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Short-term absence from industry: III The inference of `proneness and a search for causes

机译:行业中的短期缺席:III倾向的推论和原因寻找

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摘要

>Froggatt, P. (1970).Brit. J. industr. Med.,>27, 297-312. >Short-term absence from industry. III. The inference of `proneness' and a search for causes. The abilities of five hypotheses (`chance', `proneness', and three of `true contagion' - as defined in the text) to explain the distributions of one-day and two-day absences among groups of male and female industrial personnel and clerks in government service are examined by curve-fitting and correlation methods. The five hypotheses generate (in order) the Poisson, negative binomial, Neyman type A, Short, and Hermite (two-parameter form) distributions which are fitted to the data using maximum-likelihood estimates. The conclusion is drawn that `proneness', i.e., a stable `liability', compounded from several though unquantifiable factors, and constant for each individual over the period of the study, is markedly successful in explaining the data. It is emphasized that some of the other hypotheses under test cannot be unequivocably rejected; and there is in theory an infinite number, still unformulated or untested, which may be acceptable or even fit the data better.Correlation coefficients for the numbers of one-day (and two-day) absences taken by the same individuals in two equal non-overlapping periods of time are of the order 0·5 to 0·7 (0·3 to 0·5 for two-day absences) and the corresponding regressions fulfil linear requirements. These correlations are higher than any between `personal characteristics' and their overt consequence in contingent fields of human enquiry. For one-day absences the predictive power for the future from the past record could in some circumstances justify executive action.When freely available, overtime was greatest among junior married men and least among junior married women.The validity of the inference of `proneness' and the implications of its acceptance are fully discussed. While interpretation is not unequivocal, one-day absences seemingly have many causes; two-day absences are also heterogeneous but in some ways resemble longer certified absence.It is concluded that short-term absence, particularly of one day, may be largely the overt expression of a traditional desire, even need, to work discontinuously which, though it can be mitigated by often identifiable general and individual circumstances, is consistently more marked in some individuals than in others.
机译:> Froggatt,P.(1970)。英国。 J.工业。 Med。,> 27, 297-312。 >行业短期缺席。三,推论“倾向性”和寻找原因。用五种假设(“机会”,“倾向性”和“真实传染”中的三种-如本文所定义)解释一种分布的能力通过曲线拟合和相关方法研究了男女工业人员和公职人员之间的两天和两天缺勤情况。这五个假设生成(按顺序)泊松分布,负二项式分布,内曼A型分布,肖特分布和埃尔米特分布(两参数形式),这些分布使用最大似然估计进行拟合。得出的结论是,“倾向”,即稳定的“责任”,由几个尽管无法量化的因素综合而成,并且在研究期间每个人都保持不变,在解释数据方面非常成功。需要强调的是,其他一些尚待检验的假设也不能被明确拒绝。在理论上有无数个仍未计算或未经测试的数字,这可能是可以接受的,甚至可以更好地拟合数据。两个相同的非同一个人中同一个人一天(和两天)缺勤次数的相关系数。 -重叠的时间周期为0·5到0·7(两天缺勤为0·3到0·5),相应的回归满足线性要求。这些相关性高于“个人特征”与其在偶然询问领域中的明显结果之间的任何相关性。对于一天的缺勤情况,过去的记录对未来的预测能力在某些情况下可以证明高管采取的行动是合理的。如果可以自由使用,则在初婚男子中加班时间最多,而在初婚妇女中加班时间最少。并对其接受的含义进行了充分讨论。尽管口译并非一成不变,但一天的缺勤似乎有很多原因。两天的缺勤也是异类的,但在某些方面类似于较长的认证缺勤。结论是,短期缺勤,尤其是一天的缺勤,在很大程度上可能是传统的愿望,甚至是需要不连续工作的明显表达,尽管通常可以识别的一般情况和个人情况可以缓解这种情况,某些人始终比其他人更加明显。

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