Every Root an Anchor
Every Root an Anchor

Author: R. Bruce Allison

Publisher: Wisconsin Historical Society

Published: 2014-05-20

Total Pages: 128

ISBN-13: 0870205285

DOWNLOAD EBOOK

In Every Root an Anchor, writer and arborist R. Bruce Allison celebrates Wisconsin's most significant, unusual, and historic trees. More than one hundred tales introduce us to trees across the state, some remarkable for their size or age, others for their intriguing histories. From magnificent elms to beloved pines to Frank Lloyd Wright's oaks, these trees are woven into our history, contributing to our sense of place. They are anchors for time-honored customs, manifestations of our ideals, and reminders of our lives' most significant events. For this updated edition, Allison revisits the trees' histories and tells us which of these unique landmarks are still standing. He sets forth an environmental message as well, reminding us to recognize our connectedness to trees and to manage our tree resources wisely. As early Wisconsin conservationist Increase Lapham said, "Tree histories increase our love of home and improve our hearts. They deserve to be told and remembered."

Experimental and Quasi-experimental Designs for Generalized Causal Inference
Experimental and Quasi-experimental Designs for Generalized Causal Inference

Author: William R. Shadish

Publisher: Cengage Learning

Published: 2002

Total Pages: 664

ISBN-13:

DOWNLOAD EBOOK

Sections include: experiments and generalised causal inference; statistical conclusion validity and internal validity; construct validity and external validity; quasi-experimental designs that either lack a control group or lack pretest observations on the outcome; quasi-experimental designs that use both control groups and pretests; quasi-experiments: interrupted time-series designs; regresssion discontinuity designs; randomised experiments: rationale, designs, and conditions conducive to doing them; practical problems 1: ethics, participation recruitment and random assignment; practical problems 2: treatment implementation and attrition; generalised causal inference: a grounded theory; generalised causal inference: methods for single studies; generalised causal inference: methods for multiple studies; a critical assessment of our assumptions.