Meta Analysis
A Guide to Calibrating and Combining Statistical Evidence
Chapter One
What can the reader expect
from this book?
Experiments are conducted. Data are gathered. Researchers are looking for an effect,
a change predicted by their musings over a model. At the very least, they want to
gauge the direction of change: how much evidence is there in the data for a positive
effect? More, they want an estimate of the size of the effect.
The statistical evidence for the direction of change is found in a test statistic. But
how does one define and measure this 'statistical evidence'?
In this book we provide a theory for inference in which the word evidence is central
and meaningful. We show how to transform test statistics from different studies
onto the same calibration scale where it is easier to measure, interpret and combin ... read full excerpt from Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence ebook
