Toward an information society: Changing occupational structure in Singapore
In: Asian survey: a bimonthly review of contemporary Asian affairs, Band 27, Heft 3, S. 355-370
ISSN: 0004-4687
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In: Asian survey: a bimonthly review of contemporary Asian affairs, Band 27, Heft 3, S. 355-370
ISSN: 0004-4687
World Affairs Online
In: New directions for evaluation: a publication of the American Evaluation Association, Band 1997, Heft 74, S. 61-72
ISSN: 1534-875X
AbstractThe application of mixed methods under the framework of theory‐driven evaluations can minimize the potential tension and conflict of mixing qualitative and quantitative methods, as well as compensate for each method's weaknesses. Mixed methods should not be applied indiscriminantly, however, but rather contingently under particular conditions as described in this chapter.
In: Evaluation and Program Planning, Band 20, Heft 2, S. 195-204
In: Evaluation and program planning: an international journal, Band 20, Heft 2, S. 195-204
ISSN: 0149-7189
In: Journal of social service research, Band 17, Heft 1-2, S. 1-17
ISSN: 1540-7314
In: New directions for program evaluation: a quarterly sourcebook, Band 1990, Heft 47, S. 7-18
ISSN: 1534-875X
AbstractIn designing theory‐driven evaluations, it is important to understand the normative and causative aspects of program theory, different theory‐construction approaches, the typology of theory‐driven evaluations, and analytical techniques for carrying out the evaluations.
In: Evaluation and Program Planning, Band 12, Heft 4, S. 391-396
In: Evaluation and Program Planning, Band 12, Heft 4, S. 297
In: Evaluation and program planning: an international journal, Band 12, Heft 4, S. 391-396
ISSN: 0149-7189
In: Policy & politics, Band 16, Heft 1, S. 1-16
ISSN: 1470-8442
This article reviews current major methods of ensuring validity in evaluation research. In reviewing rationales advanced for the primacy of the experimental paradigm, I argue that the use of randomized experiments in program evaluation may not be as powerful as its advocates claim. Furthermore, the rigidity of the randomized experimental design may emphasize internal validity at the expense of other types of validity. Especially important, I argue, is that evaluations based on experimental paradigms tend not to yield information useful to policy makers.
Various quasi-experiments have been considered inferior to randomized experiments in internal validity by Campbell and Stanley. However, due to later developments of sophisticated methods as ARIMA models and modelling selection bias, the gap between randomized experiments and quasi-experiments in dealing with internal validity has narrowed. Furthermore, quasi-experiments also have other advantages such as unobtrusiveness and greater applicability to the evaluation of human services programs.
Current approaches to validity tend to be a single-validity oriented approach; that is, they tend to achieve one type of validity at the expense of others. I propose a theory-driven approach that attempts to provide a more balanced view. The emphasis of this approach is to stress the incorporation of formal models or theory into program evaluation, thereby articulating clearly the identified potential threats to validity in a research. The theory-driven approach can and should deal with internal, external, construct, and statistical conclusion validity simultaneously.
In: Policy & politics: advancing knowledge in public and social policy, Band 16, Heft 1, S. 1
ISSN: 0305-5736
In: Sociological methods and research, Band 12, Heft 1, S. 3-29
ISSN: 1552-8294
Current effect-decomposition methods have three major weaknesses: (1) the conceptual framework used, although appropriate for recursive models, is too narrow for use in nonrecursive models; (2) the discussion of nonrecursive models has been limited to single-loop simultaneous models; and (3) the computation procedures are complicated and laborious or they require additional computer works. This article proposes the use of a flowgraph method that eliminates these difficulties. It is shown that with a limited number of flowgraph analysis rules, the effects in either recursive or nonrecursive models can be easily decomposed.
In: Contributions in political science series 290
This collection of essays edited by Huey-tsyh Chen and Peter H. Rossi underscores the importance of theory in program evaluation and analyzes the nature and implications of theory-driven evaluations. Scholars from different disciplines cover a wide range of issues, such as functions of program theory, the interface between theory and methods, strategies for formulating theory, cost and resource constraints, different types of theory-driven evaluations, and the future implications of such evaluations. This broad-based analysis is designed for interdisciplinary audiences in all the social sciences, including political scientists, sociologists, and public administrators. The policy study analysis points to four types of theory that guide evaluations and describe theory-driven metaevaluation. Five approaches are used to analyze research strategies and methods. Three applications offer insights into programs and policies and their implementation - multigoal theory-driven approaches, programs for the homeless, and children's mental health services. Five chapters examine applications in impact assessment and cost-benefit analysis - the importance of theory in selection modeling, the impact of plant closings, research-based theory for educational planning and evaluation, using meta-analysis in evaluation, and theory-driven approaches to cost-benefit analysis.