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Multilevel and Longitudinal Modeling with IBM SPSS
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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“Missing data were handled with a full information maximum likelihood (FIML) method (Heck et al., 2013).”
From Mindfulness-Based Stress Reduction Increases Mental Wellbeing and Emotion Regulation During the First Wave of the COVID-19 Pandemic: A Synchronous Online Intervention Study (2021) · cites this paper as Heck et al., 2013
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Coach and teacher alignment in the context of educational change
Smith, E. P., & Desimone, L. M. (2025) · Journal of Educational Change · doi:10.1007/s10833-025-09528-1 · Cited by 3
“Additionally, accounting for clustering tends to reduce Type I errors regardless (Heck et al., 2013 ), supporting the use of HLM despite this limitation.”
Que, Y. P., & Hu, X. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2505778 · Cited by 3
“To answer RQ2, different random-slope (RS) models in hierarchical linear modelling (HLM) (Heck et al., 2013) were adopted to investigate the moderation effects of individual characteristics on the relationships between BGM condition and self-reports, EEG, eye movements, and HR/HRV measures.”
InfluentialLearning to read in first grade through a reading tutor that employs automatic speech recognition
Bai, Y., Hubers, F., Catia Cucchiarini, A., van Hout, R. W. N. M., & Strik, H. (2025) · Technology Knowledge and Learning · doi:10.1007/s10758-025-09860-8 · Cited by 3
“Following recommendations from Heck, Thomas, and Tabata Heck et al. (2014), variables were selected based on their theoretical relevance to the study’s research questions.”
Factors affecting NBA game performance over the course of a season
Russell, J. L., McLean, B. D., Stolp, S., Strack, D. S., & Coutts, A. J. (2025) · Journal of Sports Sciences · doi:10.1080/02640414.2025.2567778 · Cited by 4
“(Heck et al., 2013) Models using performance based dependent variable assessed only starters and rotation players (Russell et al., 2021a) and those cases with more than 2 minutes of game time and made a defensive or offensive attempt.”
Individual Factors and Innovative Work Behaviours: The Influence of Organisational Culture
Cavaliere, V. F., & Mori, M. (2025) · Creativity and Innovation Management · doi:10.1111/caim.70019 · Cited by 3
Fear of crime and Roma integration
Daskalopoulou, I., Karakitsiou, A., & Malliou, C. (2022) · Journal of Policy Modeling · doi:10.1016/j.jpolmod.2022.03.005 · Cited by 3
Chang-Arana, Á. M., Mavrolampados, A., Thompson, M. R., Pokki, N., & Sams, M. E. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.838041 · Cited by 3
Whitworth, J. W., SantaBarbara, N. J., Nosrat, S., Pebole, M. M., Cripe, B. G., & McKeon, G. (2023) · Mental health and physical activity · doi:10.1016/j.mhpa.2023.100523 · Cited by 3
Capturing growth curves of medical students' clinical skills performance
Colbert‐Getz, J. M., Lappé, K., Gerstenberger, J. P., Milne, C. K., & Raaum, S. E. (2023) · The Clinical Teacher · doi:10.1111/tct.13623 · Cited by 4
Terefe, B., Habtie, A., & Chekole, B. (2024) · International Breastfeeding Journal · doi:10.1186/s13006-024-00629-w · Cited by 3
“For individual i in community j, the model can be represented as [23, 24]:”
MethodWhat About the Influence of Outdoor Quality on Preschoolers’ Cognitive and Social Skills?
Rodrigues, B. C., & Hestenes, L. (2024) · Early Education and Development · doi:10.1080/10409289.2024.2389364 · Cited by 2
“In this analytical technique, the number of clusters determines statistical power (Heck et al., 2014).”
Understanding multilevel organizing: a focus of customer satisfaction on firm performance
Sharma, U., Hult, G. T. M., Morgeson, F. V., et al. (2024) · The Journal of Marketing Theory and Practice · doi:10.1080/10696679.2024.2431237 · Cited by 3
“…at the lower levels is appropriate when the model involves cross-level interactions because the higher-level predictors that moderate lower-level relationship(s) are not affected by within-group adjustments, which is a concern with grand mean centering at lower levels (e.g. Heck et al., 2013).”
Daily associations between sleep and alcohol use among veterans: Acute and cumulative effects
Miller, M. B., Wycoff, A. M., Tracy, E. L., Moskal, K. R., Borsari, B. E., Bartholow, B. D., Steinley, D., & McCrae, C. S. (2025) · Addiction · doi:10.1111/add.16770 · Cited by 3
Terefe, B., Jembere, M. M., & Liyew, B. (2025) · BMC Public Health · doi:10.1186/s12889-025-23605-3 · Cited by 3
“Null model For individual i in community j, the model can be represented as [41, 42]: Where: Y ij is the RTAs or injury status of i th a household member in the j th cluster, µ 00 = is the intercept; that is the probability of having RTAs in the absence of explanatory variables, µ 0j =…”
Multilevel Models for Multilevel Network Dependencies
Tranmer, M., & Lazega, E. (2015) · Springer eBooks · doi:10.1007/978-3-319-24520-1_5 · Cited by 3
Duser, K. V., & Tanabe, C. S. (2018) · Journal of College Student Retention Research Theory & Practice · doi:10.1177/1521025118814164 · Cited by 3
Wilkie, D. P., & Mueller, C. W. (2020) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-020-01068-5 · Cited by 3
A Multi-Rater Latent Growth Curve Model
Soland, J. G., & Kuhfeld, M. R. (2021) · Multivariate Behavioral Research · doi:10.1080/00273171.2021.1925076 · Cited by 3
Daniels, R. J., & Knight, C. A. (2021) · Clinical Biomechanics · doi:10.1016/j.clinbiomech.2021.105488 · Cited by 2
Bapst, M. S., Genoud, P. A., & Hascoët, M. (2022) · European Journal of Psychology of Education · doi:10.1007/s10212-022-00647-4 · Cited by 3
Alvi, T., Rosenfield, D., Sunahara, C. S., Wallmark, Z., Lee, J., & Tabak, B. A. (2022) · Clinical Psychological Science · doi:10.1177/21677026221104735 · Cited by 3
“Before running the GLMM, we first reversed the affect-sharing scale to make it positively skewed and then performed GLMM with a log link and a gamma distribution, which is recommended for positively skewed data (Heck et al., 2014).”
MethodPeer Justice and the Individual
Estreder, Y., Álvarez, P., Martínez‐Tur, V., Cropanzano, R., & Tomás-Marco, I. (2023) · Journal of Business and Psychology · doi:10.1007/s10869-023-09877-9 · Cited by 4
“To examine our hypotheses, we used growth modeling (Duncan et al., 2013), computing hierarchical linear models with SPSS 24 (see Heck et al., 2013).”
Gibbs, N. P., Sloat, E. F., Amrein-Beardsley, A., Cha, D.-J., Mulerwa, O., & Beck, M. (2023) · Studies in Higher Education · doi:10.1080/03075079.2023.2216725 · Cited by 3
Karaduman, A., Karoglu-Eravsar, E. T., Kaya, U., Aydin, A., Adams, M. M., & Kafalıgönül, H. (2023) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2023.06.005 · Cited by 4
Stability of blood lead levels in children with low-level lead absorption
Rio, M. D., Rodriguez, C., Navarro, E. A., Wekumbura, C., Galkaduwa, M. B., Hettiarachchi, G. M., & Sobin, C. A. (2023) · PLoS ONE · doi:10.1371/journal.pone.0287406 · Cited by 3
“25 threshold criteria [39] and a Level 2 Individual Growth Curve model with time as a random effect was calculated; the SUBJECTS option was used to model each subject’s set of random parameters for the repeated effect of time, with an unstructured covariance matrix [33, 39, 42].”
MethodLiu, Z.-J., Hu, J. F., Tian, Y., & Xi, Y.-T. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e20598 · Cited by 5
Estructura psicológica del bienestar docente: justificación de un modelo situado
Dávila, J., Martínez, J. A. H., & Leal-Soto, F. (2023) · Revista de Psicodidáctica · doi:10.1016/j.psicod.2023.11.001 · Cited by 5
Macagno, A., & Molina, P. (2024) · Infant Behavior and Development · doi:10.1016/j.infbeh.2023.101919 · Cited by 3
Camaj, L., Hellmueller, L., Vera, S. V., & Lindner, P. (2024) · Journalism & Mass Communication Quarterly · doi:10.1177/10776990231226403 · Cited by 3
Li, C., & He, S. (2024) · Tijdschrift voor Economische en Sociale Geografie · doi:10.1111/tesg.12616 · Cited by 3
Cross‐notation knowledge of rational numbers predicts fraction arithmetic
Ching, B. H., Li, X. Y., & Chen, T. T. (2024) · British Journal of Educational Psychology · doi:10.1111/bjep.12674 · Cited by 3
The Academic Support Programs for Alleviating Educational Inequality for Low-SES Children in Japan
Takashiro, N. (2024) · Springer eBooks · doi:10.1007/978-3-030-87624-1_412-1 · Cited by 3
Turner, E. H., & Mueller, C. W. (2025) · Community Mental Health Journal · doi:10.1007/s10597-024-01445-6 · Cited by 6
Rethinking the rollercoaster: Resilience and affect in entrepreneurship
Zettel, L. A. (2025) · Strategic Entrepreneurship Journal · doi:10.1002/sej.1533 · Cited by 4
Carvalho, V. S., Estreder, Y., Chambel, M. J., & Castanheira, F. (2025) · Stress and Health · doi:10.1002/smi.70019 · Cited by 7
Does Fiscal Decentralization in Education Funding Affect Equity?
Meoded, R., & BenDavid‐Hadar, I. (2025) · State and Local Government Review · doi:10.1177/0160323x251339424 · Cited by 3
“Specifically, a two-level model is employed, whereby the fiscal budget year is grouped within LAs, allowing residuals to be accounted for at both the time and LA levels (Heck, Thomas, and Tabata 2013).”
InfluentialPreparing for the worst: identifying predictors of school decline as an improvement initiative
Meyers, C. V., Wronowski, M. L., & VanGronigen, B. A. (2021) · Educational Assessment Evaluation and Accountability · doi:10.1007/s11092-020-09349-1 · Cited by 4
“mathematics quintile over time, which also allowed for examining effects of school characteristics on the rate of change in ELA and mathematics quintile (Heck et al. 2014).”
BackgroundMethodInfluentialRamsey, J. R., Lorenz, M. P., Liu, J. T., Posthuma, R. A., & González-Brambila, C. N. (2021) · The International Journal of Human Resource Management · doi:10.1080/09585192.2021.1893786 · Cited by 4
“Following established procedures to evaluate the appropriateness of multilevel modelling (Heck et al., 2014; Raudenbush & Bryk, 2002), we established null models without predictors in order to estimate the amount of variance in perceived innovativeness predicted by organizations and countries…”
MethodThe differing impact of household income on firm emergence by heterogeneous start-up configuration
Nunez, E. (2015) · New England journal of entrepreneurship · doi:10.1108/neje-18-02-2015-b003 · Cited by 3
von Wietersheim, J., Knoblauch, J. D., Rottler, E., Weiß, H., Hartmann, A., Rochlitz, P., Völker, A., Scheidt, C. E., Beutel, M. E., Eckhardt‐Henn, A., et al. (2019) · PPmP - Psychotherapie · Psychosomatik · Medizinische Psychologie · doi:10.1055/a-1038-4708 · Cited by 3
Roessger, K. M., Moy, G. E., Phan, T.-V., Campbell, H., & Parker, D. A. (2020) · Educational Psychology · doi:10.1080/01443410.2020.1806211 · Cited by 3
Brandt, L., Yanagida, T., Campbell, A. N. C., Jones, J. D., Schultes, M.-T., Martinez, S., & Comer, S. D. (2021) · Global Implementation Research and Applications · doi:10.1007/s43477-021-00021-4 · Cited by 3
Kärner, T., & Warwas, J. (2018) · Unterrichtswissenschaft · doi:10.1007/s42010-018-0014-z · Cited by 3
Maternal dynamic respiratory sinus arrhythmia during toddlers’ interactions with novelty
Kiel, E. J., Phelps, R. A., & Brooker, R. J. (2021) · Infancy · doi:10.1111/infa.12392 · Cited by 5
Clancy, A., O’Connor, M., Murphy, E., Connaughton, L., & O’Reilly, G. (2024) · School Psychology International · doi:10.1177/01430343231216971 · Cited by 2
Chen, L. H., Ni, Y.-L., Kuo, C., & Hsu, S. (2024) · The Journal of Positive Psychology · doi:10.1080/17439760.2024.2362434 · Cited by 2
Khoury, J. M. B., Teckchandani, T. A., Nisbet, J., Stewart, S. H., Asmundson, G. J. G., Afifi, T. O., McCarron, M. C. E., Krätzig, G. P., Sauer-Zavala, S. E., Neary, J. P., et al. (2024) · Cognitive Behaviour Therapy · doi:10.1080/16506073.2024.2420636 · Cited by 4
Compassionate mind training for university students – A randomized controlled trial
Andersson, C., Støre, S. J., Säldebjer, H., Gunnarsson, M., Bergsten, K. L., & Osika, W. (2024) · Acta Psychologica · doi:10.1016/j.actpsy.2024.104678 · Cited by 4
Lai, J., Liu, J. H., Zhang, L., Cao, J., Yang, H., Zhang, L., Fang, J., & Wang, X. T. (2025) · Heliyon · doi:10.1016/j.heliyon.2025.e42469 · Cited by 4
Sex(ism) doesn't sell: Disentangling the effects of nudity and sexism in advertising
Hertel, M., Palla, L., & Wolff, H. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.104909 · Cited by 3
Díaz-Vázquez, B., Álvarez-Voces, M., Romero, E., & López‐Romero, L. (2025) · Child and Adolescent Psychiatry and Mental Health · doi:10.1186/s13034-025-00897-2 · Cited by 2
Andersson, U. R., Benito, G. R. G., Lunnan, R., & Tomassen, S. (2025) · Long Range Planning · doi:10.1016/j.lrp.2025.102537 · Cited by 3
How green is my party? Programmatic stances towards environmental protection in Europe
Grzymała-Busse, A. M., Jabkowski, P., & Baranowski, M. (2025) · Party Politics · doi:10.1177/13540688251362003 · Cited by 2
“Since there is only a small difference between countries, it is unnecessary to include any country-level contextual variables to explain differences between countries (see the recommendation by Heck et al. (2013)).”
McColl, K., Mueller, J. E., Martin-Lapoirie, D., Verger, P., Heyerdahl, L. W., Ventelou, B., Botelho-Nevers, É., & Raude, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-14644-2 · Cited by 2
“The ICC was estimated at 0.117, i.e., a value above the threshold of 0.05, which is commonly considered as evidence of data clustering 59 .”
InfluentialLuna, C. M., Dai, S., Pagán, C. R., Liu, C., & Schmitter‐Edgecombe, M. (2025) · The Clinical Neuropsychologist · doi:10.1080/13854046.2025.2592660 · Cited by 2
“…the underlying distributions of missingness, especially for MAR and MNAR, cannot be tested empirically, despite the existence of some tests such as Little’s MCAR test (Schafer & graham, 2002). guidance on handling missing data in intensive longitudinal MLM is limited (heck et al., 2013, Ch 1).”
Díaz-Vázquez, B., Álvarez-Voces, M., Sánchez-Vázquez, C., et al. (2026) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-025-01394-y · Cited by 2
Martín, X. (2019) · JIBS special collections · doi:10.1007/978-3-030-22113-3_25 · Cited by 2
Hennessey, M. N., Herron, J. P., Martin, J. E., et al. (2020) · Exceptionality · doi:10.1080/09362835.2020.1772067 · Cited by 2
Ortega, C., Rubalcaba, P. O., & Martín, Á. C. (2022) · Swiss Political Science Review · doi:10.1111/spsr.12549 · Cited by 2
Team Member Satisfaction, Teamwork Management, and Task Conflict: A Multilevel Model
Dimas, I. D., Alves, M. P., Rebelo, T., & Lourenço, P. R. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-37108-0_2 · Cited by 2
Lobo-Triviño, D., Ponce-Bordón, J. C., García, J. D., et al. (2023) · International Journal of Performance Analysis in Sport · doi:10.1080/24748668.2023.2277579 · Cited by 2
Contribution of Affect and Cognition in Shaping Aesthetic Responses
Stojilović, I. Z. (2023) · Primenjena psihologija · doi:10.19090/pp.v16i2.2432 · Cited by 2
“We used multilevel modelling with crossed random effects analysis, with a within-subject and within-stimuli design (Chang & Lane, 2016; Heck et al., 2013; Hoffman, 2015).”
MethodU.S. Changes in Intimate Partner Violence During the COVID-19 Pandemic
Cannon, C. E. B., First, J. M., Ranjit, Y. S., & Houston, J. B. (2024) · Journal of Loss and Trauma · doi:10.1080/15325024.2024.2366877 · Cited by 2
“…for repeated measures data since they use all available data, are flexible in handling missing data, can account for within subject correlations between the repeated measurements, and the assumption of homogeneity of variance across groups and time points is not necessary (e.g., Heck et al., 2013).”
Assefa, A., Kiros, T., Erkihun, M., et al. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1362900 · Cited by 2
RESOURCE COMMITMENT AND PARTNER SELECTION IN ASYMMETRIC CORPORATE-STARTUP COLLABORATIONS
Pauer, S., Matzler, K., & Herrmann, S. (2024) · International Journal of Innovation Management · doi:10.1142/s1363919624500269 · Cited by 4
Collective Psychological Ownership Leverages Feedback-Seeking for New Venture Performance
Kager, N. V., Sparr, J. L., & Grote, G. (2024) · The Journal of Entrepreneurship · doi:10.1177/09713557241281795 · Cited by 2
A Multilevel Model of Compassion in Healthcare Organizations
Román-Niaves, M. S., Angelis, M. D., Llorens, S., & Salanova, M. (2024) · Journal of Work and Organizational Psychology · doi:10.5093/jwop2024a13 · Cited by 2
Thorén, A., Lindqvist, K., Nemirovski, J. P., & Mechler, J. (2025) · Clinical Child Psychology and Psychiatry · doi:10.1177/13591045251316619 · Cited by 2
Izmirian, S. C., Chang, J. P., & Nakamura, B. J. (2019) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-019-00925-2 · Cited by 2
Buchanan-Pascall, S., Melvin, G. A., Gordon, M. S., & Gray, K. M. (2019) · Parenting · doi:10.1080/15295192.2019.1642084 · Cited by 2
The Impact of Fdi Inflow on Ex-Yugoslav Countries’ Labour Markets
Perić, M. (2019) · International Scientific Conference FINIZ · doi:10.15308/finiz-2019-91-97 · Cited by 2
Bowers, A. J., & Monroe, E. C. (2021) · Leadership and Policy in Schools · doi:10.1080/15700763.2021.1977330 · Cited by 2
Steinmann, S. (2021) · Waxmann Verlag GmbH eBooks · doi:10.31244/9783830994954 · Cited by 5
Does public employment foster or inhibit entrepreneurial intentions?
Zhao, M., Sheng, S., & Yang, X. (2022) · Asia Pacific Journal of Management · doi:10.1007/s10490-022-09852-7 · Cited by 4
“This nested data structure necessitates the use of multilevel modeling techniques, which can overcome the weaknesses of traditional regression models for analyzing hierarchical data (Heck et al., 2014).”
Ragnarsdóttir, G. B., Pétursdóttir, A., Sigurðardóttir, Z. G., Stefánsson, K. K., & Óskarsdóttir, H. (2023) · European Journal of Psychology of Education · doi:10.1007/s10212-023-00688-3 · Cited by 4
“As multilevel linear modeling (MLM) does not require complete data across time points (Heck et al., 2013), the 2002 cohort was, due to convenience, invited to participate in Grade 8 to increase the statistical power of the study.”
Who calls for help? Assessing the reach of the Ohio preschool expulsion prevention partnership
Tebben, E., West, K. Y., Golden, L., Lang, S., & Yoon, S. (2023) · Early Childhood Research Quarterly · doi:10.1016/j.ecresq.2023.10.007 · Cited by 2
Honor Endorsement in Male Youth: A General Risk Factor for Aggressive Behavior?
Kollek, M., & Soellner, R. (2023) · International Journal of Developmental Science · doi:10.3233/dev-230343 · Cited by 2
Roo, B. D., Stichelbaut, N., Hoste, P., Verstraete, K. L., & Bacher, K. (2018) · European Journal of Radiology · doi:10.1016/j.ejrad.2018.12.019 · Cited by 2
Wandschneider, L., Sauzet, O., Breckenkamp, J., Spallek, J., & Razum, O. (2020) · Frontiers in Public Health · doi:10.3389/fpubh.2020.00136 · Cited by 2
“The multilevel analysis represents a specific form of regression analysis which allows to examine context and individual factors simultaneously by applying a hierarchical system of regression equations (32).”
BackgroundMethodSpiteri, K., de Caro, J. X., England, K., Calleja, N., Smith, L., Grafton, K., & Broom, D. R. (2021) · Journal of Ageing and Longevity · doi:10.3390/jal1010003 · Cited by 2
“PA as a continuous variable was considered the dependent variable [29].”
BackgroundMethodPsychometric Properties of the Multidimensional Temperance Scale in Adolescents
García-Vázquez, F. I., Valdés‐Cuervo, A. A., Villarreal, A. G. N., Parra-Pérez, L. G., Durón-Ramos, M. F., & Fimbres-Celaya, D. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182312727 · Cited by 2
Family Ties and Civic Virtues: A Comparison between the East and the WestPreprint
Gan, S. T., Bomhoff, E. J., & Lee, G. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2175404 · Cited by 2
“parameter estimates (Hox, 2002; Heck et al., 2010).”
Goozée, R., Barrable, A., Ļubenko, J., et al. (2021) · doi:10.31234/osf.io/bm9g4 · Cited by 2
Mastery, physical activity and psychological distress in mid-aged adults
Nović, A., Seib, C. A., & Burton, N. W. (2023) · Australian Journal of Psychology · doi:10.1080/00049530.2022.2153623 · Cited by 2
Treatment Focus Diffusion is Associated with Long-term Outcomes in Youth Public Mental Health Care
Holmes, K. L., & Mueller, C. W. (2023) · Journal of Child and Family Studies · doi:10.1007/s10826-023-02680-3 · Cited by 1
“An initial null two-level model did not support the use of MLM analyses as there was very little variance accounted for at the therapist level (3%; Heck et al., 2013).”
BackgroundMethodGill, M. J., & Zungu, S. P. (2023) · PLoS ONE · doi:10.1371/journal.pone.0291729 · Cited by 1
Cricchio, M. G. L., Stefanelli, F., Menesini, E., & Nocentini, A. (2023) · Cyberpsychology Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2023-5-4 · Cited by 1
Rancher, C. E., Hanson, R. F., Williams, L. M., Saunders, B. E., & Smith, D. W. (2023) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2023.106596 · Cited by 1
Effects of online leisure education on leisure behaviors and experiences among university students
Kono, S., Cho, S. J., Dattilo, J., & Nagata, S. (2024) · Journal of Leisure Research · doi:10.1080/00222216.2024.2305767 · Cited by 2
Lee, S. C., Nugent, G., Kunz, G. M., & Houston, J. E. (2024) · Journal of Science Teacher Education · doi:10.1080/1046560x.2024.2327774 · Cited by 1
Villanueva, L., Maciel, L., Pomares, A. G., Gouveia‐Pereira, M., Adrián, J., Costa, M. S. A., Rocha, A. S., Ximenes, J. M., Garcia, M., Rouchy, E., et al. (2024) · Journal of Interpersonal Violence · doi:10.1177/08862605241270016 · Cited by 2
“Poisson regression models are also suitable for a count outcome, but in this case, these were not an option as the criminal variety outcome variable was positively skewed and over-dispersed (Heck et al., 2013).”
Understanding Color Interaction Effects in Accommodation Listing Images
Barnes, S. J. (2024) · Journal of Travel Research · doi:10.1177/00472875241301717 · Cited by 1
Bidirectional links between sleep and pain among heavy-drinking veterans with insomnia
Tracy, E. L., So, C. J., Shoemaker, S. D., Kanaley, J. A., Trull, T. J., Manrique‐Acevedo, C., McCrae, C. S., Borsari, B. E., & Miller, M. B. (2024) · SLEEP Advances · doi:10.1093/sleepadvances/zpae089 · Cited by 1
“Multilevel modeling was used to examine within-(Level 1) and between-person (Level 2) effects of sleep variables on pain intensity and vice versa [35].”
Loconsole, A., Colella, A., Coppola, G., Barbaro, M. G. F., & Dibello, D. (2025) · Clinical Pediatrics · doi:10.1177/00099228251314220 · Cited by 1
“27”
Akbarpoor, H., & Monajjem, S. (2025) · Journal of Transportation Engineering Part A Systems · doi:10.1061/jtepbs.teeng-8559 · Cited by 1
Coelho, V. A., Sousa, M., Marchante, M., & Cruz, S. (2025) · School Psychology Review · doi:10.1080/2372966x.2025.2464527 · Cited by 1
“In the context of the current dataset, it was imperative to consider that students sharing the same classrooms had a significantly higher probability of providing highly correlated responses, as described by Heck et al. (2013).”
Leseba, N., Vermaak, K., & Makatjane, T. J. (2025) · BMC Nutrition · doi:10.1186/s40795-025-01030-4 · Cited by 1
“The interclass correlation (ICC) of 0.054 and chi-square value of 19.91 with a p-value of 0.0000 from the null model provided evidence of clustering [27].”
InfluentialGunnars, F. (2025) · Technology Knowledge and Learning · doi:10.1007/s10758-025-09832-y · Cited by 2
“As seen in the previous study with a methodological-testing research focus (Gunnars, 2024a), stress values of the smartbands are most likely intended to high-light exertion levels through electrodermal activity readings, as the attribute presented summarized and intuitive integer values.”
InfluentialYilmaz, S., Huguet, A., Kisely, S. R., Rao, S., Wang, J., Price, M., Morriss, R. K., Inder, M., Perich, T., & Wright, K. A. (2025) · Psychological Medicine · doi:10.1017/s0033291725001023 · Cited by 1
Metadata
- Authors
- Heck, R. H.
- Corresponding author
- Heck, Ronald H.
- ORCID
- Heck, Ronald H.
- Venue
- Routledge eBooks
- Publisher
- Routledge
- Published
- 2013-08-22
- 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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