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S. Kozlowski, K. Klein (2000)
A multilevel approach to theory and research in organizations: Contextual, temporal, and emergent processes.
B. Schneider (1987)
THE PEOPLE MAKE THE PLACEPersonnel Psychology, 40
J. Berkhof, T. Snijders (2001)
Variance Component Testing in Multilevel ModelsJournal of Educational and Behavioral Statistics, 26
P. Bliese, P. Hanges (2004)
Being Both Too Liberal and Too Conservative: The Perils of Treating Grouped Data as though They Were IndependentOrganizational Research Methods, 7
Herman Aguinis, Steve Werner, JéAnna Abbott, C. Angert, Joon Park, D. Kohlhausen (2010)
Customer-Centric Science: Reporting Significant Research Results With Rigor, Relevance, and Practical Impact in MindOrganizational Research Methods, 13
Zhen Zhang, M. Zyphur, Kristopher Preacher (2008)
Testing Multilevel Mediation Using Hierarchical Linear ModelsOrganizational Research Methods, 12
J. Mathieu, Scott Taylor (2007)
A framework for testing meso‐mediational relationships in Organizational BehaviorJournal of Organizational Behavior, 28
Ehri Ryu (2011)
Effects of skewness and kurtosis on normal-theory based maximum likelihood test statistic in multilevel structural equation modelingBehavior Research Methods, 43
J. Mathieu, Herman Aguinis, S. Culpepper, Gilad Chen (2012)
Understanding and estimating the power to detect cross-level interaction effects in multilevel modeling.The Journal of applied psychology, 97 5
David Lahuis, Matthew Ferguson (2009)
The Accuracy of Significance Tests for Slope Variance Components in Multilevel Random Coefficient ModelsOrganizational Research Methods, 12
J. Krull, D. Mackinnon (1999)
Multilevel Mediation Modeling in Group-Based Intervention StudiesEvaluation Review, 23
Daniel Stegmueller (2013)
How Many Countries for Multilevel Modeling? A Comparison of Frequentist and Bayesian ApproachesAmerican Journal of Political Science, 57
James LeBreton, Jenell Senter (2008)
Answers to 20 Questions About Interrater Reliability and Interrater AgreementOrganizational Research Methods, 11
Ying Yuan, D. Mackinnon (2009)
Bayesian mediation analysis.Psychological methods, 14 4
P. Mehta, M. Neale (2005)
People are variables too: multilevel structural equations modeling.Psychological methods, 10 3
Gilad Chen, P. Bliese, J. Mathieu (2005)
Conceptual Framework and Statistical Procedures for Delineating and Testing Multilevel Theories of HomologyOrganizational Research Methods, 8
H. Goldstein (1986)
Multilevel mixed linear model analysis using iterative generalized least squaresBiometrika, 73
K. Yuan, P. Bentler (2007)
3. Multilevel Covariance Structure Analysis by Fitting Multiple Single-Level ModelsSociological Methodology, 37
H. Marsh, O. Lüdtke, A. Robitzsch, U. Trautwein, T. Asparouhov, B. Muthén, B. Nagengast (2009)
Doubly-Latent Models of School Contextual Effects: Integrating Multilevel and Structural Equation Approaches to Control Measurement and Sampling ErrorMultivariate Behavioral Research, 44
David Lahuis, Michael Hartman, Shotaro Hakoyama, P. Clark (2014)
Explained Variance Measures for Multilevel ModelsOrganizational Research Methods, 17
Asim Ansari, K. Jedidi, L. Dubé (2002)
Heterogeneous factor analysis models: A bayesian approachPsychometrika, 67
M. Moerbeek (2004)
The Consequence of Ignoring a Level of Nesting in Multilevel AnalysisMultivariate Behavioral Research, 39
Daniel Bauer, Kristopher Preacher, K. Gil (2006)
Conceptualizing and testing random indirect effects and moderated mediation in multilevel models: new procedures and recommendations.Psychological methods, 11 2
C. Maas, J. Hox (2004)
The influence of violations of assumptions on multilevel parameter estimates and their standard errorsComput. Stat. Data Anal., 46
B. Muthén (1989)
Latent variable modeling in heterogeneous populationsPsychometrika, 54
Ying Yuan, D. Mackinnon (2014)
Robust mediation analysis based on median regression.Psychological methods, 19 1
Craig Enders, Davood Tofighi (2007)
Centering predictor variables in cross-sectional multilevel models: a new look at an old issue.Psychological methods, 12 2
L. Hedges (2007)
Effect Sizes in Cluster-Randomized DesignsJournal of Educational and Behavioral Statistics, 32
Daniel Bauer (2003)
Estimating Multilevel Linear Models as Structural Equation ModelsJournal of Educational and Behavioral Statistics, 28
C. Maas, J. Hox (2005)
Sufficient Sample Sizes for Multilevel ModelingMethodology: European Journal of Research Methods for The Behavioral and Social Sciences, 1
Kristopher Preacher, Zhen Zhang, M. Zyphur (2011)
Alternative Methods for Assessing Mediation in Multilevel Data: The Advantages of Multilevel SEMStructural Equation Modeling: A Multidisciplinary Journal, 18
B. Meuleman, J. Billiet (2009)
A Monte Carlo sample size study: How many countries are needed for accurate multilevel SEM?Survey research methods, 3
M. Cheung, K. Au (2005)
Applications of Multilevel Structural Equation Modeling to Cross-Cultural ResearchStructural Equation Modeling: A Multidisciplinary Journal, 12
Stefanie Naumann, N. Bennett (2002)
The Effects of Procedural Justice Climate on Work Group PerformanceSmall Group Research, 33
M. Hitt, P. Beamish, S. Jackson, J. Mathieu (2007)
Building Theoretical and Empirical Bridges Across Levels: Multilevel Research in ManagementAcademy of Management Journal, 50
Davood Tofighi, F. Thoemmes (2014)
Single-Level and Multilevel Mediation AnalysisThe Journal of Early Adolescence, 34
J. Hox, C. Maas (2001)
The Accuracy of Multilevel Structural Equation Modeling With Pseudobalanced Groups and Small SamplesStructural Equation Modeling: A Multidisciplinary Journal, 8
Kristopher Preacher (2011)
Multilevel SEM Strategies for Evaluating Mediation in Three-Level DataMultivariate Behavioral Research, 46
O. Lüdtke, H. Marsh, A. Robitzsch, U. Trautwein, T. Asparouhov, B. Muthén (2008)
The multilevel latent covariate model: a new, more reliable approach to group-level effects in contextual studies.Psychological methods, 13 3
M. Huhtala, A. Tolvanen, S. Mauno, T. Feldt (2014)
The Associations between Ethical Organizational Culture, Burnout, and Engagement: A Multilevel StudyJournal of Business and Psychology, 30
A. Chica, P. Bartolomeo (2012)
Attentional Routes to Conscious PerceptionFrontiers in Psychology, 3
L. Hedges (2011)
Effect Sizes in Three-Level Cluster-Randomized ExperimentsJournal of Educational and Behavioral Statistics, 36
Shinichi Nakagawa, H. Schielzeth (2013)
A general and simple method for obtaining R2 from generalized linear mixed‐effects modelsMethods in Ecology and Evolution, 4
(2009)
Incorporating Cost in Power Analysis for Three-Level Cluster-Randomized Designs
S. Rabe-Hesketh, A. Skrondal, A. Pickles (2004)
Generalized multilevel structural equation modelingPsychometrika, 69
J. Hackman (2003)
Learning more by crossing levels: evidence from airplanes, hospitals, and orchestrasJournal of Organizational Behavior, 24
K. Pituch, Laura Stapleton (2012)
Distinguishing Between Cross- and Cluster-Level Mediation Processes in the Cluster Randomized TrialSociological Methods & Research, 41
Daniel Bauer, P. Curran (2005)
Probing Interactions in Fixed and Multilevel Regression: Inferential and Graphical TechniquesMultivariate Behavioral Research, 40
Gilad Chen (2005)
Newcomer Adaptation in Teams: Multilevel Antecedents and OutcomesAcademy of Management Journal, 48
D. Hofmann (1997)
An Overview of the Logic and Rationale of Hierarchical Linear ModelsJournal of Management, 23
T. Snijders, R. Bosker (1993)
Standard Errors and Sample Sizes for Two-Level ResearchJournal of Educational Statistics, 18
Craig Enders (2013)
Centering predictors and contextual effects
P. Curran (2003)
Have Multilevel Models Been Structural Equation Models All Along?Multivariate Behavioral Research, 38
Herman Aguinis, S. Culpepper (2015)
An Expanded Decision-Making Procedure for Examining Cross-Level Interaction Effects With Multilevel ModelingOrganizational Research Methods, 18
O. Lüdtke, H. Marsh, A. Robitzsch, U. Trautwein (2011)
A 2 × 2 taxonomy of multilevel latent contextual models: accuracy-bias trade-offs in full and partial error correction models.Psychological methods, 16 4
J. Mathieu, Gilad Chen (2011)
The Etiology of the Multilevel Paradigm in Management ResearchJournal of Management, 37
Adrian Meule (2016)
Dieting and Food Cue-Related Working Memory PerformanceFrontiers in Psychology, 7
Sunhee Lee, R. Dalal (2016)
Climate as situational strength: Safety climate strength as a cross-level moderator of the relationship between conscientiousness and safety behaviourEuropean Journal of Work and Organizational Psychology, 25
C. Maas, J. Hox (2004)
Robustness issues in multilevel regression analysisStatistica Neerlandica, 58
J. Hox, R. Schoot, S. Matthijsse (2012)
How few countries will do? Comparative survey analysis from a Bayesian perspectiveSurvey research methods, 6
Ehri Ryu, S. West (2009)
Level-Specific Evaluation of Model Fit in Multilevel Structural Equation ModelingStructural Equation Modeling: A Multidisciplinary Journal, 16
O. Paccagnella (2006)
Centering or Not Centering in Multilevel Models? The Role of the Group Mean and the Assessment of Group EffectsEvaluation Review, 30
M. Gavin, D. Hofmann (2002)
Using hierarchical linear modeling to investigate the moderating influence of leadership climateLeadership Quarterly, 13
Herman Aguinis, R. Gottfredson, S. Culpepper (2013)
Best-Practice Recommendations for Estimating Cross-Level Interaction Effects Using Multilevel ModelingJournal of Management, 39
Kristopher Preacher, Zhen Zhang, M. Zyphur (2016)
Multilevel structural equation models for assessing moderation within and across levels of analysis.Psychological methods, 21 2
Alexander VandenBerg (2014)
The Not-So-Direct Cross-Level Direct Effect
W. Finch, B. French (2011)
Estimation of MIMIC Model Parameters with Multilevel DataStructural Equation Modeling: A Multidisciplinary Journal, 18
K. Pituch, Laura Stapleton (2008)
The Performance of Methods to Test Upper-Level Mediation in the Presence of Nonnormal DataMultivariate Behavioral Research, 43
M. Sobel (1982)
Asymptotic Confidence Intervals for Indirect Effects in Structural Equation ModelsSociological Methodology, 13
M. Julian (2001)
The Consequences of Ignoring Multilevel Data Structures in Nonhierarchical Covariance ModelingStructural Equation Modeling: A Multidisciplinary Journal, 8
Kristopher Preacher, M. Zyphur, Zhen Zhang (2010)
A general multilevel SEM framework for assessing multilevel mediation.Psychological methods, 15 3
F. Scheipl, S. Greven, H. Küchenhoff (2008)
Size and power of tests for a zero random effect variance or polynomial regression in additive and linear mixed modelsComput. Stat. Data Anal., 52
H. Goldstein, R. Mcdonald (1988)
A general model for the analysis of multilevel dataPsychometrika, 53
Xin Li, S. Beretvas (2013)
Sample Size Limits for Estimating Upper Level Mediation Models Using Multilevel SEMStructural Equation Modeling: A Multidisciplinary Journal, 20
D. Kenny, Josephine Korchmaros, N. Bolger
Lower Level Mediation in Multilevel Models
Radostina Purvanova, J. Bono, Jessica Dzieweczynski (2006)
Transformational Leadership, Job Characteristics, and Organizational Citizenship PerformanceHuman Performance, 19
Gilad Chen, Bradley Kirkman, R. Kanfer, Don Allen, B. Rosen (2007)
A multilevel study of leadership, empowerment, and performance in teams.The Journal of applied psychology, 92 2
M. Croon, M. Veldhoven (2007)
Predicting group-level outcome variables from variables measured at the individual level: a latent variable multilevel model.Psychological methods, 12 1
O. Lüdtke, A. Robitzsch, U. Trautwein, Mareike Kunter (2009)
Assessing the impact of learning environments: How to use student ratings of classroom or school characteristics in multilevel modelingContemporary Educational Psychology, 34
S. Teerenstra, M. Moerbeek, T. Achterberg, B. Pelzer, G. Borm (2008)
Sample size calculations for 3-level cluster randomized trialsClinical Trials, 5
Kristopher Preacher, P. Curran, Daniel Bauer (2006)
Computational Tools for Probing Interactions in Multiple Linear Regression, Multilevel Modeling, and Latent Curve AnalysisJournal of Educational and Behavioral Statistics, 31
B. Muthén, A. Satorra (1995)
Complex Sample Data in Structural Equation ModelingSociological Methodology, 25
J. Peiró (2008)
The Individual in the Changing Working Life: Stress and coping at work: new research trends and their implications for practice
A. Neal, M. Griffin (2006)
A study of the lagged relationships among safety climate, safety motivation, safety behavior, and accidents at the individual and group levels.The Journal of applied psychology, 91 4
D. Hofmann, F. Morgeson, Stephen Gerras (2003)
Climate as a moderator of the relationship between leader-member exchange and content specific citizenship: safety climate as an exemplar.The Journal of applied psychology, 88 1
J. Krull, D. Mackinnon (2001)
Multilevel Modeling of Individual and Group Level Mediated EffectsMultivariate Behavioral Research, 36
T. Snijders, R. Bosker (1994)
Modeled Variance in Two-Level ModelsSociological Methods & Research, 22
Charles Scherbaum, Jennifer Ferreter (2009)
Estimating Statistical Power and Required Sample Sizes for Organizational Research Using Multilevel ModelingOrganizational Research Methods, 12
Nienke Meulman, L. Stowe, Simone Sprenger, M. Bresser, M. Schmid (2014)
An ERP study on L2 syntax processing: When do learners fail?Frontiers in Psychology, 5
Dev Dalal, M. Zickar (2012)
Some Common Myths About Centering Predictor Variables in Moderated Multiple Regression and Polynomial RegressionOrganizational Research Methods, 15
I. Kreft, J. Leeuw, L. Aiken (1995)
The Effect of Different Forms of Centering in Hierarchical Linear Models.Multivariate behavioral research, 30 1
D. Hofmann, M. Gavin (1998)
Centering Decisions in Hierarchical Linear Models: Implications for Research in OrganizationsJournal of Management, 24
R. Mcdonald, H. Goldstein (1989)
Balanced versus unbalanced designs for linear structural relations in two‐level dataBritish Journal of Mathematical and Statistical Psychology, 42
Organizations are multilevel systems. Most organizational phenomena are multilevel in nature, and their understanding involves variables (e.g., antecedents and consequences) that reside at different levels. The investigation of these phenomena requires appropriate analytical methods: multilevel modeling. These techniques are becoming increasingly popular among organizational psychology and organizational behavior (OPOB) researchers. In this article we review the literature that has evaluated the performance of multilevel modeling techniques to test multilevel direct and indirect effects and cross-level interactions. We also provide guidelines for OPOB researchers about the appropriate use of these techniques, and we suggest ways these techniques can contribute to theoretical advancement and research development in OPOB.
Annual Review of Organizational Psychology and Organizational Behavior – Annual Reviews
Published: Mar 21, 2017
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