Analysis of variance (Anova)

Philip Stoker; Guang Tian; Ja Young Kim

doi:10.4324/9780429325021-11

Analysis of variance (Anova)

Philip Stoker, Guang Tian, Ja Young Kim

Planning Degree Program

Research output: Chapter in Book/Report/Conference proceeding › Chapter

15 Scopus citations

Abstract

The ANOVA chapter follows the same pattern with an introduction, purpose, and history section. It also provides a look into the mechanics of the test. It includes equations for the within-group variance, between-group variance, and the F-statistic. It also specifies the assumptions that underlie the tests. It provides an overview of how to interpret the results, and then provides the step-by-step guide on how to run an ANOVA test in SPSS and R. The step-by-step instructions for SPSS and R provide information on checking the assumptions while running the test. It explains the null hypothesis, the one-way ANOVA test, and the post hoc test. The chapter concludes with two real planning research examples that use ANOVA.

Original language	English (US)
Title of host publication	Basic Quantitative Research Methods for Urban Planners
Publisher	Taylor and Francis
Pages	197-219
Number of pages	23
ISBN (Electronic)	9781000769234
ISBN (Print)	9780429325021
DOIs	https://doi.org/10.4324/9780429325021-11
State	Published - Jan 1 2020

ASJC Scopus subject areas

General Engineering
General Arts and Humanities
General Social Sciences

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title = "Analysis of variance (Anova)",

abstract = "The ANOVA chapter follows the same pattern with an introduction, purpose, and history section. It also provides a look into the mechanics of the test. It includes equations for the within-group variance, between-group variance, and the F-statistic. It also specifies the assumptions that underlie the tests. It provides an overview of how to interpret the results, and then provides the step-by-step guide on how to run an ANOVA test in SPSS and R. The step-by-step instructions for SPSS and R provide information on checking the assumptions while running the test. It explains the null hypothesis, the one-way ANOVA test, and the post hoc test. The chapter concludes with two real planning research examples that use ANOVA.",

author = "Philip Stoker and Guang Tian and Kim, {Ja Young}",

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AB - The ANOVA chapter follows the same pattern with an introduction, purpose, and history section. It also provides a look into the mechanics of the test. It includes equations for the within-group variance, between-group variance, and the F-statistic. It also specifies the assumptions that underlie the tests. It provides an overview of how to interpret the results, and then provides the step-by-step guide on how to run an ANOVA test in SPSS and R. The step-by-step instructions for SPSS and R provide information on checking the assumptions while running the test. It explains the null hypothesis, the one-way ANOVA test, and the post hoc test. The chapter concludes with two real planning research examples that use ANOVA.

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BT - Basic Quantitative Research Methods for Urban Planners

PB - Taylor and Francis

ER -

Analysis of variance (Anova)

Abstract

ASJC Scopus subject areas

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