Analyzing grouped data with hierarchical linear modeling

By Shenyang Guo. 2005

135 citations recorded by the source corpus.

Subfields: Education, Gender Studies, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/8cef32bf22a81b503663731da215594cbcdf81fe

How researchers see this paper

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

In Education

1. E. Vigoda-Gadot
2. Yehuda Baruch
3. Shmuel Grimland
4. M. Clarke
5. A. Hirschi

In Gender Studies

1. E. Vigoda-Gadot
2. Brian K. Payne
3. Yehuda Baruch
4. C. Patterson
5. Shmuel Grimland

In Sociology and Political Science

1. Stephen L. Forssell
2. E. Vigoda-Gadot
3. Brian K. Payne
4. R. Farr
5. Yehuda Baruch
6. C. Patterson
7. Shmuel Grimland
8. Timothy D. Golden

Citations in the corpus

• Implicit Racial/Ethnic Bias Among Health Care Professionals and Its Influence on Health Care Outcomes: A Systematic Review. (2015, background): “Not accounting for clustering during analyses can lead to biased estimated standard errors and spurious results.(66) Multilevel studies also allow researchers to examine the influence of both provider and institutional bias on health care outcomes.”
• Parenting and Child Development in Adoptive Families: Does Parental Sexual Orientation Matter? (2010, background): “Overall, these exceed the cutoff value of 25% suggested to require HLM (Guo, 2005).”
• Career attitudes and success of managers: the impact of chance event, protean, and traditional careers (2012, methodology): “…ICC(2) and rwg parameters (Klein and Kozlowski 2000; Kenny et al. 2002), we identified that ICC(1) of the different variables was in the range of 0.04–0.16, a figure below the 0.25 used as a cut-off level in areas like public administration field and social work (Heinrich and Lynn 2001; Guo 2005).”