Enrollment in an Established System of Care: A Replication and Extension of Clinical Profiles at Service Intake

We replicated Rosenblatt et al.'s (1998) cluster analysis of intake profiles of youth enrolled in a system of care program. The characteristics of a unique sample of 275 children and adolescents with emotional and behavioral disorders (E/BD) who participated in the Santa Barbara County Multiagency Integrated System of Care (MISC) program were examined. A two-step clustering procedure (hierarchical and K-means) was used to evaluate subtypes of youth who were opened to MISC after it had become a stable youth-service program. The results of the Rosenblatt et al. (1998) study were replicated with four identical clusters emerging: Troubled, Troubled and Troubling, Troubling, and At-Risk. Two additional clusters were differentiated: Moderate Troubled, and Moderate Troubled and Troubling. Comparisons across these six clusters show distinct profiles of youth with E/BD. Implications of these findings for developing appropriate service plans and for evaluating systems of care outcomes are discussed.     

The structure of equivalence classes

THE STRUCTURE OF EQUIVALENCE CLASSES CAN BE COMPLETELY DESCRIBED BY FOUR PARAMETERS: class size, number of nodes, the distribution of "singles" among nodes, and directionality of training. Class size refers to the number of stimuli in a class. Nodes are stimuli linked by training to at least two other stimuli. Singles are stimuli linked by training to only one other stimulus. The distribution of singles refers to the number of singles linked by training to each node. Directionality of training refers to the use of stimuli as samples and as comparison stimuli in training. These four parameters define the different ways in which the stimuli in a class can be organized, and thus provide a basis for systematically characterizing the properties of stimuli in a given equivalence class. The four parameters can also be used to account for the development of individual differences that are commonly characterized in terms of "understanding" and connotative meaning.Methods are described for generating all possible combinations of parameter values, and a formula is introduced which specifies all of the parameter values for an equivalence class. Its utility for interrelating experimental procedures is demonstrated by analyzing a number of representative experiments that have addressed equivalence-class formation.     

A comparison of the classification capabilities of the 1-dimensional kohonen neural network with two pratitioning and three hierarchical cluster analysis algorithms

Neural Network models are commonly used for cluster analysis in engineering, computational neuroscience, and the biological sciences, although they are rarely used in the social sciences. In this study we compare the classification capabilities of the 1-dimensional Kohonen neural network with two partitioning (Hartigan and Späthk-means) and three hierarchical (Ward's, complete linkage, and average linkage) cluster methods in 2,580 data sets with known cluster structure. Overall, the performance of the Kohonen networks was similar to, or better than, the performance of the other methods.     

Illness perception patterns in patients with Coronary Artery Disease

The purpose of this study is to identify patterns of illness perception in patients with angiografically verified Coronary Artery Disease. A total of 166 patients (age: 64.4 ± 12.1, 80.7% male) were recruited after angiography. Cluster analysis on the items of the Brief Illness Perception Questionnaire was used to identify patterns of illness perception. The resulting groups were characterized with regard to Quality of Life (MacNew), anxiety and depression (GAD-7 and PHQ-9) and resilience (RS-13). The analysis revealed 4 distinct groups differing with regard to the items covering the perception of the physical and emotional impact of disease. Stronger perceptions in these domains were associated with lower Health Related Quality of Life and higher levels of emotional distress. Group 1 (33.1%) reported the strongest perceptions of the physical and emotional impact of disease and expressed low treatment control, high chronic timeline and significantly higher levels of depression than the other groups. Group 2 (27.7%) was characterized by more moderate perceptions of the emotional and physical impact of disease together with low scores on illness coherence and chronic timeline. Groups 3 (25.3%) and 4 (13.9%) reported smaller physical and emotional impact of illness but differed in chronic timeline. Our results correspond largely to recent findings in patients with other chronic diseases. Further research is needed to explore if stratification of patients according patterns of illness perception can help to inform patient–physician communication strategies.     

A taxonomy for financial services selling

The financial services industry accounts for almost half of the country’s nonfarm, commercial profit, making the industry a major driver of the economy. Prior to this study, limited information was available to evaluate financial services sales activities, and a taxonomy of sales activities for individuals in the financial services industry had not previously been conducted. Prior empirically developed sales taxonomies did not include service firms and specifically financial services, while focusing on manufacturing and other product sales. Given that taxonomies are a critical step in scientific inquiry, this is a major limitation in the literature hindering the development of a better understanding of this important industry. Using an established methodology and a seminal sales taxonomy, a financial services sales taxonomy was conducted. Results reflect that financial services sales positions differ from those in other industries. Six sets of sales activities (factors) along with six job positions (clusters) were identified.     

Validating Clusters with the Lower Bound for Sum-of-Squares Error

Given that a minor condition holds (e.g., the number of variables is greater than the number of clusters), a nontrivial lower bound for the sum-of-squares error criterion in K-means clustering is derived. By calculating the lower bound for several different situations, a method is developed to determine the adequacy of cluster solution based on the observed sum-of-squares error as compared to the minimum sum-of-squares error. The author was partially supported by the Office of Naval Research Grant #N00014-06-0106.     

Differentiating Procrastinators from Each Other: A Cluster Analysis

Procrastination refers to the tendency to postpone the initiation and completion of a given course of action. Approximately one-fifth of the adult population and half of the student population perceive themselves as being severe and chronic procrastinators. Albeit not a psychiatric diagnosis, procrastination has been shown to be associated with increased stress and anxiety, exacerbation of illness, and poorer performance in school and work. However, despite being severely debilitating, little is known about the population of procrastinators in terms of possible subgroups, and previous research has mainly investigated procrastination among university students. The current study examined data from a screening process recruiting participants to a randomized controlled trial of Internet-based cognitive behavior therapy for procrastination (Rozental et al., in press). In total, 710 treatment-seeking individuals completed self-report measures of procrastination, depression, anxiety, and quality of life. The results suggest that there might exist five separate subgroups, or clusters, of procrastinators: “Mild procrastinators” (24.93%), “Average procrastinators” (27.89%), “Well-adjusted procrastinators” (13.94%), “Severe procrastinators” (21.69%), and “Primarily depressed” (11.55%). Hence, there seems to be marked differences among procrastinators in terms of levels of severity, as well as a possible subgroup for which procrastinatory problems are primarily related to depression. Tailoring the treatment interventions to the specific procrastination profile of the individual could thus become important, as well as screening for comorbid psychiatric diagnoses in order to target difficulties associated with, for instance, depression.     

What determines auditory similarity? The effect of stimulus group and methodology

Two experiments on the internal representation of auditory stimuli compared the pairwise and grouping methodologies as means of deriving similarity judgements. A total of 45 undergraduate students participated in each experiment, judging the similarity of short auditory stimuli, using one of the methodologies. The experiments support and extend Bonebright's (1996) findings, using a further 60 stimuli. Results from both methodologies highlight the importance of category information and acoustic features, such as root mean square (RMS) power and pitch, in similarity judgements. Results showed that the grouping task is a viable alternative to the pairwise task with N > 20 sounds whilst highlighting subtle differences, such as cluster tightness, between the different task results. The grouping task is more likely to yield category information as underlying similarity judgements.     

A Person‐oriented Approach to Identifying Parenting Styles in Mothers of Early School‐age Children

A substantial body of work has been dedicated to understanding the behaviours that characterize mothers' interactions with their children. Most research on parenting has used a variable‐oriented approach, limiting analysis to one or a few parenting behaviours and failing to identify higher‐order interactions or patterns among variables. Thus, little is known about how different behaviours co‐occur in individual mothers to form styles of parenting. In this study, a person‐oriented approach was used to develop a typology of maternal parenting styles based on a broad range of observed and self‐reported parenting behaviours. The study sample consisted of 408 socio‐demographically diverse mother–child pairs. Cluster analysis revealed six parenting groups—(1) balanced parenting; (2) warm/involved parenting; (3) task‐focused parenting; (4) detached/inconsistent parenting; (5) intrusive parenting; and (6) self‐critical parenting—two of which (task‐focused and self‐critical parenting) have not been previously represented in the parenting literature. The maternal parenting typology developed through this study provides useful information on the profiles of parenting behaviour that are associated with the highest levels of demographic and psychological risk in mothers who exhibit these profiles. Copyright © 2014 John Wiley & Sons, Ltd.     

Making Sense of Climate Change: How Story Frames Shape Cognition

In 2006, Adam J. Berinsky and Donald R. Kinder published findings in the Journal of Politics that demonstrated that framing news as a story influences how individuals cognitively organize concepts and information. The study presented here moves forward in this tradition. This research combines samples obtained in the springs of 2009 and 2010 while conducting online experiments. In these experiments, slightly over 2,000 respondents are asked to organize concepts presented in one of three culturally nuanced stories about climate change or where information is presented as a list. Hierarchical cluster analysis indicates that when respondents are exposed to culturally congruent stories, respondent organizational patterns are more likely to mirror the story. We discuss the implications of these findings.