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This article investigates green party members’ activism in the environmental movement and tests how a number of predictors, theoretically suggested in the past yet rarely empirically tested, can account for it. The authors’ analysis is based on an extensive data set of members of 15 green parties in 12 European countries ( N = 6,639). This article finds that members’ activism can be accounted for largely by network and identity variables, as suggested by social movements’ scholars, whereas “new social movements” theories did not adequately explain environmental activism. Thus, network or identity variables, such as past activism, membership in environmental organizations, and activism in other social movements, are significant in the multivariate model. A number of alternative models are significant alone but not when network or identity variables are added to the model: postmaterialism, a “new environmental paradigm” worldview, and political attitudes. Although age, rational choice considerations, and new middle-class placement remain statistically significant, yet—for the latter case—its effect is negative. Macro-level variables, such as the green party’s governmental experience, the country’s quality of natural environment as well as environmental policies, were also found to have statistically significant effects on activism.

There is still limited knowledge about the interrelations among the age of initiation of different substances and the diverse aspects of adolescent functioning. The present cross-national study aimed at exploring the presence of a time-order pattern of age of initiation of different substances and the relationships with personal and relational resources and vulnerabilities, drawn from the problem behaviour theory by Jessor et al. (1991). The sample consisted of 970 adolescents from Italy and The Netherlands, of whom 198 were fully initiated in alcohol, first tobacco use, regular tobacco smoking and marijuana. In both countries, cumulative scale analyses showed the presence of a pattern of age of initiation in the different types of substances. The earlier the age of onset of one substance, the earlier the age of onset of the other substances. Furthermore, the higher the personal resources and the healthy, conventional parents and friend models, the older the age of initiation of different substances by both Dutch and Italian adolescents. With respect to the use of alcohol, the higher the relational resources, the older the age of initiation. Conversely, the higher the adolescents perceived relational vulnerabilities, the younger their age of initiation in drugs. These findings suggest that preventive interventions might be more successful when they are precocious, enhance personal capabilities, and produce changes in the adolescent life context.

Purpose. To explore the role of distress and social support as modifiers of functional disability in rheumatoid arthritis (RA). We hypothesized that: (a) higher inflammatory activity, more joint tenderness and more pain lead to more disability, and (b) that more distress and less social support lead to more disability and accelerate the disablement process by moderating the effects of inflammatory activity, joint tenderness and pain.Methods. The study is a Dutch extension of the European Research on Incapacitating Diseases and Social Support (EURIDISS) which started with 292 patients. After five waves of data collection 129 still participated. Correlational and hierarchical regression analyses were performed.Results. In short-term RA, 68% of the variance in disability could be explained primarily by mean disability over the prior years. Other important predictors were inflammatory activity and pain. In long-term RA, 56% of the variance in disability could be explained primarily by mean disability over the prior years. Other important predictors were joint tenderness and pain. No clear moderator effects of distress and social support were found in short-term or long-term RA.Conclusions. The results confirm the main pathway from pathology to disability in short-term and long-term RA, but do not provide support for the influence of distress and social support on the disablement process.

The aim of this exploratory study was to test the applicability of a model derived from the Theory of Planned Behavior on self-management. In this model social support from the partner, attitude and self-efficacy are determinants of intention, and intention and self-efficacy are determinants of self-management. We tested the model on rheumatoid arthritis patients who have a partner, using regression analyses and structural equation models. Partner support and attitude partly explained the variance in intention. Intention in turn partly explained the variance in self-management. Self-efficacy showed a tendency to positively affect intention and self-management. The present study provided moderate support for the use of the constructs and ideas derived from the Theory of Planned Behavior - attitude, social support, self-efficacy, and intention - in predicting and explaining self-management.

This article introduces a model of ordinal unidimensional measurement known as Mokken scale analysis. Mokken scaling is based on principles of Item Response Theory (IRT) that originated in the Guttman scale. I compare the Mokken model with both Classical Test Theory (reliability or factor analysis) and parametric IRT models (especially with the one-parameter logistic model known as the Rasch model). Two nonparametric probabilistic versions of the Mokken model are described: the model of Monotone Homogeneity and the model of Double Monotonicity. I give procedures for dealing with both dichotomous and polytomous data, along with two scale analyses of data from the World Values Study that demonstrate the usefulness of the Mokken model.

This article describes a nonparametric unidimensional unfolding model for dichotomous data (van Schuur 1984) and shows how it can be extended to multicategory data such as Likert-type rating data. This extension is analogous to Molenaar's (1982) application of Mokken's (1970) nonparametric unidimensional cumulative scaling model. The model is illustrated with an analysis of five-point preference ratings given in 1980 to five political presidential candidates by Democratic and Republican party activists in Missouri.

Parameters are derived of distributions of three coefficients of similarity between pairs (dyads) of operational taxonomic units for multivariate binary data (presence/absence of attributes) under statistical independence. These are applied to test independence for dyadic data. Association among attributes within operational taxonomic units is allowed. It is also permissible for the two units in the dyad to be drawn from different populations having different presence probabilities of attributes. The variance of the distribution of the similarity coefficients under statistical independence is shown to be relatively large in many empirical situations. This result implies that the practical interpretation of these coefficients requires much care. An application using the Jaccard index is given for the assessment of consensus between psychotherapists and their clients.

Objective. To examine the strength and stability of the relationships between disease-related factors (joint tenderness, pain, and functional disability), social support, and distress over time, and to investigate to what extent disease-related factors and social support can predict distress in short-term and long-term rheumatoid arthritis (RA).Methods. The study was a Dutch extension of the European Research on Incapacitating Diseases and Social Support and started with 292 patients. After 5 waves of data collection, 129 patients remained. Composite measures were computed following the area under the curve approach. Interaction terms were computed between functional disability and social support satisfaction. Correlational and hierarchical regression analyses were performed.Results. In patients with short-term RA, disease-related factors and social support were important in determining distress. Also, a buffering effect of social companionship was found. In total, 51% of the variance in distress in short-term RA could be explained primarily by mean distress over the previous years. In patients with long-term RA, disease-related factors remained important in determining distress, but to a lesser extent. Seventeen percent of the variance in distress in long-term RA could be explained primarily by mean distress over the years before.Conclusion. During the course of the disease, patients may learn to adjust to their disease and its consequences and are able to maintain a normal distress level. The effect of the disease on psychological distress decreased over the years. Some support for the buffering hypothesis of social support was found in short-term RA, but not in long-term RA.

A nonparametric item response theory (IRT) model for the circumplex is introduced, based on (1971) nonparametric IRT model for cumulative scaling, and (1984) nonparametric IRT model for unfolding. Some examples of circumplex representations in the social sciences are given. Model fit is based first on an extension of Loevinger’s coefficient of homogeneity using quadruples as elementary units of analysis. Diagnostics for the probabilistic circumplex are suggested. Assignment of (ordinal) scale values is based on the notion of item steps, as developed by (1983). The model presented here is based on dichotomous pick any/k data. Suggestions for extension to rank m/k data and to polytomous data are discussed.

This paper discusses a number of problems with existing unfolding models and proposes a strategy of analysis to overcome these problems. This strategy assumes dichotomous or dichotomized data, and derives unfoldability criteria from information about ordered triples of stimuli. A unidimensional unfolding scale conforming to these criteria can be found for a maximal subset of stimuli. This procedure can be applied to full or partial rank orders of preference, which are dichotomized to “pick k/n” data, and to Likert-type rating scales, which are dichotomized to “pick any/n” data. This procedure is applicable to large data sets, such as survey data. As an example, the procedure is applied to preferences for five German political parties in electoral surveys in 1969, 1972, and 1980. A dominant left-right unfolding dimension is found, and violations of this representation are discussed.