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Program Evaluation: Pragmatic Methods for Social Work and Human Service Agencies

Program Evaluation: Pragmatic Methods for Social Work and Human Service Agencies

Program Evaluation: Pragmatic Methods for Social Work and Human Service Agencies Hardback - 2020

by Allen Rubin

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Hardback. New. This textbook provides students and instructors with a pragmatic introduction to program evaluation that emphasizes the activities students are likely to conduct in their future roles in service-oriented agencies.
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Details

  • Title Program Evaluation: Pragmatic Methods for Social Work and Human Service Agencies
  • Author Allen Rubin
  • Binding Hardback
  • Condition New
  • Pages 264
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2020-07-23
  • Features Bibliography, Index
  • Bookseller's Inventory # A9781108835992
  • ISBN 9781108835992 / 1108835996
  • Weight 1.2 lbs (0.54 kg)
  • Dimensions 10.08 x 7.15 x 0.66 in (25.60 x 18.16 x 1.68 cm)
  • Category Sociology
  • Library of Congress subjects Evaluation research (Social action programs), Social service - Evaluation
  • Library of Congress Catalogue Number 2019059898
  • Dewey Decimal Code 361.3
  • Quantity available 10

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Reader reviews for Program Evaluation: Pragmatic Methods for Social Work and Human Service Agencies

From the publisher

Be prepared for your future role in a service-oriented agency. This textbook provides practical guidance on program evaluation while avoiding replicating other course material. Drawing on over 40 years of subject knowledge, Allen Rubin describes outcome designs that are feasible for service-oriented agencies and that match the degree of certainty needed by key users of outcome evaluations. The utility and easy calculation of within-group effect sizes are outlined, which enhance the value of evaluations that lack control groups. Instructions are also given on how to write and disseminate an evaluation report in a way maximizes its chances of being used. Conducting focus group interviews and capitalising on the value of non-probabilitysamples will become second nature after following the effective and pragmatic advice mapped out chapter-by-chapter.
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