Challenges to Bridging Field and Classroom Instruction: Exploring Field Instructors’ Perspectives on Macro Practice

Field education and macro practice have been highlighted as central educational domains in social work education; however, little scholarship has looked at how macro social work practice competencies have been integrated into field-based learning. This exploratory study aimed to gain perspectives from field instructors regarding macro social work and the integration of macro practice into their work with practicum students. Consistent with scholarship that has elucidated the impacts of neoliberalism on social work, including the marginalization of macro practice, emergent themes demonstrated that field instructors face barriers to incorporating macro work into their training of students. Challenges include prevalence of the medical model, time constraints, and funding limitations. Further, field instructors observed gaps among students, their university, and their organizational setting in regard to expectations for integrating macro practice into field education. Recommendations and directions for future research are discussed.     

Exact fisher information for censored samples and the extended hazard rate functions

The question of how much information is contained in an ordered observation was studied by Tukey (1964) in terms of a linear sensitivity measure. This paper deals with exact Fisher information for censored data. The concept of hazard rate function is extended and some fundamental moment relations are established between them and the score functions. Some new moment equalities are obtained for the normal and gamma distributions.     

The Modern Call Center: A Multi‐Disciplinary Perspective on Operations Management Research

Call centers are an increasingly important part of today's business world, employing millions of agents across the globe and serving as a primary customer‐facing channel for firms in many different industries. Call centers have been a fertile area for operations management researchers in several domains, including forecasting, capacity planning, queueing, and personnel scheduling. In addition, as telecommunications and information technology have advanced over the past several years, the operational challenges faced by call center managers have become more complicated. Issues associated with human resources management, sales, and marketing have also become increasingly relevant to call center operations and associated academic research. In this paper, we provide a survey of the recent literature on call center operations management. Along with traditional research areas, we pay special attention to new management challenges that have been caused by emerging technologies, to behavioral issues associated with both call center agents and customers, and to the interface between call center operations and sales and marketing. We identify a handful of broad themes for future investigation while also pointing out several very specific research opportunities.     

Hazard ratio inference in stratified clinical trials with time‐to‐event endpoints and limited sample size

The stratified Cox model is commonly used for stratified clinical trials with time‐to‐event endpoints. The estimated log hazard ratio is approximately a weighted average of corresponding stratum‐specific Cox model estimates using inverse‐variance weights; the latter are optimal only under the (often implausible) assumption of a constant hazard ratio across strata. Focusing on trials with limited sample sizes (50‐200 subjects per treatment), we propose an alternative approach in which stratum‐specific estimates are obtained using a refined generalized logrank (RGLR) approach and then combined using either sample size or minimum risk weights for overall inference. Our proposal extends the work of Mehrotra et al, to incorporate the RGLR statistic, which outperforms the Cox model in the setting of proportional hazards and small samples. This work also entails development of a remarkably accurate plug‐in formula for the variance of RGLR‐based estimated log hazard ratios. We demonstrate using simulations that our proposed two‐step RGLR analysis delivers notably better results through smaller estimation bias and mean squared error and larger power than the stratified Cox model analysis when there is a treatment‐by‐stratum interaction, with similar performance when there is no interaction. Additionally, our method controls the type I error rate while the stratified Cox model does not in small samples. We illustrate our method using data from a clinical trial comparing two treatments for colon cancer.     

Assessment of energy balance of Indian farm women in relation to their nutritional profile in lean and peak agricultural seasons

In India, the farm women are not only involved in household activities but also contribute in various farm operations, animal husbandry. The objective was to assess nutritional profile of the farmwomen and their occupational health problems, to compare the physiological workload in lean and peak seasons and to find out relationship between physiological workload and nutritional intake. The study was conducted on a sample of 90 farmwomen. Energy Intake was calculated using physiological fuel values of carbohydrate, fat and protein. Energy Expenditure Rate (EER), Total Energy Expenditure (TEE) and Energy Balance were calculated. The physiological workload was assessed using sub-maximal workload technique. The results revealed that all the respondents of all categories were, more or less, performing all the agriculture, allied and household activities. In all the agriculture activities physiological hazards such as body pain and fatigue were dominant. Dietary, nutritional and energy intake was lower for heavy workers, from all landholding and BMI categories. HR and OCR were in linear relationship in all BMI categories. Physical work capacity increased with good nutritional status and decreased with age. Regression equations were suggested for calculating oxygen consumption (y) at their known heart rate (x) during various agriculture operations.     

A More Powerful Average Bioequivalence Analysis for the 2 × 2 Crossover

The 2 × 2 crossover is commonly used to establish average bioequivalence of two treatments. In practice, the sample size for this design is often calculated under a supposition that the true average bioavailabilities of the two treatments are almost identical. However, the average bioequivalence analysis that is subsequently carried out does not reflect this prior belief and this leads to a loss in efficiency. We propose an alternate average bioequivalence analysis that avoids this inefficiency. The validity and substantial power advantages of our proposed method are illustrated by simulations, and two numerical examples with real data are provided.     

Role of individuals’ virtues in relationship between emotional responses to government’s actions and their consequences

Journal of Management and Governance - In this paper, we aim to investigate the type of emotional responses that are evoked by the government’s actions and whether these emotions lead to...     

A cautionary note on the analysis of randomized block designs with a few missing values

The randomized block design is routinely employed in the social and biopharmaceutical sciences. With no missing values, analysis of variance (AOV) can be used to analyze such experiments. However, if some data are missing, the AOV formulae are no longer applicable, and iterative methods such as restricted maximum likelihood (REML) are recommended, assuming block effects are treated as random. Despite the well-known advantages of REML, methods like AOV based on complete cases (blocks) only (CC-AOV) continue to be used by researchers, particularly in situations where routinely only a few missing values are encountered. Reasons for this appear to include a natural proclivity for non-iterative, summary-statistic-based methods, and a presumption that CC-AOV is only trivially less efficient than REML with only a few missing values (say≤10%). The purpose of this note is two-fold. First, to caution that CC-AOV can be considerably less powerful than REML even with only a few missing values. Second, to offer a summary-statistic-based, pairwise-available-case-estimation (PACE) alternative to CC-AOV. PACE, which is identical to AOV (and REML) with no missing values, outperforms CC-AOV in terms of statistical power. However, it is recommended in lieu of REMLonly if software to implement the latter is unavailable, or the use of a “transparent” formula-based approach is deemed necessary. An example using real data is provided for illustration.     

EMDR在印度

2001年1月印度地震后,40名经过培训的EMDR治疗师援助了1600多人。儿童与成人均出现了PTSD的症状,但未发现人格解体症状。通过分析儿童的画可了解创伤对他们的影响,创伤越严重、丧失越多,个体的情绪就起伏越大,在那些较完整的较大的居民区,存在进一步被毁的威胁,在他们中间不安全感高于那些受破坏较大的地区。