When implicit prejudice does not predict explicit prejudice: Spanish version of the Concern with Acting Prejudiced scale / Cuando el prejuicio implícito no predice el explícito: versión española de la escala Concern with Acting Prejudiced

The aim of this research was to adapt and validate the Concern with Acting Prejudiced (CAP) scale for a Spanish sample. This measure evaluates concern about appearing prejudiced to others or oneself and the motivation not to deviate from personal egalitarian standards. First, we completed the translation and an item content validity analysis. Then, in Study 1 (N = 198), we conducted an exploratory factor analysis. In Study 2 (N = 383), we conducted a confirmatory analysis of the unifactorial structure of the Spanish version of the scale and examined its validity. In Study 3 (N = 89), we explored the moderating role of participants’ concern with acting prejudiced in the relation between implicit prejudice and explicit prejudice. The results confirmed the unifactorial structure of the scale, its appropriate psychometric properties and its predictive validity. Moreover, we confirmed that the CAP moderated the relation between implicit and explicit prejudice. In participants with a low concern with acting prejudiced, implicit prejudice was positively related with modern prejudice; in participants with a high concern with acting prejudiced, these variables were not related.     

Cyclic designs for a covariate model

A linear model with one treatment at V levels and first order regression on K continuous covariates with values on a K-cube is considered. We restrict our attention to classes of designs d for which the number of observations N to be taken is a multiple of V, i.e. N = V × R with R ≥2, and each treatment level is observed R times. Among these designs, called here equireplicated, there is a subclass characterized by the following: the allocation matrix of each treatment level (for short, allocation matrix) is obtained through cyclic permutation of the columns of the allocation matrix of the first treatment level. We call these designs cyclic. Besides having easy representation, the most efficient cyclic designs are often D-optimal in the class of equireplicated designs. A known upper bound for the determinant of the information matrix M(d) of a design, in the class of equireplicated ones, depends on the congruences of N and V modulo 4. For some combinations of parameter moduli, we give here methods of constructing families of D-optimal cyclic designs. Moreover, for some sets of parameters (N, V,K = V), where the upper bound on ∣M(d)∣ (for that specific combination of moduli) is not attainable, it is also possible to construct highly D-efficient cyclic designs. Finally, for N≤24 and V≤6, computer search was used to determine the most efficient design in the class of cyclic ones. They are presented, together with their respective efficiency in the class of equireplicated designs.     

Well-Being Among Spanish Lesbian,Gay, Bisexual and Heterosexual Adults: Disclosure of Sexual Orientation to Family and Friends

Relevance of disclosure of minority sexual orientation on subjective (SWB) and psychological well-being (PWB) was analyzed. Participants were 236 men and 238 women self-identified as lesbian, gay, and bisexual (LGB) or heterosexual. No differences in SWB were found between heterosexuals and LGBs. Heterosexual women showed greater environmental mastery than bisexual men and greater purpose in life than lesbian and bisexual women. Outcomes showed greater well-being among LGBs who disclosed their minority sexual orientation to parents later in life. Disclosing minority sexual orientation to parents was related with greater PWB. Further research that takes a differential approach to improve well-being for LGBs is needed.     

The impact of the economic crisis on the practice of social casework

ABSTRACT

What is the impact of the economic crisis on the practice of social casework? How is the economic crisis reflected in the professional practice, when social services have to cope with depletion as a result of an increasing attendance pressure? This study analyses the way in which social workers in community services face the understanding of the problem situation jointly with their clients. The aim is to uncover the items that professionals prioritize when they formulate and analyse the problem situation together with their clients. Data show that there is a discrepancy between the intervention criteria that have been considered important and their level of accomplishment. This difference points out that the understanding of the problem situation seems superficial, showing a low level of practice of the intervention criteria that assess the meanings which clients give to the incidents, strengths, solutions attempted, and larger systems involved. Data show that the implementation of fundamental analysis instruments is not sufficiently trusted and the use of the professional’s own knowledge is not regarded as important. This situation does not provide a context of intervention that is suitable and consistent with the problem situation and, consequently, the interventions for change will probably not match the clients’ needs.     

Polysubstance use patterns in underground rave attenders: a cluster analysis

Drug use in mainstream rave parties has been widely documented in a large number of studies. However, not much is known about drug use in underground raves. The purpose of this study is to find out the polysubstance use patterns at underground raves. Two hundred and fifty-two young people between the ages of 18 and 30 who went to underground raves were interviewed. They were given a questionnaire to collect information on drug use at raves. Ravers used a mean of 4.9 different drugs at the last rave they had been to. Over 75% of them used tobacco, alcohol, cannabis, and amphetamine, and over half also used powder ecstasy. Two differentiated use patterns were found: one pattern concentrated more on the use of stimulants and the other on the use of hallucinogens. Underground ravers have a "standard" sociodemographic profile. The use of drugs is much higher than equivalent age group. Higher drug use prevalence than in mainstream rave parties is also observed. Different patterns of use appear which will be necessary to consider in designing preventions and risk reduction strategies,     

Optimal designs for covariates’ models

A linear model with one treatment at V levels and first order regression on K continuous covariates with values on a K-cube is considered. The D-criterion is used to judge the ‘goodness’ of any design for estimating the parameters of this model. Since this criterion is based on the determinant of the information matrix M(d) of a design d, upper bounds for |M(d)| yield lower bounds for the D-efficiency of any design d in estimating the vector of parameters in the model. We consider here only classes of designs d for which the number N of observations to be taken is a multiple of V, that is, there exists R≥2 such that N=V×R.Under these conditions, we determine the maximum of |M(d)|, and conditions under which the maximum is attained. These conditions include R being even, each treatment level being observed the same number of times, that is, R times, and N being a multiple of four. For the other cases of congruence of N (modulo 4) we further determine upper bounds on |M (d)| for equireplicated designs, i.e. for designs with equal number of observations per treatment level. These upper bounds are shown to depend also on the congruence of V (modulo 4). For some triples (N,V,K), the upper bounds determined are shown to be attained.Construction methods yielding families of designs which attain the upper bounds of |M(d)| are presented, for each of the sixteen cases of congruence of N and V.We also determine the upper bound for D-optimal designs for estimating only the treatment parameters, when first order regression on one continuous covariate is present.     

Supporting the collaborative decision-making process in an automotive supply chain with a multi-agent system

Collaborative initiatives such as collaborative design, collaborative planning and forecasting, and open collective innovation are increasingly accepted as approaches that can effectively support decision-making (DM) processes in a range of different industries. However, justifying and demonstrating the benefits of collaborative solutions remains a challenge and has been under-researched. Demonstrating the feasibility of implementing collaborative solutions as opposed to traditional, linear and transactional solutions is even less evident. The purpose of this paper is to conceive a collaborative solution that supports the multi-level DM process in a real, tree-based automotive supply chain environment. The hypothesis presented posits that by sharing information collaboratively, improvements in terms of the profit and service levels will be found within the supply chain and at every supply chain node.