TY - BOOK ID - 32863439 TI - Applied multilevel analysis : a practical guide PY - 2006 SN - 9780521849753 9780521614986 0521849756 0521614988 9780511610806 1316099423 0511279841 0511610807 PB - Cambridge : Cambridge University Press, DB - UniCat KW - Biomathematics. Biometry. Biostatistics KW - Mathematical statistics KW - Model, Statistical KW - Models, Binomial KW - Models, Polynomial KW - Statistical Model KW - Probabilistic Models KW - Statistical Models KW - Two-Parameter Models KW - Binomial Model KW - Binomial Models KW - Model, Binomial KW - Model, Polynomial KW - Model, Probabilistic KW - Model, Two-Parameter KW - Models, Probabilistic KW - Models, Two-Parameter KW - Polynomial Model KW - Polynomial Models KW - Probabilistic Model KW - Two Parameter Models KW - Two-Parameter Model KW - Analysis of variance KW - Medical statistics KW - Medicine KW - Biomedical Research KW - Models, Statistical KW - Multivariate Analysis KW - Statistics as Topic KW - multivariaat KW - regressie-analyse KW - wiskundige statistiek KW - Analyses, Multivariate KW - Analysis, Multivariate KW - Multivariate Analyses KW - Biomedical research KW - Medical research KW - Health KW - Health statistics KW - Statistics KW - ANOVA (Analysis of variance) KW - Variance analysis KW - Experimental design KW - Research KW - methods KW - Statistical methods KW - Models, Statistical. KW - Multivariate Analysis. KW - Analysis of variance. KW - Medical statistics. KW - methods. KW - Research. KW - Health Workforce KW - Canonical Correlation KW - Canonical Correlations KW - Correlation, Canonical KW - Health Sciences KW - General and Others UR - https://www.unicat.be/uniCat?func=search&query=sysid:32863439 AB - This is a practical introduction to multilevel analysis suitable for all those doing research. Most books on multilevel analysis are written by statisticians, and they focus on the mathematical background. These books are difficult for non-mathematical researchers. In contrast, this volume provides an accessible account on the application of multilevel analysis in research. It addresses the practical issues that confront those undertaking research and wanting to find the correct answers to research questions. This book is written for non-mathematical researchers and it explains when and how to use multilevel analysis. Many worked examples, with computer output, are given to illustrate and explain this subject. Datasets of the examples are available on the internet, so the reader can reanalyse the data. This approach will help to bridge the conceptual and communication gap that exists between those undertaking research and statisticians. ER -