How Have Other Journals Compared to “The Top Seven” Journals in Family Social Science with Respect to LGBT-Related Research and Reviews? A Comment on “A Content Analysis of LGBT Research in Top Family Journals 2000–2015”? An Editorial Analysis

Van Eeden-Moorefield, Few-Demo, Benson, Bible, and Lummer (2018) recently reviewed the content of seven family social science journals with respect to theory and methods used in 153 articles featuring LGBT research or reviews of LGBT research. They concluded that less than three percent of 6,832 articles published in those journals between 2000 and 2015 were LGBT-related and that most had not used explicit theory and had used purposive cross-sectional samples consisting mostly of White and middle-class participants. During the tenure of the present editor, between 2010 and 2017, Marriage & Family Review featured 14 research reports, reviews, or commentary on LGBT-related issues out of 250 articles, not counting brief editorials or biographies between 2010 and 2017, an odds ratio of over 2.0 compared to the other “top-tier” journals. Likewise, the Journal of Family Theory & Review published at least 15 articles, mainly reviews or commentaries, on LGBT-related issues between 2009 and 2017. Articles in Marriage & Family Review and Journal of Family Theory & Review were more likely to be reviews of the literature, or feature explicit theory, to be qualitative in methodology, or to involve interviews or surveys, while other characteristics were similar to those in the other seven journals. Thus, even if some mainstream family journals did not publish often on LGBT-related issues, other important family science journals have done so. Furthermore, there are numerous scholarly journals that welcome LGBT-related research and reviews almost exclusively.     

Evidence-based practice: a critical reflection

This article employs the process of critical reflection to uncover and challenge the hegemonic assumptions of evidence-based practice (EBP). The critical reflection process results in a re-conceptualisation of best practices that, while still honouring empirical research, is less hierarchical and more inclusive of a broad spectrum of interests than traditional EBP. Multidimensional Evidence-Based Practice (MEBP) validates consumer wisdom, professional experience, and qualitative research as equal partners to quantitative research in determining current state-of-the art best practices. Furthermore, MEBP incorporates a value-critical analysis of those best practices that can lead to improvements and innovations, so that ‘best practices’ becomes a dynamic rather than a static construct.     

The FARSEEING real-world fall repository: a large-scale collaborative database to collect and share sensor signals from real-world falls

Background

Real-world fall events objectively measured by body-worn sensors can improve the understanding of fall events in older people. However, these events are rare and hence challenging to capture. Therefore, the FARSEEING (FAll Repository for the design of Smart and sElf-adaptive Environments prolonging Independent livinG) consortium and associated partners started to build up a meta-database of real-world falls.

Results

Between January 2012 and December 2015 more than 300 real-world fall events have been recorded. This is currently the largest collection of real-world fall data recorded with inertial sensors. A signal processing and fall verification procedure has been developed and applied to the data. Since the end of 2015, 208 verified real-world fall events are available for analyses. The fall events have been recorded within several studies, with different methods, and in different populations. All sensor signals include at least accelerometer measurements and 58 % additionally include gyroscope and magnetometer measurements. The collection of data is ongoing and open to further partners contributing with fall signals. The FARSEEING consortium also aims to share the collected real-world falls data with other researchers on request.

Conclusions

The FARSEEING meta-database will help to improve the understanding of falls and enable new approaches in fall risk assessment, fall prevention, and fall detection in both aging and disease.

     

Poverty and time

We examine the measurement of individual poverty in an intertemporal context. Our aim is to capture the importance of persistence in a state of poverty and we characterize a corresponding individual intertemporal poverty measure. Our first axiom requires that intertemporal poverty is identical to static poverty in the degenerate single-period case. The remaining two properties express decomposability requirements within poverty spells and across spells in order to reflect the persistence issue. In addition, we axiomatize an aggregation procedure to obtain an intertemporal poverty measure for societies and we illustrate our new index with an application to EU countries.     

The historical roots of multicultural unity along the Upper Guinea Coast and in Guinea-Bissau

Lusofonia or lusophony is often defined as an identity shared by people in areas that were once colonised by Portugal, which in Africa include Angola, Cabo Verde, Guinea-Bissau, Mozambique and São Tomé and Príncipe. Lusofonia assumes that in these places people share something – a language, certainly, but also a history and culture rooted in the Iberian Peninsula. In some ways it is a re-articulation of Gilberto Freyre’s lusotropicalismo, the idea that Portuguese were more adaptable than other Europeans to tropical climates and cultures and created more multicultural colonial communities. Those who espouse lusofonia often have a political agenda – the strengthening of the Community of Portuguese-Speaking Countries. In this article, we argue that, like lusotropicalismo, lusofonia is a dream; it is not rooted in a historical reality. It is luso-centric in that it ignores the power and persistence of local cultures and gives undue weight to Portuguese influence. With regard to Africa, lusofonia’s agenda is elite driven and assumes the inevitability of modernity and globalisation. And we demonstrate that it was through Upper Guinean institutions and languages, and not colonial ones, that community and fellowship were most commonly fostered in the past, as they are fostered today. Those seeking the roots of lusofonia cannot, then, look to this period of Portuguese–African engagement in Upper Guinea. There Portuguese embraced “black ways.” They operated in a peculiar multicultural space in which people possessed fluid and flexible identities. Portugal did not create that space. Lusofonia has not been the foundation for cultural unity. Rather, unity has been found in localised institutions and in Crioulo. In Guinea-Bissau, lusofonia is not an indigenous movement. If it is anything, it is the stuff of elites and foreigners and is not rooted in any historical reality.     

Methodological decisions and the evaluation of possible effects of different family structures on children: The new family structures survey (NFSS)

Every social science researcher must make a number of methodological decisions when planning and implementing research projects. Each such decision carries with it both advantages and limitations. The decisions faced and made by Regnerus (2012) are discussed here in the wider context of social science literature regarding same-sex parenting. Even though the apparent outcomes of Regnerus’s study were unpopular, the methodological decisions he made in the design and implementation of the New Family Structures Survey were not uncommon among social scientists, including many progressive, gay and lesbian scholars. These decisions and the research they produced deserve considerable and continued discussion, but criticisms of the underlying ethics and professionalism are misplaced because nearly every methodological decision that was made has ample precedents in research published by many other credible and distinguished scholars.     

Benchmark Dose Analysis via Nonparametric Regression Modeling

Estimation of benchmark doses (BMDs) in quantitative risk assessment traditionally is based upon parametric dose‐response modeling. It is a well‐known concern, however, that if the chosen parametric model is uncertain and/or misspecified, inaccurate and possibly unsafe low‐dose inferences can result. We describe a nonparametric approach for estimating BMDs with quantal‐response data based on an isotonic regression method, and also study use of corresponding, nonparametric, bootstrap‐based confidence limits for the BMD. We explore the confidence limits’ small‐sample properties via a simulation study, and illustrate the calculations with an example from cancer risk assessment. It is seen that this nonparametric approach can provide a useful alternative for BMD estimation when faced with the problem of parametric model uncertainty.     

Fractional replication in simulation studies

It is shown how to use fractional replication in simulation studies. Examples are given. Considerable savings in number of runs required can be achieved through the use of fractional replication ideas.     

Bayesian Analysis in Regression Models Using Pseudo-Likelihoods

This article deals with the issue of using a suitable pseudo-likelihood, instead of an integrated likelihood, when performing Bayesian inference about a scalar parameter of interest in the presence of nuisance parameters. The proposed approach has the advantages of avoiding the elicitation on the nuisance parameters and the computation of multidimensional integrals. Moreover, it is particularly useful when it is difficult, or even impractical, to write the full likelihood function.

We focus on Bayesian inference about a scalar regression coefficient in various regression models. First, in the context of non-normal regression-scale models, we give a theroetical result showing that there is no loss of information about the parameter of interest when using a posterior distribution derived from a pseudo-likelihood instead of the correct posterior distribution. Second, we present non trivial applications with high-dimensional, or even infinite-dimensional, nuisance parameters in the context of nonlinear normal heteroscedastic regression models, and of models for binary outcomes and count data, accounting also for possibile overdispersion. In all these situtations, we show that non Bayesian methods for eliminating nuisance parameters can be usefully incorporated into a one-parameter Bayesian analysis.