Lander University

In recent years, Mechanical Turk (MTurk) has revolutionized social science by providing a way to collect behavioral data with unprecedented speed and efficiency. However, MTurk was not intended to be a research tool, and many common research tasks are difficult and time-consuming to implement as a result. TurkPrime was designed as a research platform that integrates with MTurk and supports tasks that are common to the social and behavioral sciences. Like MTurk, TurkPrime is an Internet-based platform that runs on any browser and does not require any downloads or installation. Tasks that can be implemented with TurkPrime include: excluding participants on the basis of previous participation, longitudinal studies, making changes to a study while it is running, automating the approval process, increasing the speed of data collection, sending bulk e-mails and bonuses, enhancing communication with participants, monitoring dropout and engagement rates, providing enhanced sampling options, and many others. This article describes how TurkPrime saves time and resources, improves data quality, and allows researchers to design and implement studies that were previously very difficult or impossible to carry out on MTurk. TurkPrime is designed as a research tool whose aim is to improve the quality of the crowdsourcing data collection process. Various features have been and continue to be implemented on the basis of feedback from the research community. TurkPrime is a free research platform.

Amazon Mechanical Turk (MTurk) is widely used by behavioral scientists to recruit research participants. MTurk offers advantages over traditional student subject pools, but it also has important limitations. In particular, the MTurk population is small and potentially overused, and some groups of interest to behavioral scientists are underrepresented and difficult to recruit. Here we examined whether online research panels can avoid these limitations. Specifically, we compared sample composition, data quality (measured by effect sizes, internal reliability, and attention checks), and the non-naivete of participants recruited from MTurk and Prime Panels-an aggregate of online research panels. Prime Panels participants were more diverse in age, family composition, religiosity, education, and political attitudes. Prime Panels participants also reported less exposure to classic protocols and produced larger effect sizes, but only after screening out several participants who failed a screening task. We conclude that online research panels offer a unique opportunity for research, yet one with some important trade-offs.

Three short forms of the Marlowe-Crowne Social Desirability Scale were constructed from the results of principal components analysis (N = 399). Those subscales were compared with short forms developed by previous researchers who used the same methodology. Examination of the subscales indicated that 13 of the scale's 33 items were isolated by at least two of the three reported studies. Those items were used to construct a composite subscale, which appeared to offer a useful alternative to the full scale. Further analysis of the subscale's contents, however, raised questions about the dimensionality of the Marlowe-Crowne scale. Caution was urged in the use and interpretation of both the full inventory and the short form until the meaning of scale scores can be clarified.

A student evaluation of teaching effectiveness (SETE) is often the most influential information in promotion and tenure decision at colleges and universities focused on teaching. Unfortunately, this instrument often fails to capture the lecturer’s ability to foster the creation of learning and to serve as a tool for improving instruction. In fact, it often serves as a disincentive to introducing rigour. This paper performs a qualitative (e.g. case studies) and quantitative (e.g. empirical research) literature review of student evaluations as a measure of teaching effectiveness. Problems are highlighted and suggestions offered to improve SETEs and to refocus teaching effectiveness on outcome‐based academic standards.

Maintaining data quality on Amazon Mechanical Turk (MTurk) has always been a concern for researchers. These concerns have grown recently due to the bot crisis of 2018 and observations that past safeguards of data quality (e.g., approval ratings of 95%) no longer work. To address data quality concerns, CloudResearch, a third-party website that interfaces with MTurk, has assessed ~165,000 MTurkers and categorized them into those that provide high- (~100,000, Approved) and low- (~65,000, Blocked) quality data. Here, we examined the predictive validity of CloudResearch's vetting. In a pre-registered study, participants (N = 900) from the Approved and Blocked groups, along with a Standard MTurk sample (95% HIT acceptance ratio, 100+ completed HITs), completed an array of data-quality measures. Across several indices, Approved participants (i) identified the content of images more accurately, (ii) answered more reading comprehension questions correctly, (iii) responded to reversed coded items more consistently, (iv) passed a greater number of attention checks, (v) self-reported less cheating and actually left the survey window less often on easily Googleable questions, (vi) replicated classic psychology experimental effects more reliably, and (vii) answered AI-stumping questions more accurately than Blocked participants, who performed at chance on multiple outcomes. Data quality of the Standard sample was generally in between the Approved and Blocked groups. We discuss how MTurk's Approval Rating system is no longer an effective data-quality control, and we discuss the advantages afforded by using the Approved group for scientific studies on MTurk.

This research was designed to fill the void in understanding how art–related retailers define and achieve success. A two–phase data collection process was implemented. Preliminary personal interviews were conducted with 12 craft retailers followed by a mailed survey to 1000 craft retailers in nine southeastern U.S. states. Factor analysis was employed to reduce the number of items for defining success. Cluster analysis followed to develop empirical groupings of craft retail businesses based on the success factor scores, of which four different groups were identified. Multivariate analysis of variance (MANOVA) and analysis of variance (ANOVA) were used to compare retail clusters related to business strategy variables of competitive strategies, product assortment, pricing, and distribution strategies, and networking activities. Significant differences were found in the craft retailers’ business strategies used to achieve success. Craft retail entrepreneurs were found to define success with both traditional criteria such as profit and growth and also with intrinsic factors such as personal satisfaction and the opportunity to elevate the craft tradition. Successful small craft retail firms offered more focused product assortments of specialized craft products, implemented more differentiated strategies of stocking unique crafts in their assortments, as well as offering unique services to educate consumers about crafts, craft artisans, and a region’s culture. Craft retailers who reported greater success did not engage in competitive pricing. Collaborative strategies included networking among family, friends, and business peers.

Mechanical Turk (MTurk) is a common source of research participants within the academic community. Despite MTurk's utility and benefits over traditional subject pools some researchers have questioned whether it is sustainable. Specifically, some have asked whether MTurk workers are too familiar with manipulations and measures common in the social sciences, the result of many researchers relying on the same small participant pool. Here, we show that concerns about non-naivete on MTurk are due less to the MTurk platform itself and more to the way researchers use the platform. Specifically, we find that there are at least 250,000 MTurk workers worldwide and that a large majority of US workers are new to the platform each year and therefore relatively inexperienced as research participants. We describe how inexperienced workers are excluded from studies, in part, because of the worker reputation qualifications researchers commonly use. Then, we propose and evaluate an alternative approach to sampling on MTurk that allows researchers to access inexperienced participants without sacrificing data quality. We recommend that in some cases researchers should limit the number of highly experienced workers allowed in their study by excluding these workers or by stratifying sample recruitment based on worker experience levels. We discuss the trade-offs of different sampling practices on MTurk and describe how the above sampling strategies can help researchers harness the vast and largely untapped potential of the Mechanical Turk participant pool.

Senior travellers aged 50 and over served as the focus for an integrated exploration of tourism activities and shopping behaviours. The twofold purpose of the research was to develop profiles of senior travellers based on travel activities and to augment the profiles by comparing and contrasting tourists on shopping variables. Previous scholarship on tourist segmentation, tourism shopping and senior travellers informed the research. A sample of 146 travellers responded to a mail survey addressing their preferences for travel activities and a variety of shopping behaviours during travel. Travel activities factored into outdoors, cultural and sports and entertainment tourism. Factors encompassed both spectator/recreational and social engagement approaches to tourism. Three profiles of senior tourists included ‘active outdoor/cultural tourists’, ‘cultural tourists’ and ‘moderate tourists’. Profiles differed on the importance attached to shopping during travel, likelihood for shopping at retail venues, preferred shopping mall characteristics and sources of travel information about shopping. Scholarly and applied implications are offered.

Despite their enhanced marketplace visibility, validity of wearable photoplethysmographic heart rate monitoring is scarce. Forty-seven healthy participants performed seven, 6-min exercise bouts and completed a valid skin type scale. Participants wore an Omron HR500U (OHR) and a Mio Alpha (MA), two commercial wearable photoplethysmographic heart rate monitors. Data were compared to a Polar RS800CX (PRS). Means and error were calculated between devices using minutes 2-5. Compared to PRS, MA data was significantly different in walking, biking (2.41 ± 3.99 bpm and 3.26 ± 11.38 bpm, p < 0.05) and weight lifting (23.30 ± 31.94 bpm, p < 0.01). OHR differed from PRS in walking (4.95 ± 7.53 bpm, p < 0.05) and weight lifting (4.67 ± 8.95 bpm, p < 0.05). MA during elliptical, stair climbing and biking conditions demonstrated a strong correlation between jogging speed and error (r = 0.55, p < 0.0001), and showed differences in participants with less photosensitive skin.

Abstract Background The higher education literature is replete with deficit-based studies of first-generation college students. By thinking of students’ social relationships as embedded assets, our research adds to an anti-deficit, or asset-based, framing of first-generation students majoring in engineering. Our multi-institution study qualitatively characterizes how the various people (alters) in students’ social networks provide expressive and instrumental social capital that helps students decide to enter and then to persist in undergraduate engineering majors. Our work compares and contrasts social capital assets described by first-generation college students and those described by continuing-generation college students. Results Both first-generation college students and continuing-generation college students described how they leveraged the social capital inherent in their social relationships. In our comparison of the two groups, we found far more similarities than differences in the way participants described their social capital. For example, the network compositions (the specific alters providing resources) were similar for both groups. Both groups reported how parents, family members, peers, middle and high school teachers, individuals associated with science, technology, engineering, and mathematics programs, university professors, academic advisors and other personnel, employers and coworkers, professional organization contacts, and graduate students provided social capital related to major choice and persistence. One difference between the two groups relates to the type of social capital provided by parents and intergenerational family members. First-generation college students described their familial relationships as assets that provided robust emotional support (expressive social capital) while the students decided upon a college major and vigorous encouragement to persist once the students enrolled in undergraduate studies. Continuing-generation college students described their families as providing engineering-specific instrumental actions and information during their selection of a college major, and then familial support changing to that of an expressive nature while the students were enrolled in engineering studies. Conclusions Our findings illustrate that engineering undergraduates’ social relationships and networks are critical to their success in engineering. The relational assets first-generation college students possess support an anti-deficit framing of this group. Our work helps us understand specifically how students gain support from a variety of alters, and it provides implications for how to better support all students’ engineering educational pathways.

This paper introduces Connect, CloudResearch's innovative platform designed to revolutionize the realm of online participant recruitment in social and behavioral science research. Operating as a marketplace, Connect facilitates interactions between researchers and participants, enabling the deployment of surveys and experiments constructed via third-party tools such as Qualtrics, SurveyMonkey, and Google forms. With its current focus on the U.S. demographic (with plans of future expansion to other English-speaking countries) and those aged 18 and above, Connect proves versatile in accommodating a diverse range of studies, including academic, market, and user experience research, as well as machine learning. Connect's uniqueness lies in its tri-fold emphasis on advanced features, data quality, and affordability. Advanced attributes include collaborative tools, a flexible API, and capabilities supporting intricate study designs. To assure impeccable data quality, Connect incorporates Sentry®, CloudResearch’s proprietary participant vetting mechanism, coupled with stringent technical evaluations. Despite these advancements, Connect remains cost-effective, charging researchers the lowest service fee in the online recruitment sector. This paper delves deeper into the platform’s attributes, with particular attention to its emphasis on participant experience, advanced functionalities, and the robust data quality assurance methods in place.

Glyphosate and glyphosate-resistant crops had a revolutionary impact on weed management practices, but the epidemic of glyphosate-resistant (GR) weeds is rapidly decreasing the value of these technologies. In areas that fully adopted glyphosate and GR crops, GR weeds evolved and glyphosate and glyphosate traits now must be combined with other technologies. The chemical company solution is to combine glyphosate with other chemicals, and the seed company solution is to combine glyphosate resistance with other traits. Unfortunately, companies have not discovered a new commercial herbicide mode-of-action for over 30 years and have already developed or are developing traits for all existing herbicide types with high utility. Glyphosate mixtures and glyphosate trait combinations will be the mainstays of weed management for many growers, but are not going to be enough to keep up with the capacity of weeds to evolve resistance. Glufosinate, auxin, HPPD-inhibiting and other herbicide traits, even when combined with glyphosate resistance, are incremental and temporary solutions. Herbicide and seed businesses are not going to be able to support what critics call the chemical and transgenic treadmills for much longer. The long time without the discovery of a new herbicide mode-of-action and the epidemic of resistant weeds is forcing many growers to spend much more to manage weeds and creating a worst of times, best of times predicament for the crop protection and seed industry. © 2016 Society of Chemical Industry.

BACKGROUND: There are currently over 1000 exercise apps for mobile devices on the market. These apps employ a range of features, from tracking exercise activity to providing motivational messages. However, virtually nothing is known about whether exercise apps improve exercise levels and health outcomes and, if so, the mechanisms of these effects. OBJECTIVE: Our aim was to examine whether the use of exercise apps is associated with increased levels of exercise and improved health outcomes. We also develop a framework within which to understand how exercise apps may affect health and test multiple models of possible mechanisms of action and boundary conditions of these relationships. Within this framework, app use may increase physical activity by influencing variables such as self-efficacy and may help to overcome exercise barriers, leading to improved health outcomes such as lower body mass index (BMI). METHODS: In this study, 726 participants with one of three backgrounds were surveyed about their use of exercise apps and health: (1) those who never used exercise apps, (2) those who used exercise apps but discontinued use, and (3) those who are currently using exercise apps. Participants were asked about their long-term levels of exercise and about their levels of exercise during the previous week with the International Physical Activity Questionnaire (IPAQ). RESULTS: Nearly three-quarters of current app users reported being more active compared to under half of non-users and past users. The IPAQ showed that current users had higher total leisure time metabolic equivalent of task (MET) expenditures (1169 METs), including walking and vigorous exercise, compared to those who stopped using their apps (612 METs) or who never used apps (577 METs). Importantly, physical activity levels in domains other than leisure time activity were similar across the groups. The results also showed that current users had lower BMI (25.16) than past users (26.8) and non-users (26.9) and that this association was mediated by exercise levels and self-efficacy. That relationship was also moderated by perceived barriers to exercise. Multiple serial mediation models were tested, which revealed that the association between app use and BMI is mediated by increased self-efficacy and increased exercise. CONCLUSIONS: Exercise app users are more likely to exercise during their leisure time, compared to those who do not use exercise apps, essentially fulfilling the role that many of these apps were designed to accomplish. Data also suggest that one way that exercise apps may increase exercise levels and health outcomes such as BMI is by making it easier for users to overcome barriers to exercise, leading to increased self-efficacy. We discuss ways of improving the effectiveness of apps by incorporating theory-driven approaches. We conclude that exercise apps can be viewed as intervention delivery systems consisting of features that help users overcome specific barriers.

Sequence analysis of human immunodeficiency virus type 1 (HIV-1) from 74 persons with acute infections identified eight strains with mutations in the reverse transcriptase (RT) gene at positions 41, 67, 68, 70, 215, and 219 associated with resistance to the nucleoside analogue zidovudine (AZT). Follow-up of the fate of these resistant HIV-1 strains in four newly infected individuals revealed that they were readily replaced by sensitive strains. The RT of the resistant viruses changed at amino acid 215 from tyrosine (Y) to aspartic acid (D) or serine (S), with asparagine (N) as a transient intermediate, indicating the establishment of new wild types. When we introduced these mutations and the original threonine (T)-containing wild type into infectious molecular clones and assessed their competitive advantage in vitro, the order of fitness was in accord with the in vivo observations: 215Y < 215D = 215S = 215T. As detected by real-time nucleic acid sequence-based amplification with two molecular beacons, the addition of AZT or stavudine (d4T) to the viral cultures favored the 215Y mutant in a dose-dependent manner. Our results illustrate that infection with nucleoside analogue-resistant HIV leads in newly infected individuals to mutants that are sensitive to nucleoside analogues, but only a single mutation removed from drug-resistant HIV. Such mutants were shown to be transmissible, stable, and prone to rapid selection for resistance to AZT or d4T as soon as antiretroviral therapy was administered. Monitoring of patients for the presence of new HIV-1 wild types with D, S, or N residues at position 215 may be warranted in order to estimate the threat to long-term efficacy of regimens including nucleoside analogues.

BACKGROUND: With the increasing number of individuals participating in sports every year, injury - specifically anterior cruciate ligament (ACL) injury - remains an inherent risk factor for participants. The majority of ACL injuries occur from a non-contact mechanism, and there is a high physical and financial burden associated with injury. Understanding the risk factors for ACL injury may aid in the development of prevention efforts. PURPOSE: The purpose of this review was to synthesize and appraise existing literature for risk factors associated with non-contact anterior cruciate ligament (ACL) injury in both sexes. STUDY DESIGN: Systematic review. METHODS: An electronic literature search was conducted utilizing the MEDLINE database and The Cochrane library for articles available through February 2016. All titles and abstracts were reviewed and full text articles meeting eligibility criteria were assessed in detail to determine inclusion or exclusion. Articles reviewed in full text were reviewed for scientific evidence of risk factors for ACL injury. Results from studies were extracted and initially classified as either intrinsic or extrinsic risk factors, and then further categorized based upon the evidence presented in the studies meeting inclusion criteria. Data extracted from eligible studies included general study characteristics (study design, sample characteristics), methodology, and results for risk factors included. RESULTS: Principal findings of this systematic review identified the following risk factors for ACL injury in both sexes: degrading weather conditions, decreased intercondylar notch index or width, increased lateral or posterior tibial plateau slope, decreased core and hip strength, and potential genetic influence. CONCLUSIONS: Neuromuscular and biomechanical risk factors may be addressed through neuromuscular preventative training programs. Though some extrinsic and other inherent physiological factors tend to be non-modifiable, attempts to improve upon those modifiable factors may lead to a decreased incidence of ACL injury. LEVEL OF EVIDENCE: 2a.

Camille T. Dungy's anthology of African American poetry is remarkable as a collection of poetry and as a contribution to ecocriticism. Black Nature contains one hundred and eighty poems by ninety-three authors, ranging from Phillis Wheatley to some of the youngest poets of our own era: Ross Gay, Sean Hill, Kamilah Aisha Moon, and Stephanie Pruitt. It is, as Dungy points out, “the first collection of American nature writing that focuses on poetry written by African Americans,” and it significantly challenges “the propagated belief that black people have little or no creatively intellectual connection to the natural world” (xxviii). Instead of using a chronological structure, Dungy organizes her book's poems into ten thematic cycles that reflect what she recognizes as the dominant trends in African American nature poetry. These cycles are entitled “Just Looking,” “Nature, Be with Us,” “Dirt on Our Hands,” “Pests, People Too,” “Forsaken of the Earth,” “Disasters, Natural and Other,” “Talk of the Animals,” “What the Land Remembers,” “Growing Out of This Land,” and “Comes Always Spring.” In organizing her anthology in these cycles, Dungy illustrates the primary point of the book, which she articulates in her outstanding introduction: some African American nature poetry is similar in its focus and style to conventional Euro-American nature poetry, but a significant amount of it relates to nature in fundamentally different ways. She shows, for instance, that a broad range of poets, such as Ed Roberson, Yusef Komunyakaa, and Helen Johnson, have written observational poems that are quite similar to those of the Euro-American tradition, while others, such as Audre Lorde, Jean Toomer, and Melvin B. Tolson, have written poems that acknowledge a unique relationship with the animal world, while yet others, such as Paul Laurence Dunbar, Douglas Kearney, and Evie Shockley, have written about the ways that nature is freighted, for African Americans, with memories of fear and violence.

Purpose: This study assesses distress/anxiety and predictors of distress/anxiety associated with quarantine due to COVID-19 exposure among the first quarantined community in the US, and to identify potential areas of intervention.Design: An anonymous survey was distributed via community organization distribution lists to approximately 1250 constituents under a quarantine directive.Setting: Members of the first community in the NYC area under quarantine orders due to the 2020 COVID-19 outbreak.Intervention: We sought to uncover the most salient predictors of distress/anxiety in order to recommend specific areas for effective intervention to reduce distressMeasures: We measured distress by using the Subjective Units of Distress Scale and anxiety with the Beck Anxiety Inventory. A variety of psychosocial predictors relevant to the current crisis were explored. Results: 303 individuals responded within 48 hours of survey distribution. Mean levels of distress in the sample were heightened and sustained, with 69% reporting moderate to severe distress. Modifiable behavioral factors, specifically with regard to media exposure and sleep quality, predicted the largest percentage of variance in the sample (41.9%, F (3, 264) = 40.7, R = 0.65, p &amp;lt; .001).Conclusion: Distress levels were markedly elevated among those in quarantine. The highest percentage of distress/anxiety variance was accounted for by modifiable factors amenable to behavioral and psychological interventions, including promoting healthy sleep and curtailing media use. Access to professional mental health care as well as behavioral interventions should be prioritized.

Compares the benefits and consequences of two different educational philosophies adopted by business schools: the customer‐oriented approach and the product‐oriented approach. The customer approach suggests that faculty treat the students as their customers and the product approach requires that faculty treat the students as their products. Under a student‐customer program, enrollment and levels of student satisfaction increase at the expense of learning and program quality. The product approach shifts the focus from student satisfaction to student capabilities and holds business programs responsible for producing knowledgeable, effective students who possess skills and talents valued by public and private corporations.

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Abstract Prior studies have identified the skills and abilities that employers expect graduates of business schools to possess for entry into the workplace. In general, as the business environment changes, the desired skills and abilities of business school graduates change. For this study, we surveyed prospective employers and university faculty on their perceptions of the skills and abilities business school graduates should possess to contribute effectively in the new century. The findings indicate some significant changes in the skills and abilities expected of business school graduates in comparison with earlier studies. Further, some significant differences between prospective employers and faculty are identified.