Multilevel and longitudinal modeling using Stata. 2nd edition

By Sophia Rabe-Hesketh, A. Skrondal. 2008

627 citations recorded by the source corpus.

Subfields: Management, Monitoring, Policy and Law, Management Science and Operations Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/1d12139322540b61e7601ff820bc4a5a0d5a5592

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Citations in the corpus

The Climate for Entrepreneurship at Higher Education Institutions (2018, methodology): “Compared to ordinary regression modelling, using multi-level analyses provides several advantages (Nezlek, 2011; Rabe-Hesketh and Skrondal, 2008; Snijders and Bosker, 2004).”
Prediction in multilevel generalized linear models (2009, methodology): “These estimates were obtained using gllamm (e.g. Rabe-Hesketh and Skrondal (2008b)) Table 1.”
The effects of school-based parental involvement on academic achievement at the child and elementary school level: A longitudinal study (2017, methodology): “…available information without imputing values or excluding cases, we utilized fullinformation maximum likelihood estimation, which allows any child contributing one or more outcome scores to be included in the analyses and contribute to the within-person estimation (Rabe-Hesketh & Skrondal, 2008).”
Review of Multilevel and Longitudinal Modeling Using Stata, Second Edition, by Sophia Rabe-Hesketh and Anders Skrondal (2008, methodology): “The second edition of Multilevel and Longitudinal Modeling Using Stata ( MLMUS2 ; Rabe-Hesketh and Skrondal 2008) complements other texts that provide an applied introduction to these methods (e.g., Fitzmaurice, Laird, and Ware [2004]; Dig-gle et al. [2002]; Singer and Willett [2003]), with the…”
Academic Resilience: What Schools and Countries Do to Help Disadvantaged Students Succeed in PISA. OECD Education Working Papers, No. 167. (2018, methodology): “The student weights have been rescaled by dividing them by their cluster (school) means (Rabe-Hesketh and Skrondal, 2012) while the school weights are computed as the sum of the weights of disadvantaged students in each school.”
Why and how does shared language affect subsidiary knowledge inflows? A social identity perspective (2015, methodology): “Accordingly, we ran a two-stage Heckman correction analysis (Heckman, 1979) with STATA 10.0 (Rabe-Hesketh & Skrondal, 2008).”
Consistency of gender differences in bullying in cross-cultural surveys (2019, neutral): “Further research should also consider using statistical modelling techniques which would allow taking into consideration the full variance of the sample beyond the countries’ point estimates (Rabe-Hesketh & Skrondal, 2008; Raudenbush & Bryk, 2002).”
The entrepreneurial ladder, gender, and regional development (2012, background): “The correlations are based on 18,791 observations 10 The values of /k 2, hk 2, and rk are invariant to data scaling (Rabe-Hesketh and Skrondal, 2008).”
Two Decades of Measuring Environmental Attitudes: A Comparative Analysis of 33 Countries (2013, methodology): “…model structure (individual effects and country specific effects) hierarchical linear regression analysis is a suitable statistical tool, which allows the simultaneous estimation of micro and macro effects (Gelman and Hill, 2007; Snijders and Bosker, 1999; Rabe-Hesketh and Skrondal, 2008).”
The Signaling Effect of Corporate Social Responsibility in Emerging Economies (2016, methodology): “First, firms in different countries may be more strongly associated with the home countries where they are located rather than with other countries, since firms are nested within specific countries (Hitt et al. 2007; Kozlowski and Klein 2000; Rabe-Hesketh and Skrondal 2008).”
Best practice guidance for linear mixed-effects models in psychological science (2019, neutral): “…2016; Cunnings, 2012; Field, Miles & Field, 2009; Field & Wright, 2011; Jaeger, 2008; Kliegl, 2014; Magezi, 2015; Murayama, Sakaki, Yan, & Smith, 2014; Rasbah et al, 2000; Rabe-Hesketh & Skrondal, 2012; Schluter, 2015; Th. Gries, 2015; Tremblay & Newman, 2015; West & Galecki, 2011; Winter, 2013).”
What makes student entrepreneurs? On the relevance (and irrelevance) of the university and the regional context for student start-ups (2016, background): “Second, simultaneously estimating predictor effects from different hierarchical levels makes it possible to quantify the relative impact of each level with respect to the overall hierarchical system (Nezlek, 2011; Rabe-Hesketh & Skrondal, 2008; Snijders & Bosker, 2004).”