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As an introductory textbook on the analysis of variance or a reference for the researcher, this text stresses applications rather than theory, but gives enough theory to enable the reader to apply the methods intelligently rather than mechanically. Comprehensive, and covering the important techniques in the field, including new methods of post hoc testing. The relationships between different research designs are emphasized, and these relationships are exploited to develop general principles which are generalized to the analyses of a large number of seemingly differentdesigns. Primarily for graduate students in any field where statistics are used.
List of contents
1: Review of Statistical Concepts.- 2: Analysis of Variance, One-Way, Fixed Effects.- 3: Comparing Groups.- 4: Other Multiple Comparison Methods.- 5: Two-Way Analysis of Variance.- 6: Random Effects.- 7: Higher-Way Designs.- 8; Nested Designs.- 9: Other Incomplete Designs.- 10: One-Way Designs with Quantitative Factors.- 11: Trend Analyses in Multifactor Designs.- 12: Basic Matrix Algebra.- 13: Multivariate Analysis of Variance.- 14: Analysis of Covariance.- 15: General Linear Model.- Appendix A: Theorems and Proofs.- Appendix B: Tables.- Appendix C: Analysis of Variance Using SAS.- Appendix D: Analyses Using SPSS.- Symbol Table.
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"A welcome addition to the statistical literature ÄthatÜ deserves to be in every college library." (Zentralblatt fuer Mathematik)
