Global coherence in younger and older adults: Influence of cognitive processes and discourse type

The purpose of the present research was to examine the influence of cognitive processes on discourse global coherence ability measured across different discourse tasks and collected from younger (n = 40; 20–39 years) and older (n = 40; 70–87 years) cognitively healthy adults. Study participants produced oral language samples in response to five commonly used discourse elicitation tasks and they were analyzed for maintenance of global coherence. Participants also completed memory and attention measures. Group differences on the global coherence scale were found for only one type of discourse—recounts. Across discourse elicitation tasks the lowest global coherence scores were found for recounts compared to the other discourse elicitation tasks. The influence of cognitive processes on maintenance of global coherence differed for the two age groups. For the younger group, there were no observed significant relationships. For the older group, cognitive measures were related to global coherence of stories and procedures.     

A critical review of relationship quality measures: Is a fresh start needed? An agenda to move forward

Social relationships in and around work are a fundamental building block of organizational life. According to a number of relationship theories, the quality of those relationships is a critical aspect of their influence on a variety of employee and organizational outcomes. Relationship quality is, therefore, one of the most commonly studied constructs in management research. Our paper critically reviews the landscape of relationship quality measures used in management studies, identifying critical issues with how the construct has been conceptualized and measured. To help advance research on the subject and improve measurement, we identify and evaluate 21 relationship quality measures that have been developed for, or used in, management research. Overall, we find that the instruments used to measure relationship quality in management research have significant limitations associated with their conceptualizations and operationalizations. Many of these limitations stem from the fact that most of the measures used to assess the construct were not originally designed to measure relationship quality, which impedes research clarity and implications. We offer a future research agenda and several recommendations for the advancement of management research on relationship quality.     

Validation of the Karitane Parenting Confidence Scale in Measuring Parental Self-Efficacy of Australian Fathers

Journal of Child and Family Studies - Parental Self Efficacy (PSE) is a key predictor of positive parenting practices and child outcomes. The Karitane Parenting Confidence Scale (KPCS) is a global...     

Mixture Modeling Methods for the Assessment of Normal and Abnormal Personality,Part I: Cross-Sectional Models

Over the past 75 years, the study of personality and personality disorders has been informed considerably by an impressive array of psychometric instruments. Many of these tests draw on the perspective that personality features can be conceptualized in terms of latent traits that vary dimensionally across the population. A purely trait-oriented approach to personality, however, might overlook heterogeneity that is related to similarities among subgroups of people. This article describes how factor mixture modeling (FMM), which incorporates both categories and dimensions, can be used to represent person-oriented and trait-oriented variability in the latent structure of personality. We provide an overview of different forms of FMM that vary in the degree to which they emphasize trait- versus person-oriented variability. We also provide practical guidelines for applying FMM to personality data, and we illustrate model fitting and interpretation using an empirical analysis of general personality dysfunction.     

Introduction to the Special Section on Mixture Modeling in Personality Assessment

Latent variable models offer a conceptual and statistical framework for evaluating the underlying structure of psychological constructs, including personality and psychopathology. Complex structures that combine or compare categorical and dimensional latent variables can be accommodated using mixture modeling approaches, which provide a powerful framework for testing nuanced theories about psychological structure. This special series includes introductory primers on cross-sectional and longitudinal mixture modeling, in addition to empirical examples applying these techniques to real-world data collected in clinical settings. This group of articles is designed to introduce personality assessment scientists and practitioners to a general latent variable framework that we hope will stimulate new research and application of mixture models to the assessment of personality and its pathology.     

Explanation,Contrast, and the Primacy of Practice

Abstract: The common practice of giving (comparing, rejecting and inferring) explanations of phenomena is at the root of articulate learning, including the enterprises we collect under the noun ‘science’. The way that practice privileges a single item from the myriad relevant to any phenomenon tells us something about articulateness itself.