Qualitative Research Methods for Evaluating Computer Information Systems
Qualitative Research Methods for Evaluating Computer Information Systems
复制标题
评估计算机信息系统的定性研究方法
DOI:
10.1007/0-387-30329-4_2
复制
发表时间:
2005
期刊:
影响因子:
--
通讯作者:
J. Maxwell
中科院分区:
文献类型:
--
作者:
B. Kaplan;J. Maxwell
Qualitative research methods are being used increasingly in evaluation studies, including evaluations of computer systems and information technology. This chapter provides an overview of the nature and appropriate uses of qualitative methods and of key considerations in conducting qualitative research.The goal of qualitative research is understanding issues or particular situations by investigating the perspectives and behavior of the people in these situations and the context within which they act. To accomplish this, qualitative research is conducted in natural settings and uses data in the form of words rather than numbers. Qualitative data are gathered primarily from observations, interviews, and documents, and are analyzed by a variety of systematic techniques. This approach is useful in understanding causal processes, and in facilitating action based on the research results. Qualitative methods are primarily inductive. Hypotheses are developed during the study so as to take into account what is being learned about the setting and the people in it. Qualitative methods may be combined with quantitative methods in conducting a study. Validity threats are addressed primarily during data collection and analysis. The chapter discusses these points and uses an evaluation of a clinical laboratory information system to illustrate them. Computer information systems can significantly improve patient care, hospital management and administration, research, and health and medical education. However, many systems do not achieve these goals. Dowling estimated that 45% of computer-based medical information systems failed due to user resistance, even though these systems were sound technologically. Thus, the stakes in developing, implementing, and evaluating such systems are high [1].