Positive and negative affect: A maximum-likelihood approach

Using the LISREL maximum-likelihood program, the relation between Bradburn's positive affect and negative affect scales is examined for three age groups of adults. It is found that (a) unequal item loadings fit significantly better than equal item loadings; (b) the best-fitting loadings for the elderly are significantly different from those of the non-elderly; (c) the positive and negative affect scales are substantially correlated and (d) correlations with related variables are stronger when positive and negative affect scales are formed by maximum-likelihood loadings rather than by unit loadings. Given the widespread use of Bradburn's scales, implications of these results for subjective well-being are discussed.     

The influence of macroeconomic variables on the probability of union decertification

This study focuses on the role macroeconomic factors play in explaining the proportion of decertification elections lost by the union movement in the postwar period. Previous research has neglected the importance of such macroeconomic variables. Our results indicate that the union-nonunion wage differential, inflation, strikes, state of the labor market, and union density are related to the phenomenon of decertification. The authors would like to thank Greg Hundley, Mike Bognanno, Paul Schumann, Jim Scoville, the editor, and a reviewer for valuable comments and Michael Wachter and William Wascher for providing some unpublished data.     

Artificial intelligence and formal models of international behavior

During the past five years, models and techniques developed in artificial intelligence (AI) have been applied to a wide variety of topics in international relations (IR). These applications build on a theoretical base established at MIT during the 1970s, and the expansion of the applications reflects both changes in AI research and limitations of alternative models such as statistical modeling and rational choice approaches. Current applications in IR/AI tend to fall into three categories. First, there have been extensive applications of if-then rules in expert systems and simulations. Second, many models emphasize the role of historical precedent in IR decision making. Third, a variety of approaches employing natural language are under development. These AI techniques have extended considerably the range and complexity of formal models of international behavior. He has spent the past four years working on applications of artificial intelligence to the problem of making short-term predictions of international behavior. He is author ofMicrocomputer Methods for Social Scientists (Sage 1987) and numerous articles on mathematical modeling.     

INTERVENTION STRATEGIES: PREDICTING FAMILY THERAPY OUTCOME*

A pre-defined list of family therapy intervention strategies was used to predict post-therapy perceived life happiness and marital happiness among husbands and wives. Clients presented with both child and marriage-focused problems. The data were analyzed separately for husbands and wives. In general, favorable outcome for husbands was associated with active restructuring operations on the part of the therapist. Prediction of outcome for wives was less clear. However, wives did appear to respond favorably to less active interventions such as actualizing transactional patterns and reframing.     

The news value of nonprofit organizations and issues

This article reports on a study of the newsworthiness of information about nonprofit organizations and issues. The two-part study included content analysis of news stories in the 1991 editions of the San Francisco Chronicle and interview with editors and reporters at the paper.     

Psychopathology in pathological gamblers seeking treatment

High rates of psychiatric symptoms have been reported in pathological gamblers. This study of psychiatric comorbidity in pathological gamblers is the first to use structured psychiatric interviews assessing DSM-III-R Axis I and II disorders. The Structured Clinical Interview for DSM III-R (SCID-P, SCID-II) was administered to 40 (25 male, 15 male) pathological gamblers seeking outpatient treatment in Minnesota for gambling, and 64 (41 male, 23 female) controls. High lifetime rates of Axis I (92%) but not Axis II (25%) psychopathology were found in pathological gamblers as compared to controls. No differences between male and female gamblers were found in rates of affective, substance use or personality disorders. Females had higher rates of anxiety disorders and histories of physical/sexual abuse. Possible associations between psychiatric disorders and pathological gambling are discussed along with gambler typologies and implications for future research.The authors wish to gratefully acknowledge the assistance of: Gary Christenson, M.D., Carol Peterson, Ph.D., William Meller, M.D., Thomas Mackenzie, M.D.