TL;DR: The authors find that experimental studies using online samples (e.g., MTurk) often violate the assumption of random assignment, because participant attrition-quitting a study before completing it and getting paid-is not only prevalent, but also varies systemically across experimental conditions.
Abstract: The authors find that experimental studies using online samples (e.g., MTurk) often violate the assumption of random assignment, because participant attrition-quitting a study before completing it and getting paid-is not only prevalent, but also varies systemically across experimental conditions. Using standard social psychology paradigms (e.g., ego-depletion, construal level), they observed attrition rates ranging from 30% to 50% (Study 1). The authors show that failing to attend to attrition rates in online panels has grave consequences. By introducing experimental confounds, unattended attrition misled them to draw mind-boggling yet false conclusions: that recalling a few happy events is considerably more effortful than recalling many happy events, and that imagining applying eyeliner leads to weight loss (Study 2). In addition, attrition rate misled them to draw a logical yet false conclusion: that explaining one's view on gun rights decreases progun sentiment (Study 3). The authors offer a partial remedy (Study 4) and call for minimizing and reporting experimental attrition in studies conducted on the Web. (PsycINFO Database Record
TL;DR: Recruitment attrition, program attrition, attendance, and within-session engagement are examined across studies, with particular emphasis on the impact that SES, study purpose, treatment format, and age of child may have on those rates.
Abstract: Engagement in behavioral parent training (BPT), including enrollment, attrition, attendance, within-session engagement, and homework completion, has long been a critical issue in the literature. Several estimates of various aspects of engagement have been suggested in the literature, but a systematic review of the available literature has never been accomplished. This review examines engagement data across 262 studies of BPT. Recruitment attrition, program attrition, attendance, and within-session engagement are examined across studies, with particular emphasis on the impact that SES, study purpose (efficacy vs. effectiveness), treatment format (individual vs. group), and age of child may have on those rates. Results of this review suggest that the significant amount of attrition occurs prior to enrollment in BPT, with at least 25 % of those identified as appropriate for BPT not enrolling in such programs. An additional 26 % begin, but drop out before completing treatment. Still the combined dropout rate of at least 51 % leaves at best half of identified parents completing treatment. While SES status had a small effect on attrition, other variables were not found to meaningfully impact engagement. Information on within-session engagement (homework and ratings of participation) was not often reported in studies. Key issues in this literature (e.g., varying definitions of engagement, limited attention to reporting key aspects of engagement) are discussed, and recommendations are made to further improve this important area of research and clinical practice.
TL;DR: In the below-described tooth wear evaluation system (TWES), all necessary tools for a clinical guideline are present in different modules, which allows the dental clinician, in a general practitioner setting as well as in a referral practice setting, to perform a state-of-the-art diagnostic process.
Abstract: Tooth wear is a multifactorial condition, leading to the loss of dental hard tissues, viz. enamel and dentine. Tooth wear can be divided into the subtypes mechanical wear (attrition and abrasion) and chemical wear (erosion). Because of its multifactorial aetiology, tooth wear can manifest itself in many different representations, and therefore, it can be difficult to diagnose and manage the condition. A systematic approach is a sine qua non. In the below-described tooth wear evaluation system (TWES), all necessary tools for a clinical guideline are present in different modules. This allows the dental clinician, in a general practitioner setting as well as in a referral practice setting, to perform a state-of-the-art diagnostic process. To avoid the risk of a too cumbersome usage, the dental clinician can select only those modules that are appropriate for a given setting. The modules match with each other, which is indispensable and essential when different modules of the TWES are compared. With the TWES, it is possible to recognise the problem (qualifying), to grade its severity (quantifying), to diagnose the likely causes and to monitor (the progress of) the condition. In addition, a proposal for the classification of tooth wear is made. Further, it is possible to determine when to start a treatment, to make the decision which kind of treatment to apply and to estimate the level of difficulty of a restorative treatment.
TL;DR: A meta-analysis of animal reporting and attrition in stroke and cancer suggests that most papers did not adequately report attrition, and extrapolating from the results of the simulation data, it is suggested that their effect sizes were likely overestimated.
Abstract: Given small sample sizes, loss of animals in preclinical experiments can dramatically alter results. However, effects of attrition on distortion of results are unknown. We used a simulation study to analyze the effects of random and biased attrition. As expected, random loss of samples decreased statistical power, but biased removal, including that of outliers, dramatically increased probability of false positive results. Next, we performed a meta-analysis of animal reporting and attrition in stroke and cancer. Most papers did not adequately report attrition, and extrapolating from the results of the simulation data, we suggest that their effect sizes were likely overestimated.
TL;DR: A conceptual framework that analyzes respondent attrition and demonstrates the utility of these methods with existing survey data is proposed and can be used to extract information beyond simple responses, can be useful during survey development, and can help determine the external validity of survey results.
Abstract: Background: Electronic surveys are convenient, cost effective, and increasingly popular tools for collecting information. While the online platform allows researchers to recruit and enroll more participants, there is an increased risk of participant dropout in Web-based research. Often, these dropout trends are simply reported, adjusted for, or ignored altogether. Objective: To propose a conceptual framework that analyzes respondent attrition and demonstrates the utility of these methods with existing survey data. Methods: First, we suggest visualization of attrition trends using bar charts and survival curves. Next, we propose a generalized linear mixed model (GLMM) to detect or confirm significant attrition points. Finally, we suggest applications of existing statistical methods to investigate the effect of internal survey characteristics and patient characteristics on dropout. In order to apply this framework, we conducted a case study; a seventeen-item Informed Decision-Making (IDM) module addressing how and why patients make decisions about cancer screening. Results: Using the framework, we were able to find significant attrition points at Questions 4, 6, 7, and 9, and were also able to identify participant responses and characteristics associated with dropout at these points and overall. Conclusions: When these methods were applied to survey data, significant attrition trends were revealed, both visually and empirically, that can inspire researchers to investigate the factors associated with survey dropout, address whether survey completion is associated with health outcomes, and compare attrition patterns between groups. The framework can be used to extract information beyond simple responses, can be useful during survey development, and can help determine the external validity of survey results. [J Med Internet Res 2016;18(11):e301]
TL;DR: Five themes emerged: overall positive experience with programme; logistical challenges of participation; improved health; discrepancies between child and parent experience and perception, and importance of structure and expectations of weight loss.
Abstract: Paediatric obesity treatment experiences unacceptably high rates of attrition. Few studies have explored parent and child perspectives on dropout. This study sought to capture child and parent experience in treatment and expressed contributors to attrition. Children and parents enrolled in a single family-based weight management programme participated in semi-structured interviews, conducted either upon completion of the first intensive phase of treatment or program dropout. Interviews were recorded, transcribed and coded using a multistage inductive approach. Interviews were obtained from 57 parents and 30 children, nearly equal between 'completers' or 'dropouts'. Five themes emerged: overall positive experience with programme; logistical challenges of participation; improved health; discrepancies between child and parent experience and perception, and importance of structure and expectations of weight loss. Primary reasons given for dropout were time commitment; distance from clinic; missed school and work; lack of dedicated adolescent programme; clinic hours; and stress. Few parents or children expressed dissatisfaction. Children reportedly enjoyed 'having someone to talk to' about weight, and spending increased time with family. Children and parents overall reported positive experiences in this weight management programme. Attrition appears more related to logistical issues than low satisfaction. Innovative approaches to help overcome logistical challenges and preserve positive aspects may help in decreasing programme attrition.
TL;DR: Attrition in a 4-wave, 8-year study of older adults resulted in a sample biased toward more educated and more religiously involved individuals, with no evidence of bias in the key religion and health results.
Abstract: The use of longitudinal designs in the field of religion and health makes it important to understand how attrition bias may affect findings in this area. This study examines attrition in a 4-wave, 8-year study of older adults. Attrition resulted in a sample biased toward more educated and more religiously involved individuals. Conditional linear growth curve models found that trajectories of change for some variables differed among attrition categories. Ineligibles had worsening depression, declining control, and declining attendance. Mortality was associated with worsening religious coping styles. Refusers experienced worsening depression. Nevertheless, there was no evidence of bias in the key religion and health results.
TL;DR: This article explored predictors for online higher education student attrition using the SmarterMeasure Learning Readiness Indicator to track students in their degree programs and found that verbal and physical learning styles and personal attributes such as procrastination increase the likelihood for attrition.
Abstract: Research was conducted to explore predictors for online higher education student attrition. This research was conducted using results from the SmarterMeasure Learning Readiness Indicator to track students in their degree programs. In addition, student outreach was conducted with an experimental group of at-risk students to determine if additional academic support promoted retention. Results demonstrated that verbal and physical learning styles and personal attributes such as procrastination increase the likelihood for attrition, while clear reasons for pursuing a degree and typing skills decrease the likelihood for attrition. Outreach to identified at-risk students did promote greater levels of student success and persistence. Recommendations for future research include comparing results from online and traditional student groups to determine if similar at-risk factors influence the likelihood of student withdrawal, and examining the characteristics of students who withdrawal before completing their first course. Moreover, qualitative research should be conducted to more deeply understand the reasons associated with online program attrition.
TL;DR: In this article, the authors identify baseline and six-month predictors associated with participant attrition across three independent clinical trials of behavioral weight loss interventions (Pthis articleER, SELF, and SMART) that were conducted over 10 years.
TL;DR: Skeptics of the KIPP (Knowledge Is Power Program) network argue that these schools rely on selective admission, attrition, and replacement of students to produce positive achievement results as mentioned in this paper.
Abstract: Skeptics of the KIPP (Knowledge Is Power Program) charter school network argue that these schools rely on selective admission, attrition, and replacement of students to produce positive achievement results.
TL;DR: The results based on data from 1999 to 2012 indicate that there are different nonresponse patterns in the SHP and that attrition is not completely at random, but is related to specific characteristics that are often associated with vulnerability.
Abstract: Panel attrition is one of the main concerns to longitudinal surveys, and may be especially problematic when vulnerable populations are concerned. This study looks into nonresponse and attrition in the Swiss Household Panel (SHP), focusing on the following two questions: (1) To what extent does attrition create bias in means and frequencies, and does weighting correct for this? (2) Are respondents who are at risk of vulnerability more likely to drop out from the SHP compared to others and if so, why? Our results based on data from 1999 to 2012 indicate that there are different nonresponse patterns in the SHP and that attrition is not completely at random, but is related to specific characteristics that are often associated with vulnerability. In particular respondents with a migration background, a low level of education, who are unemployed or whose health status is poor are more likely to drop out. Using weights only partially corrects for the selective dropout. Although general population surveys such as the SHP provide unique opportunities to study vulnerability in the population, researchers should be aware that overall prevalence of vulnerability is most likely underestimated.
TL;DR: The identification of students at risk for attrition provides opportunity for early faculty support and intervention in response to retention issues in online advanced practice nursing programs.
TL;DR: It is suggested that sampling weights and tailored replenishment samples can effectively compensate for attrition effects, and weak to moderate attrition effects were found for men and younger age groups.
Abstract: Background: Attrition bias can affect the external validity of findings. This article analyses attrition bias and assesses the effectiveness of replenishment samples on demographic and smoking-related characteristics for the International Tobacco Control Netherlands Survey, a longitudinal survey among smokers. Methods: Attrition analyses were conducted for the first five survey waves (2008–12). We assessed, including and excluding replenishment samples, whether the demographic composition of the samples changed between the first and fifth waves. Replenishment samples were tailored to ensure the sample remained representative of the smoking population. We also constructed a multivariable survival model of attrition that included all five waves with replenishment samples. Results: Of the original 1820 respondents recruited in 2008, 46% participated again in 2012. Demographic differences between waves due to attrition were generally small and replenishment samples tended to minimize them further. The multivariable survival analysis revealed that only two of the 10 variables analysed were significant predictors of attrition: a weak effect for gender (men dropped out more often) and weak to moderate effects for age (respondents aged 15–24 years dropped out more than aged 25–39 years, who dropped out more than those aged 40+ years). Conclusions: Weak to moderate attrition effects were found for men and younger age groups. This information could be used to minimize respondent attrition. Our findings suggest that sampling weights and tailored replenishment samples can effectively compensate for attrition effects. This is already being done for the International Tobacco Control Netherlands Survey, including the categories that significantly predicted attrition in this study.
TL;DR: This article explored predictors of attrition in families from the Netherlands referred to the evidence-based parenting program Parent-Child Interaction Therapy (PCIT), and found that low parental demandingness and high child compliance before start of treatment were related to early attrition within twelve treatment sessions.
TL;DR: In this paper, the authors report survey research findings, which identify factors related to teacher retention and attrition in Alaskan Arctic Native Communities (AANWC) and conclude that teacher turnover in rural districts is higher than in urban school districts.
Abstract: Limited research is available concerning teacher retention and teacher attrition in Arctic Alaska.┬a This paper reports survey research findings, which identify factors related to teacher retention and attrition in Alaskan Arctic Native┬acommunities. Teacher retention rates (2009-2013) vary widely over time showing no significant trends. Results confirm that teacher turnover in rural districts is higher than in urban school districts.┬aThe authors recognize that teacher retention and attrition are multidimensional issues recommending that better communication patterns and shared responsibilities between rural school districts, local administrators, teachers, community members, and university-based teacher preparation programs be established.
TL;DR: The paucity and weakness of information available makes it unclear as to the attrition and/or success of international accelerated students in nursing programs, and the good information available suggests that accelerated programs may be working reasonably well for the graduate students.
Abstract: There is a comprehensive literature on the academic outcomes (attrition and success) of students in traditional/baccalaureate nursing programs, but much less is known about the academic outcomes of students in accelerated nursing programs. The aim of this systematic review is to report on the attrition and success rates (either internal examination or NCLEX-RN) of accelerated students, compared to traditional students.
TL;DR: The authors found that faculty perceptions aligned within three major categories, termed: motivated student behaviors, formative student learning experiences, and essential student knowledge and skills, and highlighted actions graduate students can take to increase success, such as developing collegial relationships and early involvement in research and scholarly writing.
Abstract: Doctoral attrition consistently hovers around 50% with relevant literature identifying several mediating factors, including departmental culture, student demographics, and funding. To advance this literature, we interviewed 38 graduate faculty advisors in science, engineering, or mathematics disciplines at a research-extensive university to capture their perceptions of factors supporting graduate student success. Using a constant-comparison method, we found that faculty perceptions aligned within three major categories, termed: motivated student behaviors, formative student learning experiences, and essential student knowledge and skills. Student motivation was most prominently represented in findings. This aligns with prior studies showing that faculty tend to identify the cause of graduate student failure as lying within the students themselves and rarely discuss their role or the department’s contribution to attrition. Thus findings offer an opportunity to reflect and improve upon practice. The study also highlights actions graduate students can take to increase success, such as developing collegial relationships and early involvement in research and scholarly writing. We encourage graduate faculty advisors and others to identify ways to help graduate students overcome common obstacles to enduring and succeeding within graduate programs. Faculty perceptions are also examined by discipline and faculty rank, and directions for future research are offered.
TL;DR: In this article, the authors analyzed three post-trial surveys of living lab field trials and found that several factors related to the innovation and the field trial setup play a role in attrition, including the lack of added value of the innovation, and the extent to which the innovation satisfies the needs and time restrictions of test users.
Abstract: Next to active user involvement and a multi-method approach, a third major principle within living lab research consists of capturing the real-life context in which an innovation is used by end users. Field trials are a method to study the interaction of test users with an innovation in the context of use. However, when conducting field trials, there are several reasons why users stop participating in research activities, a phenomenon labelled as attrition. In this article, we elaborate on drop-outs during field trials by analyzing three post-trial surveys of living lab field trials. Our results show that several factors related to the innovation, as well as related to the field trial setup, play a role in attrition, including the lack of added value of the innovation and the extent to which the innovation satisfies the needs and time restrictions of test users. Based on our findings, we provide practical guidelines for managers to reduce attrition during field trials.
TL;DR: Investigating attrition intention amongst senior teachers and senior employees of six other blue- and white-collar occupational categories using the Job Demands-Resources (JD-R) model indicates that there are differences in the determinants of attrition intention between men and women.
Abstract: Teachers are often thought to retire early and have more stress and burnout than other human service professionals In this article, we investigate attrition intention amongst senior teachers and senior employees of six other blue- and white-collar occupational categories using the Job Demands-Resources (JD-R) model We followed a two-step approach First, analysis of variance and logistic regression analysis was used to assess differences in the level of job demands, resources, and attrition intention between occupations for male and female employees separately Subsequently, multiple group path analysis was used to assess the invariance of the JD-R model across occupational groups and genders We used representative data gathered in Flanders among 6,810 senior employees (45 years or older) Results indicate that there are differences in the determinants of attrition intention between men and women The differences in attrition intention are minimal between occupations once controlled for job demands and
TL;DR: In this paper, a systematic review of the attrition and success rates of accelerated students in nursing programs is presented, focusing on the academic outcomes of students in accelerated nursing programs compared to traditional students.
Abstract: Background
There is a comprehensive literature on the academic outcomes (attrition and success) of students in traditional/baccalaureate nursing programs, but much less is known about the academic outcomes of students in accelerated nursing programs. The aim of this systematic review is to report on the attrition and success rates (either internal examination or NCLEX-RN) of accelerated students, compared to traditional students. Methods
For the systematic review, the databases (Pubmed, Cinahl and PsychINFO) and Google Scholar were searched using the search terms ‘accelerated’ or ‘accreditation for prior learning’, ‘fast-track’ or ‘top up’ and ‘nursing’ with ‘attrition’ or ‘retention’ or ‘withdrawal’ or ‘success’ from 1994 to January 2016. All relevant articles were included, regardless of quality.
Results
The findings of 19 studies of attrition rates and/or success rates for accelerated students are reported. For international accelerated students, there were only three studies, which are heterogeneous, and have major limitations. One of three studies has lower attrition rates, and one has shown higher success rates, than traditional students. In contrast, another study has shown high attrition and low success for international accelerated students. For graduate accelerated students, most of the studies are high quality, and showed that they have rates similar or better than traditional students. Thus, five of six studies have shown similar or lower attrition rates. Four of these studies with graduate accelerated students and an additional seven studies of success rates only, have shown similar or better success rates, than traditional students. There are only three studies of non-university graduate accelerated students, and these had weaknesses, but were consistent in reporting higher attrition rates than traditional students. Conclusions
The paucity and weakness of information available makes it unclear as to the attrition and/or success of international accelerated students in nursing programs. The good information available suggests that accelerated programs may be working reasonably well for the graduate students. However, the limited information available for non-university graduate students is weak, but consistent, in suggesting they may struggle in accelerated courses. Further studies are needed to determine the attrition and success rates of accelerated students, particularly for international and non-university graduate students.
TL;DR: There is increasing evidence to suggest if the risk factors are reduced the progression of tooth wear slows and follows a normal pattern of wear, but once teeth become shorter patients often seek advice from dentists on restorative intervention.
Abstract: The management challenge with erosive tooth wear is that the condition involves erosion and contributions from attrition and abrasion, both of which impact on the longevity of restorations. Severe erosive tooth wear results in visibly shorter teeth, exposure of dentine and adaptive changes which complicate restorative management. There is increasing evidence to suggest if the risk factors, such as reducing the frequency of acidic foods and drinks, are reduced the progression of tooth wear slows and follows a normal pattern of wear. But once teeth become shorter patients often seek advice from dentists on restorative intervention. Composite restorations are successful in some patients but they often involve regular maintenance with repairs and rebuilds, which for some patients is unacceptable. Full coverage crowns, although destructive of tooth tissue, remain an option for restorations.
TL;DR: In this article, the influence of temperature on the attrition behavior of commercial methanol-to-olefins (MTO) and fluid catalytic cracking (FCC) catalysts was analyzed in a three-orifice lab-scale fluidized bed device from room temperature to 600 ˚C.
Abstract: Particle attrition is a prevalent problem in fluidized beds due to continuous moving of catalyst particles. It is always operated at high temperature either for lab- or industrial-scale fluidized beds. The influence of temperature on the attrition behavior of commercial methanol-to-olefins (MTO) and fluid catalytic cracking (FCC) catalysts is analyzed in a three-orifice lab-scale fluidized bed device from room temperature to 600 °C. The two catalysts are found to be alike in attrition mode. Both change from a combination of abrasion and fragmentation to main abrasion with increasing temperature, but differ greatly in the variation of attrition index with temperature which may be attributed to the difference of material and particle properties. An empirical correlation of attrition index to attrition temperature for all test samples is proposed.
TL;DR: In this article, the authors investigated the effect of inlet H 2 O concentration and bed temperature on attrition and carbon conversion in steam gasification of a lignite char in a lab-scale fluidized bed.
TL;DR: Study of participants of the 2001–2002 National Epidemiologic Survey on Alcohol and Related Conditions compared attrition in Wave 2 across participants with different patterns of substance use at Wave 1, finding implications of differential follow-up and further possibilities for addressing selective participation.
Abstract: Population-based health studies are critical resources for monitoring population health and related factors such as substance use, but reliable inference can be compromised in various ways. Non-response and attrition are major methodological problems which reduce power and can hamper the generalizability of findings if individuals who participate and who remain in a study differ systematically from those who do not. In this issue of SPPE, McCabe et al. studied participants of the 2001–2002 National Epidemiologic Survey on Alcohol and Related Conditions, comparing attrition in Wave 2 across participants with different patterns of substance use at Wave 1. The implications of differential follow-up and further possibilities for addressing selective participation are discussed.
TL;DR: The minor differences between the completers and the non-completers suggest that retention strategies were successful in a randomized controlled pediatric weight management program (EPOC) study within a tertiary care setting, and further research should focus on prevention of attrition in families with a lower educational background.
Abstract: Attrition is a serious problem in intervention studies. The current study analyzed the attrition rate during follow-up in a randomized controlled pediatric weight management program (EPOC study) within a tertiary care setting. Five hundred twenty-three parents and their 7–13-year-old children with obesity participated in the randomized controlled intervention trial. Follow-up data were assessed 6 and 12 months after the end of treatment. Attrition was defined as providing no objective weight data. Demographic and psychological baseline characteristics were used to predict attrition at 6- and 12-month follow-up using multivariate logistic regression analyses. Objective weight data were available for 49.6 (67.0) % of the children 6 (12) months after the end of treatment. Completers and non-completers at the 6- and 12-month follow-up differed in the amount of weight loss during their inpatient stay, their initial BMI-SDS, educational level of the parents, and child’s quality of life and well-being. Additionally, completers supported their child more than non-completers, and at the 12-month follow-up, families with a more structured eating environment were less likely to drop out. On a multivariate level, only educational background and structure of the eating environment remained significant. The minor differences between the completers and the non-completers suggest that our retention strategies were successful. Further research should focus on prevention of attrition in families with a lower educational background. Current Controlled Trials ISRCTN24655766
. Registered 06 September 2008, updated 16 May 2012.
TL;DR: In this article, the authors compare high school and doctoral dropout rates in Argentina and conclude that student attrition is the result of a process that denies, conceals and minimizes; academic exclusion predominated, while voluntary attrition was exceptionally found.
Abstract: The article reflects critically on school attrition, comparing high school and doctoral dropout rates in Argentina. The theoretical perspective integrates the categories of voluntary attrition and academic exclusion of Tinto (1989) with the concepts of habitus and symbolic violence of Bourdieu (Bourdieu and Passeron, 1981). The reflections arise from the interpretative analysis of attrition experiences in high schools and doctoral programs. This was done by rereading, and making a new coding and categorization of empirical material from two graduate theses in order to compare student attrition situation that have more similarities than differences. Results describe self-sabotaging habitus of dropouts, attrition closing modes, and institutional constraints. This work allows to conclude that student attrition is the result of a process that denies, conceals and minimizes; academic exclusion predominated, while voluntary attrition was exceptionally found. Dropouts used individual strategies, even persisting for several years despite institutional obstacles, personal postponements, and harmful effects on mental health.
TL;DR: The authors found that 85.6 percent of classroom teachers in the Kentucky public school system during four recent school years stayed in the same school from one year to the next, 6.0 percent moved to a different school in the system, and 8.4 percent left the system.
Abstract: • On average, 85.6 percent of classroom teachers in the Kentucky public school system during four recent school years stayed in the same school from one year to the next, 6.0 percent moved to a different school in the system, and 8.4 percent left the system. • Teachers age 31 or younger and teachers age 50 or older left the Kentucky public school system at higher rates (13.0 percent and 9.1 percent) than teachers ages 32–49 (5.0–6.7 percent). • Teachers in public schools serving a larger proportion of students eligible for the school lunch program moved to a different school at a higher rate (7.9 percent) than teachers in schools where a smaller proportion of students were eligible (4.8–5.6 percent). • Teachers left the Kentucky public school system at a similar rate regardless of the characteristics of the schools in which they were employed.
Abstract: Introduction The multi-competence approach views bilingual development as a wholistic process that impacts not only on the linguistic system which is being acquired but on other languages that are already established in the mind/brain (Cook 2012). This perspective implies that the process commonly referred to as first language attrition - the changes to linguistic skills or language proficiency under conditions of reduced use - should be seen as an essential component of this wider picture. The assumption that bilingual development ‘involves the whole mind of the speaker, not simply their first language (L1) or their second’ (Cook 2012, p. 3768) puts developments and changes which occur in the first language while another is being learned or used on an equal footing with the development of the language that is being acquired. This status of processes of change in the first language, however, is not reflected in present-day linguistic research, with investigations of and insights into L1 attrition still lagging far behind the multitude of studies of second language (L2) development. The present contribution will give an overview of research in the field of first language attrition in a migration setting, and try to integrate those findings into the overall multi-competence framework. We would like to point out that, despite the fact that the term attrition is often perceived to imply negative connotations or collocations (cf. war of attrition), we do not use it here with any evaluative implication. On the contrary, in the same way that multi-competence approaches aim to consider L2 users in their own right and deny a special status to the native speaker on the assumption that ‘it is the users’ own language that matters’ (Cook 2012, p. 1), the variety used by the attriter is not to be seen as inferior, reduced or deteriorated: it is simply a system which coexists in the mind/brain, and thus within a larger ‘language supersystem’ with another (possibly dominant) language. We thus feel that, while the original label attrition may have been somewhat unfortunately and inappropriately chosen, it has become such an established term in the intervening years (with more than 5,000 hits on Google Scholar) that it would be counterproductive to change the nomenclature at this point.
TL;DR: The benefits of a behavioral economic approach to modeling employee behavior, how the metrics obtained from the elasticity of workforce attrition analyses may be used to set goals for employee behavior while balancing organizational costs, and how economy type may have influenced observed outcomes are discussed.
Abstract: Incentives are a popular method to achieve desired employee performance; however, research on optimal incentive magnitude is lacking. Behavioral economic demand curves model persistence of responding in the face of increasing cost and may be suitable to examine the reinforcing value of incentives on work performance. The present use-inspired basic study integrated an experiential human operant task within a crowdsourcing platform to evaluate the applicability of behavioral economics for quantifying changes in workforce attrition. Participants included 88 Amazon Mechanical Turk Workers who earned either a $0.05 or $0.10 incentive for completing a progressively increasing response requirement. Analyses revealed statistically significant differences in breakpoint between the two groups. Additionally, a novel translation of the Kaplan-Meier survival-curve analyses for use within a demand curve framework allowed for examination of elasticity of workforce attrition. Results indicate greater inelastic attrition in the $0.05 group. We discuss the benefits of a behavioral economic approach to modeling employee behavior, how the metrics obtained from the elasticity of workforce attrition analyses (e.g., P max ) may be used to set goals for employee behavior while balancing organizational costs, and how economy type may have influenced observed outcomes.
TL;DR: In this article, an attrition rate model that combines the jet attrition and bubble-induced attrition is derived and confirmed to represent the measured total attrition rate versus the superficial gas velocity, and the contribution of jet attrition increases rapidly with increasing the gas velocity.