Enjoy! Assertive Language and Consumer Compliance in (Non)Hedonic Contexts

This paper is concerned with the tension between consumer persuasion and freedom of choice. We study how assertive language (as in the slogan Just do it!) affects consumer compliance in hedonic vs. utilitarian contexts. Previous literature consistently claimed that forceful language would cause reactance and decreased compliance. However, we find in four studies that assertive persuasion is effective in contexts involving hedonic goods and hedonically framed utilitarian goods. Our hypotheses emerge from sociolinguistic research and confirm the relevance of linguistic research in consumer behavior

Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

Given the powerful implications of relationship quality for health and well-being, a central mission of relationship science is explaining why some romantic relationships thrive more than others. This large-scale project used machine learning (i.e., Random Forests) to 1) quantify the extent to which relationship quality is predictable and 2) identify which constructs reliably predict relationship quality. Across 43 dyadic longitudinal datasets from 29 laboratories, the top relationship-specific predictors of relationship quality were perceived-partner commitment, appreciation, sexual satisfaction, perceived-partner satisfaction, and conflict. The top individual-difference predictors were life satisfaction, negative affect, depression, attachment avoidance, and attachment anxiety. Overall, relationship-specific variables predicted up to 45% of variance at baseline, and up to 18% of variance at the end of each study. Individual differences also performed well (21% and 12%, respectively). Actor-reported variables (i.e., own relationship-specific and individual-difference variables) predicted two to four times more variance than partner-reported variables (i.e., the partner’s ratings on those variables). Importantly, individual differences and partner reports had no predictive effects beyond actor-reported relationship-specific variables alone. These findings imply that the sum of all individual differences and partner experiences exert their influence on relationship quality via a person’s own relationship-specific experiences, and effects due to moderation by individual differences and moderation by partner-reports may be quite small. Finally, relationship-quality change (i.e., increases or decreases in relationship quality over the course of a study) was largely unpredictable from any combination of self-report variables. This collective effort should guide future models of relationships

Revising working models across time: Relationship situations that enhance attachment security

We propose the Attachment Security Enhancement Model (ASEM) to suggest how romantic relationships can promote chronic attachment security. One part of the ASEM examines partner responses that protect relationships from the erosive effects of immediate insecurity, but such responses may not necessarily address underlying insecurities in a person’s mental models. Therefore, a second part of the ASEM examines relationship situations that foster more secure mental models. Both parts may work in tandem. We posit that attachment anxiety should decline most in situations that foster greater personal confidence and more secure mental models of the self. In contrast, attachment avoidance should decline most in situations that involve positive dependence and foster more secure models of close others. The ASEM integrates research and theory, suggests novel directions for future research, and has practical implications, all of which center on the idea that adult attachment orientations are an emergent property of close relationships

Hydrogen sulfide, trace element and sulfur hexafluoride tracer treatment from the Geysers-Calistoga Geothermal Resource Area based on aircraft and surface sampling

This four-day study has provided initial data regarding the short-range transport of pollutants from The Geysers geothermal operations. The initial analysis of the data has shown that a measureable plume of gaseous sulfur (H{sub 2}S) is emitted from the Geysers and transported by surface and upper-level winds to distances beyond 20 km. Only one day had concentrations above 30 ppB and on this day H{sub 2}S was detected as a distinct odor at 1500 m (m.s.1.) at 4 km or more from the Geysers. The initial data analysis of the H{sub 2}S and SF{sub 6} plume data have revealed the important role that vertical wind shear plays in changing plume trajectories with height and enhancing diffusion of pollutants. Surface and aircraft sampling of aerosols indicate that small quantities of trace elements such as As, Cd, Hg, Pb, Cr and Br may be transported from the area

SITE CHARACTERISATION: ASTRONOMICAL SEEING FROM A TURBULENCE-RESOLVING MODEL

A Lunar Laser Ranging (LLR) system is to form part of geodetic instrumentation to be located at a new fundamental space geodetic observatory for South Africa. For optimal efficiency, LLR requires optical resolution or so-called astronomical seeing conditions of ~1 arc-second in order to deliver usable ranging data. Site characterisation should include a description of astronomical seeing for various locations on-site and overall atmospheric conditions. Atmospheric turbulence degrades astronomical seeing. In-situ methods of determining astronomical seeing are difficult, time-consuming and costly. We propose the use of a turbulence-resolving model to determine and predict astronomical seeing at a site. Large Eddy Simulation NERSC (Nansen Environmental and Remote Sensing Centre) Improved Code (LESNIC) is a turbulence-resolving simulation code which models atmospheric turbulence. It has been used to compile a database of turbulence-resolving simulations, referred to as DATABASE64. This database consists of a collection of LESNIC runs for a stably stratified planetary boundary layer (SBL) over a homogeneous aerodynamically rough surface. Results from DATABASE64 for the nocturnal boundary layer are employed to render profiles of the vertical distribution of optical turbulence (CN 2 profiles). Seeing parameter values are also obtained by making use of DATABASE64 results. The CN 2 profiles and seeing parameter values obtained from DATABASE64 results are compared with general observational results that have been published in the literature. The values obtained are consistent with results from field campaigns as reported. Turbulence-resolving models, such as LESNIC, show potential for delivering and predicting profiles and parameters to characterise astronomical seeing, which are essential prerequisites for establishing an LLR system at the most suitable site and most suitable on-site location. A two-pronged approach is envisaged – in addition to modelling, quantitative seeing measurements obtained with an on-site seeing monitor will be used to verify and calibrate results produced by the LESNIC model.http://www.gssa.org.za/index.php?module=htmlpages&func=display&pid=5nf201

Evidence-Based Systematic Review: Effects of Different Service Delivery Models on Communication Outcomes for Elementary School–Age Children

Purpose: The purpose of this investigation was to conduct an evidence-based systematic review (EBSR) of peer-reviewed articles from the last 30 years about the effect of different service delivery models on speech-language intervention outcomes for elementary school–age students. Method: A computer search of electronic databases was conducted to identify studies that addressed any of 16 research questions. Structured review procedures were used to select and evaluate data-based studies that used experimental designs of the following types: randomized clinical trial, nonrandomized comparison study, and single-subject design study. Results: The EBSR revealed a total of 5 studies that met the review criteria and addressed questions of the effectiveness of pullout, classroom-based, and indirect–consultative service delivery models with elementary school–age children. Some evidence suggests that classroom-based direct services are at least as effective as pullout intervention for some intervention goals, and that highly trained speech-language pathology assistants, using manuals prepared by speech-language pathologists to guide intervention, can provide effective services for some children with language problems. Conclusion: Lacking adequate research-based evidence, clinicians must rely on reason-based practice and their own data until more data become available concerning which service delivery models are most effective. Recommendations are made for an expanded research agenda

Evidence-Based Systematic Review: Effects of Different Service Delivery Models on Communication Outcomes for Elementary School–Age Children

Purpose: The purpose of this investigation was to conduct an evidence-based systematic review (EBSR) of peer-reviewed articles from the last 30 years about the effect of different service delivery models on speech-language intervention outcomes for elementary school–age students. Method: A computer search of electronic databases was conducted to identify studies that addressed any of 16 research questions. Structured review procedures were used to select and evaluate data-based studies that used experimental designs of the following types: randomized clinical trial, nonrandomized comparison study, and single-subject design study. Results: The EBSR revealed a total of 5 studies that met the review criteria and addressed questions of the effectiveness of pullout, classroom-based, and indirect–consultative service delivery models with elementary school–age children. Some evidence suggests that classroom-based direct services are at least as effective as pullout intervention for some intervention goals, and that highly trained speech-language pathology assistants, using manuals prepared by speech-language pathologists to guide intervention, can provide effective services for some children with language problems. Conclusion: Lacking adequate research-based evidence, clinicians must rely on reason-based practice and their own data until more data become available concerning which service delivery models are most effective. Recommendations are made for an expanded research agenda