Word use of outpatients with a personality disorder and concurrent or previous major depressive disorder

In a recent study, Rude, Gortner, and Pennebaker (2004) found word use to be related to depression and vulnerability to depression in the essays of college students. We sought to replicate and extend these findings in a clinical sample. Written essays of 304 psychiatric outpatients with a personality disorder and a mixed psychiatric profile on DSM-IV axis-I and 108 healthy controls were examined with word count software. Data on the tendency to be discrepant about the current self compared to a more ideal self were also gathered. We found that psychiatric outpatients in general used more words referring to the self and negative emotion words and fewer positive emotion words, compared to healthy controls. However, word-use proved unrelated to depression specifically. Actual-ideal self discrepancies were related to patient status and to current depression. Contrary to our hypothesis, these discrepancies did not correlate with the use of words referring to the self. We conclude that the negative content and self-focus of written essays and high levels of discrepancy reflect a negative thinking style that is common to a range of psychiatric disorders rather than being specific to depression.     

A Bibliometric Analysis of the Quantitative Mental Health Literature in Occupational Therapy

ABSTRACT

A bibliometric analysis was performed to examine the impact and use of the peer-reviewed occupational therapy intervention effectiveness literature addressing adults with mental illness, 2000–2016. Of 2,597 articles, 68 were quantitative studies assessing an intervention for adults with mental illness. These studies had a collective citation count of 1,455 and were published in 29 journals in 14 countries. The majority (n?=?36; 52.94%) were randomized controlled and two-group controlled studies. The most commonly assessed interventions were life skills and community reintegration (n?=?20, 29.41%) and supported employment (n?=?16, 23.52%). Sixty-five (95.58%) studies found statistically significant results on the primary or secondary outcomes.     

The Impact of Item Misspecification and Dichotomization on Class and Parameter Recovery in LCA of Count Data

Mixture analysis of count data has become increasingly popular among researchers of substance use, behavioral analysis, and program evaluation. However, this increase in popularity seems to have occurred along with adoption of some conventions in model specification based on arbitrary heuristics that may impact the validity of results. Findings from a systematic review of recent drug and alcohol publications suggested count variables are often dichotomized or misspecified as continuous normal indicators in mixture analysis. Prior research suggests that misspecifying skewed distributions of continuous indicators in mixture analysis introduces bias, though the consequences of this practice when applied to count indicators has not been studied. The present work describes results from a simulation study examining bias in mixture recovery when count indicators are dichotomized (median split; presence vs. absence), ordinalized, or the distribution is misspecified (continuous normal; incorrect count distribution). All distributional misspecifications and methods of categorizing resulted in greater bias in parameter estimates and recovery of class membership relative to specifying the true distribution, though dichotomization appeared to improve class enumeration accuracy relative to all other specifications. Overall, results demonstrate the importance of accurately modeling count indicators in mixture analysis, as misspecification and categorizing data can distort study outcomes.     

Semantic and syntactic aspects of the mass/count distinction: a case study of semantic dementia

Semantic and syntactic contributions to processing of mass and count nouns were assessed by examining the performance of a patient suffering from a pure semantic deficit. Semantic and syntactic processing was evaluated on grammaticality judgement and sentence-picture matching tasks, respectively, where each task involved mass and count readings of metonymic nouns. While the patient did not show impaired performance on the grammaticality judgment task, he manifested difficulties in making mass/count distinctions in the sentence-picture matching task. It is thus argued that while distributionally the mass/count distinction may be established on a purely syntactic basis, cognitive processing of mass/count information requires both intact syntactic and semantic knowledge.     

The effects of a self-management treatment package on daily step count in university students with depressive symptoms

Research demonstrates that exercise can decrease depressive symptoms, yet it is infrequently prescribed as an intervention. Self-management techniques offer an effective and cost-efficient approach to increase engagement in physical activity. The purpose of this study was to evaluate the efficacy of goal setting, self-monitoring, and feedback for increasing daily step count in university students (N = 4) reporting depressive symptoms. The treatment was efficacious for increasing steps for three participants with varying levels of consistency. All participants showed a decrease in some depression symptoms on the University Student Depression Inventory. Expert ratings on the Clinical Global Impression Scale indicated improvement in global functioning for three participants. Additional research is needed to determine the efficacy of this intervention package for increasing daily steps and the relation to depression symptoms.     

A Two Dimensional Tense-modal Sortal Logic

We consider a formal language whose logical syntax involves both modal and tense propositional operators, as well as sortal quantifiers, sortal identities and (second order) quantifiers over sortals. We construct an intensional semantics for the language and characterize a formal logical system which we prove to be sound and complete with respect to the semantics. Conceptualism is the philosophical background of the semantic system.     

Deflecting Arrow by Aggregating Rankings of Multiple Correlated Criteria According to Borda

This paper has two objectives. The first is to review and address concerns raised by Hazelrigg that Arrow's impossibility theorem prevents the selection of rational aggregation methods for use in engineering trade studies. In addressing these concerns, the work of Saari is cited to establish the fact that the Borda count is the only ‘non‐dictatorial’ positional voting method that satisfies the criteria for a rational decision procedure while using complete information. Hence, the resulting rank ordering of the alternatives is the most reliable outcome. Several previous studies that use other aggregation methods are critiqued, and Borda is applied to examples to illustrate the differences in the outcomes. The second objective is to extend the applicability of Borda to include attributes such as cost, schedule duration, and certain technical and performance measures that are generally more reasonably described as correlated random variables. Exact Probabilities by Simulation with Borda, a method introduced by Hulkower that improves a technique by Book for determining which candidate in a trade study is the probable lowest‐cost alternative, is generalized to include multiple correlated criteria, each of which is expressed as a random variable and thus incorporates probabilistic uncertainty. Copyright © 2016 John Wiley & Sons, Ltd.     

Rotation to simple loadings using component loss functions: The orthogonal case

Component loss functions (CLFs) are used to generalize the quartimax criterion for orthogonal rotation in factor analysis. These replace the fourth powers of the factor loadings by an arbitrary function of the second powers. Criteria of this form were introduced by a number of authors, primarily Katz and Rohlf (1974) and Rozeboom (1991), but there has been essentially no follow-up to this work. A method so simple, natural, and general deserves to be investigated more completely. A number of theoretical results are derived including the fact that any method using a concave CLF will recover perfect simple structure whenever it exists, and there are methods that will recover Thurstone simple structure whenever it exists. Specific CLFs are identified and it is shown how to compare these using standardized plots. Numerical examples are used to illustrate and compare CLF and other methods. Sorted absolute loading plots are introduced to aid in comparing results and setting parameters for methods that require them.The author is very indebted to a reviewer for pointing him to the generalized hyperplane count literature and to all the reviewers for valuable comments and suggestions.     

Estimating latent distributions in recurrent choice data

This paper introduces a flexible class of stochastic mixture models for the analysis and interpretation of individual differences in recurrent choice and other types of count data. These choice models are derived by specifying elements of the choice process at the individual level. Probability distributions are introduced to describe variations in the choice process among individuals and to obtain a representation of the aggregate choice behavior. Due to the explicit consideration of random effect sources, the choice models are parsimonious and readily interpretable. An easy to implement EM algorithm is presented for parameter estimation. Two applications illustrate the proposed approach.