Multilevel analysis : an introduction to basic and advanced multilevel modeling

By Tom A. B. Snijders, Roel Bosker. 1999

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks (2014, methodology): “The data were used by Snijders and Bosker (1999) as a running example and are about a study of 2287 eigth-grade pupils (aged about 11) in 132 classes in 131 schools in the Netherlands.”
An Introduction to Mixed Models for Experimental Psychology (2019, unknown): “Aspects of mixed models that go beyond the issues discussed here are given in Bolker (2015) and Snijders and Bosker (2012).”
Homework Completion at the Secondary School Level: A Multilevel Analysis (2011, background): “Hierarchical linear modeling (HLM) allows for the inclusion of variables at multiple levels while taking into account the nonindependence of observations by addressing the variability associated with each level of nesting (Raudenbush & Bryk, 2002; Snijders & Bosker, 1999).”
Understanding the Influence of the Financial Context of Institutions on Student Persistence at Four-Year Colleges and Universities (2006, background): “The analyses also exclude institutions with only one student in the BPS: 96/98 survey (7%), since variances and other statistics cannot be calculated for groups (i.e., institutions) with only one case ( Snijders & Bosker, 1999 ).”
Critical analysis of the current approaches to modelling educational effectiveness: The importance of establishing a dynamic model (2006, methodology): “computed by calculating multilevel λ ( Snijders & Bosker, 1999 ) and Cronbach alpha for data”
The Etiology of the Multilevel Paradigm in Management Research (2011, background): “…sophisticated treatment of multilevel error term distributions, extensions to three or more levels of analysis (see, Bryk & Raudenbush, 1992; Kreft & De Leeuw, 1998; Raudenbush, Bryk, Cheong, Congdon, & du Toit, 2004; Snijders & Bosker, 1999), and SEM applications (e.g., Muthen & Muthen, 2005).”
The role of transformational leadership in enhancing team reflexivity (2007, methodology): “…using the linear mixed effects program xtmixed in STATA 9.1 (StataCorp., 2005), in addition to the regression analysis performed in SPSS. Multilevel regression analysis statistically models both within-groups as well as between-groups relations (Bryk & Raudenbush, 1992; Snijders & Bosker, 1999).”
Small Sample Size Solutions (2020, methodology): “The most straightforward multilevel model is multilevel regression, with a single outcome variable at the lowest level, and predictor variables at all available levels (Hox et al., 2018; Snijders & Bosker, 2012).”