2004
DOI: 10.1177/109821400402500203
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Modeling Trajectories in Social Program Outcomes for Performance Accountability

Abstract: Government and public focus on accountability for program outcomes, combined with practical and ethical constraints on experimental designs, make nonexperimental studies of social programs an increasingly common approach to producing information on program performance. In this paper, we compare the effectiveness of alternative nonexperimental evaluation methods used with longitudinal data to produce information about social program outcomes. The analysis is applied in an evaluation of a demonstration program d… Show more

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Cited by 13 publications
(3 citation statements)
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“…During the last thirty years, nonprofit organizations have begun to recognize the value and importance of using different evaluation tools to improve their effectiveness and measure their performance, including: conducting needs assessments (Sankofa, 2021), using theories of change and logic models (DuBow & Litzler, 2019;Yampolskaya et al, 2004), tracking inputs, outputs, and outcomes, and other performance measures (Bagnoli & Megali, 2011;Lee & Clerkin, 2017;Lee & Nowell, 2015); and adopting managerial standards of practice or seeking accreditation (Eckerd & Moulton, 2011;Hao & Neely, 2019). Some nonprofit organizations have also begun to recognize the value and importance of using evidence-based practices, statistical modeling, and more rigorous evaluation designs to assess and measure their impact (Gordon & Heinrich, 2004;Schweigert, 2006;Weitzman et al, 2009;Zandniapour & Deterding, 2018).…”
Section: Literature Reviewmentioning
confidence: 99%
“…During the last thirty years, nonprofit organizations have begun to recognize the value and importance of using different evaluation tools to improve their effectiveness and measure their performance, including: conducting needs assessments (Sankofa, 2021), using theories of change and logic models (DuBow & Litzler, 2019;Yampolskaya et al, 2004), tracking inputs, outputs, and outcomes, and other performance measures (Bagnoli & Megali, 2011;Lee & Clerkin, 2017;Lee & Nowell, 2015); and adopting managerial standards of practice or seeking accreditation (Eckerd & Moulton, 2011;Hao & Neely, 2019). Some nonprofit organizations have also begun to recognize the value and importance of using evidence-based practices, statistical modeling, and more rigorous evaluation designs to assess and measure their impact (Gordon & Heinrich, 2004;Schweigert, 2006;Weitzman et al, 2009;Zandniapour & Deterding, 2018).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Several reasons made multilevel growth modeling an appropriate approach to assess the relationship. First, compared with conventional nonexperimental econometric models, such as the first difference and the difference-in-difference methods, empirical research shows that modeling outcome trajectories using multilevel modeling can capture more complex trajectories and produce a more accurate account of the intervention effects (Gordon and Heinrich 2004).…”
Section: Multilevel Growth Modeling and Analytic Processmentioning
confidence: 99%
“…(See Singer and Willett [2003] and Gordon and Heinrich [2004] for a more thorough discussion of multilevel models and their interpretation. )…”
Section: Industry Dynamics In Recession and Recoverymentioning
confidence: 99%