Nested Analysis as a Mixed-Method Strategy for Comparative Research

By E. Lieberman. American Political Science Review, 2005

1,097 citations recorded by the source corpus.

Subfields: Development, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/ceecb54134bca9cd437e8283e2163646f578c554

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Citations in the corpus

Barriers to increasing energy efficiency: evidence from small-and medium-sized enterprises in China (2013, methodology): “In order to test our hypotheses and to analyze the barriers to energy efficiency within SMEs in the respective region we apply a ‘nested analysis’ (Lieberman, 2005), whereby the statistical analysis of a large survey is combined with the in-depth investigation of a few company cases contained…”
Assessing the Power of the Purse: An Index of Legislative Budget Institutions (2006, background): “Rather, there is an emerging debate on comparative research methods that argues strongly in favour of a carefully designed combined use of statistical and small-N approaches (Lieberman, 2005).”
Toward a Pluralistic Vision of Methodology (2006, methodology): “Using the approach of ‘‘nested analysis’’ (Lieberman 2005), his book provides an extended and well-organized illustration of how these two forms of evidence can be adjoined.”
A comprehensive view of trust in education: Conclusions from a systematic literature review (2020, background): “This raises the question of how to bridge the quantitative/qualitative divide (Abadie et al., 2015) and how to combine large-N and small-N research (Lieberman, 2005).”
Debunking the 'digital native': beyond digital apartheid, towards digital democracy (2010, methodology): “Phase 3 in 2009 adopted a nested case study approach (Lieberman 2005) involving a short survey of 513 students identified as types through the previous phases across six universities.”
influence.ME: Tools for Detecting Influential Data in Mixed Effects Models (2012, methodology): “As a result of the specific modification of the model-specification, this specific procedure suggested by Langford and Lewis (1998) does not work when factor-variables are used in the regression model.”