On confidence limits for the difference of two binomial parameters

In the present article we suggest two new methods for calculating approximate confidence limits for the differences of the two binomial parameters. Different methods for determining the confidence interval are compared.     

Union administrative practices: A comparative analysis

In response to growing challenges, many labor organizations are reevaluating themselves in an effort to become more efficient and effective. Their efforts, however, are limited by their frames of reference. Seldom do unions compare practices across labor movements. To expand these frames of reference we compare union administrative practices in three countries: Canada, the United Kingdom, and the United States. Two specific areas of union administration are examined — human resource/personnel practices and strategic planning. Results from these countries are presented and analyzed to identify and explain similarities and differences.     

Asymptotic normality of MRPP statistics from invariance principles of u-statistics

Multi-response permutation procedures (MRPP) were recently introduced to test differences between a priori classified groups of objects ( Mielke, Berry Johnson, 1976; Mielke, 1979 ). The null distributions of the MRPP statistics were initially conjectured to be asymptotically normal for some specified conditions within the setting of a sequence of finite populations due to Madow ( 1948 ).

Asymptotic normality of a class of MRPP statistics (under the null hypothesis) is shown in two cases: (i) the setting which considers the populations to be the samples resulting from sequential independent identically distributed (i.i.d.) sampling (sampling from infinite populations) and (ii) the setting of a sequence of increasingly large finite populations (sampling from finite populations). The results are direct applications of the weak convergence of a U-statistic process in the i.i.d. case to a Brownian motion (Bhattacharyya and Sen, 1977) and of the weak convergence of a U-statistic process in the finite populations case to a Brownian bridge (Sen, 1972). The conditions are milder for the i.i.d. case than for the finite populations case. However, neither case provides a restriction of a practical consequence in applications of MRPP. In either case, convergence is shown to depend on the asymptotic ratios of the group sizes to the population size.     

Regression methods for high dimensional multicollinear data

To compare their performance on high dimensional data, several regression methods are applied to data sets in which the number of exploratory variables greatly exceeds the sample sizes. The methods are stepwise regression, principal components regression, two forms of latent root regression, partial least squares, and a new method developed here. The data are four sample sets for which near infrared reflectance spectra have been determined and the regression methods use the spectra to estimate the concentration of various chemical constituents, the latter having been determined by standard chemical analysis. Thirty-two regression equations are estimated using each method and their performances are evaluated using validation data sets. Although it is the most widely used, stepwise regression was decidedly poorer than the other methods considered. Differences between the latter were small with partial least squares performing slightly better than other methods under all criteria examined, albeit not by a statistically significant amount.     

Essay in review

Miriam Kochan, Britain's Internees in the Second World War (Macmillan, 1983). Pp.xiii + 182. £17.50.     

Global‐Before‐Basic Object Categorization in Connectionist Networks and 2‐Month‐Old Infants

A 3‐layered backpropagation connectionist network, configured as an autoassociator, learned to form global (e.g., mammal) before basic‐level (e.g., cat) category representations from perceptual input. To test the predicted global‐to‐basic order of category learning of the network, 2‐month‐olds were administered the familiarization/novelty‐preference procedure and examined for representation of global and basic‐level categories. Infants formed a global category representation for mammals that excluded furniture but not a basic‐level representation for cats that excluded elephants, rabbits, or dogs. The empirical results are consistent with the global‐to‐basic learning sequence observed in the network simulations.     

The impact of a participatory organizational intervention on job stress in community health care institutions

The aim of the present study was to investigate the effect of a short-term participatory intervention in health care institutions in Norway on workers' control, other job characteristics, job stress, subjective health and job satisfaction. Participants (including managers and supervisors) were randomly allocated to intervention groups and to a control group. Actions to solve problems based on the employees' own perceptions of the main problems were seen as the key motivators for organizational improvement and increased control at the task and office level in the work situation. The main stressors identified by the participants in this study were lack of information, communication and respect between professions, as well as the need for professional and personal development. The participatory intervention had a positive, but limited effect on work-related stress, job characteristics, learning climate and management style, and seemed to have started a beneficial change process. There were no negative short-term effects on work-related stress and job demands. Organizational interventions may be a potential training ground for acquiring participatory skills and resources, and if sustained after the intervention period, they can have long-term effects on problem solving, job stress and employee satisfaction.