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measured on each subject, repeated measures analyses, covariates, choice of text statistic and simultaneous test procedures.;
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Repeated measures data arise when the same characteristic is measured on each case or subject at several times or under several conditions;
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Repeated measures data arise when the same characteristic is measured on each case or subject at several times or under several conditions;
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flexible methodology for testing differences among means. This monograph considers the multivariate form of analysis of variance (MANOVA) and;
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featured within the text include: Repeated measures analysis of variance Multivariate analysis of variance for repeated measures Random-effects;
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repeated measures to reflect their increased use in research more software references for calculating effect sizes and their confidence intervals;
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repeated measures to reflect their increased use in research more software references for calculating effect sizes and their confidence intervals;
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biomedical, social, animal, agricultural and business research. It details the multivariate development of growth science and repeated measures;
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analyzing models with interactions and repeated measures. There is also comprehensive coverage of principle components with emphasis on graphical;
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Measures presents the main ideas for the analysis of repeated measures and associated designs from a Bayesian viewpoint. It describes many;
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Measures presents the main ideas for the analysis of repeated measures and associated designs from a Bayesian viewpoint. It describes many;
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for Empirical Researchers presents comprehensive coverage of the formation of research questions and the analysis of repeated measures using;
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, guides readers step by step through the basic concepts of research and data analysis, to data input, and on to ANOVA (analysis of variance) and;
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that include repeated measures factors. The remaining chapters may be read independently and in any order.;
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explanations of appropriate SAS procedures. The book covers a variety of topics including MV analysis of experimental data and repeated measures data;
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Geared toward upper-level undergraduates and graduate students, this two-part treatment deals with the foundations of multivariate analysis;
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theoretical and the practical, topics covered include multivariate analysis of experimental data and repeated measures data, graphical representation;
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and correlation, path analysis, principal-components analysis, exploratory and confirmatory factor analysis, multidimensional scaling;
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field Following the highly successful and much lauded book, Time Series Analysis-Univariate and Multivariate Methods, this new work by;
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of investigating phenomena. She explains that widening our lens to identify multiple theories, constructs, measures, samples, methods, and time points;
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of data obtained via a repeated measures design * A new chapter on analyses related to predictive discriminant analysis * Basic SPSS(r) and SAS(r;
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) and regressions analyses, including chapters on: preparing data for analysis; one-way, factorial, and repeated;
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) and regressions analyses, including chapters on: preparing data for analysis; one-way, factorial, and repeated-measures ANOVA; analysis;
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, and multivariate GLMs that cover multivariate regression analysis, MANOVA, MANCOVA, and repeated measurement data analyses. The book also;
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, and multivariate GLMs that cover multivariate regression analysis, MANOVA, MANCOVA, and repeated measurement data analyses. The book also;
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designs widely applied in research and industry investigations, such as multivariate analysis of variance (MANOVA) and multivariate randomized;
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