Getting to the Bottom Line
A Method for Synthesizing Findings Within Mixed-method Program Evaluations
Bibliographic Data
| ID | 12470945 |
|---|---|
| Authors | Andrew Mcconney (0000-0001-7618-8829, Florida Gulf Coast University, corresponding author), Andy Rudd, Robert Ayres |
| Year | 2002 |
| Volume | 23 |
| Issue | 2 |
| Pages | 121-140 |
| Publication date | 2002-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Journal of Evaluation (JOURNAL) |
| Journal identifiers | ISSN: 1098-2140 • E-ISSN: 1557-0878 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/109821400202300202 |
| OpenAlex | W4247815738 |
| Language | EN |
| Citations received | 9 |
| References cited | 14 |
Evaluators who are concerned more with pragmatics than with competing epistemologies have brought multi- and mixed-method evaluations into common practice. Program evaluators commonly use multiple methods and mixed data to capture both the breadth and depth of information pertaining to the evaluand, and to strengthen the validity of findings. However, multiple or mixed methods may yield incongruent results, and evaluators may find themselves reporting seemingly conflicting findings to program staff, policy makers, and other stakeholders. Our purpose is to offer a method for synthesizing findings within multi- or mixed-method evaluations to reach defensible evaluation (primarily summative) conclusions. The proposed method uses a set of criteria and analytic techniques to assess the worth of each data source or type and to establish what each says about program effect. Once on a common scale, simple math allows synthesis across data sources or types. The method should prove a useful tool for evaluators
Evaluation methods · Formative assessment · Management science · Mathematics education · Multimethodology · Program evaluation · Scale (ratio · Set (abstract data type · Simple (philosophy · Statistics · Summative assessment · Computer Science · Educational Assessment and Improvement · Engineering · Evaluation and Performance Assessment · Health Policy Implementation Science · Mathematics · Psychology
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Assessing Triangulation Across Methodologies, Methods, and Stakeholder Groups
Measuring the effectiveness of mental health courts
Mixed methodology
Data Analysis Strategies for Mixed-Method Evaluation Designs
Numbers and Words
Defining and describing the paradigm issue in mixed‐method evaluation
Qualitative and quantitative methods
Toward a Conceptual Framework for Mixed-Method Evaluation Designs
Qualitative and quantitative methods in evaluation research
Sociological Methods
Qualitative Methodology
Primary, Secondary, and Meta-Analysis of Research
| Unique citing works | 9 |
|---|---|
| Citations per year | 0,43 |
| Citation span | 2005 - 2019 (15) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 9 |