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An Introduction to Multilevel Modeling for Social and Personality Psychology

John B. Nezlek
2008 Social & Personality Psychology Compass  
To help realize this potential, this article provides an introduction to multilevel modeling with an emphasis on some of its applications in social and personality psychology.  ...  This introduction includes a description of multilevel modeling, a rationale for this technique, and a discussion of applications of multilevel modeling in social and personality psychological research  ...  He has written numerous articles and chapters describing how to use multilevel modeling to analyze the types of data social and personality psychologists collect and has published numerous papers describing  ... 
doi:10.1111/j.1751-9004.2007.00059.x fatcat:v5d4lin74nfmhoyvb7ptg43oqe

Applications of multi-level models to research policy and higher education studies [article]

Anne-Marie Jeannet, Benedetto Lepori
2019 Zenodo  
The former part focuses on the rationale for multi-level modeling and how it can be applied to research in the field the higher education.  ...  This multilevel short course is aimed at providing an introduction to multi-level modeling as a research method for RISIS researchers and give them the tools to apply the method to their work.  ...  Do not exploit the theoretical opportunities of multi-level research propositions How to use Multilevel Models When building your multi-level model, you will need to tailor it to: -type of response  ... 
doi:10.5281/zenodo.2560127 fatcat:uiy35jtvdvh3loagfumabkla24

Data Analysis Using Regression and Multilevel/Hierarchical Models

Joseph M. Hilbe
2009 Journal of Statistical Software  
The text, which is how I shall henceforth refer to Gelman and Hill's text, is general work on linear models, with an emphasis on multilevel or hiearchical models.  ...  It uses R throughout the book for examples, and is an excellent teaching guide for learning how to employ R for statistical modeling.  ...  If intercepts and slopes are to vary, then the modeling is advanced to linear mixed models, or multilevel models, using lmre.  ... 
doi:10.18637/jss.v030.b03 fatcat:oatymrc2kzc7zbsuzvthtjlmma

Using multilevel modeling and mixed methods to make theoretical progress in microfoundations for strategy research

Herman Aguinis, José F Molina-Azorín
2015 Strategic Organization  
We describe multilevel modeling and mixed methods as methodological approaches whose use will allow for theoretical advancements.  ...  The microfoundations research agenda presents an expanded theoretical perspective because it considers individuals, their characteristics, and their interactions as relevant variables to help us understand  ...  Using multilevel modeling and mixed methods to make theoretical progress [Insert Table 1 and Table 2 here] Table 1 shows that multilevel modeling can be used to investigate cross-level direct effects  ... 
doi:10.1177/1476127015594622 fatcat:vl53w2pszjfhnk4f5p3ap3gstm

Evaluating kin and group selection theory as tools for analyzing microbial data [article]

jeff smith, R. Fredrik Inglis
2019 bioRxiv   pre-print
How to properly formulate social evolution theory has also been contentious. Here we evaluate kin and multilevel selection theory as tools for analyzing microbial data.  ...  We find that the canonical formulations of both kin and multilevel selection are almost always poor analytical tools because they use statistical regressions that are poorly specified for the strong selection  ...  Interpreted results and organized their presentation: js, RFI. Wrote manuscript: 445 js, RFI.  ... 
doi:10.1101/742122 fatcat:imsunne62zbdndj7j3jgsic45e

Multilevel Research in Information Systems: Concepts, Strategies, Problems, and Pitfalls

France Bélanger, Meghann Cefaratti, Traci Carte, Steven Markham
2014 Journal of the AIS  
In this paper, we discuss the issues that result from not explicitly recognizing the multilevel nature of one's work and offer guidance on how to identify and explicitly conduct multilevel IS research.  ...  Such explicit consideration of multilevel issues in future IS research will not only improve IS research but contribute to the larger discourse on multilevel research.  ...  However, these tools may be difficult to use when one is not accustomed to using the multilevel features.  ... 
doi:10.17705/1jais.00371 fatcat:ad3io4nny5fnfpxxknrkgdzq2y

Translating multilevel theory into multilevel research: challenges and opportunities for understanding the social determinants of psychiatric disorders

Erin C. Dunn, Katherine E. Masyn, Monica Yudron, Stephanie M. Jones, S. V. Subramanian
2014 Social Psychiatry and Psychiatric Epidemiology  
In the third section, we describe two methods being used as alternatives to traditional multilevel modeling techniques to better bridge multilevel theory and multilevel research.  ...  These are: (1) multilevel factor analysis and multilevel structural equation modeling; and (2) dynamic systems approaches.  ...  That is, there is a gap in knowledge and empirical practice regarding how to best empirically test multilevel theories, or translate multilevel theory into appropriate statistical models that use appropriate  ... 
doi:10.1007/s00127-013-0809-5 pmid:24469555 pmcid:PMC4067412 fatcat:hytkijelbrdxjjexly5vrt3maa

Multilevel Analysis in Public Health Research

Ana V. Diez-Roux
2000 Annual Review of Public Health  
The use of multilevel analysis raises theoretical and methodological issues related to the theoretical model being tested, the conceptual distinction between group-and individual-level variables, the ability  ...  to differentiate "independent" effects, the reciprocal relationships between factors at different levels, and the increased complexity that these models imply.  ...  Because neighborhoods can be thought of as groups or contexts with individuals nested within them, multilevel models have been used to investigate how neighborhood factors, individual-level factors, and  ... 
doi:10.1146/annurev.publhealth.21.1.171 pmid:10884951 fatcat:7kc73v3fqbe4pm5ikehiqldoii

Editorial: Recent Advancements in Structural Equation Modeling (SEM): From Both Methodological and Application Perspectives

Oi-Man Kwok, Mike W. L. Cheung, Suzanne Jak, Ehri Ryu, Jiun-Yu Wu
2018 Frontiers in Psychology  
On this research topic, Zhu and Gonzalez have demonstrated how to analyze multilevel data with strong floor effects using multilevel SEM and examined the impact of ignoring these floor effects when using  ...  assumptions to the expansion of SEM to incorporate multilevel and crossclassified data that are common in the social sciences.  ...  On this research topic, Zhu and Gonzalez have demonstrated how to analyze multilevel data with strong floor effects using multilevel SEM and examined the impact of ignoring these floor effects when using  ... 
doi:10.3389/fpsyg.2018.01936 pmid:30356842 pmcid:PMC6190731 fatcat:k4mfhttchzgtzigxm7pzkgskd4

Exposing Latent Hierarchies for Large-Scale Design and Discovery

Zichao Di, Sven Leyffer, Matthew Otten, Stefan Wild
2017 Figshare  
Whitepaper submitted to the 2017 DOE ASCR Applied Math Meeting addresses the advancing in numerical optimization for large-scale scientific discovery in complex physics.  ...  Based on the given objective function, the challenges are: 1) how to design the coarse level surrogate model when the hierarchy is not obvious; 2) How to directly construct the coarse level surrogate model  ...  Additionally required are mathematical algorithms that, when coupled with complex modeling approaches and parallel techniques, can be scaled up to the size and structure necessary to handle the challenges  ... 
doi:10.6084/m9.figshare.5339416 fatcat:d6juq3b3vjguvbvvkwmpyf7lym

Multilevel Research in the Field of Organizational Behavior

Patrícia Lopes Costa, Ana Margarida Graça, Pedro Marques-Quinteiro, Catarina Marques Santos, António Caetano, Ana Margarida Passos
2013 SAGE Open  
The goals of this article are (a) to understand what has been done, during this decade, in the field of organizational multilevel research and (b) to suggest new arenas of research for the next decade.  ...  During the last 30 years, significant debate has taken place regarding multilevel research. However, the extent to which multilevel research is overtly practiced remains to be examined.  ...  Moreover, Albright and Marinova (2010) have recently presented a brief review on how to estimate multilevel models using SPSS, Stata, SAS, and R, thus making important contributions to the advances of  ... 
doi:10.1177/2158244013498244 fatcat:d4dlevjpkjgv7bmxwphlgp6s7e

Multilevel Analysis of Infectious Diseases

Ana V. Diez Roux, Allison E. Aiello
2005 Journal of Infectious Diseases  
In this article, we review the fundamentals of multilevel modeling, the applications of multilevel models for the examination of STIs, and the key challenges associated with using multilevel modeling for  ...  Areas in which multilevel modeling can be applied to sexually transmitted infection (STI) research include examining how both group-level and individual-level factors are related to individual-level STI  ...  [46] used multilevel modeling to examine how individual-level factors (e.g., sex, use of cocaine, and antisocial personality disorder) and prevalence of AIDS at the drug-treatment site (a group-level  ... 
doi:10.1086/425288 pmid:15627228 fatcat:dqxvsfyrbzhq3fdu6jl64s5iqu

Analyzing multiple outcomes in clinical research using multivariate multilevel models

Scott A. Baldwin, Zac E. Imel, Scott R. Braithwaite, David C. Atkins
2014 Journal of Consulting and Clinical Psychology  
Method and Results-Using simulated longitudinal treatment data, the authors show how multivariate models extend common univariate growth models and how the multivariate model can be used to examine multivariate  ...  The authors discuss multivariate extensions to the multilevel model that can be used by psychotherapy researchers.  ...  Atkins' effort was supported by Award Number R01 AA019511 from the National Institute on Alcohol Abuse and Alcoholism (NIAAA).  ... 
doi:10.1037/a0035628 pmid:24491071 pmcid:PMC4119868 fatcat:fkml6f4skzbtdmbaf4o5i4p6na

Spatial dependence multilevel model of well-being across regions in Europe

Adi Cilik Pierewan, Gindo Tampubolon
2014 Applied Geography  
Using spatial dependence multilevel model, the results show well-being to be spatially dependent through unobserved factors, meaning that well-being clusters because of clustering of unobserved factors  ...  This study examines how nested and spatial structures explain variations in individual wellbeing across regions in Europe.  ...  We would also like thank to Sujarwoto, Devi Femina, Paul Widdop, Citra Jaya, Asri Maharani and Wulung Hanandita and the anonymous reviewers for their help in improving this manuscript.  ... 
doi:10.1016/j.apgeog.2013.12.005 fatcat:djmhmj5rybcbhjaiuf6scfc2pq

An Introduction to Multilevel Modeling for Research on the Psychology of Art and Creativity

Paul J. Silvia
2007 Empirical Studies of the Arts  
Multilevel modeling, also known as hierarchical linear modeling and random coefficient modeling, enables researchers to test old hypotheses more powerfully and to ask new research questions.  ...  The breadth, flexibility, and power of multilevel modeling make it a useful analytic tool for the multilevel data that researchers have been collecting all along.  ...  The rest of this article describes how multilevel modeling can be used in practice. These examples will illustrate issues and advantages unique to multilevel modeling.  ... 
doi:10.2190/6780-361t-3j83-04l1 fatcat:cruoksmkercyhcasf3qy5d37um
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