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Volumn 84, Issue 1, 2016, Pages 175-196

Alternatives to Multilevel Modeling for the Analysis of Clustered Data

Author keywords

Clustered data; DEFF adjusted standard errors; fixed effects model; multilevel modeling

Indexed keywords


EID: 84947036889     PISSN: 00220973     EISSN: 19400683     Source Type: Journal    
DOI: 10.1080/00220973.2014.952397     Document Type: Article
Times cited : (218)

References (64)
  • 3
    • 84947017105 scopus 로고    scopus 로고
    • June. AM. Retrieved from American Institutes for Research
    • American Institutes for Research, & Cohen, J. (2005, June). AM. Retrieved from http://www. am. air. org
    • (2005)
    • Cohen, J.1
  • 4
    • 65549155762 scopus 로고    scopus 로고
    • Modeling certainty with clustered data: A comparison of methods
    • Arceneaux, K., & Nickerson, D. (2009). Modeling certainty with clustered data: A comparison of methods. Political Analysis, 17, 177-190. doi:10. 10983/pan/mpp004
    • (2009) Political Analysis , vol.17 , pp. 177-190
    • Arceneaux, K.1    Nickerson, D.2
  • 5
    • 63049127961 scopus 로고    scopus 로고
    • Multi-campus studies of college impact: Which statistical method is appropriate?
    • Astin, A. W., & Denson, N. (2009). Multi-campus studies of college impact: Which statistical method is appropriate? Research in Higher Education, 50, 354-367.
    • (2009) Research in Higher Education , vol.50 , pp. 354-367
    • Astin, A.W.1    Denson, N.2
  • 7
    • 34248348703 scopus 로고    scopus 로고
    • Bias reduction in standard errors for linear regression with multi-stage samples
    • Bell, R., & McCaffrey, D. (2002). Bias reduction in standard errors for linear regression with multi-stage samples. Survey Methodology, 2, 169-181.
    • (2002) Survey Methodology , vol.2 , pp. 169-181
    • Bell, R.1    McCaffrey, D.2
  • 8
    • 84947029488 scopus 로고    scopus 로고
    • Alternatives for analysis of complex sample surveys: A comparison of SAS, SUDAAN, and AM
    • April, Orlando, FL
    • Bell-Ellison, B., & Kromrey, J. (2007, April). Alternatives for analysis of complex sample surveys: A comparison of SAS, SUDAAN, and AM. Paper presented at the first annual SAS Global Forum, Orlando, FL.
    • (2007) Paper Presented at the First Annual SAS Global Forum
    • Bell-Ellison, B.1    Kromrey, J.2
  • 9
    • 4944261444 scopus 로고    scopus 로고
    • Being both too liberal and too conservative: The perils of treating grouped data as though they were independent
    • Bliese, P. D., & Hanges, P. J. (2004). Being both too liberal and too conservative: The perils of treating grouped data as though they were independent. Organizational Research Methods, 7, 400-417. doi:10. 1177/1094428104268542
    • (2004) Organizational Research Methods , vol.7 , pp. 400-417
    • Bliese, P.D.1    Hanges, P.J.2
  • 11
    • 84864005274 scopus 로고    scopus 로고
    • Kindergarten child care experiences and child achievement and socioemotional skills
    • Claessens, A. (2012). Kindergarten child care experiences and child achievement and socioemotional skills. Early Childhood Research Quarterly, 27, 365-375. doi:10. 1016/j. ecresq. 2011. 12. 005
    • (2012) Early Childhood Research Quarterly , vol.27 , pp. 365-375
    • Claessens, A.1
  • 12
    • 47949122241 scopus 로고    scopus 로고
    • When can group level clustering be ignored? Multilevel models versus single-level models with sparse data
    • Clarke, P. (2008). When can group level clustering be ignored? Multilevel models versus single-level models with sparse data. Journal of Epidemiology and Community Health, 62, 752-758. doi:10. 1136/jech. 2007. 060798
    • (2008) Journal of Epidemiology and Community Health , vol.62 , pp. 752-758
    • Clarke, P.1
  • 13
    • 84861684951 scopus 로고    scopus 로고
    • The choice between fixed and random effects models: Some considerations for educational research
    • Bonn, Germany: Institute for the Study of Labor
    • Clarke, P., Crawford, C., Steele, F., & Vignoles, A. (2010). The choice between fixed and random effects models: Some considerations for educational research. IZA Discussion Paper Series 5287. Bonn, Germany: Institute for the Study of Labor.
    • (2010) IZA Discussion Paper Series 5287
    • Clarke, P.1    Crawford, C.2    Steele, F.3    Vignoles, A.4
  • 16
    • 84863095235 scopus 로고    scopus 로고
    • Rational ignorance in education: A field experiment in student plagiarism
    • Dee, T., & Jacob, B. (2012). Rational ignorance in education: A field experiment in student plagiarism. Journal of Human Resources, 47, 397-434.
    • (2012) Journal of Human Resources , vol.47 , pp. 397-434
    • Dee, T.1    Jacob, B.2
  • 17
    • 0040163566 scopus 로고    scopus 로고
    • Some aspects of the design and analysis of cluster randomization trials
    • Donner, A. (1998). Some aspects of the design and analysis of cluster randomization trials. Journal of the Royal Statistical Society: Series C, 47, 95-113.
    • (1998) Journal of the Royal Statistical Society: Series C , vol.47 , pp. 95-113
    • Donner, A.1
  • 18
    • 21844484840 scopus 로고
    • Inference and hierarchical modeling in the social sciences
    • Draper, D. (1995). Inference and hierarchical modeling in the social sciences. Journal of Educational and Behavioral Statistics, 20, 115-147.
    • (1995) Journal of Educational and Behavioral Statistics , vol.20 , pp. 115-147
    • Draper, D.1
  • 19
    • 0035538790 scopus 로고    scopus 로고
    • Parental involvement and students' academic achievement: A growth modeling analysis
    • Fan, X. (2001). Parental involvement and students' academic achievement: A growth modeling analysis. The Journal of Experimentet alducation, 70, 27-61.
    • (2001) The Journal of Experimentet alducation , vol.70 , pp. 27-61
    • Fan, X.1
  • 20
    • 77956201379 scopus 로고    scopus 로고
    • A study of clustered data and approaches to its analysis
    • Galbraith, S., Daniel, J. A., & Vissel, B. (2010). A study of clustered data and approaches to its analysis. The Journal of Neuroscience, 30, 10601-10608.
    • (2010) The Journal of Neuroscience , vol.30 , pp. 10601-10608
    • Galbraith, S.1    Daniel, J.A.2    Vissel, B.3
  • 21
    • 43149088954 scopus 로고    scopus 로고
    • Analysis of cluster-randomized experiments: A comparison of alternative estimation approaches
    • Green, D., & Vavreck, L. (2008). Analysis of cluster-randomized experiments: A comparison of alternative estimation approaches. Political Analysis, 138-152. doi:10. 1093/pan/mpm025
    • (2008) Political Analysis , pp. 138-152
    • Green, D.1    Vavreck, L.2
  • 22
    • 17244383340 scopus 로고    scopus 로고
    • Multilevel modeling for binary data
    • Guo, G., & Zhao, H. (2000). Multilevel modeling for binary data. Annual Review of Sociology, 26, 441-462.
    • (2000) Annual Review of Sociology , vol.26 , pp. 441-462
    • Guo, G.1    Zhao, H.2
  • 23
    • 30444457239 scopus 로고    scopus 로고
    • A primer for using and understanding weights with national datasets
    • Hahs-Vaughn, D. L. (2005). A primer for using and understanding weights with national datasets. The Journal of Experimentet alducation, 73, 221-248.
    • (2005) The Journal of Experimentet alducation , vol.73 , pp. 221-248
    • Hahs-Vaughn, D.L.1
  • 25
    • 79956266032 scopus 로고    scopus 로고
    • A bootstrap method for conducting statistical inference with clustered data
    • Harden, J. J. (2011). A bootstrap method for conducting statistical inference with clustered data. State Politics & Policy Quarterly, 11, 223-246. doi:10. 1177/1532440011406233
    • (2011) State Politics & Policy Quarterly , vol.11 , pp. 223-246
    • Harden, J.J.1
  • 26
    • 34247269174 scopus 로고    scopus 로고
    • Intraclass correlation values for planning group-randomized trials in education
    • Hedges, L. V., & Hedberg, E. C. (2007). Intraclass correlation values for planning group-randomized trials in education. Educationet alvaluation and Policy Analysis, 29, 60-87.
    • (2007) Educationet alvaluation and Policy Analysis , vol.29 , pp. 60-87
    • Hedges, L.V.1    Hedberg, E.C.2
  • 27
    • 0032325285 scopus 로고    scopus 로고
    • Centering decisions in hierarchical linear models: Implications for research in organizations
    • Hofmann, D. A., & Gavin, M. B. (1998). Centering decisions in hierarchical linear models: Implications for research in organizations. Journal of Management, 24, 623-641.
    • (1998) Journal of Management , vol.24 , pp. 623-641
    • Hofmann, D.A.1    Gavin, M.B.2
  • 29
    • 0002875903 scopus 로고    scopus 로고
    • Multilevel modeling: When and why
    • In I. Balderjahn, R. Mathar, & M. Schader (Eds.), New York, NY: Springer Verlag
    • Hox, J. J. (1998). Multilevel modeling: When and why. In I. Balderjahn, R. Mathar, & M. Schader (Eds.), Classification, data analysis, and data highways (pp. 147-154). New York, NY: Springer Verlag.
    • (1998) Classification, Data Analysis, and Data Highways , pp. 147-154
    • Hox, J.J.1
  • 31
    • 0001740817 scopus 로고
    • Consequences of violating the independence assumption in analysis of variance
    • Kenny, D. A., & Judd, C. M. (1986). Consequences of violating the independence assumption in analysis of variance. Psychological Bulletin, 99, 422-431.
    • (1986) Psychological Bulletin , vol.99 , pp. 422-431
    • Kenny, D.A.1    Judd, C.M.2
  • 34
    • 0036674497 scopus 로고    scopus 로고
    • Complex sampling designs and statistical issues in secondary analysis
    • Kneipp, S. M., & Yarandi, H. N. (2002). Complex sampling designs and statistical issues in secondary analysis. Western Journal of Nursing Research, 24, 552-566.
    • (2002) Western Journal of Nursing Research , vol.24 , pp. 552-566
    • Kneipp, S.M.1    Yarandi, H.N.2
  • 36
    • 84937345085 scopus 로고    scopus 로고
    • An introduction to the use of linear models with correlated data
    • Laplante, B., & Hébert, B. P. (2001). An introduction to the use of linear models with correlated data. Canadian Studies in Population, 28, 287-311.
    • (2001) Canadian Studies in Population , vol.28 , pp. 287-311
    • Laplante, B.1    Hébert, B.P.2
  • 38
    • 0034150253 scopus 로고    scopus 로고
    • The neighborhoods they live in: The effects of neighborhood residence on child and adolescent outcomes
    • Leventhal, T., & Brooks-Gunn, J. (2000). The neighborhoods they live in: The effects of neighborhood residence on child and adolescent outcomes. Psychological Bulletin, 126, 309-337.
    • (2000) Psychological Bulletin , vol.126 , pp. 309-337
    • Leventhal, T.1    Brooks-Gunn, J.2
  • 40
    • 4544228988 scopus 로고    scopus 로고
    • Analysis of complex survey samples
    • Lumley, T. (2004). Analysis of complex survey samples. Journal of Statistical Software, 9, 1-19.
    • (2004) Journal of Statistical Software , vol.9 , pp. 1-19
    • Lumley, T.1
  • 41
    • 69949190053 scopus 로고    scopus 로고
    • Sufficient sample sizes for multilevel modeling
    • Maas, C. J., & Hox, J. J. (2005). Sufficient sample sizes for multilevel modeling. Methodology, 1, 86-92.
    • (2005) Methodology , vol.1 , pp. 86-92
    • Maas, C.J.1    Hox, J.J.2
  • 42
    • 77749305085 scopus 로고    scopus 로고
    • Dealing with dependence (part I): Understanding the effects of clustered data
    • McCoach, D. B., & Adelson, J. L. (2010). Dealing with dependence (part I): Understanding the effects of clustered data. Gifted Child Quarterly, 54, 152-155.
    • (2010) Gifted Child Quarterly , vol.54 , pp. 152-155
    • McCoach, D.B.1    Adelson, J.L.2
  • 43
    • 43949148589 scopus 로고
    • A review of methods used to adjust for cluster effects in explanatory epidemiological studies of animal populations
    • McDermott, J. J., & Schukken, Y. H. (1994). A review of methods used to adjust for cluster effects in explanatory epidemiological studies of animal populations. Preventive Veterinary Medicine, 18, 155-173.
    • (1994) Preventive Veterinary Medicine , vol.18 , pp. 155-173
    • McDermott, J.J.1    Schukken, Y.H.2
  • 46
    • 84899670070 scopus 로고    scopus 로고
    • The fixed effects approach as alternative to multilevel models for cross-national analyses
    • September, Edinburgh, Scotland
    • Möhring, K. (2012, September). The fixed effects approach as alternative to multilevel models for cross-national analyses. Paper presented at the 10th ESPAnet Conference, Edinburgh, Scotland.
    • (2012) Paper Presented at the 10th ESPAnet Conference
    • Möhring, K.1
  • 48
    • 84939440920 scopus 로고    scopus 로고
    • A Monte Carlo simulation comparing parameter estimates from multiple linear regression and hierarchical linear modeling
    • Mundfrom, D., & Schultz, M. (2002). A Monte Carlo simulation comparing parameter estimates from multiple linear regression and hierarchical linear modeling. Multiple Linear Regression Viewpoints, 28, 18-21.
    • (2002) Multiple Linear Regression Viewpoints , vol.28 , pp. 18-21
    • Mundfrom, D.1    Schultz, M.2
  • 49
    • 84870044985 scopus 로고    scopus 로고
    • New York, NY: Oxford University Press
    • Murnane, R., & Willet, J. (2011). Methods matter. New York, NY: Oxford University Press.
    • (2011) Methods Matter
    • Murnane, R.1    Willet, J.2
  • 50
    • 84862756915 scopus 로고    scopus 로고
    • Data with hierarchical structure: Impact of intraclass correlation and sample size on Type-I error
    • Musca, S. C., Kamiejski, R., Nugier, A., Méot, A., Er-Rafiy, A., & Brauer, M. (2011). Data with hierarchical structure: Impact of intraclass correlation and sample size on Type-I error. Frontiers in Psychology, 2, 1-6. doi:10. 3389/fpsyg. 2011. 00074
    • (2011) Frontiers in Psychology , vol.2 , pp. 1-6
    • Musca, S.C.1    Kamiejski, R.2    Nugier, A.3    Méot, A.4    Er-Rafiy, A.5    Brauer, M.6
  • 51
    • 84886337777 scopus 로고
    • Complex sample data in structuret alquation modeling
    • Muthén, B., & Satorra, A. (1995). Complex sample data in structuret alquation modeling. Sociological Methodology, 25, 216-316.
    • (1995) Sociological Methodology , vol.25 , pp. 216-316
    • Muthén, B.1    Satorra, A.2
  • 52
    • 0345040656 scopus 로고    scopus 로고
    • How to use a Monte Carlo study to decide on sample size and determine power
    • Muthén, L. K., & Muthén, B. O. (2002). How to use a Monte Carlo study to decide on sample size and determine power. Structuret alquation Modeling, 9, 599-620. doi:10. 1207/S15328007SEM0904 8
    • (2002) Structuret alquation Modeling , vol.9 , pp. 599-620
    • Muthén, L.K.1    Muthén, B.O.2
  • 53
    • 84864004170 scopus 로고    scopus 로고
    • Comparing OLS and HLM models and the questions they answer: Potential concerns for Type VI errors
    • Newman, D., Newman, I., & Salzman, J. (2010). Comparing OLS and HLM models and the questions they answer: Potential concerns for Type VI errors. Multiple Linear Regression Viewpoints, 36, 1-8.
    • (2010) Multiple Linear Regression Viewpoints , vol.36 , pp. 1-8
    • Newman, D.1    Newman, I.2    Salzman, J.3
  • 54
    • 36749018055 scopus 로고    scopus 로고
    • Estimating the impact of state policies and institutions with mixed-level data
    • Primo, D. M., Jacobsmeier, M. L., & Milyo, J. (2007). Estimating the impact of state policies and institutions with mixed-level data. State Politics & Policy Quarterly, 7, 446-459.
    • (2007) State Politics & Policy Quarterly , vol.7 , pp. 446-459
    • Primo, D.M.1    Jacobsmeier, M.L.2    Milyo, J.3
  • 56
    • 84921508773 scopus 로고    scopus 로고
    • Research Triangle Institute. Research Triangle Park, NC: Author
    • Research Triangle Institute. (2010). SUDAAN language manual release 10. 0. Research Triangle Park, NC: Author.
    • (2010) SUDAAN Language Manual Release 10. 0
  • 58
    • 33749076076 scopus 로고    scopus 로고
    • Maternal depression and violence exposure: Double jeopardy for child school functioning
    • Silverstein, M., Augustyn, M., Cabral, H., & Zuckerman, B. (2006). Maternal depression and violence exposure: Double jeopardy for child school functioning. Pediatrics, 118, 792-800. doi:10. 1542/peds. 2005-1841
    • (2006) Pediatrics , vol.118 , pp. 792-800
    • Silverstein, M.1    Augustyn, M.2    Cabral, H.3    Zuckerman, B.4
  • 60
    • 42949158832 scopus 로고    scopus 로고
    • Variance estimation using replicationmethods in structuret alquationmodelingwith complex sample data
    • Stapleton, L. M. (2008). Variance estimation using replicationmethods in structuret alquationmodelingwith complex sample data. Structuret alquationModeling: AMultidisciplinary Journal, 15, 183-210. doi:10. 1080/10705510801922316
    • (2008) Structuret alquationModeling: AMultidisciplinary Journal , vol.15 , pp. 183-210
    • Stapleton, L.M.1
  • 61
    • 77951660472 scopus 로고    scopus 로고
    • Alternative model-based and design-based frameworks for inference from samples to populations: From polarization to integration
    • Sterba, S. K. (2009). Alternative model-based and design-based frameworks for inference from samples to populations: From polarization to integration. Multivariate Behavioral Research, 44, 711-740.
    • (2009) Multivariate Behavioral Research , vol.44 , pp. 711-740
    • Sterba, S.K.1
  • 63
    • 0035486318 scopus 로고    scopus 로고
    • Analysis of large-scale secondary data in higher education research: Potential perils associated with complex sampling designs
    • Thomas, S., & Heck, R. (2001). Analysis of large-scale secondary data in higher education research: Potential perils associated with complex sampling designs. Research in Higher Education, 42, 517-540.
    • (2001) Research in Higher Education , vol.42 , pp. 517-540
    • Thomas, S.1    Heck, R.2
  • 64
    • 34547219034 scopus 로고    scopus 로고
    • Weighting and adjusting for design effects in secondary data analyses
    • Thomas, S., Heck, R., & Bauer, K. (2005). Weighting and adjusting for design effects in secondary data analyses. New Directions for Institutional Research, 127, 51-72.
    • (2005) New Directions for Institutional Research , vol.127 , pp. 51-72
    • Thomas, S.1    Heck, R.2    Bauer, K.3


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