Session: Finding a Middle Path: Pairing Community Partner-Driven Scale Construction with Advanced Quantitative Statistics to Establish Valid and Reliable Measures (Society for Social Work and Research 28th Annual Conference - Recentering & Democratizing Knowledge: The Next 30 Years of Social Work Science)

All in-person and virtual presentations are in Eastern Standard Time Zone (EST).

SSWR 2024 Poster Gallery: as a registered in-person and virtual attendee, you have access to the virtual Poster Gallery which includes only the posters that elected to present virtually. The rest of the posters are presented in-person in the Poster/Exhibit Hall located in Marquis BR Salon 6, ML 2. The access to the Poster Gallery will be available via the virtual conference platform the week of January 11. You will receive an email with instructions how to access the virtual conference platform.

257 Finding a Middle Path: Pairing Community Partner-Driven Scale Construction with Advanced Quantitative Statistics to Establish Valid and Reliable Measures

Schedule:
Saturday, January 13, 2024: 4:00 PM-5:30 PM
Congress, ML 4 (Marriott Marquis Washington DC)
Cluster:
Symposium Organizer:
Nancy Kepple, PhD, MSW, University of Kansas
Discussant:
Becci Akin, PhD, University of Kansas
Background: Social welfare researchers and our interdisciplinary collaborators are being called by clients and constituencies to decenter their academic awarded expertise and democratize knowledge when partnering with organizations and communities to test interventions aimed to create meaningful change or systems improvements. Applied researchers have struggled to find a balance between centering knowledge within the academy defined by intensive methodological and theoretical expertise and centering knowledge within the communities defined by their lived experience and real-life needs. These studies provide examples of how intervention researchers worked toward redistribution of power in a way that highlights strengths across collaborative community-research partnerships in the creation of scales and measures that both reflect the reality of lived experiences and maintain the rigor to detect desired treatment effects for system-level changes.

Methods: This symposium includes four papers that provide examples of how community-voices shaped measures, followed by exploratory and confirmatory factor analyses to validate the community-created and/or modified measures. Paper 1 provides an example of experiences incorporating birth parent and staff perspectives on measures of court/legal system practices and child welfare casework/agency practices. Paper 2 describes the process of incorporating provider perspectives into developing measures of co-parenting, parental self-efficacy and satisfaction, and relationship conflict for a community-based fatherhood intervention. Paper 3 highlights the process of co-constructing meaningful measures of provider attitudes, beliefs, and practice behaviors relevant to the tested intervention approach that incorporated a domestic violence survivor-centered lens. Paper 4 discusses how early childhood providers served on an expert panel that guided the process of documenting, developing, and testing a tool to assess data-driven decision making among early childhood programs.

Results: While the use of previously validated scales can improve the likelihood of identifying treatment effects (if present), community partners across four distinct studies consistently identified that these tools rarely reflected their reality. The research teams across these studies were faced with similar dilemmas: (a) using highly reliable but potentially invalid scales to measure the unique contexts and everyday reality of the phenomena under study or (b) creating/modifying scales that reflect community partners’ reality but may result in unreliable measures that minimize being able to detect intervention effects. Each study identified strategies to address these concerns through balancing the prioritization of partner expertise in the development of the questions asked with leveraging research expertise through thoughtful application of advanced quantitative methods, such as confirmatory factor analysis, to establish psychometric properties, such as convergent and divergent validity of identified constructs and measurement invariance over groups and time.

Implications: These four studies exemplify how different teams approached working alongside community partners to critique and drive scale construction to better reflect the reality of diverse experiences of children and their families. This decentering of intervention tools comes with unique strengths, unique challenges, and most importantly, lessons learned about how to do better as we move forward with a commitment to decentering researchers’ power in our evaluation processes.

* noted as presenting author
Intentional Community and Researcher Partnerships: Co-Creating Measures with Community Partners to Assess Parents' Experiences of Child Welfare Casework and Court/Legal Practice
Pegah Naemi Jimenez, PhD, University of Kansas; Jared Barton, PhD, University of Kansas; Becci Akin, PhD, University of Kansas; Amanda Brown, PhD, University of Kansas; Kaela Byers, PhD, University of Kansas
Evidence for Internal Structure of Established Parenting Measures with a Diverse Population of Fathers Involved in Child Welfare
Jared Barton, PhD, University of Kansas; Pegah Naemi Jimenez, PhD, University of Kansas; Kaela Byers, PhD, University of Kansas; Ariana Nasrazadani, University of Kansas; Becci Akin, PhD, University of Kansas; Kortney Carr, MSW, University of Kansas
Collaboratively Developing and Validating Measures to Reflect Intervention Innovations When Exploring Provider Attitudes, Beliefs, and Practice Behaviors
Nancy Kepple, PhD, MSW, University of Kansas; Thomas Ball, PhD, University of Kansas; Juliana Carlson, PhD, University of Kansas; Becci Akin, PhD, University of Kansas; Meredith Bagwell-Gray, PhD, University of Kansas; Cheryl Holmes, MPA, University of Kansas
Combining Practice Wisdom and Implementation Drivers to Develop a Measure of Data-Driven Decision Making
Jared Barton, PhD, University of Kansas; Becci Akin, PhD, University of Kansas
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