EXAMINING THE MULTIFACETED NOTION OF ISOMORPHISM IN MARRIAGE AND FAMILY THERAPY SUPERVISION: A QUEST FOR CONCEPTUAL CLARITY

The notion of isomorphism has been recommended as a comceptual framework to guide the practice of marrige and family therapy (MFT) supervision. The term is frequently cited in the MFT training literature but is often used in different ways. A panel of MFT supervirors rated the impotance and relevance to both therapy and supervision of a large pool of variables. The majority of variables were found to be a equally relevant or isomorphic to the domains of MFT and MFT supervisoin. A qualitative interview with a small subset of the panelists suggested that the concept, to varying degrees, has influenced their work as supervisors. The implications of the results for theory development, research, and supervisory practices are discussed.     

The Social Transformation of Trust in Government

The phenomenon of declining political trust among the American public has been widely discussed, with the explanations often focusing on specific historical events or the unique problems of American political institutions. We first demonstrate that public doubts about politicians and government are spreading across almost all advanced industrial democracies. The pervasiveness of this trend suggests that common social forces are affecting these nations, and we examine the social correlates of the decrease in trust. We find the greatest declines are among the better-educated and upper social status. These results suggest that changing citizen expectations, rather than the failure of governments, are prompting the erosion of political support in advanced industrial democracies.     

Building blocks for graphical belief models

The graphical belief model is a versatile tool for modeling complex systems. The graphical structure and its implicit probabilistic and logical independence conditions define the relationships between many of the variables of the problem. The graphical model is composed of a collection of local models:models of both interactions between the variables sharing a common hyperedge and information about single variables. These local models can be constructed with either probability distributions or belief functions. This paper takes the latter approach and describes simple models for univariate and multivariate belief functions. The examples are taken from both reliability and knowledge representation problems.     

Obstacles to research analysis

1. The homeless population is composed of subgroups with varying mental health status and needs. 2. Different research designs and data collection methods require differing psychosocial abilities and skills on the part of the respondent. 3. As a result of the psychosocial abilities required and method of sampling, studies are likely to either underrepresent or overrepresent the severely mentally ill homeless. 4. Caution must be exercised in drawing conclusions from any one study.     

A Label Superiority Effect in Children's Categorization of Facial Expressions

In three studies (N's = 360, 68, 160), children (2 to 7 years of age) were asked to categorize various facial expressions. The emotion category was specified to the child by its label (such as happy), its facial expression (such as a smile), or both. From the youngest to the oldest children and for all 3 emotion categories examined (happiness, anger, and sadness), results showed a Label Superiority Effect: emotion labels resulted in more accurate categorization than did the corresponding facial expression. Errors conformed to a structural model emphasizing the dimension of pleasure‐displeasure.     

The reversal small-world experiment

This paper is an attempt to examine and define the world network of a typical individual by discovering how many of his or her acquaintances could be used as first steps in a small-world procedure, and for what reasons. The town and occupation of each target was provided, together with the ethnic background, where this could not be inferred from the name. Starters were instructed in the small-world experiment and asked to write down their choice, amongst the people they knew, for the first link in a potential chain from them to each of 1267 targets. Starters provided information on each choice made (e.g. mother, cousin, friend, acquaintance, etc.) together with the sex of the choice) and the reason that choice had been made. The reason could be in one or more of four categories: something about the location of the target caused the starter to think of his or her choice; the occupation of the target was responsible for the choice; the ethnicity of the target; or some other, unspecified, reason.Six main conclusions may be drawn from the data: (1) A mean of 210 choices per starter account for the “world” (i.e. the 1267 targets). This number is probably an underestimate. Only 35 choices are necessary to account for half the world, however. Of the 210, 95 (45%) were chosen most often for location reasons, 99 (47%) were chosen most often for occupation reasons, and only 7% of the choices were mainly based on ethnicity or other reasons. (2) Choices were mainly friends and acquaintances, with strong cleavage by sex. For any given target, the type of choice used by the majority of starters was a friend or acquaintance, and not family. For any given target, the most likely sex of the choice (i.e. over all starters) can be predicted accurately on 82% of occasions. This sex tends to be male, unless both starter and target are female, or if the target has a low-status occupation. Additionally, any given starter is most likely to pick a male choice for any target, except for the female starter-female target combination, when female choices are more likely. This was correct on 64% of occasions. (3) Location was the usual reason for choice (out of the four categories), with occupation second, and ethnicity or other reasons rarely used. This most popular reason for choice may be correctly predicted for any given target 81% of the time. (4) The decision as to which choice was made appears to depend primarily on the occupation of the target, and secondly on the distance (near/far) from Morgantown, West Virginia, where the experiment took place. (5) The expression “having one's man in …” can be partially quantified. We may define a choice to “handle” a state in the U.S. if he or she was chosen for two-thirds or more of the targets in that state for which choices were made on the basis of location. Then, for any starter, on average, half the states are each handled by a single choice. (6) The accuracy of starters' recall about their networks is low, in the sense that their recall is incorrect more often than it is correct (i.e. their recall could not be put to any other use with any reliability). This confirms previous experiments on informant accuracy.     

Child effects in socialization research: Some conceptual and data analysis issues

This paper examines issues associated with the conceptualization of child effects in socialization research and outlines possible data analysis strategies that may be used with contemporaneous correlational data from parents and children. The paper begins with an outline of some recognized prohlems in the studv of child effects. The role of cognitive factors, which complicate efforts to disentangle child effects, is emphasized, in an attempt to clarify further the meaning of child effect, three different types of effect are outlined and then a distinction is made between moderator and mediator variables. In general, a moderator variable specifies when certain outcomes will hold (e.g. for one type of child but not another), whereas a mediator variable indicates how or why the outcome occurs. The distinction between moderator-mediator variables provides the main focus of the paper. It assists in the conceptualization of child effects, as well as having direct implications for data analysis strategies. The relevance of the distinction is illustrated via data from a study of family relationships. The use of correlations, multiple regressions with interaction terms, and latent variable path analysis are examined as ways of investigating moderator and then mediator variables. Conclusions are reached about conceptual and data analysis difficulties associated with attempts to determine child effects.