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Multilevel Analysis
Abstract
This practical introduction helps readers apply multilevel techniques to their research. Noted as an accessible introduction, the book also includes advanced extensions, making it useful as both an introduction and as a reference to students, researchers, and methodologists. Basic models and examples are discussed in non-technical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines. For example, readers will find data sets on stress in hospitals, GPA scores, survey responses, street safety, epilepsy, divorce, and sociometric scores, to name a few. The data sets are available on the website in SPSS, HLM, MLwiN, LISREL and/or Mplus files. Readers are introduced to both the multilevel regression model and multilevel structural models. Highlights of the second edition include: Two new chapters—one on multilevel models for ordinal and count data (Ch. 7) and another on multilevel survival analysis (Ch. 8). Thoroughly updated chapters on multilevel structural equation modeling that reflect the enormous technical progress of the last few years. The addition of some simpler examples to help the novice, whilst the more complex examples that combine more than one problem have been retained. A new section on multivariate meta-analysis (Ch. 11). Expanded discussions of covariance structures across time and analyzing longitudinal data where no trend is expected. Expanded chapter on the logistic model for dichotomous data and proportions with new estimation methods. An updated website at http://www.joophox.net/ with data sets for all the text examples and up-to-date screen shots and PowerPoint slides for instructors. Ideal for introductory courses on multilevel modeling and/or ones that introduce this topic in some detail taught in a variety of disciplines including: psychology, education, sociology, the health sciences, and business. The advanced extensions also make this a favorite resource for researchers and methodologists in these disciplines. A basic understanding of ANOVA and multiple regression is assumed. The section on multilevel structural equation models assumes a basic understanding of SEM.
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In the citing paper
“By including multiple effect sizes per study, the assumption of independent effect sizes that underlie classical meta‐analytic strategies was violated (Hox, Moerbeek, & Van De Schoot, 2010; Lipsey & Wilson, 2001).”
From Does Natural Mentoring Matter? A Multilevel Meta‐analysis on the Association Between Natural Mentoring and Youth Outcomes (2018) · cites this paper as Hox, Moerbeek, & Van De Schoot, 2010
In the citing paper
“meta-regressions often suffer from a lack of statistical power, due to the limited number of observations per individual relationship (Hox 2010)”
From Understanding and managing customer relational benefits in services: a meta-analysis (2020) · cites this paper as Hox 2010
In the citing paper
“Multiple effect sizes provided by one sample cannot be considered independent (Hox 2010), and ignoring these dependencies can lead to an underestimation of standard errors.”
From Understanding and managing customer relational benefits in services: a meta-analysis (2020) · cites this paper as Hox 2010
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Items 1,001–1,017 of 1,017
Herrmann, K. J., McCune, V., & Bager-Elsborg, A. (2017) · Högre utbildning · doi:10.23865/hu.v7.905 · Cited by 37
Boone, S., Thys, S., Avermaet, P. V., & Houtte, M. V. (2018) · British Educational Research Journal · doi:10.1002/berj.3328 · Cited by 34
Decuypere, A., Audenaert, M., & Decramer, A. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02588 · Cited by 40
Overcoming human capital voids in underdeveloped countries
Wang, S. L., & Cuervo‐Cazurra, A. (2017) · Global Strategy Journal · doi:10.1002/gsj.1144 · Cited by 36
Self-talk and emotions in tennis players during competitive matches
Fritsch, J., Jekauc, D., Elsborg, P., Latinjak, A. T., Reichert, M., & Hatzigeorgiadis, A. (2022) · Journal of Applied Sport Psychology · doi:10.1080/10413200.2020.1821406 · Cited by 30
Livheim, F., Tengström, A., Andersson, G., Dahl, J., Björck, C., & Rosendahl, I. (2020) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2020.03.008 · Cited by 29
Gort, C., Marcusson-Clavertz, D., & Kuehner, C. (2021) · Journal of Rational-Emotive & Cognitive-Behavior Therapy · doi:10.1007/s10942-020-00353-4 · Cited by 29
Becker, D. (2013) · Rationality and Society · doi:10.1177/1043463113504448 · Cited by 28
Bauer, A. A., Loy, L. S., Masur, P. K., & Schneider, F. M. (2017) · Journal of Media Psychology · doi:10.1027/1864-1105/a000225 · Cited by 39
Höller, I., Stenzel, J.-S., Rath, D., & Forkmann, T. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18094893 · Cited by 27
Stress and self-esteem in adolescence predict physical activity and sedentary behavior in adulthood
Carter, J. S. (2018) · Mental health and physical activity · doi:10.1016/j.mhpa.2018.02.005 · Cited by 26
Matko, K., Sedlmeier, P., & Bringmann, H. C. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191811734 · Cited by 21
Session-specific effects of the Metacognitive Training for Obsessive-Compulsive Disorder (MCT-OCD)
Miegel, F., Cludius, B., Hottenrott, B., Demiralay, C., Sure, A., & Jelinek, L. (2020) · Psychotherapy Research · doi:10.1080/10503307.2019.1613582 · Cited by 19
Adolescents’ preference for later school start times
Werner, H., Albrecht, J. N., Widmer, N., Janisch, D., Huber, R., & Jenni, O. G. (2022) · Journal of Sleep Research · doi:10.1111/jsr.13401 · Cited by 17
Eve, Z., Turner, M., Di Basilio, D., Harkin, B., Yates, A., Persson, S., Henry, J., Williams, A., Walton, G., Jones, M. V., et al. (2024) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.2938 · Cited by 14
A Randomized Trial of Brief Online Interventions to Facilitate Treatment Seeking for Social Anxiety.
Tobias, M. R., Landy, L. N., Levin, M. E., & Arch, J. J. (2022) · Behavior Modification · doi:10.1177/01454455211040051 · Cited by 10
Case Managers’ Perceptions of Consumer Work Readiness and Association With Pursuit of Employment
Goscha, R., Kondrat, D. C., & Manthey, T. J. (2013) · Psychiatric Services · doi:10.1176/appi.ps.201200537 · Cited by 9
Metadata
- Authors
- Hox, J., Moerbeek, M., & van de Schoot, R.
- ORCID
- Moerbeek, Mirjam
- Venue
- Routledge eBooks
- Publisher
- Routledge
- Published
- 2010-09-13
- OpenAlex
- W2890373521
- Cited by
- 3,469
- References
- 0
- Citations by year
- 2026: 111 · 2025: 136 · 2024: 148 · 2023: 156 · 2022: 235 · 2021: 309 · 2020: 313 · 2019: 290 · 2018: 327 · 2017: 312 · 2016: 296 · 2015: 284 · 2014: 237 · 2013: 157 · 2012: 101
- FWCI
- 31.72
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Routledge eBooks (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Keywords
- multilevel models, multilevel regression, multilevel structural equation modeling, multivariate meta-analysis, longitudinal data, covariance structure, proportion, hospital stress, street safety, epilepsy, divorce
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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