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Relevant bibliographies by topics / Multilevel analysis / Journal articles

Journal articles on the topic 'Multilevel analysis'

To see the other types of publications on this topic, follow the link: Multilevel analysis.

Author: Grafiati

Published: 4 June 2021

Last updated: 11 March 2023

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1

Augusto Arbugeri, Cesar, Tiago Kommers Jappe, Telles Brunelli Lazzarin, Domingo A. Ruiz-Caballero, Reynaldo R. Astudillo, Luis Martinez, and Samir Ahmad Mussa. "Asymetrical Multilevel Hybrid Inverter - Analysis And Experimentation." Eletrônica de Potência 24, no. 3 (September 30, 2019): 296–305. http://dx.doi.org/10.18618/rep.2019.3.0031.

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2

Le Borne, Sabine. "Multilevel Hierarchical Matrices." SIAM Journal on Matrix Analysis and Applications 28, no. 3 (January 2006): 871–89. http://dx.doi.org/10.1137/040607964.

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3

van den Eeden, Pieter, and Joop J. Hox. "Introduction - Multilevel Analysis." Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique 51, no. 1 (June 1996): 5–9. http://dx.doi.org/10.1177/075910639605100101.

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4

Zhang, Weihua, Jiaxin Li, Yi Li, and Haibo Chen. "Multilevel Phase Analysis." ACM Transactions on Embedded Computing Systems 14, no. 2 (March 25, 2015): 1–29. http://dx.doi.org/10.1145/2629594.

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5

Caldwell, Alex B. "Simultaneous multilevel analysis." American Psychologist 49, no. 2 (1994): 144–45. http://dx.doi.org/10.1037/0003-066x.49.2.144.

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6

HOX, JOOP J., and ITA G. G. KREFT. "Multilevel Analysis Methods." Sociological Methods & Research 22, no. 3 (February 1994): 283–99. http://dx.doi.org/10.1177/0049124194022003001.

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7

Blau, Peter M. "Multilevel structural analysis." Social Networks 15, no. 2 (June 1993): 201–15. http://dx.doi.org/10.1016/0378-8733(93)90005-6.

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8

Timmerman, Marieke E. "Multilevel component analysis." British Journal of Mathematical and Statistical Psychology 59, no. 2 (November 2006): 301–20. http://dx.doi.org/10.1348/000711005x67599.

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9

Kehl, René, Reinhard Nabben, and Daniel B. Szyld. "Adaptive Multilevel Krylov Methods." ETNA - Electronic Transactions on Numerical Analysis 51 (2019): 512–28. http://dx.doi.org/10.1553/etna_vol51s512.

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10

Kuo, C. C. Jay, Tony F. Chan, and Charles Tong. "Multilevel Filtering Elliptic Preconditioners." SIAM Journal on Matrix Analysis and Applications 11, no. 3 (July 1990): 403–29. http://dx.doi.org/10.1137/0611029.

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11

Diaz, J. C., and K. Komara. "Incomplete Multilevel Cholesky Factorizations." SIAM Journal on Matrix Analysis and Applications 22, no. 3 (January 2001): 895–911. http://dx.doi.org/10.1137/s0895479896311128.

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12

Ahmed, Wondimu. "Motivation and Self-Regulated Learning: A Multivariate Multilevel Analysis." International Journal of Psychology and Educational Studies 4, no. 3 (September 1, 2017): 1–11. http://dx.doi.org/10.17220/ijpes.2017.03.001.

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13

Yamana, Hayato. "Introduction to Multilevel Analysis." Annals of Clinical Epidemiology 3, no. 1 (2021): 5–9. http://dx.doi.org/10.37737/ace.3.1_5.

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14

Muthén, Bengt, and Tihomir Asparouhov. "Multilevel regression mixture analysis." Journal of the Royal Statistical Society: Series A (Statistics in Society) 172, no. 3 (June 2009): 639–57. http://dx.doi.org/10.1111/j.1467-985x.2009.00589.x.

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15

Leckie, George. "Handbook of Multilevel Analysis." Journal of the Royal Statistical Society: Series A (Statistics in Society) 172, no. 3 (June 2009): 694–95. http://dx.doi.org/10.1111/j.1467-985x.2009.00595_3.x.

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16

Serban, Nicoleta, and Huijing Jiang. "Multilevel Functional Clustering Analysis." Biometrics 68, no. 3 (February 7, 2012): 805–14. http://dx.doi.org/10.1111/j.1541-0420.2011.01714.x.

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17

MUTHÉN, BENGT O. "Multilevel Covariance Structure Analysis." Sociological Methods & Research 22, no. 3 (February 1994): 376–98. http://dx.doi.org/10.1177/0049124194022003006.

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18

Nguyen, Duc T. "Multilevel substructuring sensitivity analysis." Computers & Structures 25, no. 2 (January 1987): 191–202. http://dx.doi.org/10.1016/0045-7949(87)90142-8.

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19

Hutchison, Dougal. "Handbook of multilevel analysis." Journal of Applied Statistics 37, no. 8 (August 2010): 1417–18. http://dx.doi.org/10.1080/02664760902899741.

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20

George, Alan, Wei-Pai Tang, and Ya Dan Wu. "Multilevel One-Way Dissection Factorization." SIAM Journal on Matrix Analysis and Applications 22, no. 3 (January 2001): 752–71. http://dx.doi.org/10.1137/s0895479898332564.

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21

Shende, Ms Komal, Dr HariKumar Naidu, and Prof Vaishali Pawade. "Performance Analysis of Higher Order Cascaded H-Bridge Multilevel Inverters." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (June 30, 2018): 1850–56. http://dx.doi.org/10.31142/ijtsrd14456.

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22

de Noord, Onno E., and Eugene H. Theobald. "Multilevel component analysis and multilevel PLS of chemical process data." Journal of Chemometrics 19, no. 5-7 (May 2005): 301–7. http://dx.doi.org/10.1002/cem.933.

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23

Maas, Cora J. M., Gerty J. L. M. Lensvelt-Mulders, and Joop J. Hox. "A Multilevel Multitrait-Multimethod Analysis." Methodology 5, no. 3 (January 2009): 72–77. http://dx.doi.org/10.1027/1614-2241.5.3.72.

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The classical multitrait-multimethod (MTMM) matrix can be viewed as a two-dimensional cross-classification of traits and methods. Beside commonly used analysis methods such as structural equation modeling and generalizability theory, multilevel analysis offers attractive possibilities. If the focus is only on analyzing classical MTMM data, the multilevel approach has no surplus value, because the resulting model is equivalent to a confirmatory factor model with additional restrictions imposed by the multilevel parameterization. However, if the data contain further complexities, such as additional information on the traits or persons, multilevel analysis of MTMM data offers a flexible analysis tool with more possibilities than the other approaches.

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24

Buchholz, Peter. "Multilevel Solutions for Structured Markov Chains." SIAM Journal on Matrix Analysis and Applications 22, no. 2 (January 2000): 342–57. http://dx.doi.org/10.1137/s0895479898342419.

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25

Axelsson, O., and P. S. Vassilevski. "Algebraic Multilevel Preconditioning Methods, II." SIAM Journal on Numerical Analysis 27, no. 6 (December 1990): 1569–90. http://dx.doi.org/10.1137/0727092.

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26

Hwang, Heungsun, Yoshio Takane, and Naresh Malhotra. "Multilevel Generalized Structured Component Analysis." Behaviormetrika 34, no. 2 (July 2007): 95–109. http://dx.doi.org/10.2333/bhmk.34.95.

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27

Leckie, George. "Handbook of Advanced Multilevel Analysis." Journal of the Royal Statistical Society: Series A (Statistics in Society) 174, no. 3 (July 2011): 844–45. http://dx.doi.org/10.1111/j.1467-985x.2011.00709_6.x.

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28

Longford, N. "Multilevel analysis with messy data." Statistical Methods in Medical Research 10, no. 6 (December 1, 2001): 429–44. http://dx.doi.org/10.1191/096228001682157643.

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29

Robinson, Timothy J. "Multilevel Analysis: Techniques and Applications." Journal of the American Statistical Association 98, no. 462 (June 2003): 496. http://dx.doi.org/10.1198/jasa.2003.s281.

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30

Longford, N. T. "Multilevel analysis with messy data." Statistical Methods in Medical Research 10, no. 6 (December 2001): 429–44. http://dx.doi.org/10.1177/096228020101000605.

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31

Watson, Carl B., Martin M. Chemers, and Natalya Preiser. "Collective Efficacy: A Multilevel Analysis." Personality and Social Psychology Bulletin 27, no. 8 (August 2001): 1057–68. http://dx.doi.org/10.1177/0146167201278012.

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32

Diez Roux, A. V. "A glossary for multilevel analysis." Journal of Epidemiology & Community Health 56, no. 8 (August 1, 2002): 588–94. http://dx.doi.org/10.1136/jech.56.8.588.

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33

Di, Chong-Zhi, Ciprian M. Crainiceanu, Brian S. Caffo, and Naresh M. Punjabi. "Multilevel functional principal component analysis." Annals of Applied Statistics 3, no. 1 (March 2009): 458–88. http://dx.doi.org/10.1214/08-aoas206.

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34

van Oyen, Herman. "Multilevel analysis of survey data." International Journal of Public Health 54, no. 3 (May 2009): 129–30. http://dx.doi.org/10.1007/s00038-009-7075-z.

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35

Diez Roux, Ana V., and Allison E. Aiello. "Multilevel Analysis of Infectious Diseases." Journal of Infectious Diseases 191, s1 (February 2005): S25—S33. http://dx.doi.org/10.1086/425288.

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36

Kersten, Astrid. "Multilevel Analysis in Critical Research." Annals of the International Communication Association 10, no. 1 (January 1987): 709–29. http://dx.doi.org/10.1080/23808985.1987.11678670.

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37

Ceulemans, Eva, Mia Hubert, and Peter Rousseeuw. "Robust multilevel simultaneous component analysis." Chemometrics and Intelligent Laboratory Systems 129 (November 2013): 33–39. http://dx.doi.org/10.1016/j.chemolab.2013.06.016.

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38

Beard, John R. "New Approaches to Multilevel Analysis." Journal of Urban Health 85, no. 6 (September 16, 2008): 805–6. http://dx.doi.org/10.1007/s11524-008-9314-7.

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39

Beard, John R. "New Approaches to Multilevel Analysis." Journal of Urban Health 86, no. 2 (January 23, 2009): 280. http://dx.doi.org/10.1007/s11524-009-9342-y.

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40

Caron, Pier-Olivier. "Multilevel analysis of matching behavior." Journal of the Experimental Analysis of Behavior 111, no. 2 (February 13, 2019): 183–91. http://dx.doi.org/10.1002/jeab.510.

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41

Chiu, Ming Ming, and Carly A. Roberts. "Improved analyses of single cases: Dynamic multilevel analysis." Developmental Neurorehabilitation 21, no. 4 (February 10, 2016): 253–65. http://dx.doi.org/10.3109/17518423.2015.1119904.

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42

BANAEI, M. R., and E. SALARY. "ANALYSIS OF A GENERALIZED SYMMETRICAL MULTILEVEL INVERTER." Journal of Circuits, Systems and Computers 20, no. 02 (April 2011): 299–311. http://dx.doi.org/10.1142/s0218126611007268.

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The cascade multilevel converter requires the least number of main components among traditional multilevel converter. In this paper, comparison of main components between proposed and traditional converter is shown. In addition, a generalized symmetrical multilevel inverter is proposed. The proposed multilevel inverter can generate DC voltage levels similar to other topologies with less number of components. The proposed topology results in reduction of installation area and cost and has simplicity of control system. This converter has been used in an AC drive system. The operation and performance of the proposed generalized multilevel converter has been verified by the simulation results using SIMULINK/MATLAB. The simulation results show its capability in voltage generation and speed control.

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43

Leung, A. Y. T. "Multilevel dynamic substructures." International Journal for Numerical Methods in Engineering 28, no. 1 (January 1989): 181–91. http://dx.doi.org/10.1002/nme.1620280113.

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44

Bollhöfer, Matthias, and Volker Mehrmann. "Algebraic Multilevel Methods and Sparse Approximate Inverses." SIAM Journal on Matrix Analysis and Applications 24, no. 1 (January 2002): 191–218. http://dx.doi.org/10.1137/s0895479899364441.

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45

Hoppe, R. H. W., and R. Kornhuber. "Adaptive Multilevel Methods for Obstacle Problems." SIAM Journal on Numerical Analysis 31, no. 2 (April 1994): 301–23. http://dx.doi.org/10.1137/0731016.

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46

Coromina, Lluís, Germà Coenders, and Tina Kogovšek. "Multilevel multitrait multimethod model." Advances in Methodology and Statistics 1, no. 2 (July 1, 2004): 323–49. http://dx.doi.org/10.51936/ukft4267.

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Our goal in this paper is to assess reliability and validity of egocentered network data using multilevel analysis (Muthén, 1989, Hox, 1993) under the multitrait-multimethod approach. The confirmatory factor analysis model for multitrait-multimethod data (Werts & Linn, 1970; Andrews, 1984) is used for our analyses. In this study we reanalyse a part of data of another study (Kogovšek et al., 2002) done on a representative sample of the inhabitants of Ljubljana. The traits used in our article are the name interpreters. We consider egocentered network data as hierarchical; therefore a multilevel analysis is required. We use Muthén’s partial maximum likelihood approach, called pseudobalanced solution (Muthén, 1989, 1990, 1994) which produces estimations close to maximum likelihood for large ego sample sizes (Hox & Mass, 2001). Several analyses will be done in order to compare this multilevel analysis to classic methods of analysis such as the ones made in Kogovšek et al. (2002), who analysed the data only at group (ego) level considering averages of all alters within the ego. We show that some of the results obtained by classic methods are biased and that multilevel analysis provides more detailed information that much enriches the interpretation of reliability and validity of hierarchical data. Within and between-ego reliabilities and validities and other related quality measures are defined, computed and interpreted.

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47

Vacca, Raffaele. "Ego-networks analysis with R (IV). Multilevel analysis." Redes. Revista hispana para el análisis de redes sociales 32, no. 1 (January 9, 2021): 96. http://dx.doi.org/10.5565/rev/redes.911.

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48

Stawski, Robert S. "Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling (2nd Edition)." Structural Equation Modeling: A Multidisciplinary Journal 20, no. 3 (July 1, 2013): 541–50. http://dx.doi.org/10.1080/10705511.2013.797841.

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49

M. Chandrasekhar, K. Bhaskar,. "Multilevel Converter based System Fault Analysis." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 5 (April 11, 2021): 674–83. http://dx.doi.org/10.17762/turcomat.v12i5.1468.

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Direct Current deficiency security is the procedure to improve the Direct current system distribution, transmission structure in this review paper examinations the transitory attributes of Direct current responsibilities in a particular (MMC) staggered converter based Direct current the system connection with a numerical technique. Then, loads are reproduction like pretending by using on MATLAB/Simulink has been done by testing the exactness for the hypothetical examination. At last, the mechanical troubles of and necessities for the assurance and confinement are talked about to give the hypothetical establishment to the structure of direct current flaw insurance system.

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50

Gonçalves, Maria Jacirema Ferreira, Antonio Carlos Ponce de Leon, and Maria Lúcia Fernandes Penna. "A multilevel analysis of tuberculosisassociated factors." Revista de Salud Pública 11, no. 6 (December 2009): 918–30. http://dx.doi.org/10.1590/s0124-00642009000600008.

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