Statistical analyses for round robin interaction data

This paper considers the analysis of round robin interaction data whereby individuals from a group of subjects interact with one another, producing a pair of outcomes, one for each individual. The authors provide an overview of the various analyses applied to these types of data and extend the work in several directions. In particular, they provide a fully Bayesian analysis for such data and use a real data example for illustration purposes.     

Recalling a Difficult Past: Whites’ Memories of Birmingham*

This article examines the intersection between collective memory and autobiographical memory through in‐depth interviews with twenty whites who came of age in the midst of key events in the Civil Rights Movement in Birmingham, Alabama. Most interviewees report few autobiographical memories of the events of the Civil Rights Movement and the racial conflict surrounding these events. Instead, many center their recollections on the bombing of the Sixteenth Street Baptist Church. The forgetting of autobiographical memories has been aided by a coalition of silence among whites about the era of integration and by reiterated media images that shaped recollections of the past. These white southerners have been able to renarrativize their pasts to forget memories that link them with the ideology of segregation and to reconstruct the self to be usable in the present. The article demonstrates ways that autobiographical memory is a social construction rather than an act of retrieval.     

High wage workers and low wage firms: negative assortative matching or limited mobility bias?

Summary.  In the empirical literature on assortative matching using linked employer–employee data, unobserved worker quality appears to be negatively correlated with unobserved firm quality. We show that this can be caused by standard estimation error. We develop formulae that show that the estimated correlation is biased downwards if there is true positive assortative matching and when any conditioning covariates are uncorrelated with the firm and worker fixed effects. We show that this bias is bigger the fewer movers there are in the data, which is 'limited mobility bias'. This result applies to any two-way (or higher) error components model that is estimated by fixed effects methods. We apply these bias corrections to a large German linked employer–employee data set. We find that, although the biases can be considerable, they are not sufficiently large to remove the negative correlation entirely.     

Estimates of human immunodeficiency virus prevalence and proportion diagnosed based on Bayesian multiparameter synthesis of surveillance data

Summary.  Estimates of the number of prevalent human immunodeficiency virus infections are used in England and Wales to monitor development of the human immunodeficiency virus–acquired immune deficiency syndrome epidemic and for planning purposes. The population is split into risk groups, and estimates of risk group size and of risk group prevalence and diagnosis rates are combined to derive estimates of the number of undiagnosed infections and of the overall number of infected individuals. In traditional approaches, each risk group size, prevalence or diagnosis rate parameter must be informed by just one summary statistic. Yet a rich array of surveillance and other data is available, providing information on parameters and on functions of parameters, and raising the possibility of inconsistency between sources of evidence in some parts of the parameter space. We develop a Bayesian framework for synthesis of surveillance and other information, implemented through Markov chain Monte Carlo methods. The sources of data are found to be inconsistent under their accepted interpretation, but the inconsistencies can be resolved by introducing additional 'bias adjustment' parameters. The best-fitting model incorporates a hierarchical structure to spread information more evenly over the parameter space. We suggest that multiparameter evidence synthesis opens new avenues in epidemiology based on the coherent summary of available data, assessment of consistency and bias modelling.     

Understanding Management Performance

Current models of the factors underlying management performance make use of a variety of variables at different levels of analysis. A framework is presented in which variables of three different types are linked together. Using data from a sample (n = 437) of British managers this article explores relationships between personality factors (using the big-five factors), work competencies and managerial performance. Results from the analyses reveal a set of underlying competency factors, which show different patterns of correlation with two facets of performance: current proficiency and promotability. In turn, these factors and the facets of performance show relationships with the big-five personality factors. Current proficiency is more closely related to competencies of organization, specialization and analysis – competencies more likely to be displayed by people who are conscientious and introverted. Promotability is linked more closely to competencies concerning action/motivation, flexibility/sensitivity and communication – competencies more likely to be displayed by people who are extroverted with lower conscientiousness and agreeableness.     

The impact of external,internal, and dual relational embeddedness on the innovation performance of foreign subsidiaries: Evidence from a developing country

As parts of a global network, foreign-owned subsidiaries enjoy privileged access to knowledge sources both internal (within their multinational group) and external (involving other organizations in the host location), and this has proven especially relevant in their assumption of greater creative responsibilities that increase the technological capabilities of their multinational group. This study investigates whether external and internal relational embeddedness are mutually reinforcing (complementary) or whether they act separately in explaining superior innovation performance of foreign-owned subsidiaries in terms of a greater propensity to obtain radical innovations. The empirical analysis uses both direct and indirect tests to evaluate the complementarity, as well as a rich firm-level panel data on foreign subsidiaries, extracted from a census of Colombian manufacturing firms for the period 2008–2014. Our findings reveal that external relational embeddedness in isolation (without internal embeddedness) has a positive impact on performance only in terms of incremental innovation, while internal embeddedness alone (without external embeddedness) has no effect on the innovation performance of subsidiaries. However, we find that a complementary and dynamic relationship exists between external and internal linkages to spur radical innovation outcomes, which in turn are related to the competence-creating roles in foreign subsidiaries as prior literature has shown.     

Lawler’s minmax cost problem under uncertainty

The well-known \(O(n^2)\) minmax cost algorithm of Lawler (Manag Sci 19(5):544–546, 1973) was developed to minimize the maximum cost of jobs processed by a single machine under precedence constraints. We first develop a fast updating algorithm to obtain optimal solutions for two neighboring instances. This method will be used throughout this article. Then we consider job cost functions that depend on the completion time and on one or more additional numerical parameters. The parameters are uncertain and take values from given intervals. Under the uncertainty, we apply the minmax regret criterion for choosing a solution. We generalize results by Brauner et al. (J Sched, 2015) for decomposable cost functions with deterministic processing times and a single uncertain parameter to general cost functions. We describe different conditions, under which minmax regret solutions can be obtained with the time complexity \(O(n^3)\) or \(O(n^2)\). Then the updating algorithm is applied to the lateness model by Kasperski (Oper Res Lett 33:431–436, 2005) where both the processing time and the due date of each job are uncertain. The original \(O(n^4)\) running time is improved to the time complexity \(O(n^3)\). Finally, we extend the cost functions with a single uncertain parameter to those with a vector of additional uncertain parameters, improve one of the complexity results by Volgenant and Duin (Comput Oper Res 37:909–915, 2010) and solve some new problems.     

Children and Young People “In Care” Participating in a Peer‐Mentoring Relationship: An Exploration of Resilience

The aim of this study was to explore how a 1‐year peer‐mentoring relationship contributed to change in young women “in care.” Twenty semistructured, one‐to‐one interviews were conducted with mentors (n = 11) and mentees (n = 9) recruited from two different London local authorities. Participants’ accounts were interpreted through a developmental lens to uncover developmental aspects and locus mechanisms through which transformative change took place. Resilience as a healthy outcome was the result of the dual function the mentoring relationship performed. The mentoring relationship was protective against the risks associated with transitioning to independent living and/or adulthood, and promoted internal assets and competencies whereby the mentees’ ability to resist them was enhanced. Establishing a trustworthy connection with a role model promoted developmental domains within mentees.