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Braverman, Marc T. – Journal of Extension, 2016
Extension program evaluations often present opportunities to analyze data in multiple ways. This article suggests that program evaluations can involve more sophisticated data analysis approaches than are often used. On the basis of a hypothetical program scenario and corresponding data set, two approaches to testing for evidence of program impact…
Descriptors: Extension Education, Program Evaluation, Data Analysis, Multivariate Analysis
Schultz, Jennifer; Litchfield, Ruth – Journal of Extension, 2016
Short dietary assessment instruments known as screeners have potential for use in evaluating nutrition education programming because detecting change in dietary intake can demonstrate movement toward program goals. Using screeners results in objective dietary intake data but involves less administrative time, training, and cost than other…
Descriptors: Dietetics, Nutrition Instruction, Program Evaluation, Extension Education
Skelly, JoAnne; Hill, George; Singletary, Loretta – Journal of Extension, 2014
Extension professionals often assess community needs to determine programs and target audiences. Data can be collected through surveys, focus group and individual interviews, meta-analysis, systematic observation, and other methods. Knowledge gaps are identified, and programs are designed to resolve the deficiencies. However, do Extension…
Descriptors: Needs Assessment, Data Analysis, Community Needs, Extension Education
Durden, Tonia R.; Mincemoyer, Claudia C.; Gerdes, Jennifer; Lodl, Kathleen – Journal of Extension, 2013
In recent years much attention has focused on the role of enhancing a teacher's professional knowledge and skills in helping to improve the quality of early care experiences for young children birth-5. In the study reported here, an environmental scan of the early childhood professional development programs offered within the Extension system…
Descriptors: Extension Education, Faculty Development, Early Childhood Education, Educational Quality

Santos, J. Reynaldo A. – Journal of Extension, 2000
This article discusses and illustrates the three ways by which information from a multiple response questionnaire can be analyzed, its impact on the resulting summary tables, and the implications for the interpretation of survey results. It also underscores the importance of communicating with a data analyst during the questionnaire design phase.…
Descriptors: Data Analysis, Data Interpretation, Extension Education, Programming