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Change ResearchA Case Study on Collaborative Methods for Social Workers and Advocates$
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Corey Shdaimah, Roland Stahl, and Sanford Schram

Print publication date: 2011

Print ISBN-13: 9780231151795

Published to Columbia Scholarship Online: November 2015

DOI: 10.7312/columbia/9780231151795.001.0001

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PRINTED FROM COLUMBIA SCHOLARSHIP ONLINE (www.columbia.universitypressscholarship.com). (c) Copyright University of Minnesota Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in CUPSO for personal use.date: 26 September 2021

Quantitative Data Analysis in a Collaboration Research Project

Quantitative Data Analysis in a Collaboration Research Project

Low-Income Home Repair in Philadelphia

(p.64) 4 Quantitative Data Analysis in a Collaboration Research Project
Change Research

Corey S. Shdaimah

Roland W. Stahl

Sanford F. Schram

Columbia University Press

This chapter discusses the results of collaborative research conducted by social workers as part of the Women's Community Revitalization Project (WCRP) regarding the state of low-income housing in Philadelphia. The advocates were interested in low-income home repair as part of WCRP's affordable-housing campaign not necessarily because they bought into the asset-building approach that had become increasingly popular in city and federal government. Instead, they were interested in helping low-income homeowners stay in the homes they already owned. This chapter shows that the social work researchers' methods of data collection and analysis were credible according to conventional social scientific standards—in other words, that researchers need not compromise on the quality of the research in the name of advocacy for a cause. The chapter also explains how community partners' concerns can be addressed through quantitative data analysis in a way that enhances their ability to advocate for desired changes.

Keywords:   collaborative research, Women's Community Revitalization Project, low-income housing, Philadelphia, home repair, data collection, advocacy, community partners, quantitative data analysis

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