When Faith,Race, and Hate Collide: Religious Ecology,Local Hate Cultures,and Church Burnings

This study explores the extent to which the spate of church burnings that occurred throughout the South during the 1990s may have been influenced by local religious ecologies, diverse forms of civic engagement, and broader community support for racial animus that we call local hate cultures (e.g., prior hate crime incidents, hate group presence). We use county-level data from a variety of sources to determine the degree to which church arsons were associated with relevant features of local communities. Various congregational factors measuring county-level religious ecology are significantly associated with the number of church burnings in Southern communities, as are several local hate culture indicators. Our study provides empirical confirmation of the linkages between church arsons, the public role of religious institutions, and local hate cultures. It also suggests a number of theoretical refinements for existing community-level approaches to the study of religion and hate crimes.     

Local and global cross-modal influences between vision and hearing, tasting, smelling, or touching

It is suggested that the distinction between global versus local processing styles exists across sensory modalities. Activation of one-way of processing in one modality should affect processing styles in a different modality. In 12 studies, auditory, haptic, gustatory or olfactory global versus local processing was induced, and participants were tested with a measure of their global versus local visual attention; the content of this measure was unrelated to the inductions. In a different set of 4 studies, the effect of local versus global visual processing on the way people listen to a poem or touch, taste, and smell objects was examined. In all experiments, global/local processing in 1 modality shifted to global/local processing in the other modality. A final study found more pronounced shifts when compatible processing styles were induced in 2 rather than 1 modality. Moreover, the study explored mediation by relative right versus left hemisphere activation as measured with the line bisection task and accessibility of semantic associations. It is concluded that the effects reflect procedural rather than semantic priming effects that occurred out of participants' awareness. Because global/local processing has been shown to affect higher order processing, future research may activate processing styles in other sensory modalities to produce similar effects. Furthermore, because global/local processing is triggered by a variety of real world variables, one may explore effects on other sensory modalities than vision. The results are consistent with the global versus local processing model, a systems account (GLOMOsys; F?rster & Dannenberg, 2010).     

美国临床心理学培养模式的演进及展望

受到社会、组织及自身发展因素的影响, 美国临床心理学在不同时期存在着不同的培养模式。文章选取“科学家－实践者”模式、“实践者－学者”模式、“临床心理科学家”模式、“当下的临床科学家”模式及“循证实践者”模式等五种最具代表性的经典模式, 介绍了1949年以来美国临床心理学培养模式的特点及发展规律。认为“循证实践者”模式修正了前面四种培养模式的个体主义倾向, 将单个的“科学家－实践者”, 分化成“科学家”与“实践者”两个集团, 强调实践者遵循科学家提供的最佳证据, 考虑病人的特征、文化与价值观, 在管理者协调下开展实践。这种模式代表着当代临床心理学培养模式的发展方向。     

Clinical Guidelines for Working With Stepfamilies: What Family,Couple, Individual,and Child Therapists Need to Know

This article draws on four decades of research and clinical practice to delineate guidelines for evidence‐informed, clinically sound work with stepfamilies for couple, family, individual adult, and child therapists. Few clinicians receive adequate training in working with the intense and often complex dynamics created by stepfamily structure and history. This is despite the fact that stepfamilies are a fundamentally different family form that occurs world‐wide. As a result many clinicians rely on their training in first‐time family models. This is not only often unhelpful, but all too often inadvertently destructive. The article integrates a large body of increasingly sophisticated research about stepfamilies with the author's four decades of clinical practice with stepfamily relationships. It describes the ways in which stepfamilies are different from first‐time families. It delineates the dynamics of five major challenges stepfamily structure creates: (1) Insider/outsider positions are intense and they are fixed. (2) Children struggle with losses, loyalty binds, and change. (3) Issues of parenting, stepparenting, and discipline often divide the couple. (4) Stepcouples must build a new family culture while navigating previously established family cultures. (5) Ex‐spouses (other parents outside the household) are part of the family. Some available data are shared on the impact of cultural and legal differences on these challenges. A three‐level model of clinical intervention is presented: Psychoeducational, Interpersonal, and Intrapsychic/Intergenerational Family‐of‐Origin. The article describes some “easy wrong turns” for well‐meaning therapists and lists some general clinical guidelines for working with stepfamily relationships.     

Location,Location, Location: Applying Spatial Statistics to the Relationship Landscape

The desire to understand relationships is a passion shared by professionals in research, clinical, and educational settings. Questionnaires are frequently used in each of these settings for a multitude of purposes—such as screening, assessment, program evaluation, or establishing therapeutic effectiveness. However, clinical issues arise when a couple's answers on questionnaires do not match clinical judgment or lack clinical utility, while statistical problems arise when data from both partners are put into analyses. This article introduces the use of geospatial statistics to analyze couple data plotted on a two‐dimensional “relational map.” Relationship maps can increase assessment sensitivity, track treatment progress, and remove statistical issues typically associated with couple data. This article briefly introduces core assumptions of spatial models, illustrates the use of spatial models in creating a relational landscape of divorce, offers suggestions for the use of relational maps in a clinical setting, and explores future research ideas.     

Optimal data selection: Revision,review, and reevaluation

Since it first appeared, there has been much research and critical discussion on the theory of optimal data selection as an explanation of Wason’s (1966, 1968) selection task (Oaksford & Chater, 1994). In this paper, this literature is reviewed, and the theory of optimal data selection is reevaluated in its light. The information gain model is first located in the current theoretical debate in the psychology of reasoning concerning dual processes in human reasoning. A model comparison exercise is then presented that compares a revised version of the model with its theoretical competitors. Tests of the novel predictions of the model are then reviewed. This section also reviews experiments claimed not to be consistent with optimal data selection. Finally, theoretical criticisms of optimal data selection are discussed. It is argued either that the revised model accounts for them or that they do not stand up under analysis. It is concluded that some version of the optimal data selection model still provides the best account of the selection task. Consequently, the conclusion of Oaksford and Chater’s (1994) original rational analysis (Anderson, 1990), that people’s hypothesis-testing behavior on this task is rational and well adapted to the environment, still stands.     

Assessing local influence for specific restricted likelihood: Application to factor analysis

In restricted statistical models, since the first derivatives of the likelihood displacement are often nonzero, the commonly adopted formulation for local influence analysis is not appropriate. However, there are two kinds of model restrictions in which the first derivatives of the likelihood displacement are still zero. General formulas for assessing local influence under these restrictions are derived and applied to factor analysis as the usually used restriction in factor analysis satisfies the conditions. Various influence schemes are introduced and a comparison to the influence function approach is discussed. It is also shown that local influence for factor analysis is invariant to the scale of the data and is independent of the rotation of the factor loadings. The authors are most grateful to the referees, the Associate Editor, and the Editor for helpful suggestions for improving the clarity of the paper.     

Using context to build semantics

Latent semantic analysis (LSA) is a model of knowledge representation for words. It works by applying dimension reduction to local co-occurrence data from a large collection of documents after performing singular value decomposition on it. When the reduction is applied, the system forms condensed representations for the words that incorporate higher order associations. The higher order associations are primarily responsible for any semantic similarity between words in LSA. In this article, a memory model is described that creates semantic representations for words that are similar in form to those created by LSA. However, instead of applying dimension reduction, the model builds the representations by using a retrieval mechanism from a well-known account of episodic memory.     

Multilevel Perspectives on Community Intervention: An Example from an Indo-US HIV Prevention Project in Mumbai, India

This paper explores the meaning and applicability of multilevel interventions and the role of ethnography in identifying intervention opportunities and accounting for research design limitations. It utilizes as a case example the data and experiences from a 6-year, NIMH-funded, intervention to prevent HIV/STI among married men in urban poor communities in Mumbai, India. The experiences generated by this project illustrate the need for multilevel interventions to include: (1) ethnographically driven formative research to delineate appropriate levels, stakeholders and collaborators; (2) identification of ways to link interventions to the local culture and community context; (3) the development of a model of intervention that is sufficiently flexible to be consistently applied to different intervention levels using comparable culturally congruent concepts and approaches; (4) mechanisms to involve community residents, community based organizations and community-based institutions; and (5) approaches to data collection that can evaluate the impact of the project on multiple intersecting levels.     

The diagnostic process,the diagnosis and homeostasis

In this paper I shall try to analyse appropriate logic and actual methods as a preliminary to developing expert systems that will simulate clinical diagnosis. It is doubtful that all diagnoses address the same kind of problem and hence no one logic will suffice. Sometimes the signs and symptoms manifest an underlying disorder that cannot be observed directly (“the substantialist model”); sometimes there seems to be no underlying disorder and the diagnosis is a rearrangement of the data (“the nominalist model”). In deciding their merits in the particular case, we must identify the sources of variation; what is meant by saying that the data are independent; and what can be meant by “wrong” diagnosis and misclassification. Problems arise in human diagnosis because the data may be false, even lies; because the known list of diseases is not exhaustive; and because the probability of multiple unrelated diseases increases with age. Special difficulties arise from homeostasis (which is fundamental in defining and understanding disease) because the primary disturbances may be hard to distinguish from the homeostatic responses to them.     

On the unidentifiability of a certain class of skill multi map based probabilistic knowledge structures

In the process of fitting a probabilistic knowledge structure to data, standard goodness-of-fit statistics only partially describe the correctness of the fitted model. Irrespectively of how good the fit is, a too-high value of the error rates (careless error and lucky guess probabilities) might be a symptom of a misspecification of the model. In this situation, it could be critical to interpret those values as error rates. A more reasonable solution would be to hypothesize that some modifications have to be introduced in the model. In this paper, we show that in specific cases, these modifications yield basic local independence model parameterizations that are not identifiable. The applicative consequences of the theoretical results are displayed by means of an example carried out on a set of clinical data collected through the Maudsley Obsessional-Compulsive Questionnaire.     

Local Optima in Mixture Modeling

It is common knowledge that mixture models are prone to arrive at locally optimal solutions. Typically, researchers are directed to utilize several random initializations to ensure that the resulting solution is adequate. However, it is unknown what factors contribute to a large number of local optima and whether these coincide with the factors that reduce the accuracy of a mixture model. A real-data illustration and a series of simulations are presented that examine the effect of a variety of data structures on the propensity of local optima and the classification quality of the resulting solution. We show that there is a moderately strong relationship between a solution that has a high proportion of local optima and one that is poorly classified.     

Compounds,confounds, and models in developmental information processing: A reply to Trabasso and Foellinger

A point by point examination of Trabasso and Foellinger's paper shows their criticisms of my 1970 work to be based on errors of fact (regarding the data I reported) and errors of method (regarding proper procedures for model evaluation). Factual errors are refuted by summarizing crucial data reported in 1970 but ignored by my critics. Errors of method are refuted by contrasting my $\text{CSVI}\text{BE}$ model and data with Trabasso and Foellinger's model and data in the light of the scientific epistemology of model evaluation. The issues of “general” versus “local” models, their “empirical scope,” “number of empirical parameters,” and “simplifying assumptions” are examined. Five ways of evaluating models are distinguished, and in all five my 1970 model is shown to be superior to that of Trabasso and Foellinger. The 1970 data (in light of the controls built into the CSVI task) and new unreported data exhibiting developmental step functions confirm the model of a developmental growth of M (mental energy, working memory), which occurs concurrently with and independently from the growth of executive/control structures. Executive growth alone cannot explain the obtained results.     

Reorientation in a small-scale environment by 3-, 4-, and 5-year-old children

Geometric features of surfaces and local information are constitutive elements of spatial representations. A number of studies in animals (rats) and human children (24 months old) have shown that in a rectangular environment with a reward hidden in one of the corners, geometric properties predominate over local cues for search strategies. In contrast, monkeys and human adults are able to take into account both types of information (geometric and local) to reorient. So far, all of the experiments have been conducted in the locomotor space involving a navigational task. In the present study, we examined whether similar search patterns are found using a tabletop model of a rectangular room. Three groups of children (3-, 4-, and 5-year-olds) and one group of adults were tested. Results show that geometric encoding appears only at 4 years of age, that is later than in the locomotor space. The joint use of geometry and local cues emerges at 5 years of age. These data show that similar types of processing are implemented in both manipulatory and locomotor space but not at the same time. The difference between locomotor and manipulatory tasks suggests that being immersed in the environment makes this separated processing easier than being confronted by a task for which the object is exterior to the participant.     

Reconstruing the "reconstruction" of psychopathy: a comment on Cooke, Michie, Hart, and Clark

In this comment we highlight critical problems in the estimation of parameters for their hierarchical three-factor model of psychopathy, as assessed with the Hare Psychopathy Checklist, and their interpretation of these factors as causally related to socially deviant behavior. We argue that there is nothing "causal" about a model in which cross-sectional data are used to assert that antisocial tendencies are consequences of other more fundamental psychopathic traits. We present an equally viable model, based on the PCL-R four-factor solution, in which antisocial tendencies play a fundamental role in the construct of psychopathy, consistent with previous research and clinical tradition.     

Local influence analysis of structural equation models with continuous and ordinal categorical variables

This paper proposes a method to assess the local influence of minor perturbations for a structural equation model with continuous and ordinal categorical variables. The key idea is to treat the latent variables as hypothetical missing data and then apply Cook's approach to the conditional expectation of the complete‐data log‐likelihood function in the corresponding EM algorithm for deriving the normal curvature and the conformal normal curvature. Building blocks for achieving the diagnostic measures are computed via observations generated by the Gibbs sampler. It is shown that the proposed methodology is relatively simple to implement, computationally efficient, and feasible for a wide variety of perturbation schemes. Two illustrative real examples are presented.     

An Aggregate Fieldwork Model: Cooperative Learning,Research, and Clinical Project Publication Components

An occupational therapy psychosocial level-two fieldwork model, which consists of cooperative learning, clinical project or research publication, and interdisciplinary collaboration and intervention, is herein outlined. An example of the model is presented using an acute inpatient psychiatric setting with a multidisciplinary staff and 50 occupational therapy interns. Data on the aggregate fieldwork model collected over a two-and-a-half-year period from: 1) logs; 2) supervision; 3) peer reviewed publications; 4) conference presentations; 5) verbal feedback from the occupational therapy educational institutes; and 6) the supervisor's comparisons with other fieldwork models is presented. The outcome of the aggregate fieldwork model is that students do well, seem to learn more than in 1:1 supervisory models, and manage to publish while on fieldwork. It is hoped that more academic programs will consider working with clinical educators to develop programs based on this model.     

Neural dynamics of motion perception: Direction fields,apertures, and resonant grouping

A neural network model of global motion segmentation by visual cortex is described. Called the motion boundary contour system (BCS), the model clarifies how ambiguous local movements on a complex moving shape are actively reorganized into a coherent global motion signal, Unlike many previous researchers, we analyze how a coherent motion signal is imparted to all regions of a moving figure, not only to regions at which unambiguous motion signals exist. The model hereby suggests a solution to the global aperture problem. The motion BCS describes how preprocessing of motion signals by a motion oriented contrast (MOC) filter is joined to long-range cooperative grouping mechanisms in a motion cooperative-competitive (MOCC) loop to control phenomena such as motion capture. The motion BCS is computed in parallel with the static BCS of Grossberg and Mingolla (1985a, 1985b, 1987). Homologous properties of the motion BCS and the static BCS, specialized to process motion directions and static orientations, respectively, support a unified explanation of many data about static form perception and motion form perception that have heretofore been unexplained or treated separately. Predictions about microscopic computational differences of the parallel cortical streams V1 → MT and V1 → V2 → MT are made— notably, the magnocellular thick stripe and parvocellular interstripe streams. It is shown how the motion BCS can compute motion directions that may be synthesized from multiple orientations with opposite directions of contrast. Interactions of model simple cells, complex cells, hyper-complex cells, and bipole cells are described, with special emphasis given to new functional roles in direction disambiguation for endstopping at multiple processing stages and to the dynamic interplay of spatially short-range and long-range interactions.     

Disorders of excessive crying,feeding, and sleeping: The Munich Interdisciplinary Research and Intervention Program

The Munich Interdisciplinary Research and Intervention Program (MIRIP 1991) is an inter-disciplinary diagnostic and intervention service for families with regulatory disturbed infants (excessive crying, feeding/sleeping disturbances, disturbances of attachment/exploration, disturbances of autonomy/control). In addition, the systematic collection of data serve to investigate the etiology, clinical course, and possible treatments of regulatory problems in infancy. The program is based on a systemic model of early developmental psychopathology. Diagnostic procedures include a semistructured clinical interview, a developmental neuropediatric examination; behavioral diaries; questionnaires on infant temperament, the mother's psychological condition, marital satisfaction, and social support; and videotaped mother–infant interactions in age-related contexts. As is evident from the data analysis, regulatory disturbances in infancy may be associated with (1) maladaptive regulatory patterns in several domains (e.g., excessive crying and disturbed sleep-wake organization), (2) high maternal distress and multiple psychosocial risk factors, and (3) considerable distress of the early mother/parent–infant relationship and communication. Interaction-centered infant–parent psychotherapy is an interdisciplinary, multidimensional therapeutic approach for families with regulatory disturbed infants. It targets upon dysfunctional patterns of mother/parent–infant communication. Particular emphasis is put on restoring the parents' intuitive capacities. The approach has proved to be effective within short time periods and aims at preventing later developmental problems. © 1998 Michigan Association for Infant Mental Health     

Models for measurement,precision, and the nondichotomization of graded responses

It is common in educational, psychological, and social measurement in general, to collect data in the form of graded responses and then to combine adjacent categories. It has been argued that because the division of the continuum into categories is arbitrary, any model used for analyzing graded responses should accommodate such action. Specifically, Jansen and Roskam (1986) enunciate ajoining assumption which specifies that if two categoriesj andk are combined to form categoryh, then the probability of a response inh should equal the sum of the probabilities of responses inj andk. As a result, they question the use of the Rasch model for graded responses which explicitly prohibits the combining of categories after the data are collected except in more or less degenerate cases. However, the Rasch model is derived from requirements of invariance of comparisons of entities with respect to different instruments, which might include different partitions of the continuum, and is consistent with fundamental measurement. Therefore, there is a strong case that the mathematical implication of the Rasch model should be studied further in order to understand how and why it conflicts with the joining assumption. This paper pursues the mathematics of the Rasch model and establishes, through a special case when the sizes of the categories are equal and when the model is expressed in the multiplicative metric, that its probability distribution reflects the precision with which the data are collected, and that if a pair of categories is collapsed after the data are collected, it no longer reflects the original precision. As a consequence, and not because of a qualitative change in the variable, the joining assumption is destroyed when categories are combined. Implications of the choice between a model which satisfies the joining assumption or one which reflects on the precision of the data collection considered are discussed.