Critical analysis of the use of statistical inference in social and behavioural research, its proper role, logic, and its abuse. Argues that ignorance and misunderstanding of the role of statistical inference has had a detrimental effect upon research in the field. Points the way to an appropriate appreciation of the part played by quantification in these disciplines. Examines the significance test versus interval estimation and evaluates Neyman-Pearson, Fisherian, Bayesian, and Likelihood inference. Presents arguments in a plainly written, easily understood manner.

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