Research methods for Social Work / Allen Rubin, Earl R. Babbie.

By: Rubin, Allen [author. ]Contributor(s): Babbie, Earl R [author. ]Material type: TextTextPublisher: Mason, OH : Cengage, [2024]Copyright date: ©2024Edition: Tenth editionDescription: xix, 584 pages : color illustrations ; 28 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9780357764701; 0357764706Subject(s): Methodology | Quantitative researchLOC classification: HV11 | .R84 2024Summary: Rubin/Babbie's RESEARCH METHODS FOR SOCIAL WORK, 10th Edition, uses a clear and humorous style to balance quantitative and qualitative research techniques, illustrating how these methods complement one another and how they can be integrated in mixed-methods studies. Real-world examples help connect research and social work practices. Evidence-informed practice aligning with other accreditation requirements based on the EPAS guidelines is covered, along with coverage of social and racial justice research, including LGBTQ+ populations. Examples of published research studies, online research tools and illustrations are included. Areas receiving increased coverage include meta-analysis, conducting focus group interviews, within-group effect size benchmarks, propensity score matching, pragmatism in program evaluation and the influence of degree of certainty needed in inferring causality.-- from back cover
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Includes bibliographical references (pages 553-565) and index (pages 566-584).

Rubin/Babbie's RESEARCH METHODS FOR SOCIAL WORK, 10th Edition, uses a clear and humorous style to balance quantitative and qualitative research techniques, illustrating how these methods complement one another and how they can be integrated in mixed-methods studies. Real-world examples help connect research and social work practices. Evidence-informed practice aligning with other accreditation requirements based on the EPAS guidelines is covered, along with coverage of social and racial justice research, including LGBTQ+ populations. Examples of published research studies, online research tools and illustrations are included. Areas receiving increased coverage include meta-analysis, conducting focus group interviews, within-group effect size benchmarks, propensity score matching, pragmatism in program evaluation and the influence of degree of certainty needed in inferring causality.-- from back cover

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