ERNAN MCMULLIN ON CONTINGENCY,COSMIC PURPOSE,AND THE ATEMPORALITY OF THE CREATOR

This article reviews, and offers supportive reflections on, the main points of Ernan McMullin's provocative 1998 article, “Cosmic Purpose and the Contingency of Human Evolution,’’ reprinted in this issue of Zygon. In it he addresses the important science‐theology issue of how the Creator's purpose and intention to assure the emergence of human beings is consonant with the radical contingency of the evolutionary process. After discussing cosmic and biological evolution and critically summarizing recent solutions to this question by Keith Ward, John Polkinghorne, Arthur Peacocke, Alvin Plantinga, and others, who presuppose in different ways that God is subject to time, McMullin compellingly argues for the traditional position, that God is unconditioned by time, and this enables God to work purposefully through contingency, randomness, and chance just as easily as through law‐like regularity.     

Does habit strength moderate the intention–behaviour relationship in the Theory of Planned Behaviour? The case of fruit consumption

The present study examined if habit strength moderated the influence of intention on fruit consumption in a Dutch adult sample (N?=?521, 46.3% males, mean age?=?34.50, SD?=?10.87), using the theoretical relations of the Theory of Planned Behaviour (TPB). TPB variables and habit strength were assessed at baseline. Fruit consumption was assessed with a validated questionnaire five weeks later. Three groups were created: low habit strength (n?=?180), medium habit strength (n?=?185) and high habit strength (n?=?156). Confirmatory factor analyses and multi-group path analyses were performed using AMOS 4.0. A good fit was obtained for the overall measurement model and the structural models. Multi-group path analyses showed that intention was a significant predictor of fruit consumption in the low habit (β?=?0.36, p?<?0.001) and medium habit group (β?=?0.30, p?<?0.001), but a non-significant predictor in the high habit group (β?=?0.05, p?=?0.596). Implications for information-based and motivation-based interventions are discussed.     

BOOK REVIEWS

No abstract available for this article.     

Changes in Catastrophizing and Depressed Mood During and After Early Cognitive Behaviorally Oriented Interventions for Pain

Catastrophizing and depressed mood are risk factors for poor outcome in treatments for pain and appear to act as mediators for favorable outcome. However, little is known about how catastrophizing and depressed mood co-occur within individuals and how these patterns change during treatment, which is the focus of the current study. The study uses data from a randomized controlled trial about early cognitive behaviorally oriented interventions for patients with nonspecific spinal pain (N = 84). Cluster analyses were used to extract subgroups of individuals with similar scoring patterns on catastrophizing and depressed mood at pretreatment, mid-treatment, posttreatment, and at 6 months' follow-up. To track individual progress, the clusters were linked over time. The analyses revealed four clusters: “low depression and catastrophizing”, “high depression and catastrophizing”, “high depression”, and “high catastrophizing”. There was little individual transition from one scoring pattern to another across time, not at least for those scoring high on both depressed mood and catastrophizing. Moreover, high stability within this cluster was related to low levels of psychological flexibility at baseline. It is concluded that catastrophizing and depressed mood at the start of treatment were likely to remain high despite a cognitive behavioral intervention and that a lack of psychological flexibility may have a role.     

Influence analysis of structural equation models with polytomous variables

The estimation of model parameters in structural equation models with polytomous variables can be handled by several computationally efficient procedures. However, sensitivity or influence analysis of the model is not well studied. We demonstrate that the existing influence analysis methods for contingency tables or for normal theory structural equation models cannot be applied directly to structural equation models with polytomous variables; and we develop appropriate procedures based on the local influence approach of Cook (1986). The proposed procedures are computationally efficient, the necessary bits of the proposed diagnostic measures are readily available following an usual fit of the model. We consider the influence of an individual cell frequency with respect to three cases: when all parameters in an unstructured model are of interest, when the unstructured polychoric correlations are of interest, and when the structural parameters are of interest. We also consider the sensitivity of the parameters estimates. Two examples based on real data are presented for illustration.The work described in this paper was partially supported by a Chinese University of Hong Kong Postdoctoral Fellows Scheme and a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (RGC Ref. No. CUHK4186/98P). We are indebted to P.M. Bentler and M.D. Newcomb for providing the data set, Michael Leung for his assistance, and the Editor and the referees for some very valuable comments.     

The Concept of Miracle

The concept of miracle has often been regarded as irreconcilable with the concept of natural law. But this contradiction applies only to an understanding of a miracle as a break of natural law. Such a violation would destroy the assertion of natural law, because its universal claim does not permit exceptions. However, the idea of miracle need not be conceived in this way, though it has often been done since medieval times. Augustine thought of miracles simply as unusual events that contradict our accustomed views of the course of nature but not nature itself. According to that definition of miracle, no contradiction of natural laws need be assumed. It is sufficient to regard unusual occurrences as "signs" of God's special activity in creation.     

A Latent Variable Framework for Power Estimation Within Intervention Contexts

This paper presents a latent growth SEM approach for the estimation of treatment effects, and power to detect such effects, within a true experimental design setting in which subjects are randomly assigned to treatment and control conditions. Power estimation is a critical component of intervention experiment design and the testing of their results. Although researchers have become increasingly sophisticated in applying tests for statistical significance in intervention contexts, few are aware of the power of these tests. The issues raised in this paper are not new; however, reminding researchers to consider these points is important. Exactly how the researcher handles these issues will depend on the questions asked and the resources available, as well as other considerations. Discussion underscores the relationship between the reliability of a study's measures and concomitant increases in power obtained within the SEM framework.     

Linkage analysis: Modus operandi, ritual, and signature in serial sexual crime

This article examines a process of behavioral analysis, referred to as linkage analysis, used in identifying sexual offenses that have been committed by the same offender. This type of analysis examines behavior that is contained in three distinct components of a crime, i.e., the modus operandi (MO) or the “how to” of a crime; the ritual or fantasy-based behaviors for a particular type or series of sexual crimes; the signature or unique combination of behaviors, which suggests that a series of crimes has been perpetrated by the same offender. Linkage analysis involves five assessment procedures: (1) gathering detailed, varied, and multisource documentation; (2) reviewing the documentation and identifying significant features of each crime individually across the series; (3) classifying the significant features of the crime as either MO and/or ritualistic constructs; (4) comparing the combination of MO and ritualistic features across the crimes to determine if a signature exists; (5) compiling a written analysis that details the conclusions derived from the available information. Results of this type of analysis can be used for investigative purposes and, in some instances, can help to inform the decision-making of the courts.     

Emotion Regulation Across the Life Span: An Integrative Perspective Emphasizing Self-Regulation,Positive Affect,and Dyadic Processes

In this commentary, we build upon the papers featured in this 2-part special issue to advance an integrative perspective on emotion regulation that emphasizes the developmentally specific goal-contexts of emotional phenomena. We highlight the importance of (1) multilevel longitudinal investigations of interactions among biological, affective, cognitive, and behavioral processes with respect to emotion regulation; (2) the integration of emotion-regulation processes with self-regulatory processes across the life course; (3) the dynamic relationship between positive and negative affect and their respective influence on regulatory processes; and (4) greater consideration of the dyadic context of emotion-regulation processes. From this perspective, the optimal developmental outcome with respect to emotion regulation is not affective homeostasis, but rather a dynamic flexibility in emotional experience, the ability to pursue and prioritize different goals, and the capacity to selectively and proactively mobilize emotions and cognitions in the service of context-specific and developmentally specific goals.