Multilevel analysis: Techniques and applications, 2nd ed.

By Joop J. Hox. 2010

3,016 citations recorded by the source corpus.

Subfields: Health

View Paper: https://www.semanticscholar.org/paper/e011485fcc5c0df7bca6179516ed37f25ec7948b

How researchers see this paper

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

In Health

Citations in the corpus

Reducing bias due to systematic attrition in longitudinal studies: The benefits of multiple imputation (2014, background): “…for selective attrition.8 Similarly, if the longitudinal analyses are based on multi-level models where individual slopes are estimated at Level 1, steps 3 and 4 can be skipped because the standard Empirical Bayes (EB) estimation procedure controls for selective attrition (see, e.g. Hox, 2010).”
The Thin Line Between Empowering and Laissez-Faire Leadership: An Expectancy-Match Perspective (2018, methodology): “, more than 1 follower in the sample shared the same leaders), there is potentially shared variance between the leaders (Hox, 2010).”
Power struggles (2018, neutral): “Formula-based approaches can often be found in books specializing in multilevel modeling and longitudinal design (Ahn, Heo, & Zhang, 2015; Fitzmaurice, Laird, & Ware, 2012; Gelman & Hill, 2006; Hox, 2010; Liu & Liang, 1997; Moerbeek & Teerenstra, 2016; Moerbeek, Van Breukelen, & Berger, 2008; Snijde”
Socially Responsible Human Resource Management and Employee Support for External CSR: Roles of Organizational CSR Climate and Perceived CSR Directed Toward Employees (2017, methodology): “The hierarchal data structure leads to gross errors of prediction if a researcher uses statistical approaches (such as ordinary least squares regression) that are not designed to model data structures that include dependence due to clustering of entities (Bliese and Hanges 2004; Hox 2010; Snijders a”
Experience Sampling Methods: A Discussion of Critical Trends and Considerations for Scholarly Advancement (2018, background): “This perspective is consistent with experts (e.g., Hox, 2010; Raudenbush & Bryk, 2002) who argue that substantial within-person variability, or low stability, in Level 1 outcomes is a prerequisite for examining ESM data using multilevel analyses.”
Acculturative Stress or Resilience? A Longitudinal Multilevel Analysis of Sojourners’ Stress and Self-Esteem (2013, methodology): “Conceptually similar to ANOVA and regression, multilevel models are particularly suitable for nested research data (Hox, 2010), such as completed timewaves within individuals.”
The Education Effect: Higher Educational Qualifications are Robustly Associated with Beneficial Personal and Socio-political Outcomes (2015, methodology): “For each outcome variable, initial analyses indicated that a multilevel regression model that accounted for the clustering of individuals within waves was a better fit to the data than a single level model (assessed using Deviance tests; Hox 2002).”
Validation of the Italian Versions of the Flourishing Scale and of the Scale of Positive and Negative Experience (2017, background): “Generally, CFI and TLI values larger than .90 are taken to indicate acceptable fit, although values greater than .95 are desirable (Hox, 2010).”
Technology readiness: a meta-analysis of conceptualizations of the construct and its impact on technology usage (2019, methodology): “Hox (2010) recommended this approach as it is unlikely that samples reporting multiple measurements are independent of one another.”
Inmates’ Experiences with Prison Visitation (2019, methodology): “When using nested data, the assumptions in typical regression—that observations are independent, and that error terms are uncorrelated—are violated (Hox, 2010; Raudenbush & Bryk, 2002).”
Leader-member exchange, work engagement, and job performance (2015, methodology): “As alluded to above, we used multilevel analyses because regular structural equation modeling analyses would violate the independence assumption underlying this technique (Hox, 2010).”
Procrastination out of Habit? The Role of Impulsive Versus Reflective Media Selection in Procrastinatory Media Use (2018, methodology): “Although low levels of procrastination seem plausible from a theoretical point of view (see Discussion), they may have implications for data analysis and lead to misspecifications if the variable does not vary inter- and/or intraindividually (Hox, 2010).”