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Data analysis for experimental design / Richard Gonzalez.

By: Material type: TextTextPublisher: New York : Guilford Press, [2009]Copyright date: ©2009Description: xviii, 439 pages : illustrations ; 27 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 1606230174
  • 9781606230176
Subject(s): DDC classification:
  • 150.1519538 22
LOC classification:
  • BF39.2.A52 G66 2009
Contents:
Nature of research -- Principles of experimental design -- The standard normal distribution: an amazing approximation -- Tests for means from random samples -- Homogeneity and normality assumptions -- The analysis of variance: one between-subjects factor -- Pairwise comparisons -- Orthogonal, planned and unplanned comparisons -- The 2[power of k] between-subjects factorial experiment -- Between-subjects factorial experiments: factors with more than two levels -- Between-subjects factorial experiments: further considerations -- Within-subjects factors: one-way and 2[power of k] factorial designs -- Within-subjects factors: general designs -- Contrasts on binomial data: between-subject designs -- Debriefing -- Appendix A. The methods of least squares -- Appendix B. Statistical tables.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book City Campus City Campus Main Collection 150.1519538 GON (Browse shelf(Opens below)) 1 Available A476227B

Includes bibliographical references (pages 427-434) and index.

Nature of research -- Principles of experimental design -- The standard normal distribution: an amazing approximation -- Tests for means from random samples -- Homogeneity and normality assumptions -- The analysis of variance: one between-subjects factor -- Pairwise comparisons -- Orthogonal, planned and unplanned comparisons -- The 2[power of k] between-subjects factorial experiment -- Between-subjects factorial experiments: factors with more than two levels -- Between-subjects factorial experiments: further considerations -- Within-subjects factors: one-way and 2[power of k] factorial designs -- Within-subjects factors: general designs -- Contrasts on binomial data: between-subject designs -- Debriefing -- Appendix A. The methods of least squares -- Appendix B. Statistical tables.

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