Multilevel modelling of complex survey data
By Sophia Rabe-Hesketh, A. Skrondal. 2006
640 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Sociology and Political Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a38013a0a376edf2be66b38e5f00cee273be76f3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Daniel M. McNeish
- Laura M. Stapleton
- A. Chmielewski
- Andrew S. Belasco
- Ji Seung Yang
- Sophia Rabe-Hesketh
- A. Skrondal
- Jihyun Hwang
In Sociology and Political Science
- A. Chmielewski
- Andrew S. Belasco
- Daniel M. McNeish
- Laura M. Stapleton
- Jihyun Hwang
- Yeajin Ham
- Ji Seung Yang
- Sophia Rabe-Hesketh
In Statistics and Probability
- Daniel M. McNeish
- Sophia Rabe-Hesketh
- Laura M. Stapleton
- A. Skrondal
- A. Chmielewski
- Andrew S. Belasco
- Ji Seung Yang
- Jihyun Hwang
Citations in the corpus
- Prediction in multilevel generalized linear models (2009, methodology): “(For simplicity, we have ignored sampling weights here and refer to Rabe-Hesketh and Skrondal (2006) for pseudo-maximum-likelihood estimation taking the complex survey design of the PISA study into account.)”
- An International Comparison of Achievement Inequality in Within- and Between-School Tracking Systems (2014, methodology): “Following Rabe-Hesketh and Skrondal (2006), student weights are transformed to conditional within-school weights for the three-level models and conditional within-country weights for the two-level models.”
- International Large-Scale Assessment Data (2010, background): “In particular, issues of weight scaling and parameter estimation are important considerations, and approaches differ (e.g., Asparouhov & Muthén, 2006; Chantala & Suchindran, 2006; Pfeffermann, Skinner, Holmes, Goldstein, & Rasbash, 1998; Rabe-Hesketh & Skrondal, 2006).”
- Creating College Opportunity: School Counselors and Their Influence on Postsecondary Enrollment (2013, methodology): “I therefore incorporated variables indicating the stratum and cluster to which each observation belonged, as well as student-level and school-level sampling weights, the former of which were scaled to improve the efficiency of my estimates (Rabe-Hesketh and Skrondal 2006).”
- RELATIONSHIP BETWEEN MATHEMATICAL LITERACY AND OPPORTUNITY TO LEARN WITH DIFFERENT TYPES OF MATHEMATICAL TASKS (2021, methodology): “First, because our research interests were solely at the student level, the data analysis required to use student weights in data analysis (Asparouhov & Muthen, 2006).”
- Multilevel and Single-Level Models for Measured and Latent Variables When Data Are Clustered (2016, methodology): “…the slight loss of precision 4For advice on modeling the full complex sample design, see Asparouhov and Muth en (2006); Pfeffermann, Skinner, Holmes, Goldstein, and Rasbash (1998); Rabe-Hesketh and Skrondal (2006); and Stapleton (2006, 2008, 2013). expected by using the single-level approach.”
- Necessity or Opportunity? The Effects of State Fragility and Economic Development on Entrepreneurial Efforts (2019, background): “In our case, individuals belong to a determined region (Aguinis et al., 2013; Rabe-Hesketh & Skrondal, 2006).”
- On the Unnecessary Ubiquity of Hierarchical Linear Modeling (2017, methodology): “…are methods for estimating standard errors of fixed effects for a variety of models, including HLM (i.e., CR-SE and HLM are not mutually exclusive; Kovacevic & Rai, 2003; Pfefferman, Skinner, Holmes, Goldstein, & Rasbash, 1998; Rabe-Hesketh & Skrondal, 2006; Rao, Verret, & Hidiroglou, 2013).”