Career Issues and Workplace Considerations for the Transsexual Community: Bridging a Gap of Knowledge for Career Counselors and Mental Heath Care Providers

The field of career counseling has addressed the needs of several minority groups; however, the transsexual community has consistently been overlooked. Transsexual individuals may face many personal and professional obstacles due to the complex psychological aspects and expensive medical procedures inherent in transitioning (the complex and multidimensional process of changing genders). Maintaining employment and a steady income are vital when engaging in this costly transition experience. In this article, the authors bridge a gap of knowledge for career counselors and mental health care providers by identifying possible workplace issues and propose 4 primary competency components. A critique of the current literature, recommendations for counselors, and directions for future research are discussed.     

Environmental Protection,Population Change,and Economic Development in the Rural Western United States

This research analyzes the relationship between protected federal lands (wilderness, national parks, national monuments and roadless areas) and nearby communities in the rural western United States. Opponents of environmental protection claim that protected lands limit the growth of nearby communities by locking up potentially valuable natural resources and restricting mining, logging and grazing. Others claim that extractive industries are no longer the backbone of rural economies— instead, the presence of protected federal lands encourages growth by attracting tourists and new residents. A geographic information system is used to calculate the proportion of protected lands occurring within 50 miles of the center of each western county. This calculation, in combination with detailed county-level data, indicates that environmental protection is correlated with relatively rapid population growth and with relatively rapid income and employment growth.     

Estimating individual-level interaction effects in multilevel models: a Monte Carlo simulation study with application*

Moderated multiple regression provides a useful framework for understanding moderator variables. These variables can also be examined within multilevel datasets, although the literature is not clear on the best way to assess data for significant moderating effects, particularly within a multilevel modeling framework. This study explores potential ways to test moderation at the individual level (level one) within a 2-level multilevel modeling framework, with varying effect sizes, cluster sizes, and numbers of clusters. The study examines five potential methods for testing interaction effects: the Wald test, F-test, likelihood ratio test, Bayesian information criterion (BIC), and Akaike information criterion (AIC). For each method, the simulation study examines Type I error rates and power. Following the simulation study, an applied study uses real data to assess interaction effects using the same five methods. Results indicate that the Wald test, F-test, and likelihood ratio test all perform similarly in terms of Type I error rates and power. Type I error rates for the AIC are more liberal, and for the BIC typically more conservative. A four-step procedure for applied researchers interested in examining interaction effects in multi-level models is provided.     

Effectiveness of Job Aids and Post Performance Review on Staff Implementation of Discrete Trial Instruction

Discrete-trial instruction (DTI) is a well-established instructional method for teaching children with autism. Accurate implementation of DTI procedures requires that staff be well trained. This study examined the effectiveness of job aids followed by post performance review of strengths, errors, and accuracy on discrete trial instructional accuracy in three participants who conducted DTI within their current job positions. Additionally, primary training procedures were embedded within a meta-shaping procedure, which involved the gradual and systematic introduction of three levels of behavioral components required for accurate implementation of the DTI sequence with mastery criteria set at 90% accuracy across all three levels. As demonstrated in a changing criterion within a multiple baseline design, staff demonstrated increases in DTI accuracy following the initiation of the job aid condition; however, some degree of performance-based feedback was required to establish high levels of procedural fidelity across the DTI sequence. Performance accuracy on maintenance probes remained at high levels. These findings provide support that job aids followed by performance-based feedback may be an effective and efficient method for shaping high levels of DTI procedural fidelity in staff. Additionally, gradual shaping of the DTI accuracy may scaffold performance, minimize errors, and increase social validity.     

Correspondence Between Gonadal Steroid Hormone Concentrations and Secondary Sexual Characteristics Assessed by Clinicians,Adolescents, and Parents

Adolescent sexual maturation is staged using Tanner criteria assessed by clinicians, parents, or adolescents. The physiology of sexual maturation is driven by gonadal hormones. We investigate Tanner stage progression as a function of increasing gonadal hormone concentration and compare performances of different raters. Fifty‐six boys (mean age, 12.7 ± 1.3 years) and 52 girls (mean age, 12.0 ± 1.6 years) were seen at baseline, 6 and 12 months. Estradiol and testosterone concentrations were determined from three morning serum samples and Tanner stage by three different raters (clinician, parent, and adolescent). Results confirm that Tanner criteria reflect gonadal hormone concentrations, and clinician rating provides optimal assessment. Detailed insight about the strengths and limitations of different raters is provided, augmenting the scientific understanding of pubertal development.     

Understanding Puberty and Its Measurement: Ideas for Research in a New Generation

The measurement of puberty is an intricate and precise task, requiring a match between participants’ developmental age and appropriate techniques to identify and capture variations in maturation. Much of the foundational work on puberty and its psychosocial correlates was conducted several decades ago. In this article, we review the biological foundation of puberty; the operationalization of puberty in statistical analyses; and strategies for considering diversity and social context in research to help researchers align measurement with meaningful conceptual questions. These three areas are particularly important, given new statistical techniques, greater awareness of individual variations in development, and key differences between past cohorts and youth coming of age today.     

Conceptualizing Puberty as a Window of Opportunity for Impacting Health and Well‐Being Across the Life Span

We promote the perspective that puberty, a separate biological process embedded in adolescence, is a “window of opportunity” for understanding and impacting health and development. First, we include a brief overview of pubertal change. Second, we propose a critical role for puberty in shaping life span health due to its connections with early life precursors, health issues and risks emerging during puberty, and health in young adulthood and beyond. Next, we discuss the importance of puberty measures in developmental research and suggest ways to make the science of puberty an important standalone research entity, as well as an essential component of studies conducted during adolescence. Finally, we discuss measurement issues, novel theoretical models of puberty, and the necessity of adopting an interdisciplinary perspective in research on puberty and in adolescence more broadly.     

Strategies for Assessing and Modeling Depressive Symptoms in Longitudinal Studies of Adolescents

Studying age‐related change in psychosocial behavior is difficult because manifestation differs with development. While the use of age‐appropriate measurement instruments addresses developmental differences, changes in measurement also challenge researchers’ ability to study developmental trajectories. Leveraging 8‐occasion data from 262 girls (baseline ages 11 and 17 years) participating in a cross‐sequential study spanning childhood to adulthood, this paper (1) highlights the needs of developmental researchers seeking to measure change across large swaths of development, (2) forwards an initial formula to convert Beck Depression Inventory‐II scores into Children's Depression Inventory scores and facilitate longitudinal analysis and understanding of how depression develops across adolescence, and (3) suggests collection and analysis of new data that would better facilitate researcher's linking of child‐, adolescent‐, and adult‐oriented measurement instruments.     

Self‐Competence Mediates Earlier and Later Anxiety in Adolescent Mothers: A 3‐Year Longitudinal Perspective

Anxiety is prevalent in adolescents and may be particularly problematic in pregnant adolescents. The purpose of this structural equation modeling analysis was to test a biobehavioral model in which postpartum self‐competence mediated pathways from anxiety and cortisol during pregnancy to anxiety 3 years later. Self‐reports of anxiety and self‐competence and salivary cortisol samples were obtained from 78 healthy primiparous and 57 nonpregnant comparison adolescent girls matched for age and socioeconomic status. Assessments were done during the first half of pregnancy, 3–4 weeks after childbirth, and at a 3‐year follow up. For pregnant girls, linkages from initial anxiety to self‐competence to follow‐up anxiety were significant and negative, as hypothesized. Direct and indirect pathways between initial and follow‐up anxiety were significant. Cortisol levels did not predict self‐competence or anxiety. For nonpregnant adolescents, the model fit poorly. Findings suggest self‐competence may play a mediating role in young mothers' anxiety across time.