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Analysis of longitudinal data using the hierarchical linear model

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  • Tom Snijders

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  • Tom Snijders, 1996. "Analysis of longitudinal data using the hierarchical linear model," Quality & Quantity: International Journal of Methodology, Springer, vol. 30(4), pages 405-426, November.
    • Handle: RePEc:spr:qualqt:v:30:y:1996:i:4:p:405-426
    DOI: 10.1007/BF00170145
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    References listed on IDEAS

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    1. David Rogosa & John Willett, 1985. "Understanding correlates of change by modeling individual differences in growth," Psychometrika, Springer;The Psychometric Society, vol. 50(2), pages 203-228, June.
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    1. Hinz, Thomas & Ziegler, Rolf, 1999. "Gründungsmotive und Unternehmenserfolg," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 32(4), pages 423-433.
    2. Aleksey Oshchepkov & Anna Shirokanova, 2020. "Multilevel Modeling For Economists: Why, When And How," HSE Working papers WP BRP 233/EC/2020, National Research University Higher School of Economics.
    3. An Zhou & Shenhan Wu & Zhujie Chu & Wei-Chiao Huang, 2019. "Regional Differences in Municipal Solid Waste Collection Quantities in China," Sustainability, MDPI, vol. 11(15), pages 1-12, July.
    4. Hinz, Thomas & Ziegler, Rolf, 1999. "Gründungsmotive und Unternehmenserfolg," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 32(4), pages 423-433.
    5. Candel, Math J.J.M., 2007. "Empirical Bayes estimators of the random intercept in multilevel analysis: Performance of the classical, Morris and Rao version," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 3027-3040, March.

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