‘Let's Talk About Children’: Investigating the Use of a Family‐focused Intervention in the Gambling Support Services Sector

The family‐focused mental health intervention, ‘Let's Talk About Children,’ has positively influenced the lives of families affected by parental mental illness. This paper outlines the use of this brief, strengths‐based intervention for parents with gambling and other co‐occurring issues from the gamblers’ support services sector. Over a six‐month period, a training manual and accompanying resources were adapted for the gamblers’ support services sector and a targeted training session developed. Nine problem gambling counsellors from three Victorian gambling support services trialled the Let's Talk About Children intervention over a four‐month period. Qualitative data were gathered through focus groups, interviews, and practice enquiry groups to determine the impact of the Let's Talk About Children model for gambling support services. The results are presented as ‘practice wisdoms and recommendations’ reporting on the impact of the trial and to provide some guidance to support others in the implementation of a specific family‐focused intervention. This paper reports on the first exploratory trial of Let's Talk About Children for the gambler's support services sector in Australia.     

A Variable Selection Criterion in the Linear Programming Approaches to Discriminant Analysis*

There are numerous variable selection rules in classical discriminant analysis. These rules enable a researcher to distinguish significant variables from nonsignificant ones and thus provide a parsimonious classification model based solely on significant variables. Prominent among such rules are the forward and backward stepwise variable selection criteria employed in statistical software packages such as Statistical Package for the Social Sciences and BMDP Statistical Software. No such criterion currently exists for linear programming (LP) approaches to discriminant analysis. In this paper, a criterion is developed to distinguish significant from nonsignificant variables for use in LP models. This criterion is based on the “jackknife” methodology. Examples are presented to illustrate implementation of the proposed criterion.     

Projective (2n,n,λ,1)-designs

A projective (2n,n,λ,1)-design is a set $\text{D}$ of n element subsets (called blocks) of a 2n-element set V having the properties that each element of V is a member of λ blocks and every two blocks have a non-empty intersection. This paper establishes existence and non-existence results for various projective (2n,n,λ,1)-designs and their subdesigns.     

Assumptions of social mobility research in the U.S.: The case of occupational status

This paper examines the theoretical and empirical basis for common rank-orderings of occupational roles by raters throughout the world. From an illustrative comparison of occupational stratification in Australia and the United States we conclude tentatively that (1) commonalities in the socioeconomic characteristics of occupational roles provide the basis for interplace consistencies in “prestige” scores, (2) the structure of occupational mobility in the U.S. and Australia is largely similar, (3) this similar structure of occupational stratification manifests a common socioeconomic process which defines a (the?) major component of occupational mobility in capitalist, industrial (only?) societies. We infer that “prestige” scores for occupations are fallible estimates of the socioeconomic statuses of occupation, within the context of mobility processes in (at least) the U.S. and Australia.     

The program effect of batterer programs in three cities

Recent meta-analyses and experimental designs of batterer program evaluations suggest little or no program effect. This finding may be compromised by a variety of analytical issues. Instrumental variable analysis addresses some of these issues, especially the relationship of program dropout to batterer reassault. This method of analysis was, therefore, used to test for program effect in a multi-site evaluation. The sites were three well-established batterer programs using a gender-based, cognitive-behavioral approach (n = 640). Completing a batterer program reduced the likelihood of reassault by 44% to 64%, depending on the specification used. Completing a 3-month program appeared to be as effective as completing a 5 1/2- or 9-month program. This moderate effect is an accomplishment considering the problems associated with the program participants and the inconsistency in the criminal justice system at the research sites. The findings remain tentative because of weak instrumental variables for reassault, but do confirm the need for more complex analyses of program effect.