Derivation and Implications of MMPI Cluster Groups in Clinically Depressed Inpatient Females

The purpose of this study was to subclassify clinically depressed patients based on a cluster-analytic examination of the MMPI. Subjects were 79 female inpatients with major depression. A cluster analysis of the MMPI validity and clinical scales resulted in three clusters labeled psychotic (287 MMPI profile), hostile (24 MMPI profile), and histrionic (32 MMPI profile) depression. The psychotic group exhibited the greatest depression as measured by the Beck Depression Inventory (BDI). The psychotic and hostile groups, however, did not differ on other associated aspects of depression, such as negative cognitions, nonassertiveness, or personality style. The hostile group reported the fewest physical difficulties and the most excessive alcohol use. The groups, however, did not differ on other aspects of depression history or presentation such as family history of depression or previous hospitalizations. A repeated measures ANOVA for the three cluster groups on the BDI at admission, discharge, and 6 months after discharge indicated that all groups showed improvement at discharge but that only the hostile depressive group continued to show improvement at the 6-month follow-up.     

Domain-specificity in perfectionism: Variations across domains of life

Perfectionism has been assessed in relation to salient or narrow domains within specific populations, yet little is understood across broader domains of life. The aim was to assess positive perfectionism (PP) and negative perfectionism (NP) in five broad domains; university/work, relationships, physical activity, domestic environment and appearance and to determine any gender differences within domains. One hundred and forty four university students (females n = 101; males n = 43) completed a modified perfectionism measure for each domain. Correlations within and between domains for PP and NP ranged from low to moderate with differential patterns by gender, supporting more domain specificity and less of a universal trait. Repeated measures ANOVAs revealed that, overall, PP and NP in the university/work domain was significantly higher than all other domains. Females reported greater PP in the university domain compared to other domains, and more PP in the relationship, domestic environment and appearance domains as compared to the physical activity domain. In contrast, males reported significantly higher PP in the physical activity domain. Females reported significantly higher NP in the university and appearance domains, while males had similar NP across all domains. These findings present a more complex picture of perfectionism with implications for domain-specificity in perfectionistic behavior.     

Measuring Responsiveness in the Therapeutic Relationship: A Patient Perspective

This article reports results from a three-country study of patient perceptions of physician responsiveness. Based on existing research in the medical and social-psychological literatures, we theorized that patients' perceptions of physician responsiveness to their needs would be an important component of the patient–physician relationship and that this construct could be distinguished reliably from more global assessments of patient satisfaction. We then developed a new measure designed to assess these perceptions from the patients' point of view. This measure was administered to large samples of patients in the United States, the United Kingdom, and Canada. Results supported our hypotheses. Patient perception of physician responsiveness significantly predicted both patient satisfaction and subjective health-related problems, over and above effects attributable to general satisfaction. We also noted the absence of significant differences across the three cultures or sex, suggesting that the process we identify has considerable generality. We also describe a short version of our measure that researchers may find useful in a variety of research or clinical settings.     

The Impact of P-hacking on “Redefine Statistical Significance”

In their proposal to “redefine statistical significance,” Benjamin et al. claim that lowering the default cutoff for statistical significance from .05 to .005 would “immediately improve the reproducibility of scientific research in many fields.” Benjamin et al. assert specifically that false positive rates would fall below 10% and replication rates would double under the lower cutoff. I analyze these claims here, showing how the failure to account for P-hacking and other widespread reporting issues leads to exaggerated and misleading conclusions about the potential impact of the .005 proposal.     

Assessing Approximate Fit in Categorical Data Analysis

A family of Root Mean Square Error of Approximation (RMSEA) statistics is proposed for assessing the goodness of approximation in discrete multivariate analysis with applications to item response theory (IRT) models. The family includes RMSEAs to assess the approximation up to any level of association of the discrete variables. Two members of this family are RMSEA₂, which uses up to bivariate moments, and the full information RMSEA_n. The RMSEA₂ is estimated using the M₂ statistic of Maydeu-Olivares and Joe (2005, 2006), whereas for maximum likelihood estimation, RMSEA_n is estimated using Pearson's X² statistic. Using IRT models, we provide cutoff criteria of adequate, good, and excellent fit using the RMSEA₂. When the data are ordinal, we find a strong linear relationship between the RMSEA₂ and the Standardized Root Mean Squared Residual goodness-of-fit index. We are unable to offer cutoff criteria for the RMSEA_n as its population values decrease as the number of variables and categories increase.     

Birth of an Abstraction: A Dynamical Systems Account of the Discovery of an Elsewhere Principle in a Category Learning Task

Human participants and recurrent (“connectionist”) neural networks were both trained on a categorization system abstractly similar to natural language systems involving irregular (“strong”) classes and a default class. Both the humans and the networks exhibited staged learning and a generalization pattern reminiscent of the Elsewhere Condition (Kiparsky, 1973). Previous connectionist accounts of related phenomena have often been vague about the nature of the networks’ encoding systems. We analyzed our network using dynamical systems theory, revealing topological and geometric properties that can be directly compared with the mechanisms of non‐connectionist, rule‐based accounts. The results reveal that the networks “contain” structures related to mechanisms posited by rule‐based models, partly vindicating the insights of these models. On the other hand, they support the one mechanism (OM), as opposed to the more than one mechanism (MOM), view of symbolic abstraction by showing how the appearance of MOM behavior can arise emergently from one underlying set of principles. The key new contribution of this study is to show that dynamical systems theory can allow us to explicitly characterize the relationship between the two perspectives in implemented models.     

Noncompliance in hemodialysis patients as measured with the MBHI

Abstract

Fifteen patients beginning maintenance hemodialysis due to renal failure were administered the Millon Behavioral Health Inventory, the Family Environment Scale and Beck Depression Inventory at the outset of treatment. They were then followed regarding their compliance with fluid, diet and medication, using weight change and serum potassium and phosphorus levels. Statistically significant differences were found on independence/dependence conflicts and between patients showing at least moderate noncompliance with weight and/or phosphorus limitations. Significantly higher levels of depression were associated with consistently poorer compliance patterns.     

Risk for Injury in Preschoolers: Relationship to Attention Deficit Hyperactivity Disorder

Parental ratings of preschoolers’ risk for injury, direct assessment of preschoolers’ behavior thought related to risk for injury (e.g., Inattention, impulsivity) and number of documented injuries were examined in preschoolers with Attention Deficit Hyperactivity Disorder (ADHD) and their non-ADHD peers (Control). Of preschoolers with ADHD, 58.3% exhibited behavior which placed them at-risk for physical injury (0% Control), and their performance was significantly poorer on clinic-based tests. Nonetheless, preschoolers with ADHD did not actually sustain significantly more injuries which warranted medical treatment in an emergency department. Although preschoolers with ADHD may be at increased risk for minor injuries, further research is needed to determine whether they more frequently sustain more serious injuries.