16 research outputs found

    Revised Academic Hardiness Scale Factor Structure in College Students

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    The construct of academic hardiness has gained attention in recent literature as an antecedent of successful academic performance and enrollment in higher education. Although academic hardiness scales have been validated for use with elementary and high school students, none have been examined in college students. The current study investigated the factor structure of the Revised Academic Hardiness Scale using two college student samples. Exploratory analyses found a five-factor structure in a sample of 454 students at a large university. Confirmatory analyses indicated adequate to good model fit for this solution in a sample of 160 students at a small college

    Supplemental Material, Weigold_online_supp - Response Rates for Surveys Completed With Paper-and-Pencil and Computers: Using Meta-Analysis to Assess Equivalence

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    <p>Supplemental Material, Weigold_online_supp for Response Rates for Surveys Completed With Paper-and-Pencil and Computers: Using Meta-Analysis to Assess Equivalence by Arne Weigold, Ingrid K. Weigold, and Sara N. Natera in Social Science Computer Review</p

    Stress-oriented, data-based payment model for machine tools

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    The acquisition costs of expensive machine tools are often a financial challenge for small and medium-sized enterprises, which is why many companies draw on traditional leasing models. For some types of machines, such as milling machines, however, there is no linear relationship between use and wear, thus creating a principle-agent problem and a potentially low(er) residual value of the machine in case of above-average use. Modern machine tools are increasingly equipped with sensors to monitor machining operations. The data from these sensors can help to deduce the wear of its components from the stress on the machine. Nevertheless, this has not resulted in data-driven, alternative payment models of expensive machines. Therefore, this paper presents a novel data-driven payment model based on a so-called stress factor, describing the aggregated machine wear due to the production process. This approach considers the economic and technologic perspectives to bring transparency to machine leasing

    Economic assessment of stress-based payment models

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    For small and medium sized enterprises in volatile markets the acquisition costs for complex machine tools are a financial challenge. Hence, leasing models are an alternative to credit-financed purchases. New flexible pay-per-x payment models are particularly interesting as they typically better align cost and income. Since the residual value of the machine is highly dependent on the wear of components based on usage behavior, our proposed model accounts for a potentially excessive usage resulting in stress for the machine (pay-per-stress) in addition to the actual machining time. To assess the overall economic benefit for the machine user in advance, this paper presents a novel method based on the life cycle costing approach and simulation of usage and wear using historical data from the machine user and the machine supplier

    Paper-and-Pencil and Computer Self-Report Survey Equivalence

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    We conducted a meta-analysis examining the comparability of mean scores for self-report surveys completed via paper-and-pencil and the computer. All 70 effect sizes were from within-subjects design studies. Results indicated equivalence of the two conditions, with little systematic variance across effect sizes

    Pay-per-Stress — Belastungsorientierte Leasingmodelle im Maschinenbau

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    Die hohen Kosten komplexer Werkzeugmaschinen stellen insbesondere kleine und mittlere Unternehmen (KMU) der produzierenden Industrie vor große finanzielle Herausforderungen. Leasingmodelle bieten daher eine wichtige Möglichkeit zur Beschaffung solcher Maschinen. Der Leasingnehmer bezahlt klassisch nach Zeit und hat damit den Anreiz, die eigene Produktivität zu maximieren. Eine kontinuierlich hohe Auslastung oder Überlastung hat eine starke Abnutzung oder sogar nicht unmittelbar sichtbare Schäden zur Folge, die den Restwert der Maschine zum Nachteil des Leasinggebers reduzieren. Der Leasinggeber muss bisher durch diese Informationsasymmetrie eine Risikoprämie aufschlagen, da er die Belastung der Maschine im Leasingzeitraum nicht kontrollieren und den Zustand bei Rückgabe schwierig bemessen kann. Dies führt sowohl zu höheren Kosten und unflexiblen Zahlungsströmen beim Maschinennutzer (Leasingnehmer) als auch zu einer schwierigen Planbarkeit der Zahlungen durch Intransparenz für Leasinggeber und Leasingnehmer. Die Abhängigkeit der Leasingrate von der Belastung der Maschine und dadurch auch indirekt von der Maschinenauslastung hat das Potenzial, das Leasing von komplexen Maschinen effizienter und fairer für alle Partner zu gestalten

    Personal Growth Initiative and Race/Ethnicity: What We Know

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    Personal growth initiative (PGI) refers to an individual’s intentional and active desire to grow in salient domains. A small literature base has emerged examining PGI in racial/ethnic minority groups in the United States. We present about what is known and provide suggestions for future research

    Examination of the Psychometric Properties of the Personal Growth Initiative Scale-II in African American College Students

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    Personal growth initiative (PGI), an individual\u27s active and intentional desire to engage in the growth process, has been an important construct in studies of physical and mental health around the world. However, there is a dearth of research examining this construct in African American samples. In addition, PGI has recently undergone a revision of both its theory and measure; the resulting Personal Growth Initiative Scale-II (PGIS-II) has been validated for use only with European American and international college student samples. The current study examined the psychometric properties of the PGIS-II in a sample of African American college students. Confirmatory factor analyses yielded results consistent with previous studies, and the PGIS-II showed evidence of convergent and discriminant validity for three of its four factors. In addition, the PGIS-II was significantly related to aspects of Black racial identity, suggesting that it is a viable construct in this population
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