NATURAL HEALTH DISCOURSES AND THE THERAPEUTIC PRODUCTION OF CONSUMER RESISTANCE

Social critics of the natural health movement charge that it indoctrinates consumers in a therapeutic consumerist ideology. This "dominated consumer" thesis ignores that socially situated individuals must negotiate a plethora of institutionally specific power structures aiming to classify and govern their identities. Accordingly, resistance toward specific institutional constructions of identity can be produced through marketplace ideologies. I explore this understudied ideological effect by analyzing the narratives of women who are using natural health alternatives to resist their ascribed medico-administrative identities. Natural health's therapeutic ideology enables these women to contest the degenerative implications of their medical diagnoses and, conversely, to reconstruct their chronic illnesses as an opportunity for discovering their inner regenerative potential and expanding their spiritual horizons. This analysis has implications for prior studies suggesting that resistance toward the technocratic and bureaucratic aspects of conventional medicine exemplifies a Foucauldian "care of the self." I argue that a postmodern adaptation of Foucauldian theory is needed to address the complex interrelationships among the care of the self, medical consumerism, and the therapeutic ideology of the natural health marketplace.     

Activities of People with Moderate to Severe Learning Difficulties: living with purpose or just killing time?

In this study, intensive observational methods were used to examine the daily flow of activity of 12 people with moderate to severe learning difficulties living in long-stay hospital, and 12 people living in community based hostels. This covered the participants' full waking day and included weekend observations. The qualitative findings demonstrated how the participants played an active part in determining their own lifestyles. A number of more active hospital participants dealt with the unstimulating functional regime by attempting to create a social niche for themselves. A number of less active participants coped with the hospital environment by withdrawing into themselves and engaging in stereotypical behaviour to mark the passing of time. While the hostels provided a more homely and supportive environment, the participants tended to occupy a peripheral status as the least able people in the hostels and day centres. Consequently, they often had to seek staff support for activity or turned inwards. The quantitative findings followed a similar pattern of results to previous research in this area.     

ANOTHER LOOK AT THE STRATIFICATION OF EDUCATIONAL TRANSITIONS: THE LOGISTIC RESPONSE MODEL WITH PARTIAL PROPORTIONALITY CONSTRAINTS

In this paper we reanalyze Robert D. Mare's highly influential work on educational transitions among American men born in the first half of the 20th century. Contrary to previous belief, Mare found that the effects of socioeconomic background variables decline regularly across educational transitions in conditional logistic regression analyses. We have reconfirmed Mare's findings and tested them by introducing a modified logistic response model that constrains selected social background effects to vary proportionally across educational transitions. We refer to our preferred model as the logistic response model with partial proportionality constraints (LRPPC). The model can easily be estimated in Stata or using other standard statistical software. Partial proportionality constraints may also prove useful in interpopulation comparisons based on other linear models.     

Marginal and association regression models for longitudinal binary data with drop‐outs: A likelihood‐based approach

Longitudinal data often contain missing observations, and it is in general difficult to justify particular missing data mechanisms, whether random or not, that may be hard to distinguish. The authors describe a likelihood‐based approach to estimating both the mean response and association parameters for longitudinal binary data with drop‐outs. They specify marginal and dependence structures as regression models which link the responses to the covariates. They illustrate their approach using a data set from the Waterloo Smoking Prevention Project They also report the results of simulation studies carried out to assess the performance of their technique under various circumstances.