• Summary
  • Contents
  • Subject index

Quantitative Psychology is arguably one of the oldest disciplines within the field of psychology and nearly all psychologists are exposed to quantitative psychology in some form. While textbooks in statistics, research methods, and psychological measurement exist none offer a unified treatment of quantitative psychology. The SAGE Handbook of Quantitative Methods in Psychology does just that. Each chapter covers a methodological topic with equal attention paid to established theory and the challenges facing methodologists as they address new research questions using that particular methodology. The reader will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area.

Causal Inference in Randomized and Non-Randomized Studies: The Definition, Identification, and Estimation of Causal Parameters
Causal inference in randomized and non-randomized studies: The definition, identification, and estimation of causal parameters
Introduction

The distinction between causation and association has figured prominently in science and philosophy for several hundred years at least, and, more recently, in statistical science as well, indeed, since Galton, Pearson and, Yule developed the theory of correlation.

Statisticians have pioneered two approaches to causal inference that have proven influential in the natural and behavioral sciences. The oldest dates back to Yule (1896), who wrote extensively about ‘illusory’ correlations, by which he meant correlations that should not be endowed with a causal interpretation. To distinguish between the illusory and non-illusory correlations, Yule invented partial correlation to ‘control’ ...

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