of self‐control, we examined longitudinal associations between trait self‐control and social desirability, using a survey of the general population in the Netherlands. Trait self‐control at baseline was positively associated with social desirability at a follow‐up, even when controlling for prior levels of social desirability. That is, high self‐control contributed to individuals' tendency to give socially desirable responses in self‐reports. This effect was moderated by individual differences in agreeableness. Highly agreeable individuals were more likely to “use” their self‐regulatory resources to respond in a socially desirable manner, compared to less agreeable individuals, suggesting that individuals might use self‐regulatory resources in a way consistent with the motivational bases of their personality.     

Randomization procedures in single‐case intervention research contexts: (Some of) “the rest of the story”

Following up on articles recently published in this journal, the present contribution tells (some of) “the rest of the story” about the value of randomization in single‐case intervention research investigations. Invoking principles of internal, statistical‐conclusion, and external validity, we begin by emphasizing the critical distinction between design randomization and analysis randomization, along with the necessary correspondence between the two. Four different types of single‐case design‐and‐analysis randomization are then discussed. The persistent negative influence of serially dependent single‐case outcome observations is highlighted, accompanied by examples of inappropriate applications of parametric and nonparametric tests that have appeared in the literature. We conclude by presenting valid applications of single‐case randomization procedures in various single‐case intervention contexts, with specific reference to a freely available Excel‐based software package that can be accessed to incorporate the present randomization schemes into a wide variety of single‐case intervention designs and analyses.     

On the current status of the evolutionary theory of behavior dynamics

The evolutionary theory of behavior dynamics is a complexity theory that instantiates the Darwinian principles of selection, reproduction, and mutation in a genetic algorithm. The algorithm is used to animate artificial organisms that behave continuously in time and can be placed in any experimental environment. The present paper is an update on the status of the theory. It includes a summary of the evidence supporting the theory, a list of the theory's untested predictions, and a discussion of how the algorithmic operations of the theory may correspond to material reality. Based on the evidence reviewed here, the evolutionary theory appears to be a strong candidate for a comprehensive theory of adaptive behavior.     

Education for the future: The emerging paradigm of thrivable education

A new education paradigm is emerging to address the need to educate a planetary citizenry under conditions relevant to the living context of our planet. Key to this new paradigm is the emphasis on lifelong learning and empathy-oriented education—both critical ingredients to the transformative role of education for individual and collective thrivability. This article explores the parameters of this role and the indicators that point to its emerging presence in a variety of education contexts, both formal and informal as well as virtual and face-to-face.     

IN DEFENSE OF PUBLICS: PROJECTION,BIAS, AND CULTURAL NARRATIVES IN SCIENCE AND RELIGION DEBATES

John H. Evans's recent book Morals Not Knowledge is a timely argument to recognize broader social and cultural factors that might impact what U.S. religious publics think about the relationship between science and religion and their attitudes toward science and/or religion. While Evans's focus is primarily on what can be classed as moral issues, this response argues that there are other factors that sit within neither the older epistemic conflict model approach nor a moral conflict model approach that also merit further investigation. There is a significant need for further research that examines the social, psychological, (geo)political, and broader cultural factors shaping people's social identities in relation to science and religion debates. When undertaking such research, we need to be wary of creating a binary between scholarly and public space discourse. Social scientific research in this field should be led by public perceptions, attitudes, and views, not by concepts or frameworks that we project onto them.     

Pushing Archetypal Representational Systems Further

We revived Jung’s Archetypes to characterize what we see as an emerging confluence of evolutionary, embodied, and ecological responses to traditional cognitive models of mental representation. We propose that all humans possess archetypal representational systems that are (a) computationally grounded in perception and action, (b) shaped by learning and culture, and (c) biologically prepared by our ancestral past. Because these functionally modular systems arose in tandem with—and in response to—our increasingly complex social world, one implication is that even the most abstract issues studied in cognitive science may be, at least in part, scaffolded on more ancient social and emotional calculi.