Application of the Theory of Signal Detectability to Kinesthetic Discrimination Tasks

The psychophysical methods of the theory of signal detectability were applied to the measurement of kinesthetic recognition sensitivity. Subjects (n = 12) were tested on a kinesthetic discrimination apparatus, and were randomly assigned to one of four treatment conditions. Each subject operated under five response criteria which were imposed through a priori probabilities of high and low kinesthetic stimuli. The fundamental assumptions of the theory of signal detectability were tested and the basic premises of normality and equality of variance observed in most cases. A subproblem investigated the relationship between kinesthetic recognition sensitivity and the two independent variables of direction and extent of forearm movement, but no relationship was observed. This study was conducted at Kansas State University under the direction of Richard H. Cox with technical assistance from Harold L. Hawkins. The study was funded by a Faculty Research Grant awarded by Kansas State University.     

Using Multilevel Mixtures to Evaluate Intervention Effects in Group Randomized Trials

There is evidence to suggest that the effects of behavioral interventions may be limited to specific types of individuals, but methods for evaluating such outcomes have not been fully developed. This study proposes the use of finite mixture models to evaluate whether interventions, and, specifically, group randomized trials, impact participants with certain characteristics or levels of problem behaviors. This study uses latent classes defined by clustering of individuals based on the targeted behaviors and illustrates the model by testing whether a preventive intervention aimed at reducing problem behaviors affects experimental users of illicit substances differently than problematic substance users or those individuals engaged in more serious problem behaviors. An illustrative example is used to demonstrate the identification of latent classes, specification of random effects in a multilevel mixture model, independent validation of latent classes, and the estimation of power for the proposed models to detect intervention effects. This study proposes specific steps for the estimation of multilevel mixture models and their power and suggests that this model can be applied more broadly to understand the effectiveness of interventions.     

Causal attribution and punishment for crime

This paper analyzes survey respondent's perceptions of the causes and prescribed punishment for crimes described in 25 vignettes. Respondents’ sociodemographic characteristics, chiefly race, affect the perceived cause, whether personal or environmental. Perceived cause in turn affects severity of punishment, with heavier punishment for crimes attributed to personal traits.     

Context-Dependent Pathways of the Transmission of Risk from Communities to Individuals

Research has consistently documented the role of environmental risk factors in the onset of delinquent behavior among youth. Less is known about the processes through which these contextual risks are translated to individual youth behavior. The aim of the current study is to examine the role of family risk factors in the transmission of community risk. Data was obtained from a nationally representative sample of over 30,000 middle school youth and community key informants (CKI). A multilevel, moderated mediation model was estimated with family risk as the moderator of the effect of CKI ratings of community risk on youth perceptions of risk. Results showed that when youth came from low risk families (measured by parental use of positive family management strategies), youth perceptions of risk mediated the effects of community risk on youth delinquency; however, there was no evidence of a significant mediated effect under conditions of high risk (measured by poor family management). This appears to be because youth from high-risk families perceived their neighborhoods as high-risk, regardless of actual levels of risk (as reported by CKI). This study finds that the relationship between communities and adolescent behavior is complex and interacts with the family environment.     

Methods Used to Document Procedural Fidelity in School-Based Intervention Research

There has been a paucity of guidance on the methodological details needed for measuring and sampling the independent variable or actual intervention occurrences in research and practice. Furthermore, the planning and support necessary to document the independent variable in both circumstances may be considerable. The current study extends prior research by reviewing the methods used to document procedural fidelity in school-based intervention research with student participants published between 2005 and 2012 in journals known for publishing school-related intervention studies. Two hundred sixty-six articles met the inclusion criteria and the majority (70 %) used fidelity data in the analysis of intervention effectiveness. By systematically examining contributions of school-based intervention researchers across targeted variables as well as qualities of interventions and settings, suggestions can be made for (a) planning measurement of fidelity across phases of the intervention, (b) sampling fidelity occurrences, (c) preventing intervention failure by providing needed supports, and (d) responding to patterns of fidelity required for intervention and outcome measurement in both research and practice.