MISSING DATA: A CONCEPTUAL REVIEW FOR APPLIED PSYCHOLOGISTS 论文

1994Personnel Psychology引用 911
Statistical Methods and Bayesian InferenceSpatial and Panel Data AnalysisBayesian Methods and Mixture Models

详细信息

发表期刊/会议
Personnel Psychology
发表日期
1994-09-01
发表年份
1994

关键词

Statistical Methods and Bayesian InferenceSpatial and Panel Data AnalysisBayesian Methods and Mixture Models

摘要

There has been conspicuously little research concerning missing data problems in the applied psychology literature. Fortunately, other fields have begun to investigate this issue. These include survey research, marketing, statistics, economics, and biometrics. A review of this literature suggests several trends for applied psychologists. For example, listwise deletion of data is often the least accurate technique to deal with missing data. Other methods for estimating missing data scores may be more accurate and preserve more data for investigators to analyze. Further, the literature reveals that the amount of missing data and the reasons for deletion of data impact how investigators should handle the problem. Finally, there is a great need for more investigation of strategies for dealing with missing data, especially when data are missing in nonrandom or systematic patterns.