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This register of current research in social economics has been compiled by the International Institute of Social Economics. The register does not claim to be comprehensive but is merely an aid for research workers and institutions interested in social economics. The register will be updated and made more comprehensive in the future but this is largely dependent on the inflow of information from researchers in social economics. In order to facilitate this process a standardised form is to be found on the last page of this register. Completed forms, with attached sheets as necessary, should be returned to the compiler: Dr Barrie O. Pettman, Director, International Institute of Social Economics, Enholmes Hall, Patrington, Hull, N. Humberside, England, HU12 OPR. Any other comments on the register will also be welcome.

This article presents a comprehensive and qualitative review of how levels of analysis issues have been addressed in the diversity and demography literature. More than 180 conceptual and empirical publications (i.e. book chapters and journal articles) in this field are reviewed and coded regarding the specific incorporation of levels of analysis in theory and hypothesis formulation, representation of levels of analysis in measurement of constructs and variables, appropriateness of data-analytic techniques given the explicit or implied levels of analysis, and alignment between levels of analysis in theory and data in regard to drawing inferences and conclusions. Although the body of diversity and demography literature continues to grow, levels of analysis issues are rarely considered. Only a few reviewed studies address levels of analysis issues in theory development, and no reviewed studies employ appropriate multi-level data analytic techniques. Implications for future research are discussed, and recommendations for incorporating levels of analysis into diversity and demography research are provided.

This paper aims to present recently published resources on information literacy and library instruction providing an introductory overview and a selected annotated bibliography of publications covering all library types.

This paper introduces and annotates English-language periodical articles, monographs, dissertations and other materials on library instruction and information literacy published in 2016.

The paper provides information about each source, describes the characteristics of current scholarship and highlights sources that contain unique or significant scholarly contributions.

The information may be used by librarians and interested parties as a quick reference to literature on library instruction and information literacy.

This chapter focuses on the impact of national economic conditions and voters’ attitudes on the positioning of European national political parties with regard to the European Union (EU). We provide an empirical analysis based on data gathered through the Chapel Hill Expert Survey (CHES) covering parties from 14 European countries observed over the 1999–2010 time span. We perform a regression analysis where the dependent variable measures the position of political parties vis-à-vis EU integration and explanatory variables include a number of measures of national economic conditions, features of the national political and institutional framework and voters’ Euroscepticism. Fixed effect, ordered logit and fractional logit estimates provide the following main results. Compared with other parties, non-mainstream political parties and those acting in established economies are more prone to mirror citizens’ Eurosceptic sentiments. National economic conditions such as inflation as well as gross domestic product (GDP) growth affect mainstream party support for the EU. Smaller and ideologically extreme parties are, on average, less supportive of European integration.

Numerous scales have been developed and utilized in the tourism and hospitality field, yet, their psychometric properties have not been systematically reviewed and evaluated. This gap compromises researchers' ability to develop better measures and improve measurement decisions. In this current study, 56 scales were identified and evaluated in terms of their psychometric properties. It was found that most scales were imperfect in measuring tourism and hospitality domains, and most scales did not provide explicit information about the scale development procedures that were adopted. The scale development procedure and psychometric properties of the reviewed scales are summarized, evaluated, and recommendations are made for future tourism and hospitality scale development.

Purpose – The purpose of this chapter is to present a subset of seven statistical and methodological myths and urban legends (SMMULs). When present, SMMULs degrade the overall research process and make manuscript evaluation problematic during the review process. SMMULs covered here included those pertaining to accepting the theoretical model, conventional cutoff values, exploratory factor analysis, common method bias, moderation analysis, Baron and Kenny's four-step mediation test, and permitting correlated item residuals.

Design/Methodology – Given that the details underlying the SMMULs have already been published, the present chapter was a summary of each. The summaries presented the urban legend and sources for it. Subsequently, the kernel of truth underlying the SMMUL was presented, and how this truth may have been lost and distorted. Each summary ends with the recommended “good” practices as presented by the original authors.

Findings/Implications – The implication for researchers is to modify their current practices to strengthen their research and to make better inferences. And for editors and reviewers, the implication is to develop accurate decision rules to strengthen the review process.

Originality/Value – The overall value of the chapter is to improve the research process in general.