A comparison of recent nonparametric methods for testing effects in two-by-two factorial designs

The two-way two-levels crossed factorial design is a commonly used design by practitioners at the exploratory phase of industrial experiments. The F-test in the usual linear model for analysis of variance (ANOVA) is a key instrument to assess the impact of each factor and of their interactions on the response variable. However, if assumptions such as normal distribution and homoscedasticity of errors are violated, the conventional wisdom is to resort to nonparametric tests. Nonparametric methods, rank-based as well as permutation, have been a subject of recent investigations to make them effective in testing the hypotheses of interest and to improve their performance in small sample situations. In this study, we assess the performances of some nonparametric methods and, more importantly, we compare their powers. Specifically, we examine three permutation methods (Constrained Synchronized Permutations, Unconstrained Synchronized Permutations and Wald-Type Permutation Test), a rank-based method (Aligned Rank Transform) and a parametric method (ANOVA-Type Test). In the simulations, we generate datasets with different configurations of distribution of errors, variance, factor's effect and number of replicates. The objective is to elicit practical advice and guides to practitioners regarding the sensitivity of the tests in the various configurations, the conditions under which some tests cannot be used, the tradeoff between power and type I error, and the bias of the power on one main factor analysis due to the presence of effect of the other factor. A dataset from an industrial engineering experiment for thermoformed packaging production is used to illustrate the application of the various methods of analysis, taking into account the power of the test suggested by the objective of the experiment.     

Manufacturing Proactiveness and Performance*

Since Skinner's [40] landmark article depicting the manufacturing function as the “missing link” in corporate strategic processes, a portion of the blame for inferior performance in many firms has been attributed to the subordinate strategic position of manufacturing. It has been argued that part of the solution to misalignments between the capabilities possessed by manufacturing and the requirements dictated by customers is for manufacturing to take a more proactive stance. However, little research has been reported which examines manufacturing proactiveness empirically. In this paper, we address this gap by developing an operational definition of manufacturing proactiveness and testing empirically whether a link exists between proactiveness and performance based on data collected from a sample of manufacturers. Based on the manufacturing strategy literature, we identify two major dimensions of manufacturing proactiveness: (1) the degree of manufacturing's involvement in the strategic processes of the business unit; and (2) the degree of commitment to a long-term program of investments in manufacturing structure and infrastructure aimed at building capabilities in anticipation of their need. We develop reliable scales for measuring each of the dimensions of proactiveness and use the data to provide evidence of a clear link between manufacturing proactiveness and business performance. We show that investments in structural programs coupled with either high levels of manufacturing involvement in strategic processes or planned investments in infrastructural programs correlate with higher than average performance.     

Stressful Life Events Across the Life Span and Insecure Attachment Following Combat Trauma

Attachment orientations are mostly considered to be stable interpersonal patterns. Still, a growing body of literature shows changes in attachment orientations following stressful and traumatic events. This study examined the implications of stressful life events (SLEs) throughout the life cycle in insecure attachment orientations (anxious attachment and avoidant attachment). The sample included 664 Israeli war veterans from the 1982 Lebanon War, of whom 363 suffered from acute combat stress reaction (CSR) on the battlefield, and 301 comprised a matched control group without antecedent CSR. The findings reveal a positive correlation between insecure attachment and both acute (CSR) and chronic (post-traumatic stress disorder) stress reactions. In addition, post-war SLEs were more powerful predictors of insecure attachment than other types of SLEs. Combat exposure, as well as pre-war SLEs in childhood and adulthood, made differential contributions to both types of insecure attachment orientations. Theoretical and practical implications of these findings are discussed.     

A reduced form of the Workplace Bullying Scale – the EAPA-T-R: A useful instrument for daily diary and experience sampling studies

The need for more longitudinal studies (i.e. daily diary and experience sampling studies) focused on counterproductive work behaviours such as bullying requires shorter scales that at the same time do not compromise their content validity. Our main objective is to develop and validate a reduced version of the Workplace Bullying Scale (Escala de Abuso Psicológico Aplicado en el Lugar de Trabajo): the EAPA-T-R. Two studies (Study 1: 1506 and Study 2: 932 employees, respectively) were conducted to evaluate its psychometric properties and to ensure the external validity of the EAPA-T-R. Correlation and regression analyses were performed to reduce the current 12-item scale to a more parsimonious 4-item scale. Moreover, the psychometric properties of potential models were compared. Subsequently, the new scale was assessed using confirmatory factor analysis. Likewise, statistically significant relationships were found between the EAPA-T-R and other dimensions evaluated, such as job characteristics, transformational leadership, engagement, job satisfaction, and subjective performance. Moreover, bullying mediated the relationship between transformational leadership and burnout. To sum up, the EAPA-T-R showed good reliability and validity across studies, supporting its use in future research. The benefits of this short scale for daily diary and experience sampling studies and when using large surveys are discussed.     

Beyond Google: Bibliographic Transformation to Connect Users to Good Content

ABSTRACT

At the 2017 North Carolina Serials Conference, keynote speaker Regina Romano Reynolds—Director, U.S. ISSN Center and Head, ISSN Section at the Library of Congress—explored how bibliographic transformation can connect users to good-quality content. Offering examples of current and potential serials management projects, Reynolds shared her vision for breaking down information silos, experimenting in the resource management space, and the need for visionary leadership.     

Some Correlates of Emotional Well-Being Among New England College Students

Abstract

In a questionnaire survey of New England college students, a large number of undergraduate men and women reported problems related to their personal, social, or academic adjustment. Given a list of 22 items described as “common concerns or feelings experienced by college students,” respondents were asked to rate the extent to which each item had been a problem for them in the past year. Most students (86%) reported having very much or somewhat of a problem with one or more items on the list. Pressure to do well in school, problems with weight control, anxiety, poor concentration and depression were among the most commonly reported concerns. The prevalence of these self-reported concerns and problems was found to be significantly associated with the respondents' sex, their perceptions of their health status, and academic standing.     

Data availability in accounting research: Some evidence

The data availability policy of the American Accounting Association is examined to address two research questions: (1) Are data dependent results in The Accounting Review readily available for further inquiry and dissemination of accounting knowledge? (2) What are the potential factors that may account for the availability or the lack of data? Several potential factors including job rank, number of revisions before acceptance, source of data, and funding source are suggested to account for the lack of data availability. The results indicate that, in general, authors are not willing to make their data available to others. We conclude by suggesting some options that may ameliorate the situation.