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.     

Effect of pavement and water deficit on biomass allocation and whole-tree transpiration in two contrasting urban tree species

Urban Ecosystems - Aiming to explore the species-specific responses of biomass allocation and whole-tree transpiration in urban trees to pavement and drought, a field manipulation experiment grew...     

Developing Wellbeing as a Critical Tool in Social Work Education: An Example from the Field of Learning Disability

This paper will explore how ‘wellbeing’ is used in social work education to develop a critical understanding of the current English personalisation agenda, in relation to people with ‘moderate to severe’ learning disabilities. Drawing upon a short thematic analysis of policy for Learning Disability and Social Work Education, the paper will develop the argument that social wellbeing is an important factor for critical engagement and practice with this service-user group. Based upon teaching – incorporating service user and care views, as well as current research-in-progress, Schalock's (2004) taxonomy of wellbeing is developed to focus upon three themes: friendships and relationships; community engagement and structural factors. The importance for social workers of exploring aspects of community, in its widest sense, is emphasised, contrasting with a narrower view presented in policy implementation. The application of wellbeing as a practice and analytical concept therefore provides a framework for a critically reflective and engaged practice.     

Markov models of mite movements

Continuous time Markov models were used to analyse data from two bioassays to investigate the influence of β-fraction, a by-product of hop processing, on the two-spotted spider mite. The models were fitted to aggregate counts of the numbers of live and dead mites on treated and untreated halves of discs cut from leaves of hop and French bean plants. Some of the rate parameters were time dependent. Although not all parameters could be estimated precisely, the analysis enabled the quantitative effects of treatment over time to be estimated with reasonable precision. The estimated treatment effects were largely insensitive to the assumed values of other parameters. The first bioassay showed a progressive initial response to increasing concentration of β-fraction, although data at the intermediate concentration appeared anomalous. The second bioassay showed similar responses on hop and French bean leaves, with a stronger repellent effect on the lower leaf surface than on the upper surface.