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Massey, Oliver T. – Evaluation and Program Planning, 2011
Focus groups have an established history in applied research and evaluation. The fundamental methods of the focus group technique have been well discussed, as have their potential advantages. Less guidance tends to be provided regarding the analysis of data resulting from focus groups or how to organize and defend conclusions drawn from the…
Descriptors: Higher Education, Evaluation Research, Focus Groups, Models
Lee, Yi-Fang; Altschuld, James W.; White, Jeffry L. – Evaluation and Program Planning, 2007
Needs assessment (NA) is generally based on the discrepancy between two conditions--the desired and present states. To date, there has not been an extensive research regarding a number of subtle problems in discrepancy analysis. One such example is missing data for one or both the two states. This leads to highly varied item "n's" for calculating…
Descriptors: Evaluators, Student Evaluation, Needs Assessment, Data Analysis

McClintock, Charles; Greene, Jennifer – Evaluation and Program Planning, 1985
A between method triangulation strategy was used to evaluate a process for long-range program planning. One study team conducted interviews and the other used a mail questionnaire. The resulting problems in coordination between teams are discussed. (Author/GDC)
Descriptors: Comparative Analysis, Cooperation, Data Analysis, Data Collection

Newman, Frederick L.; And Others – Evaluation and Program Planning, 1992
Conditions influencing conduct and impact of state-level program evaluation are explored. A model is offered as a guide for assessing conduct and impact, and its use is demonstrated by a case study contrasting the approaches of two states examining an issue raised by the Federal Health Care Financing Agency. (SLD)
Descriptors: Case Studies, Cluster Analysis, Comparative Analysis, Data Analysis

Smith, Nick L. – Evaluation and Program Planning, 1990
A meta-analysis combining expert evaluation with naturalistic case study methods indicates that such investigations must use special methods to render evaluative judgments of worth. It is demonstrated that descriptive, interpretive, and evaluative aspects of such a study must be combined to yield justifiable conclusions. (TJH)
Descriptors: Aboriginal Australians, Case Studies, Data Interpretation, Meta Analysis

Schlenger, William E.; And Others – Evaluation and Program Planning, 1994
The rationale for a multistage approach to evaluating services demonstration programs is discussed. The approach takes into account limitations that are often found in such programs. The National Evaluation of Models for Linking Drug Abuse Treatment and Primary Care provides an example. (SLD)
Descriptors: Data Collection, Delivery Systems, Demonstration Programs, Drug Abuse

Mowbray, Carol T.; Luke, Douglas – Evaluation and Program Planning, 1996
Articles in this special issue suggest improvements in longitudinal program evaluation to meet the challenges of evaluation of human services programs. Contributions describe innovations in design, methods, data analysis, utilization, and interpretation of the findings of longitudinal studies. (SLD)
Descriptors: Data Analysis, Evaluation Methods, Evaluation Research, Evaluation Utilization

Wu, Ping; Campbell, Donald T. – Evaluation and Program Planning, 1996
Structural equation models reanalyzed data from the 1969 Westinghouse Head Start evaluation and extended the analysis to blacks and full-year programs. Results showed that the selection bias for summer program whites was absent for blacks and full-year program whites, and that Head Start helped the most disadvantaged children. (SLD)
Descriptors: Black Students, Data Analysis, Disadvantaged Youth, Early Childhood Education

Green, Rex S., Ed.; Newman, Frederick L., Ed. – Evaluation and Program Planning, 1993
The six articles of this special section address the organizational context that shapes utilization of mental health services, the relevance of data elements and results to decision making, and assuring the validity of evaluation results. Theoretical and practical concerns are considered. (SLD)
Descriptors: Client Characteristics (Human Services), Coping, Data Collection, Decision Making