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  • Item type:Publication,
    Identifying gender disparities in research performance: the importance of comparing apples with apples Open PDF 
    (2022)
    Nygaard, L.P.
    ;
    Aksnes, D.W.
    ;
    Piro, F.N.
    Many studies on research productivity and performance suggest that men consistently outperform women. However, women and men are spread unevenly throughout the academy both horizontally (e.g., by scientific field) and vertically (e.g., by academic position), suggesting that aggregate numbers (comparing all men with all women) may reflect the different publication practices in different corners of the academy rather than gender per se. We use Norwegian bibliometric data to examine how the “what” (which publication practices are measured) and the “who” (how the population sample is disaggregated) matter in assessing apparent gender differences among academics in Norway. We investigate four clusters of indicators related to publication volume, publication type, authorship, and impact or quality (12 indicators in total) and explore how disaggregating the population by scientific field, institutional affiliation, academic position, and age changes the gender gaps that appear at the aggregate level. For most (but not all) indicators, we find that gender differences disappear or are strongly reduced after disaggregation. This suggests a composition effect, whereby apparent gender differences in productivity can to a considerable degree be ascribed to the composition of the group examined and the different publication practices common to specific groups. We argue that aggregate figures can exaggerate some gender disparities while obscuring others. Our study illustrates the situated nature of research productivity and the importance of comparing men and women within similar academic positions or scientific fields—of comparing apples with apples—when using bibliometric indicators to identify gender disparities in research productivity. © 2022, The Author(s).
  • Item type:Publication,
    A Protocol to Assess Contextual Factors During Program Impact Evaluation: A Case Study of a STEM Gender Equity Intervention in Higher Education Open PDF 
    (2023)
    Nobrega, S
    ;
    Edwards, K
    ;
    El Ghaziri, M
    ;
    Giacobbe, L
    ;
    Rice, S
    Program evaluations that lack experimental design often fail to produce evidence of impact because there is no available control group. Theory-based evaluations can generate evidence of a program's causal effects if evaluators collect evidence along the theorized causal chain and identify possible competing causes. However, few methods are available for assessing competing causes in the program environment. Effect Modifier Assessment (EMA) is a method previously used in smaller-scale studies to assess possible competing causes of observed changes following an intervention. In our case study of a university gender equity intervention, EMA generated useful evidence of competing causes to augment program evaluation. Top-down administrative culture, poor experiences with hiring and promotion, and workload were identified as impeding forces that might have reduced program benefits. The EMA addresses a methodological gap in theory-based evaluation and might be useful in a variety of program settings.
  • Item type:Publication,
    Visualising Bibliographic Metadata Using CAQDAS in the Research on the Gender Gap in STEM Studies in Higher Education
    (2023)
    Verdugo-Castro, S.
    ;
    Sánchez-Gómez, M.ªC.
    ;
    García-Holgado, A.
    ;
    García-Peñalvo, F.J.
    ;
    Costa, A.P.
    Besides providing the consulted publication’s findings, the literature review can offer information through metadata. Computer-Assisted Qualitative Data Analysis Software (CAQDAS) can support visualising bibliometric metadata through RIS files. The usefulness is to provide an interactive image of the reality and actuality of scientific production. This article presents a case study to exemplify how metadata can be analysed and visualised using CAQDAS. The topic for the case study is the gender gap in STEM studies in higher education. The study aims to identify the value and usefulness of data visualisation in representing bibliometric data to support literature review processes. The phenomenon of the gender gap in the STEM education sector is used as a case study. The research questions addressed by the study are: (1) What does CAQDAS contribute to the results obtained?; (2) What are the possible causes of the gender gap? The analysis concludes that the cultural, social, educational, family, and peer group environment generates positive and negative force fields when deciding which studies to pursue; some people follow the patterns expected of them according to their gender. Finally, data visualisation helps understand the scientific evolution of a phenomenon and supports the research on a particular topic. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
  • Item type:Publication,
    A Model for Bridging the Gender Gap in STEM in Higher Education Institutions
    (Springer Nature, 2022)
    García-Holgado, Alicia
    ;
    García-Peñalvo, Francisco José
    ;
    García-Peñalvo, Francisco José
    ;
    García-Holgado, Alicia
    ;
    Dominguez, Angeles
    Women present a historic and worrying gap in science and technology-related disciplines, generally knowns as STEM (Science, Technology, Engineering, and Mathematics), except in the case of health professions. A holistic approach is needed to support policymakers worldwide in bridging the gender gap in STEM, in which higher education institutions have a crucial role. Promoting this active implication of the universities in this problem, in the European project Building the future of Latin America: engaging women into STEM (W-STEM), a model to modernise the government, management and operation of higher education institutions in Latin America to improve attraction, access to and retention of women in STEM programs has been developed. This situation is not exclusive to Latin American countries, it is a global problem, so the results of the W-STEM project are also applicable to European partners and transferrable worldwide. The main goal of this chapter is to describe the W-STEM model based on three years of working on strategies and mechanisms to improve the attraction, access, guidance, and retention processes to engage more women in STEM programs. The model has been thoroughly tested in eleven institutions in Chile, Colombia, Costa Rica, Ecuador, and Mexico, involving public and private institutions with different gender equality situations.
  • Item type:Publication,
    Hidden patterns: Using social network analysis to track career trajectories of women STEM faculty Open PDF 
    (2019)
    Collins, R.
    ;
    Steffen-Fluhr, N.
    Purpose: The purpose of this paper is to describe how one group of ADVANCE Project researchers investigated faculty co-authorship networks to identify relationships between women’s positions in these networks, their research productivity and their advancement at the university – and to make those relationships transparent. Design/methodology/approach: Multiple methods for capturing faculty network data were evaluated, including collecting self-reported data and mining bibliometric data from various web-based sources. Faculty co-authorship networks were subsequently analyzed using several methodologies including social network analysis (SNA), network visualizations and the Kaplan–Meier product limit estimator. Findings: Results suggest that co-authorship provides an important way for faculty to signal the value of their work, meaning that co-authoring with many others may be beneficial to productivity and promotion. However, patterns of homophily indicate that male faculty tend to collaborate more with other men, reducing signaling opportunities for women. Visualizing these networks can assist faculty in finding and connecting with new collaborators and can provide administrators with unique views of the interactions within their organizations. Finally, Kaplan–Meier survival studies showed longitudinal differences in the retention and advancement of faculty based on gender. Originality/value: Together, these findings begin to shed light on subtle differences that, over time, may account for the significant gender disparities at STEM institutions, patterns which should be investigated and addressed by administrators. Lessons learned, as well as the novel use of SNA and Kaplan–Meier in investigating gender differences in STEM faculty, provide important findings for other researchers seeking to conduct similar studies at their own institutions. © 2019, Emerald Publishing Limited.