Κατάλογος Βιβλιοθηκών Mediterranean College

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Designing Experiments and Analyzing Data / A Model Comparison Perspective

Contributor(s): Material type: TextPublication details: Wadsworth Publishing Company, 1990Description: 908ISBN:
  • 53410374
Summary: Preface, Conceptual Bases of Experimental Design and Analysis, The Logic of Experimental Design, Introduction to the Fisher Tradition, Model Comparisons for Between-Subjects Designs, Introduction to Model Comparisons: One-Way Between-Subjects Designs, Individual Comparisons of Means, Testing Several Contrasts: The Multiple-Comparisons Problems, Trend Analysis, Two-Way Between-Sunjects Factorial Designs, Higher-Order Between-Subjects Factorial Designs, Designs with Concomitant Variables: ANCOVA and Blocking, Designs with Random or Nested Factors, Model Comparisons for Designs Involving within-Subjects Factors, One-Way Within-Subjects Designs: Univariate Approach, Higher-Order Designs with Within-Subjects Factors: Univariate Approach, Higher-Order Designs with Within-Subjects Factors: Multivariate Approach, Alternative Analysis Strategies, Robust ANOVA and ANCOVA, Statistical Tables, Name and Subject Index.
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Books MC Athens Campus Library 519.5/3 MAX (Browse shelf(Opens below)) 1 Available 9780000016997

Preface, Conceptual Bases of Experimental Design and Analysis, The Logic of Experimental Design, Introduction to the Fisher Tradition, Model Comparisons for Between-Subjects Designs, Introduction to Model Comparisons: One-Way Between-Subjects Designs, Individual Comparisons of Means, Testing Several Contrasts: The Multiple-Comparisons Problems, Trend Analysis, Two-Way Between-Sunjects Factorial Designs, Higher-Order Between-Subjects Factorial Designs, Designs with Concomitant Variables: ANCOVA and Blocking, Designs with Random or Nested Factors, Model Comparisons for Designs Involving within-Subjects Factors, One-Way Within-Subjects Designs: Univariate Approach, Higher-Order Designs with Within-Subjects Factors: Univariate Approach, Higher-Order Designs with Within-Subjects Factors: Multivariate Approach, Alternative Analysis Strategies, Robust ANOVA and ANCOVA, Statistical Tables, Name and Subject Index.

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