Prediction intervals in exponential families

A method for obtaining prediction intervals for an outcome of a future experiment is presented. The method uses hypothesis testing as a tool to derive prediction intervals and assumes that the probability distributions of informative and future experiments are one parameter exponential families. Asymptotic similar mean coverage prediction intervals are derived using the score test as a test statistics. Examples are presented and asymptotic prediction limits are compared with the prediction limits given in the literature.     

Towards a job competency profile for agricultural extension instructors: A survey of views of experts

A project is carried out for instructors in the agricultural extension service in Esfahan. Part of the project is study, conducted to inform the process of competency profile development for the instructors. The study, reported in this contribution, focuses on views of experts about competencies needed by the instructors. The survey is based on the methodology for developing models of HRD, in which 257 key experts participated. A mix of methods was used for collecting data. The most important competencies found in this study are subject matter and business understanding, and presentation skill. The most essential outputs are presentation of instructional materials, feedback to learners and equipping learners with new competencies after the course. In this contribution, competencies and outputs are elaborated. Further research is needed regarding performance improvement as a result of the efforts of the instructors, and the views of other stakeholders on the development of the agri-clusters.     

Transfer pricing—A survey using discriminant analysis

There is a considerable literature on transfer pricing. One strand of this literature is empirical and is concerned with the extent to which companies use the various transfer pricing methods. The other strand is strongly normative being directed to devising transfer pricing methods and defining the circumstances under which it is appropriate to use them. This study attempts to address both these questions by using discriminant analysis methods to predict which approach a company will use to determine transfer prices given its weightings of certain ‘determinants’ which theory suggests should be relevant to the decision. Domestic and international transfer pricing are considered separately. Discriminant analysis is shown to be quite successful in predicting the transfer pricing systems adopted by the UK companies surveyed.     

Nonparametric bootstrapping for hierarchical data

Nonparametric bootstrapping for hierarchical data is relatively underdeveloped and not straightforward: certainly it does not make sense to use simple nonparametric resampling, which treats all observations as independent. We have provided some resampling strategies of hierarchical data, proved that the strategy of nonparametric bootstrapping on the highest level (randomly sampling all other levels without replacement within the highest level selected by randomly sampling the highest levels with replacement) is better than that on lower levels, analyzed real data and performed simulation studies.     

What influences respondents to behave consistently when asked to consent to health record linkage on repeat occasions?

This study constitutes the first longitudinal exploration of consent to link survey and administrative data. It examines variations in consent over time and explores the influence of the respondents’ characteristics (both observed and latent) and the impact of the interviewers on consent co-operation. Respondent inclination to consent is modelled as a latent construct. Most respondents behave consistently over time. However, this consistency is not driven by a strong inclination to consent but rather by the circumstances of the respondents at the time of the interview and by the impact of the interviewers themselves. The findings also show that the change in consent behaviour over time is a clear indication that consent should be treated as a dynamic phenomenon at the individual level.     

Variation within households in consent to link survey data to administrative records: evidence from the UK Millennium Cohort Study

This study expands our knowledge of consent in linking survey and administrative data by studying respondents’ behaviour when consenting to link their own records and when consenting to link those of their children. It develops and tests a number of hypothesised mechanisms of consent, some of which were not explored in the past. The hypotheses cover: parental pride, privacy concerns, loyalty to the survey, pre-existing relations with the agency holding the data, and interviewer effects. The study uses data from the longitudinal Millennium Cohort Study to analyse the correlates of consent in multiple domains (i.e. linkage of education, health and economic records). The findings show that respondent’s behaviour vary depending on the consent domain and on the person within the household for whom consent is sought. In particular, the cohort member’s cognitive skills and the main respondent’s privacy concerns have differential effects on consent. On the other hand, loyalty to the survey proxied by the longitudinal response history has a significant and strong impact on consent irrespective of the outcome. The findings also show that interviewers account for a large proportion of variations in consent even after controlling for the characteristics of the interviewer’s assignment area. In total, it is possible to conclude that the significant impact of some of the correlates will lead to sample bias which needs to be accounted for when working with linked survey and administrative data.     

Influence diagnostics in constrained general linear models

ABSTRACT

Constrained general linear models (CGLMs) have wide applications in practice. Similar to other data analysis, the identification of influential observations that may be potential outliers is an important step beyond in the CGLMs. We develop multiple case-deletion diagnostics for detecting influential observations in the CGLMs. The diagnostics are functions of basic building blocks: studentized residuals, error contrast matrix, and the inverse of the response variable covariance matrix. The basic building blocks are computed only once from the complete data analysis and provide information on the influence of the data on different aspects of the model fit. Computational formulas are given which make the procedures feasible. An illustrative example with a real data set is also reported.     

The impact of frequency of contact on protégé mentoring outcomes: the moderating effects of protégé general self-efficacy and face-to-face interaction

As a Human Resource Development (HRD) intervention, mentoring assists individuals in their career development. However, it is still unknown if mentoring could enhance individuals’ early career decision-making. Moreover, the literature lacks longitudinal research that investigates the role of frequency of contact in mentoring relationships. Therefore, this study examines whether frequency of contact between mentor and protégé influences protégé mentoring outcomes, namely, improvement in career decision self-efficacy (i.e. CDSE development) and satisfaction with mentoring. Data were collected at two times from 86 first-year undergraduate students who participated in a mentoring programme at a Middle Eastern business school, where email communication facilitated the contact between these protégés and their mentors. Based on regression analyses, the associfations were significant between frequency of contact and mentoring outcomes. The findings partially confirmed the effects of two moderating variables in the relationships mentioned above. This study has practical implications for HRD practitioners in higher-education institutions.     

Explaining Unequal Levels of Social Capital in Tehran

Social capital may act as an asset to serve people in various situations. However, people do not equally enjoy the same level of social capital and there is inequality in distribution of this asset in societies. There is few research within the wider literature exploring the determinants of inequality in social capital. This study measured and decomposed inequality in the distribution of social capital in Tehran using a concentration index approach. Data was gathered through a survey in 2008, the sample included 2484 of over 18-year old residents. Social Capital Integrated Questionnaire was used to measure social capital status, its dimensions (networking, trust, and cooperation) and outcomes (cohesion and political action). Most of social capital dimensions/outcomes were unequally distributed in Tehran, favouring the rich. However, in terms of political action, the poor were more politically active than the rich in Tehran. Decomposition showed that economic status and education had the highest contributions to the observed inequalities. In efforts to move towards a more just society, these findings can inform future policies in Iran to tackle the observed inequalities in social capital.     

The Impact of Transformational Leadership on Organizational Citizenship Behaviours: The Contingent Role of Public Service Motivation

In this paper we examine whether the relationship between transformational leadership and organizational citizenship behaviours (OCBs) is contingent on public service motivation (PSM). We propose that PSM may reduce the motivational influences of transformational leaders’ behaviours on followers’ OCBs in public sector organizations. Using a sample of Mexican employees we tested this proposition with structural equation modelling. Our results show that the motivational effects of transformational leadership were less for public sector followers higher in PSM than for those lower in PSM. A follow‐up study in private sector organizations did not reveal a similar interaction effect. These findings appear consistent with previous research demonstrating that PSM is more aligned to the goals and values of public rather than private sector organizations. Nevertheless, the direct effects of PSM on OCBs remained in the private sector.