A Future Teachers Conference – A Vehicle to Retain, Inform, and Inspire New and Prospective Teachers

The Los Angeles Collaborative for Teacher Excellence (LACTE) Future Teachers Conference is a day-long learning event for beginning and pre-service K-12 math and science teachers. The Conference provides information, resources and connections tailored to the needs of prospective and new teachers. A unique aspect of the conference is that a group of new and future teachers serve as partners with college faculty on the planning committee. Thus the Conference not only serves to educate new and future teachers, but also provides leadership training for the planning team members; and, the presence of prospective and new teachers on the planning team ensures that the conference sessions effectively target the intended audience\u27s interests. This conference is the most popular activity for new and prospective teachers in the Collaborative. Over the five years the conference has been held, its attendance has grown to 120-150 participants annually. A planning handbook is available to assist anyone interested in organizing a similar event

Litigating in the 21st Century: Amending Challenges For Cause in Light of Big Data

The amount of data generated daily is growing exponentially. The majority of this data is unstructured data. Big Data analytics provides the capability to analyze sets of unrelated data to find hidden and meaningful correlations and predict an individual’s future actions. Therefore, Big Data can alter trial preparation by opening up new sets of information for lawyers to analyze in the jury selection process. Privacy concerns may follow Big Data’s incorporation because Big Data aggregates an individual’s information and predicts future actions. This Comment details how Big Data will provide a net benefit to trial preparation. In order to protect an individual’s right to privacy, however, there should be a statutory change to challenges for cause. This change will safeguard the rights and privacy of individual jurors while simultaneously ensuring that legal professionals, notably in the jury selection process, may utilize Big Data

Experiences Learning English: A Case Study of Adult Immigrants in Portland, Maine, USA

The paper examines the process of English language acquisition for adult immigrants living in Portland, Maine, USA. The focus is on the process of language acquisition and integration into a new linguistic culture through analysis of personally narrated experiences of adult immigrants living in Portland, Maine. It seeks to expose similarities within highly individualistic linguistic journeys that contribute to investment and engagement in learning. In reviewing the data generated by the interviews, I hope to find situations to more deeply explore that could influence a more reciprocal learning culture for the mutual benefit of the language learner and the community at large

The Effect of Answering in a Preferred Versus a Non-Preferred Survey Mode on Measurement

Previous research has shown that offering respondents their preferred mode can increase response rates, but the effect of doing so on how respondents process and answer survey questions (i.e., measurement) is unclear. In this paper, we evaluate whether changes in question format have different effects on data quality for those responding in their preferred mode than for those responding in a non-preferred mode for three question types (multiple answer, open-ended, and grid). Respondents were asked about their preferred mode in a 2008 survey and were recontacted in 2009. In the recontact survey, respondents were randomly assigned to one of two modes such that some responded in their preferred mode and others did not. They were also randomly assigned to one of two questionnaire forms in which the format of individual questions was varied. On the multiple answer and open-ended items, those who answered in a non-preferred mode seemed to take advantage of opportunities to satisfice when the question format allowed or encouraged it (e.g., selecting fewer items in the check-all than the forced-choice format and being more likely to skip the open-ended item when it had a larger answer box), while those who answered in a preferred mode did not. There was no difference on a grid formatted item across those who did and did not respond by their preferred mode, but results indicate that a fully labeled grid reduced item missing rates vis-á-vis a grid with only column heading labels. Results provide insight into the effect of tailoring to mode preference on commonly used questionnaire design features

Necrotizing Fasciitis Following Endoscopic Harvesting of the Greater Saphenous Vein for Coronary Artery Bypass Graft

Clinicians should be aware of this rare, potentially lethal infection following minimally invasive vein harvesting techniques

The Effect of Answering in a Preferred Versus a Non-Preferred Survey Mode on Measurement

Previous research has shown that offering respondents their preferred mode can increase response rates, but the effect of doing so on how respondents process and answer survey questions (i.e., measurement) is unclear. In this paper, we evaluate whether changes in question format have different effects on data quality for those responding in their preferred mode than for those responding in a non-preferred mode for three question types (multiple answer, open-ended, and grid). Respondents were asked about their preferred mode in a 2008 survey and were recontacted in 2009. In the recontact survey, respondents were randomly assigned to one of two modes such that some responded in their preferred mode and others did not. They were also randomly assigned to one of two questionnaire forms in which the format of individual questions was varied. On the multiple answer and open-ended items, those who answered in a non-preferred mode seemed to take advantage of opportunities to satisfice when the question format allowed or encouraged it (e.g., selecting fewer items in the check-all than the forced-choice format and being more likely to skip the open-ended item when it had a larger answer box), while those who answered in a preferred mode did not. There was no difference on a grid formatted item across those who did and did not respond by their preferred mode, but results indicate that a fully labeled grid reduced item missing rates vis-á-vis a grid with only column heading labels. Results provide insight into the effect of tailoring to mode preference on commonly used questionnaire design features

Male/Female Is Not Enough: Adding Measures of Masculinity and Femininity to General Population Surveys

Survey research and sociological theory each provide insights into how and why people and groups act, think, and feel. Sociological theories identify what concepts are important for understanding and representing the social world. That is, sociological theories inform what to measure in surveys, and, to a certain extent, how to measure it. Survey research permits sociologists to carefully specify what is to be measured vis a vis sociological theory, setting surveys apart as a social research tool. It is this level of specification of concepts and measures that allow surveys to provide continued value at a time when “big data” proliferate. High quality survey measurement and estimation is necessary for sociologists to evaluate sociological theory among generalizable samples with well-developed questions, leading to further refinement and improvement of the theory and improved understanding of the social world. High quality surveys also provide insights into where sociological theories fail and where they must be adjusted for different subgroups, as well as basic insights into the prevalence of outcomes of interest. Together, sociological theory and survey methods produce insights about society that can inform decision-making and social policy. This mutually reinforcing relationship between sociological theory and survey methods requires sociological theory to evolve from insights obtained using survey methods and survey measurement to evolve with advances in in sociological theory. The measurement of sex and gender in surveys is one area where the development of survey measures has not kept pace with sociological theory and empirical, largely qualitative, findings. Contemporary gender theory sees sex and gender as separate concepts, both of which are important for understanding behaviors and outcomes. Yet, virtually all contemporary surveys measure sex as a binary “male” versus “female” categorization and fail to measure gender, ignoring important heterogeneity in gender identification that may exist within sex categories and any overlap that may occur across categories. Both gender scholars and survey researchers are potentially affected by this shortcoming of modern survey measurement. Gender scholars lose an important tool for assessing gender theories, especially on generalizable samples, risking conclusions that are specific to a small group of individuals rather than the population at large. Survey researchers risk producing theoretically obsolete data, limiting the utility of the data or potentially generating misleading conclusions. Survey data that fail to capture and reflect modern and complex understandings of our social realities also face increased risk of being replaced by “big data” such as administrative and social media data. Survey data that do reflect modern and complex understandings can bring value not available in administrative or other data and are therefore unlikely to be replaced. This paper is part of a growing chorus advocating for updates to how modern surveys measure sex and gender. We argue that the reliance on a single binary measure of sex (male or female) is out of step with current sociological understandings of sex and gender. In response, we propose and test a new theoretically-informed gradational measure of gender identification in a nationally representative mail survey. We evaluate whether respondents answer the gender measure and examine the reliability and predictive validity of the measure. In particular, we examine whether measuring gender gradationally adds explanatory value beyond sex on important social outcomes such as sexuality, childcare, grocery shopping, housework, working for pay, and military service. We also examine whether sex moderates the effect of gender identification in the ways that sociological theory would suggest on these outcomes

The neurogenic bladder: medical treatment

Neurogenic bladder sphincter dysfunction (NBSD) can cause severe and irreversible renal damage and bladder-wall destruction years before incontinence becomes an issue. Therefore, the first step in adequate management is to recognize early the bladder at risk for upper- and lower-tract deterioration and to start adequate medical treatment proactively. Clean intermittent catheterization combined with anticholinergics (oral or intravesical) is the standard therapy for NBSD. Early institution of such treatment can prevent both renal damage and secondary bladder-wall changes, thereby potentially improving long-term outcomes. In children with severe side effects or with insufficient suppression of detrusor overactivity despite maximal dosage of oral oxybutynin, intravesical instillation is an effective alternative. Intravesical instillation eliminates systemic side effects by reducing the first-pass metabolism and, compared with oral oxybutynin, intravesical oxybutynin is a more potent and long-acting detrusor suppressor. There is growing evidence that with early adequate treatment, kidneys are saved and normal bladder growth can be achieved in children so they will no longer need surgical bladder augmentation to achieve safe urinary continence in adolescence and adulthood

Capturing the Gendiverse: A Test of the Gender Self-Perception Scale, with Implications for Survey Data and Labor Market Measures

This dissertation assesses a new measure of gender. In doing so, it addresses a glaring inconsistency between how sociologists conceptualize gender and how we measure it (i.e., with sex categories) in most quantitative sociological literature. Research that only measures sex effectively hides the variability in individual social identities that is related to sociological outcomes of interest. Unfortunately, most existing quantitative gender scales are impractical for use in large scale data collection. In this work, I investigated the Gender Self-perception Scale (GSPS) as an alternative survey measure of gender using three projects. For the first project (chapter 2), I used the GSPS and sex measures to predict warmth and competence across two data sources Strong associations between sex and gender were found for both groups, but less so for competence than warmth, and gender (as measured by the GSPS) was not fully explained by sex. In the second project (chapter 3), I examined how people define gender, gender identity, and masculinity and femininity, and how they think about two versions of the GSPS using cognitive interviews with 13 cisgender and 7 trans respondents. Results indicated similar understandings of gender by gender status, and an overall positive response to the GSPS. The GSPS appears to capture the degree to which the respondent fulfills social stereotypes, indicating that it may be most beneficial for interactional research. In the final project (chapter 4), I examined the relationship between sex, gender, and work-related outcomes within a high gender minority sample of employed respondents. Neither sex nor the GSPS were consistent predictors across the outcomes of interest, which may indicate a reduction in the impact of these characteristics within the workplace, at least for those privileged in terms of education and occupation as this sample was. Overall, these results point to changing gender norms and expectations, and variability in experiences that are lost when we reduce our analyses to only sex. More research is needed using the GSPS, but it is an option for researchers going forward who would like to measure gender in a parsimonious way. Advisor: Jolene Smyt