Hierarchical Linear Modeling: Guide and Applications
By G. Garson. 2012
383 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/9907149dd2a5d257a916ca3a80aa84c1f6e69323
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
In Statistics and Probability
Citations in the corpus
- Parents' Attitudes Towards Science and their Children's Science Achievement (2014, background): “The greater the drop in deviance of the new model, the more likely that the model fit is to be significantly better (Garson, 2012, p. 70).”
- A hierarchical interannual wheat yield and grain protein prediction model using spectral vegetative indices and meteorological data (2020, methodology): “For a detailed description and decription of HLM, readers are referred to Osborne (2000), Garson (2012), and Woltman et al. (2012).”
- The Effects of Student–Faculty Interaction on Academic Self-Concept: Does Academic Major Matter? (2014, methodology): “Cross-classified multilevel modeling is an extension of linear mixed modeling (LMM), including hierarchical linear modeling (HLM) and multilevel modeling, and allows researchers to handle the data that are not completely hierarchical (Raudenbush & Bryk 2002; Garson 2013).”
- When and How Subordinate Performance Leads to Abusive Supervision: A Social Dominance Perspective (2018, methodology): “Thus there is sufficient variance across levels of analysis to encourage the use of the multilevel method of analysis (Garson, 2013). Hence we used HLM 7 to test our hypotheses. Grand-mean centering was used for all independent variables. The Hausman (1978) test was conducted to analyze the presence”
- An integrated model of principal transformational leadership and teacher leadership that is related to teacher self-efficacy and student academic performance (2020, background): “In addition, a multi-level model could incorporate covariates or control variables at different levels in the model (Garson, 2013).”
- The Interplay between Working Capital Management and a Firm’s Financial Performance across the Corporate Life Cycle (2020, methodology): “, industries) so analyzing the data through OLS based regression can cause problems, such as biased estimates of coefficient’s standard errors and wrongfully interpreting significance of the explanatory variables [62].”
- The Effect of Instructional Leadership and Distributed Leadership on Teacher Self-efficacy and Job Satisfaction: Mediating Roles of Supportive School Culture and Teacher Collaboration (2020, methodology): “By doing this, the sample was resampled using the 100 teacher-level BRR weights (final weights), and the standard errors were corrected to appropriately account for the clustered data structure (Garson, 2013).”
- Using the theory of planned behaviour to understand cyberbullying: The importance of beliefs for developing interventions (2014, background): “The unconditional null model (Garson, 2013) showed that there was no significant school effect.”