Challenges and opportunities to eLearning in social work education: perspectives from Spain and the United States

ABSTRACT

eLearning has become an academic tool used to provide access to education for multiple segments of the population, which otherwise would have little to no access to it. While other academic disciplines integrated it into their curricula early in the digital revolution, in many countries, social work education is just beginning to address the opportunities and challenges web-based learning may bring to these programmes [Blackmon, 2013. Social work and online education with all deliberate speed. Journal of Evidence-Based Social Work, 10(5), 509–521. doi:10.1080/15433714.2012.663672; Phelan, 2015. The use of eLearning in social work education. Social Work, 60(3), 257–264. doi:10.1093/sw/swv010]. This international collaborative research study seeks to better understand the challenges and opportunities faced by social work educators teaching at universities who are already using some form of eLearning in the United States and in Spain. A quantitative, non-experimental research design was employed. Results show that there are similarities as well as differences in the ways the two subsamples perceive the challenges and opportunities of eLearning. Findings reveal that there are some significant differences between the way the two subsample respondents perceived challenges and opportunities to eLearning. Recommendations for online social work educators and administrators are provided regarding overcoming challenges and capitalizing on opportunities applicable to the US, Spain, and the larger European and global contexts. Recommendations for further research and practice are also included.     

Rényi statistics for testing equality of autocorrelation coefficients

The problem of testing for equality of autocorrelation coefficients of two populations in multivariate data when errors are autocorrelated is considered. We derive Rényi statistics defined as divergences between unrestricted and restricted estimated joint probability density functions and we show that they are asymptotically chi-square distributed under the null hypothesis of interest. Monte Carlo simulation experiments are carried out to investigate the behavior of Rényi statistics and to make comparisons with test statistics based on the approach of Bhandary [M. Bhandary, Test for equality of autocorrelation coefficients for two populations in multivariate data when the errors are autocorrelated, Statistics & Probability Letters 73 (2005) 333–342] for the problem under consideration. Rényi statistics showed to have significantly better behavior.     

Divergence-based tests of homogeneity for spatial data

The problem of testing homogeneity in contingency tables when the data are spatially correlated is considered. We derive statistics defined as divergences between unrestricted and restricted estimated joint cell probabilities and we show that they are asymptotically distributed as linear combinations of chi-square random variables under the null hypothesis of homogeneity. Monte Carlo simulation experiments are carried out to investigate the behavior of the new divergence test statistics and to make comparisons with the statistics that do not take into account the spatial correlation. We show that some of the introduced divergence test statistics have a significantly better behavior than the classical chi-square test for the problem under consideration when we compare them on the basis of the simulated sizes and powers.     

On Augmented Franses Tests for Seasonal Unit Roots

This article extends the results reported in del Barrio Castro, Osborn and Taylor (2012 del Barrio Castro, T., Osborn, D.R., Taylor, A. M.R. (2012). On augmented HEGY tests for seasonal unit roots. Econometric Theor. 18:1121–1143.[Crossref], [Web of Science ®] , [Google Scholar]) to the approach followed by Franses (1991a Franses, P. H. (1991a). Model selection and seasonality in time series. Tibergen Institute Series, 18. [Google Scholar],b Franses, P.H. (1991b). Seasonality, non-stationarity and the forecasting of monthly time series. Int. J. Forecast. 7:199–208.[Crossref], [Web of Science ®] , [Google Scholar]) to test for seasonal unit roots, providing the asymptotic representation to the seasonal unit roots tests proposed by Franses for a general number of seasons S.     

A Detrended Range Unit Root (DRUR) Test

We extend the Range Unit Root test in two directions. First, we consider the process with time trend and prove that the modified standardized number of new records converges to a sum of two Rayleigh distributions. Second, more general structures of autocorrelated disturbances are also taken into account. Monte Carlo experiments show the good sample properties of this nonparametric unit root test.     

Intermediate Units in Multinational Corporations: Advancing Theory on their Co‐parenting Role,Dynamics and Outcomes

Due to the dispersion of headquarters’ activities across organizational and geographical boundaries, intermediate units (IUs) are emerging as a key actor in international business. These units are intermediate structural layers between headquarters (HQ) and local subsidiaries with specific HQ responsibilities. Through a systematic review of 68 studies published between 1996 and 2020, we develop a conceptual framework that integrates complementary streams of theoretical and empirical research with IUs as the focal unit of analysis. Our aims are to disentangle how the main theories in this field address the antecedents of IU creation, and explain the dynamism in the roles and functions of IUs and their outcomes. We also propose a conceptualization of IUs as co‐parents in a dynamic system in which parenting functions are shared by IUs and headquarters. Finally, we highlight avenues for future research, emphasizing opportunities to advance the understanding of IUs using different theoretical lenses that may help scholars position their work within the broader stream of literature.     

Developing Public Relations 2.0: Practitioners’ perceptions on the implementation of interactive communication strategies

This study employs a qualitative Delphi panel to explore the perceptions of interactive agency executives on the adoption of online interactivity within the communication practices of companies of all trades in one of the biggest European media markets (Spain). The results highlight the serious challenges these practices pose to organizations and identify internal and external factors that affect the decision-making process. The study argues that actors’ definitions of interactivity are crucial in shaping Public Relations 2.0.     

Small area estimation under random regression coefficient models

Statistical agencies are interested to report precise estimates of linear parameters from small areas. This goal can be achieved by using model-based inference. In this sense, random regression coefficient models provide a flexible way of modelling the relationship between the target and the auxiliary variables. Because of this, empirical best linear unbiased predictor (EBLUP) estimates based on these models are introduced. A closed-formula procedure to estimate the mean-squared error of the EBLUP estimators is also given and empirically studied. Results of several simulation studies are reported as well as an application to the estimation of household normalized net annual incomes in the Spanish Living Conditions Survey.     

Migratory flows and pandemic: An analysis of impacts on immigrants of foreign origin in Spain

Restrictions on mobility as a measure to contain the COVID-19 pandemic meant, in the case of Spain, an abrupt ending to what could be called the second international migratory boom. At the same time, internal migrations underwent considerable change, with cities becoming less attractive as a destination for migrants, and increased flows into rural areas. In this context, our aim is twofold. First, it is to describe and analyse the decline in international migration according to origin and, second, to analyse internal migration among the population of immigrant origin. The results point to a temporary steep downturn in international flows, which does not affect all origins equally. In the case of internal migrations, there is a slight reduction in the intensity of movements with patterns similar to those of the autochthonous population. However, this drop in numbers is very significant among Asians and barely noticeable among immigrants from Latin America.