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Randomized Experiments for Planning and Evaluation: A Practical Guide: Applied Social Research Methods, cartea 44

Autor Robert F. Boruch
en Limba Engleză Electronic book text – 27 feb 1997
How can one tell if a new programme has been effective or not? Is there any way to predict how a group of individuals would have fared without the new programme or service? Packed with rich and varied examples, Robert F Boruch's book untangles the complexities of randomized field experiments to enable researchers to evaluate better the impact of new programmes. After an exploration of how to judge whether or not a programme worked, the author discusses: the context of experiments; the standards used to judge the ethical propriety of randomized experiments; methods for studying populations; sampling methods; the randomization procedure; baseline measures; missing data registry; and analyses for quality assurance.
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Specificații

ISBN-13: 9781452215464
ISBN-10: 1452215464
Pagini: 280
Dimensiuni: 140 x 216 mm
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Applied Social Research Methods

Locul publicării:Thousand Oaks, United States

Cuprins

Introduction
Experiments in the Context of Evaluation
Ethics, Law and Randomized Experiments
Population, Power and Pipeline
Randomization Plans and Process
Identifying, Engaging and Maintaining Contact with Target Individuals
Observation and Measurement
Operations
Analysis
Reporting

Descriere

How can one tell if a new programme has been effective or not? Is there any way to predict how a group of individuals would have fared without the new programme or service? Packed with rich and varied examples, Robert F Boruch's book untangles the complexities of randomized field experiments to enable researchers to evaluate better the impact of new programmes. After an exploration of how to judge whether or not a programme worked, the author discusses: the context of experiments; the standards used to judge the ethical propriety of randomized experiments; methods for studying populations; sampling methods; the randomization procedure; baseline measures; missing data registry; and analyses for quality assurance.