Multilevel Statistical Models

By R. Lehtonen. 2005

2,577 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/3984c6ea928f0659a82ffa48c8e72430a826d0eb

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In General Social Sciences

Citations in the corpus

A new perspective on a fundamental debate: a multilevel approach to industry, corporate, and business unit effects (2006, methodology): “Moreover, although several multilevel statistical techniques and software packages are available (e.g., Goldstein, 1995; Rasbash and Woodhouse, 1995), the relative ease of use and accessibility of HLM (Hofmann, 1997) makes it attractive for strategic management researchers and practitioners.”
Intermediate and advanced topics in multilevel logistic regression analysis (2017, background): “Many of the early developers of multilevel models worked within the field of education research [2,4].”
Non-specialist teachers' confidence to teach PE: the nature and influence of personal school experiences in PE (2008, background): “Multilevel analyses enable the researcher the opportunity to obtain statistically efficient estimates of regression coefficients and accurate standard errors, confidence intervals, and significance tests (Goldstein, 1995, p. 3).”
Student Engagement in Campus-Based and Online Education: University Connections (2006, background): “The growing field of multilevel statistical analysis (Hox, 1995; Bosker and Snijders, 1999; Goldstein, 1999) underlines the importance of investigating whether the variable reliabilities obtained when calculated at the student level are consistent at aggregated levels.”
Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data* (2014, background): “: These variances and covariances can be used to form quadratic ‘variance functions’ (Goldstein 2010, 73) to see how the variance varies with xij xj .”
Multilevel ordinal models for examination grades (2003, methodology): “Individual responses follow a multinomial distribution determined by their set of grade probabilities, although estimation procedures can allow for extra-multinomial variation (Goldstein, 1995).”
Women’s status and domestic violence in rural Bangladesh: Individual- and community-level effects (2003, methodology): “We used a multilevel logit model (Goldstein 1995) with two levels of structures in which parameter estimates are adjusted for cluster-level correlation and unobserved heterogeneity.”
On Multilevel Model Reliability Estimation From the Perspective of Structural Equation Modeling (2006, background): “At the same time, another methodology has also been steadily gaining in popularity, hierarchical linear and nonlinear modeling (more commonly referred to as multilevel modeling—MLM; Goldstein, 1995; Raudenbush & Bryk, 2002).”
An empirical assessment of the influence of customer emotions and contact employee performance on encounter and relationship satisfaction (2004, methodology): “, 1998) was employed which computes iterative generalized least squares (IGLS) estimates by means of an iterative approach known as the EM algorithm (Bryk and Raudenbush, 1992; Goldstein, 1995).”
Technical Guide for Latent GOLD 5.1: Basic, Advanced, and Syntax 1 (2016, methodology): “Another important application of CFactors involves random-effects modeling using any of the generalized linear models implemented in the Regression submodule (Agresti, Booth, Hobert, and Caffo, 2000; Goldstein, 1995; Hedeker, 2003; Hedeker and Gibbons, 1996; Snijders and Bosker, 1999; Skrondal and R”
Exploring the economic and social determinants of psychological well‐being and perceived social support in England (2005, methodology): “…that we adopt is the random-effects ordered probit model, which is starting to become more widely used in empirical applications and is now a standard option in several statistical and econometric packages (see Fielding (1999), Frechette (2001), Goldstein (2003) and Snijders and Bosker (1999)).”
Ecological, social, and reproductive factors shape producer–scrounger dynamics in baboons (2009, methodology): “Once parameter estimates (fixed and random effects) had stabilized, that is, their SEs reached a constant value, the significance of terms was tested using the Wald statistic, evaluated against the Chi-square distribution (Goldstein 2003).”
US Valuation of the EQ-5D Health States: Development and Testing of the D1 Valuation Model (2005, result): “When this assumption fails to hold, the estimates of fixed and random parameters will still be consistent, though the standard error estimates will be inconsistent in small samples.(41)”
Neighborhood Effects on Economic Self‐Sufficiency: A Reconsideration of the Moving to Opportunity Experiment1 (2008, neutral): “E-mail: sclampet@sju.edu MTO Symposium: A Reconsideration of MTO 109 methodologists worked to develop new statistical techniques that would allow the efficient estimation of contextual effects using multilevel data sets (see Raudenbush and Bryk 1992; Goldstein 1995).”
The Design of Cluster Randomized Crossover Trials (2011, background): “For experimental trials in social research, the data structure in the population of interest is often hierarchical; individual subjects are nested within clusters of subjects (for an introduction on the topic, see Goldstein, 2003; Hox, 2002; Raudenbush & Bryk, 2002; Snijders & Bosker, 1999).”
Income inequality and health: what have we learned so far? (2004, methodology): “006 (56) that utilizes the iterative generalized leastsquares algorithm (11).”
Peer Victimization and Academic Achievement in a Multiethnic Sample: The Role of Perceived Academic Self-Efficacy (2008, background): “Most Dutch primary schools have only one class for each grade. addition, z1ij 1 and 0 for the first and the second dependent variables, respectively, and z2ij 1 z1ij (see Goldstein, 1995).”