Evaluation Research
Julia Wippersberg
Abstract
Julia Wippersberg
Abstract
Evaluation is an instrument to generate data empirically for a distinctive purpose; the data is rated and used as the basis for further decisions. Therefore, a set of research methods is utilized. The concordant general goal of evaluation is to provide “useful feedback” on programs and policies to different audiences based on the systematic acquisition and assessment of information to reduce uncertainty and to inform and influence decision‐making and policy formulation. Four fundamental purposes can be stated: advocacy, accountability, analysis, and allocation. In addition, there are two main types of evaluation: formative and summative. The acquisition of data needed for an evaluation should be done using a variety of methods, either quantitative or qualitative.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Evaluation is an instrument to generate data empirically for a distinctive purpose; the data is rated and used as the basis for further decisions. Therefore, a set of research methods is utilized. The concordant general goal of evaluation is to provide “useful feedback” on programs and policies to different audiences based on the systematic acquisition and assessment of information to reduce uncertainty and to inform and influence decision‐making and policy formulation. Four fundamental purposes can be stated: advocacy, accountability, analysis, and allocation. In addition, there are two main types of evaluation: formative and summative. The acquisition of data needed for an evaluation should be done using a variety of methods, either quantitative or qualitative.
Key concepts: Summative assessment, Formative assessment, Variety (cybernetics), Accountability, Set (abstract data type), Computer science, Management science, Evaluation methods