Research self-efficacy: A meta-analysis

Livinţi, Raluca; Gunnesch-Luca, George; Iliescu, Dragoş

doi:10.1080/00461520.2021.1886103

Cited by 35 publications

(43 citation statements)

References 113 publications

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“…We will refer to the items from Self-efficacy in Research Measure (SERM) ( Phillips & Russell, 1994 ), Career-Decision Self-Efficacy Measure ( Betz et al., 1996 ) and self-efficacy tools used in prior study to assess academic publications ( Anderson et al., 2016 ), including one among ethnic minorities ( Byars-Winston et al., 2016 ). We have also reviewed research self-efficacy scale, research skills self-efficacy scales, and research training environment scales to identify relevant items to be incorporated in the study ( Burke & Prieto, 2019 ; Lachance et al., 2020 ; Livinti et al., 2021 ).…”

Section: Methods and Analysismentioning

confidence: 99%

Evidence-based approaches for promoting gender equity in global mental health research: Study protocol for social network analysis of researchers in Nepal

Poudyal

Gurung

Kohrt

2021

SSM - Mental Health

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There are increasing efforts for capacity building of researchers in low- and middle-income countries (LMIC) to foster local ability to conduct high quality research. However, female researchers remain underrepresented in scientific communities, particularly in LMIC where they have limited networking and mentorship opportunities. This protocol is for a Social Network Analysis (SNA) to evaluate if gender-sensitive, need-based capacity building can improve researchers' networking and mentorship opportunities in Nepal. The conceptual framework is informed by Social Cognitive Career Theory. Cross-sectional and longitudinal SNA are used to a) assess individual researchers’ network characteristics and their association with academic productivity; and b) examine if the association of network characteristics and academic productivity is mediated by self-efficacy and outcome expectations. Recruitment is designed to include early-career and senior researchers conducting mental health research, as well as students interested in pursuing a career in mental health research. The network characteristics will be mapped for approximately 150 researchers in working in Nepal. SNA characteristics in the network (individual density, homophily, and centrality) will be compared with academic productivity (total peer reviewed publications, h-index), including mediation effects via self-efficacy and outcome expectations. Ultimately, this study will generate information to design more evidence-based strategies for capacity building of a gender-equitable research workforce in global mental health.

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Section: Methods and Analysismentioning

confidence: 99%

Evidence-based approaches for promoting gender equity in global mental health research: Study protocol for social network analysis of researchers in Nepal

Poudyal

Gurung

Kohrt

2021

SSM - Mental Health

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“…Prominent RSE measures are the Research Self-Efficacy Scale (RSES, Bieschke et al, 1996), the Self-Efficacy in Research Measure (SERM, Phillips and Russell, 1994), the Research Attitudes Measure (RAM, O'Brien et al, 1998), and the Research Self-Efficacy Scale (Holden et al, 1999). These have been employed in various studies, as just recently mentioned in a meta-analysis by Livinţi et al (2021). While these measures are all valuable to measure RSE within their perspective, the conceptual differences between them invite skepticism on whether results drawn from studies that employ each instrument can be compared and pooled meaningfully.…”

Section: Challenges In Research Self-e Cacy Theory and Assessmentmentioning

confidence: 99%

“…These forces may increase and specialize as training advances from undergraduate to graduate training. The amount of training might not only affect mean levels of RSE (Livinţi et al, 2021) but also engender differentiation and specification of self-efficacy beliefs regarding the various research tasks and the way they constitute students' self-efficacy in this domain. As a consequence, variation in construct structure might be interpreted as a conceptual change of research in the process of methods education.…”

Section: Training Levelmentioning

confidence: 99%

“…However, both target self-beliefs (Choi, 2005). A further theoretically and empirically positive relation to RSE is given by attitudes toward research (Kahn and Scott, 1997;Livinţi et al, 2021). Relations between RSE and neuroticism have not yet been tested empirically, but can be reasoned to be negative, as low self-esteem and a heightened sensitivity toward failure (Zhao et al, 2010) impede mastery experience, which is a core requisite for acquiring (research) self-efficacy (Bandura, 2006).…”

Section: Construct Validitymentioning

confidence: 99%

“…Interestingly, RSE is not only an outcome of academic education itself but also a predictor of other desirable outcomes of university education. According to social cognitive career theory (Lent et al, 1994), these are interest in research, research productivity, or career choice (Livinţi et al, 2021).…”

Section: Introduction and Theorymentioning

confidence: 99%

See 2 more Smart Citations

Lacking measurement invariance in research self-efficacy: Bug or feature?

Klieme

Schmidt-Borcherding²

2023

Front. Educ.

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Psychological factors play an important role in higher education. With respect to students' understanding of scientific research methods, research self-efficacy (RSE) has been studied as a core construct. However, findings on antecedents and outcomes of RSE are oftentimes heterogeneous regarding both its theoretical and empirical structures. The present study helps disentangle these findings by (a) establishing and validating an integrated, multi-dimensional assessment of RSE and (b) introducing a developmental perspective on RSE by testing the impact of the disciplinary context and academic seniority on both mean level and latent structure of RSE. The construct validity of the new measure was supported based on RSE assessments of 554 German psychology and educational science students. Relations to convergent and discriminant measures were as expected. Measurement invariance and LSEM analyses revealed significant differences in latent model parameters between most sub-groups of training level and disciplinary context. We discuss our findings of measurement non-invariance as a feature rather than a bug by stressing a process-oriented perspective on RSE. In this regard, we conclude potential future directions of research and RSE theory development, alongside implications for methods education practice in higher education.

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Cognition and Learning

Doolittle,

Byrnes

2023

Educational Principles and Practice in Veterinary Medicine

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Research self-efficacy: A meta-analysis

Cited by 35 publications

References 113 publications

Evidence-based approaches for promoting gender equity in global mental health research: Study protocol for social network analysis of researchers in Nepal

Evidence-based approaches for promoting gender equity in global mental health research: Study protocol for social network analysis of researchers in Nepal

Lacking measurement invariance in research self-efficacy: Bug or feature?

Cognition and Learning

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