The classic edition of What If There Were No Significance Tests? highlights current statistical inference practices. Four areas are featured as essential for making inferences: sound judgment, meaningful research questions, relevant design, and assessing fit in multiple ways. Other options (data visualization, replication or meta-analysis), other features (mediation, moderation, multiple levels or classes), and other approaches (Bayesian analysis, simulation, data mining, qualitative inquiry) are also.
What If There Were No Significance Tests?: Classic Edition (Multivariate Applications Series) read online
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What If There Were No Significance Tests?: Classic Edition (Multivariate Applications Series) pdf free download
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