Family patterns and child abuse in a nationally representative American sample

Data on 1, 146 families with a child age 3 through 17 at home are presented. Child abuse information was obtained for a randomly selected child in each family. Child abuse was defined as an attack by a parent involving punching, kicking, biting, hitting with an object, “beating up,” or using a knife or gun. Over 14 out of every 100 American children 3–17 are subjected to abusive violence each year. These figures are at least 26 times greater than those of the National Center For Child Abuse and Neglect. Even so, for reasons outlined in the paper, they are underestimates. Families in which child abuse occurred are compared with other families. The results suggest that child abuse is brought about by the very nature of the society and its family system. This has profound implications for the prevention and treatment of child abuse. Although psychotherapy may be appropriate in some cases, a more fundamental approach lies in such things as a more equal sharing of the burdens of child care, replacement of physical punishment with non-violent methods of child care and training, eliminating the stresses and insecurity which now characterize our economic system, and strengthening the ties of individual families to the extended family and the community.     

Aspiring Teachers and Urban Education Programs

The Urban Review - Research stresses a need for more contextually nuanced urban teacher preparation programs that explore racially oppressive structures in society. This article presents a case...     

A brief for individual merit in Michigan

Amicus Curiae

A brief for individual merit in Michigan Covington &; burling for the national association of scholars     

Potentiation and overshadowing between landmarks and environmental geometric cues

Rats were required in three experiments to find one of two submerged platforms that were situated in the same pair of diagonally opposite corners of a rectangular grey swimming pool. The experimental groups were trained with landmarks, comprising A4 cards attached to the walls, located in the corners containing the platforms. For the control groups, the landmarks were situated in the corners containing the platforms for half of the trials, and in the other corners for the remaining trials. Learning about the positions of the platforms with reference to the shape of the pool was overshadowed in the experimental groups when the landmarks were white, and enhanced when the landmarks were black. A fourth experiment assessed whether geometric cues influenced the control acquired by the landmarks. As in the previous experiments, the presence of the geometric cues overshadowed learning about the landmarks when they were white, but enhanced learning when the landmarks were black.     

Student counselling in Australian universities: Forty years of development

Since the first development of counselling services in Australian universities in 1953, the tertiary system, and counselling services within them, have undergone a forty-year period of growth and change, and now all universities have counselling services which typically focus on short-term counselling interventions and are characterised by high levels of professionalism. Two case studies provide a picture of the situation in Australian universities. One case is that of an older and larger institution recently formed as a multi-campus university by amalgamations and with its main campus in the inner city of Australia's second-largest city. The contrasting case is of a newer, suburban university in one of the smaller capital cities. The challenges facing university counselling services in the future include the continuing pressure for greater accountability, the increasing demands of a multi-cultural clientele, the temptation to take on a wider range of tasks than can be sustained, and its obverse, the risk of over-specialisation.     

Using Statistical Control Charts to Analyze Data from Student Evaluations of Teaching

In this paper, a method for analyzing data from student evaluations of teaching is presented. The first step of the process requires development of a regression model for teacher's summary rating as a function of student's expected grade. Then, two‐sigma control charts for individual evaluation scores (section averages) and residuals from the regression model are used to identify both excellent and poor outcomes. The performance of an individual whose scores are out of control on both charts cannot be explained by expected grade and therefore is worthy of note.