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Cited by 8,539Optimal Experimental Design MethodsStatistical Methods and Bayesian InferenceStatistical Methods and Applications

The DOI matches its Crossref record.

Experimental Design: Procedures for the Behavioral Sciences

Kirk, Roger·2013·Sage eBooks
DOI 10.4135/9781483384733
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Abstract

Chapter 1. Research Strategies and the Control of Nuisance Variables Chapter 2. Experimental Designs: an Overview Chapter 3. Fundamental Assumptions in Analysis of Variance Chapter 4. Completely Randomized Design Chapter 5. Multiple Comparison Tests Chapter 6. Trend Analysis Chapter 7. General Linear Model Approach to ANOVA Chapter 8. Randomized Block Designs Chapter 9. Completely Randomized Factorial Design with Two Treatments Chapter 10. Completely Randomized Factorial Design with Three or More Treatments and Randomized Block Factorial Design Chapter 11. Hierarchical Designs Chapter 12. Split-Plot Factorial Design: Design with Group-Treatment Confounding Chapter 13. Analysis of Covariance Chapter 14. Latin Square and Related Designs Chapter 15. Confounded Factorial Designs: Designs with Group-Interaction Confounding Chapter 16. Fractional Factorial Designs: Designs with Treatment-Interaction Confounding

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Metadata

Authors
Kirk, R.
Corresponding author
Kirk, Roger
Venue
Sage eBooks
Publisher
SAGE Publications, Inc.
Published
2013
DOI
10.4135/9781483384733
OpenAlex
W2134654456
Cited by
8,539
References
0
Citations by year
2026: 23 · 2025: 40 · 2024: 50 · 2023: 48 · 2022: 64 · 2021: 64 · 2020: 78 · 2019: 65 · 2018: 94 · 2017: 98 · 2016: 105 · 2015: 83 · 2014: 107 · 2013: 127
FWCI
44.24
Type
book
Language
en
Open access
closed
Locations
Sage eBooks (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Keywords
experimental design, behavioral science, nuisance parameters, analysis of variance, completely randomized design, multiple comparison tests, trend analysis, general linear model, randomized block design, factorial design, hierarchical design, split-plot design, covariance analysis, Latin square design, fractional factorial design

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