The Personal and Social Worries of Adolescents in Northern Ireland: Results of a Survey

The aim of this study was to ascertain the self-perceived social and personal concerns of adolescents attending educational institutions in Northern Ireland. 446 questionnaires from 15-18-year-old students at ten institutions were analysed in order to determine the frequency with which respondents reported worrying about the following broad areas: school, choosing a job, finding a job, home, starting work, opposite-sex relationships, personal issues, and relating to others. The effects of variables such as gender, age and nature of educational institution attended were also examined. The results indicated that most frequent worry was reported about finding and choosing employment, personal issues and opposite-sex relationships. Gender, age and religious affiliation of school attended exerted major effects. Implications for those involved in working with adolescents within educational contexts are discussed.     

The relationship between counsellor interpersonal skills and the core conditions of client-centred counselling

The present study aimed to determine whether there was a systematic relationship between Rogers'(1957) core conditions of empathy, acceptance and genuineness, and counsellors' use of specific behaviours or skills which have been isolated for training. Video recordings of 12 counsellors' performance in 'naturalistic' counselling interactions were analysed. Counsellor, client and judges' ratings of the core conditions were obtained. Skill assessment included molar ratings of eight skill areas and molecular measures of 29 behaviours. The results indicated that there were few significant relationships. It is concluded that there is a discrepancy between specification of the skills or behaviours which are thought to communicate the core conditions and those which have been empirically demonstrated to do so. Implications for counsellor training and proposals for future research are discussed.     

Comparisons of parents', teachers', and students' perceptions of self-concept in children from one- and two-parent families

19 pairs of third grade children from intact and single-parent families matched for sex, intellectual ability, and academic achievement were administered a brief self-concept measure. Teachers and parents rated the students' self-concept on similar measures. There were no significant differences in scores between the groups; however, within each group the teachers and parents consistently overestimated students' self-esteem.     

A quasi-nonmetric method for multidimensional scaling VIA an extended euclidean model

An Extended Two-Way Euclidean Multidimensional Scaling (MDS) model which assumes both common and specific dimensions is described and contrasted with the standard (Two-Way) MDS model. In this Extended Two-Way Euclidean model then stimuli (or other objects) are assumed to be characterized by coordinates onR common dimensions. In addition each stimulus is assumed to have a dimension (or dimensions) specific to it alone. The overall distance between objecti and objectj then is defined as the square root of the ordinary squared Euclidean distance plus terms denoting the specificity of each object. The specificity,s _j , can be thought of as the sum of squares of coordinates on those dimensions specific to objecti, all of which have nonzero coordinatesonly for objecti. (In practice, we may think of there being just one such specific dimension for each object, as this situation is mathematically indistinguishable from the case in which there are more than one.)We further assume that _ij =F(d _ij ) +e _ij where _ij is the proximity value (e.g., similarity or dissimilarity) of objectsi andj,d _ij is the extended Euclidean distance defined above, whilee _ij is an error term assumed i.i.d.N(0, ²).F is assumed either a linear function (in the metric case) or a monotone spline of specified form (in the quasi-nonmetric case). A numerical procedure alternating a modified Newton-Raphson algorithm with an algorithm for fitting an optimal monotone spline (or linear function) is used to secure maximum likelihood estimates of the paramstatistics) can be used to test hypotheses about the number of common dimensions, and/or the existence of specific (in addition toR common) dimensions.This approach is illustrated with applications to both artificial data and real data on judged similarity of nations.