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Corrado Matta; Jannika Lindvall; Andreas Ryve – American Journal of Evaluation, 2024
In this article, we discuss the methodological implications of data and theory integration for Theory-Based Evaluation (TBE). TBE is a family of approaches to program evaluation that use program theories as instruments to answer questions about whether, how, and why a program works. Some of the groundwork about TBE has expressed the idea that a…
Descriptors: Data Analysis, Theories, Program Evaluation, Information Management
Robert Shand; Stephen M. Leach; Fiona M. Hollands; Florence Chang; Yilin Pan; Bo Yan; Dena Dossett; Samreen Nayyer-Qureshi; Yixin Wang; Laura Head – American Journal of Evaluation, 2022
We assessed whether an adaptation of value-added analysis (VAA) can provide evidence on the relative effectiveness of interventions implemented in a large school district. We analyzed two datasets, one documenting interventions received by underperforming students, and one documenting interventions received by students in schools benefiting from…
Descriptors: Value Added Models, Data Analysis, Program Evaluation, Program Effectiveness
Bower, Kyle L. – American Journal of Evaluation, 2022
The purpose of this paper is to introduce the Five-Level Qualitative Data Analysis (5LQDA) method for ATLAS.ti as a way to intentionally design methodological approaches applicable to the field of evaluation. To demonstrate my analytical process using ATLAS.ti, I use examples from an existing evaluation of a STEM Peer Learning Assistant program.…
Descriptors: Qualitative Research, Data Analysis, Program Evaluation, Evaluation Methods
Finucane, Mariel McKenzie; Martinez, Ignacio; Cody, Scott – American Journal of Evaluation, 2018
In the coming years, public programs will capture even more and richer data than they do now, including data from web-based tools used by participants in employment services, from tablet-based educational curricula, and from electronic health records for Medicaid beneficiaries. Program evaluators seeking to take full advantage of these data…
Descriptors: Bayesian Statistics, Data Analysis, Program Evaluation, Randomized Controlled Trials
Stelmach, Rachel D.; Fitch, Elizabeth; Chen, Molly; Meekins, Meagan; Flueckiger, Rebecca M.; Colaço, Rajeev – American Journal of Evaluation, 2022
Monitoring, evaluation, and research activities generate important data, but they often fail to change policies or programs. In addition, local program staff and partners often feel disconnected from these activities, which undermines their ownership of data and results. To bridge the gaps between monitoring, evaluation, and research and to give…
Descriptors: Evidence Based Practice, Evaluation, Research, Global Approach
Newcomer, Kathryn; Brass, Clinton T. – American Journal of Evaluation, 2016
The "performance movement" has been a subject of enthusiasm and frustration for evaluators. Performance measurement, data analytics, and program evaluation have been treated as different tasks, and those addressing them speak their own languages in their own circles. We suggest that situating performance measurement and data analytics…
Descriptors: Program Evaluation, Performance, Measurement, Data Analysis
Peck, Laura R. – American Journal of Evaluation, 2015
Several analytic strategies exist for opening up the "black box" to reveal more about what drives policy and program impacts. This article focuses on one of these strategies: the Analysis of Symmetrically-Predicted Endogenous Subgroups (ASPES). ASPES uses exogenous baseline data to identify endogenously-defined subgroups, keeping the…
Descriptors: Program Evaluation, Credibility, Prediction, Sample Size
Louie, Josephine; Rhoads, Christopher; Mark, June – American Journal of Evaluation, 2016
Interest in the regression discontinuity (RD) design as an alternative to randomized control trials (RCTs) has grown in recent years. There is little practical guidance, however, on conditions that would lead to a successful RD evaluation or the utility of studies with underpowered RD designs. This article describes the use of RD design to…
Descriptors: Regression (Statistics), Program Evaluation, Algebra, Supplementary Education
Koleros, Andrew; Jupp, Dee; Kirwan, Sean; Pradhan, Meeta S.; Pradhan, Pushkar K.; Seddon, David; Tumbahangfe, Ansu – American Journal of Evaluation, 2016
This article presents discussion and recommendations on approaches to retrospectively evaluating development interventions in the long term through a systems lens. It is based on experiences from the implementation of an 18-month study to investigate the impact of development interventions on economic and social change over a 40-year period in the…
Descriptors: Foreign Countries, Case Studies, Systems Development, International Programs
Does My Program Really Make a Difference? Program Evaluation Utilizing Aggregate Single-Subject Data
Burns, Catherine E. – American Journal of Evaluation, 2015
In the current climate of increasing fiscal and clinical accountability, information is required about overall program effectiveness using clinical data. These requests present a challenge for programs utilizing single-subject data due to the use of highly individualized behavior plans and behavioral monitoring. Subsequently, the diversity of the…
Descriptors: Program Evaluation, Program Effectiveness, Data Analysis, Research Design
Gee, Kevin A. – American Journal of Evaluation, 2014
The growth in the availability of longitudinal data--data collected over time on the same individuals--as part of program evaluations has opened up exciting possibilities for evaluators to ask more nuanced questions about how individuals' outcomes change over time. However, in order to leverage longitudinal data to glean these important insights,…
Descriptors: Longitudinal Studies, Data Analysis, Statistical Studies, Program Evaluation
Penuel, William R.; Means, Barbara – American Journal of Evaluation, 2011
Major advances in the number, capabilities, and quality of state, national, and transnational databases have opened up new opportunities for evaluators. Both large-scale data sets collected for administrative purposes and those collected by other researchers can provide data for a variety of evaluation-related activities. These include (a)…
Descriptors: Data Collection, Data Analysis, Program Evaluation, Evaluators
Labin, Susan N.; Duffy, Jennifer L.; Meyers, Duncan C.; Wandersman, Abraham; Lesesne, Catherine A. – American Journal of Evaluation, 2012
The continuously growing demand for program results has produced an increased need for evaluation capacity building (ECB). The "Integrative ECB Model" was developed to integrate concepts from existing ECB theory literature and to structure a synthesis of the empirical ECB literature. The study used a broad-based research synthesis method with…
Descriptors: Synthesis, Literature Reviews, Data Analysis, Coding
Carman, Joanne G.; Fredericks, Kimberly A. – American Journal of Evaluation, 2010
In this article, we explore the evaluation capacity of today's nonprofit organizations. We report the findings of a cluster analysis that suggest that when it comes to evaluation, there are three types of nonprofit organizations. The first type of nonprofit organization is one that, by most accounts, is satisfied with their evaluation efforts.…
Descriptors: Nonprofit Organizations, Institutional Characteristics, Multivariate Analysis, Program Implementation
Jackson, Suzanne F.; Kolla, Gillian – American Journal of Evaluation, 2012
In attempting to use a realistic evaluation approach to explore the role of Community Parents in early parenting programs in Toronto, a novel technique was developed to analyze the links between contexts (C), mechanisms (M) and outcomes (O) directly from experienced practitioner interviews. Rather than coding the interviews into themes in terms of…
Descriptors: Foreign Countries, Semi Structured Interviews, Qualitative Research, Comparative Analysis
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