AN EVALUATION OF METHODS TO SELECT RESPONDENTS TO STRUCTURED JOB‐ANALYSIS QUESTIONNAIRES
评估了两种选择能准确回答工作分析问卷的受访者的方法：一种基于员工背景、绩效和组织信息，另一种基于数据计算指标（D指数和粗心指数）。对343名心理健康工作者样本的应用提出了四条工作分析建议。
The purpose was to evaluate methods for selecting respondents who would respond accurately to items on a job‐analysis questionnaire. One general method involved obtaining from employees measures that assessed background, performance, and organizational information. This information could be used to identify respondents who were knowledgeable about the job and, therefore, able to rate the job accurately. A second general method involved collecting job‐analysis data from all potential job‐analysis respondents and, on the basis of indices computed on these data, selecting a subsample from them. Two indices were investigated: (1) the D index, which assessed similarity between an individual's ratings and the population's mean ratings, and (2) the carelessness index, which measured an individual's tendency to rate tasks known to be unrelated to the focal job as important. Both methods were applied to a sample of 343 mental‐health workers. Four general postulates for job analysts were proposed on the basis of the results: (1) Different selection measures yield somewhat different job‐analysis respondents. (2) Respondents are not equally accurate and, with the use of the carelessness index, may be screened for the tendency to make errors. (3) In some applications, the number of sampled respondents needs to be greater than three in order to obtain reliable results. (4) To the degree that the job is ill‐defined and unstable, the selection of job‐analysis respondents assumes greater importance and is riskier.