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.     

The money laundering control act and proposed amendments: Its impact on the casino industry

In their efforts to track unreported income, Congress passed the Money Laundering Control Act in 1985. Because they are often involved in large cash transactions, casinos were required to report on cash transactions in amounts of $10,000 or more in much the same manner as banks and other financial institutions. However, because of the unique nature of cash and chip transactions within modern casinos, the Act, or state variants of it, have created significant compliance costs for casinos. This analysis examines the implications of the Act for the casino gaming industry, and evaluates some of the recent suggested Amendments to the Act.     

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.     

The Institutionalization of COSSA: An Innovative Response to Crises by American Social Science

Over the past seventy-five years, separate disciplinary associations have been created for each of the social sciences in the United States. As a consequence, cooperation among the associations has only been periodic and delimited. These associations have been primarily focused on member services and have been less concerned than the biological and physical science associations with issues of governmental science policy.
The first Reagan budget was constructed to reduce the already sparse research support by the federal government for the social sciences. That intent mobilized the national social science community to develop collective and coordinated action. Building on a latent structure that had emerged from the common Washington location of the disciplinary associations, the Consortium of Social Science Associations was institutionalized to make a response. COSSA's initial success minimized some of the potential negative consequences. That success suggested the value of such cooperative efforts and also confirmed the necessity of the continuation of COSSA in the future.