Does the Package Matter? A Comparison of Five Common Multilevel Modeling Software Packages

التفاصيل البيبلوغرافية
العنوان: Does the Package Matter? A Comparison of Five Common Multilevel Modeling Software Packages
المؤلفون: Sarah D. Newton, Xiaoran Li, Graham G. Rifenbark, Dani Yomtov, D. Betsy McCoach, Janice Kooken, Aarti P. Bellara, Anthony J. Gambino
المصدر: Journal of Educational and Behavioral Statistics. 43:594-627
بيانات النشر: American Educational Research Association (AERA), 2018.
سنة النشر: 2018
مصطلحات موضوعية: Computer science, business.industry, Computation, 05 social sciences, Monte Carlo method, Multilevel model, 050401 social sciences methods, Usability, 01 natural sciences, Education, Computational science, 010104 statistics & probability, Software, 0504 sociology, Sample size determination, Computer software, 0101 mathematics, business, Social Sciences (miscellaneous), Statistical software
الوصف: This study compared five common multilevel software packages via Monte Carlo simulation: HLM 7, M plus 7.4, R (lme4 V1.1-12), Stata 14.1, and SAS 9.4 to determine how the programs differ in estimation accuracy and speed, as well as convergence, when modeling multiple randomly varying slopes of different magnitudes. Simulated data included population variance estimates, which were zero or near zero for two of the five random slopes. Generally, when yielding admissible solutions, all five software packages produced comparable and reasonably unbiased parameter estimates. However, noticeable differences among the five packages arose in terms of speed, convergence rates, and the production of standard errors for random effects, especially when the variances of these effects were zero in the population. The results of this study suggest that applied researchers should carefully consider which random effects they wish to include in their models. In addition, nonconvergence rates vary across packages, and models that fail to converge in one package may converge in another.
تدمد: 1935-1054
1076-9986
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::bfb39bcd6b0637787e611cf3ec217bd1Test
https://doi.org/10.3102/1076998618776348Test
حقوق: CLOSED
رقم الانضمام: edsair.doi...........bfb39bcd6b0637787e611cf3ec217bd1
قاعدة البيانات: OpenAIRE