Cited by 774Statistical Methods and Bayesian InferenceSpatial and Panel Data AnalysisStatistical Methods and Applications

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Multilevel and Longitudinal Modeling with IBM SPSS

Heck, Ronald H.·2013·Routledge eBooks

DOI 10.4324/9780203701249

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Abstract

This book demonstrates how to use multilevel and longitudinal modeling techniques available in the IBM SPSS mixed-effects program (MIXED). Annotated screen shots provide readers with a step-by-step understanding of each technique and navigating the program. Readers learn how to set up, run, and interpret a variety of models. Diagnostic tools, data management issues, and related graphics are introduced throughout. Annotated syntax is also available for those who prefer this approach. Extended examples illustrate the logic of model development to show readers the rationale of the research questions and the steps around which the analyses are structured. The data used in the text and syntax examples are available at www.routledge.com/9780415817110. Highlights of the new edition include: Updated throughout to reflect IBM SPSS Version 21. Further coverage of growth trajectories, coding time-related variables, covariance structures, individual change and longitudinal experimental designs (Ch.5). Extended discussion of other types of research designs for examining change (e.g., regression discontinuity, quasi-experimental) over time (Ch.6). New examples specifying multiple latent constructs and parallel growth processes (Ch. 7). Discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures (Ch.1). The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques which facilitate working with multilevel, longitudinal, and cross-classified data sets. Chapters 3 and 4 introduce the basics of multilevel modeling: developing a multilevel model, interpreting output, and trouble-shooting common programming and modeling problems. Models for investigating individual and organizational change are presented in chapters 5 and 6, followed by models with multivariate outcomes in chapter 7. Chapter 8 provides an illustration of multilevel models with cross-classified data structures. The book concludes with ways to expand on the various multilevel and longitudinal modeling techniques and issues when conducting multilevel analyses. It's ideal for courses on multilevel and longitudinal modeling, multivariate statistics, and research design taught in education, psychology, business, and sociology.

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“Given that the ICC exceeds the recommended threshold of 5 per cent (Heck et al., 2013; LeBreton & Senter, 2008 ), the use of Mixed-Effects Models is justi - fied in our analyses.”
Using Telehealth in End-of-Life Palliative Care: A Multimethod Randomized Controlled Trial
Sigaard, J. V. A., Spindler, H., Joensen, E. D. R., Ritterbusch, E. S. B., Rasmussen, M. K., & Dinesen, B. (2026) · Journal of Palliative Medicine · doi:10.1177/10966218261444643
“26 Despite negative skewness in some EORTC QLQ-C15-PAL subscales, residuals were normally distributed, supporting model validity.”
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“This interpretation is also supported by the fact that all school district variance components are statistically signi ﬁ cant at the 0.001 level con ﬁ rming the relevance of institutional context in shaping student academic achievement (Heck et al., 2014).”
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“Following Heck et al. (2013)—who show that clusters with fewer than five cases produce unstable random-effect estimates—we excluded schools with < 5 tested students.”
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Virtuality in Teams: A Multilevel Analysis of Its Effects on Innovation and Satisfaction
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Why are levels of human values fundamental to understanding individual attitude regarding climate change?
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Authors: Heck, R. H.
Corresponding author: Heck, Ronald H.
ORCID: Heck, Ronald H.
Venue: Routledge eBooks
Publisher: Routledge
Published: 2013-08-22
DOI: 10.4324/9780203701249
OpenAlex: W4302348542
Cited by: 774
References: 0
Citations by year: 2026: 33 · 2025: 61 · 2024: 72 · 2023: 92 · 2022: 80 · 2021: 85 · 2020: 62 · 2019: 60 · 2018: 54 · 2017: 71 · 2016: 53 · 2015: 22 · 2014: 14 · 2013: 6
FWCI: 7.23
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 modeling, longitudinal modeling, growth trajectories, covariance structure, personal transformation, regression discontinuity design, quasi-experimental design, missing data, sampling weights, cross-classified data, multivariate outcomes, organizational change

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