Statistical Inference

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. Front Matter Table of Contents Foreword References Preface Part I: On Significance Tests Chapter 1: The Logic of Significance Tests Chapter 2: A Critique of Significance Tests Chapter 3: Intuitive Statistical Judgements Chapter 4: Theories of Probability Part II: Schools of Statistical Inference Chapter 5: Further Points of Difference Chapter 6: An Evaluation of the Major Schools of Statistical Inference Chapter 7: The Role of Statistical Inference in Social Research Part III Epilogue References and Bibliography Author Index