Collecting text messages from college students: Evaluating a novel methodology

Social interaction, particularly in older adolescents, increasingly involves computer‐mediated communication. Although studies of public computer‐mediated communication are increasingly common, studies of private text messaging remain rare. As approaches for obtaining such data evolve with technological advances, developmental scientists need designs in which to use such approaches that reduce sampling biases in both participants and text messages. In this study (n = 854; 46% male; 22% African American, 60% European American), we examined selection biases in the participant sample (i.e., factors associated with actual participation), procedural biases in the participant sample (i.e., factors related to failed data capture due to technological or procedural issues), and selection biases in the sample of text messages (i.e., based on self‐reported reasons for texting). Findings from our study suggest that studying human interaction directly through analysis of text message data is not only feasible, but also may be successfully undertaken with minimal biases regarding sample selection and text message selection among those who are engaged in research and engaged in text messaging outside of the study context. However, biases may occur depending on the type of platform (iPhone vs. Android) used by participants for texting.     

Relationships between Sales Management Control, Territory Design, Salesforce Performance and Sales Organization Effectiveness

This research evaluates determinants of sales organization effectiveness in a sample of British companies, and contributes to an important new research stream by following recent empirical studies in the USA and Australia. We discuss a model of sales organization effectiveness determined by salesforce outcome performance and behavioural performance, as well as by the use of a behaviour-based control approach. Sales territory design is also considered as a particularly important managerial variable, which has received little analytical attention in the traditional literature, but which appears to be an important influence on the effectiveness of the sales operation. Our exploratory path analytical model suggests that sales territory design has a large effect on sales organization effectiveness both directly, and indirectly through its relationship with salesforce behavioural performance. These findings are somewhat different to those in similar studies in other countries, and suggest some important implications for managers as well as for researchers in this field.     

Modelling Variability in the Branching Structure of Strawberry Inflorescences

The branching structure of inflorescences of the cultivated strawberry ( Fragaria × ananassa Duch.) is very variable. This paper demonstrates that some aspects of this variability are well described by a simple stochastic model of branching that has two adjustable parameters. The model is shown to provide a good fit to data from a set of almost 700 inflorescences of the cultivar Elsanta, collected over two successive years. For one parameter the maximum likelihood estimator is a moment estimator which is fully efficient even if the detailed branching structure of the inflorescences is not recorded. This parameter provides a convenient summary of branching vigour. The maximum likelihood estimator of the second parameter must be determined iteratively and can be quite inefficient unless the full branching structure is recorded. The model demonstrates that branching structure is affected by the order in which inflorescences emerge on the plant.     

Career decision-making,career exploration behaviors,and self-regulated learning

Helping individuals make a career decision is a key aim of career counseling. Determining how to encourage self-regulated learning and behaviors needed to achieve this goal often underlies career interventions. The English version of the Career Exploration Behavior survey (CEB-E) measures activities individuals engage in to learn about career options. The present study explored the psychometric properties of the CEB and its impact on various career outcomes. In the first study (N = 498), a good-fitting second-order factor model with four group-level scales and loadings was retained as the best model. In the second study (N = 143), convergent validity and incremental validity of the CEB dimensions were explored through correlation and regression analyses. The CEB predicted commitment making, metacognitions, and vocational identity. Results suggest the CEB-E is a psychometrically sound assessment of career exploration behaviors with potential utility for theory development, program evaluation, and monitoring client progress.     

Landscape,vegetation characteristics,and group identity in an urban and suburban watershed: why the 60s matter

As highly managed ecosystems, urban areas should reflect the social characteristics of their managers, who are primarily residents. Since landscape features develop over time, we hypothesize that present-day vegetation should also reflect social characteristics of past residents. Using an urban-to-suburban watershed in the Baltimore Metropolitan Region, this paper examines the relationship between demographics, housing characteristics, and lifestyle clusters from 1960 and 2000 with areas of high woody and herbaceous vegetation cover in 1999. We find that 1960 demographics and age of housing are better predictors of high woody or tree coverage in 1999 than demographics and housing characteristics from 2000. Key variables from 1960 are percent in professional occupations (+), percent of pre-WWI housing (−), percent of post-WWII housing (+), and population density (−). Past and present demographic and housing variables are poor predictors of high herbaceous cover in 1999. Lifestyle clusters for 2000 are very good predictors of high herbaceous coverage in 1999, but lifestyle clusters from 1960 and 2000 are poor predictors of high woody vegetation coverage. These findings suggest that herbaceous or grassy areas, typically lawns, are good reflections of contemporary lifestyle characteristics of residents while neighborhoods with heavy tree canopies have largely inherited the preferred landscapes of past residents and communities. Biological growth time scales of trees and woody vegetation means that such vegetation may outlast the original inhabitants who designed, purchased, and planted them. The landscapes we see today are therefore legacies of past consumption patterns.     

Construct Validity of the Emotion Matching Task: Preliminary Evidence for Convergent and Criterion Validity of a New Emotion Knowledge Measure for Young Children

Current emotion knowledge (EK) measures examine only one component of the multifaceted construct. We examined the reliability and the construct validity of a new measure of EK, the emotion matching task (EMT). The EMT consists of four parts which measure the components of receptive EK, expressive EK, emotion situation knowledge, and emotion expression matching. First, we compared the EMT and its parts to two widely used EK measures—the Kusche emotional inventory (KEI) and Denham's affective knowledge test (AKT, 1986) in order to establish convergent validity. The EMT and its four parts were strongly correlated with both measures of EK. Regression analyses revealed moderate to strong predictive validity for EMT. Compared with KEI and AKT, the EMT was a more robust predictor of teacher-rated emotion regulation and parent reported effortful control. Compared with KEI and AKT, the EMT correlated similarly with verbal ability and age.     

Hypothesis group testing for disjoint pairs

Classical group testing (CGT) is a widely applicable biotechnical technique used to identify a small number of distinguished objects from a population when the presence of any one of these distinguished objects among a group of others produces an observable result. This paper discusses a variant of CGT called group testing for disjoint pairs (GTAP). The difference between the two is that in GTDP, the distinguished items are pairs from, not individual objects in, the population. There are several biological examples of when this abstract model applies. One biological example is DNA hybridization. The presence of pairs of hybridized DNA strands can be detected in a pool of DNA strands. Another situation is the detection of binding interactions between prey and bait proteins. This paper gives a random pooling method, similar in spirit to hypothesis testing, which identifies pairs of objects from a population that collectively have an observable function. This method is simply to apply, achieves good results, is amenable to automation and can be easily modified to compensate for testing errors. M.A. Bishop is supported by AFOSR FA8750-06-C-0007. A.J. Macula is supported by NSF-0436298, AFOSR FA8750-06-C-0007.     

Family-based approach to the child welfare system: an integration of Bowen family theory concepts

The purpose of this article is to apply Bowen family systems theory to work with families involved in the child welfare system. An overview of family systems theory is provided, and then specific tenets of Bowen family systems theory are presented. The authors highlight incidents within the child welfare setting that can be conceptualized through Bowen family therapy terms and concepts. A case study is used to highlight how this theory could be applied in practice. Furthermore, recommendations for child welfare practice and policy implications are discussed, utilizing the lens of a Bowenian family systems approach.