Construction and validation of Rejection Sensitive Expectation,Perception, and Reaction Questionnaire—Partner (RSEPR-P)

The Rejection Sensitive Expectation, Perception, and Reaction Questionnaire—Partner (RSEPR-P) was developed to assess rejection expectation, perception of rejection, and reactions to perceived rejection among intimate partners. This article details the construction and validation procedures, including item pool generation, factor analysis, and the estimation of reliability and validity. The researchers examined the psychometric properties of RSEPR-P in a community sample of 151 participants. Confirmatory factor analysis (CFA) with the final 24 items suggested four-factor loading with each subscale loading on a separate factor. The subscales had good to excellent internal consistency. In support of the convergent validity, RSEPR-P exhibited robust correlations with rejection sensitivity-personal, mindfulness, marital adjustment, and self-esteem measures. A 6-month test–retest reliability was established. RSEPR-P is proposed to have potential therapeutic and research utility.     

A comparison of model selection criteria

There has been significant new work published recently on the subject of model selection. Notably Rissanen (1986, 1987, 1988) has introduced new criteria based on the notion of stochastic complexity and Hurvich and Tsai(1989) have introduced a bias corrected version of Akaike's information criterion. In this paper, a Monte Carlo study is conducted to evaluate the relative performance of these new model selection criteria against the commonly used alternatives. In addition, we compare the performance of all the criteria in a number of situations not considered in earlier studies: robustness to distributional assumptions, collinearity among regressors, and non-stationarity in a time series. The evaluation is based on the number of times the correct model is chosen and the out of sample prediction error. The results of this study suggest that Rissanen's criteria are sensitive to the assumptions and choices that need to made in their application, and so are sometimes unreliable. While many of the criteria often perform satisfactorily, across experiments the Schwartz Bayesian Information Criterion (and the related Bayesian Estimation Criterion of Geweke-Meese) seem to consistently outperfom the other alternatives considered.     

The ties that lead: A social network approach to leadership

This article investigates, for leadership research, the implications of new directions in social network theory that emphasize networks as both cognitive structures in the minds of organizational members and opportunity structures that facilitate and constrain action. We introduce the four core ideas at the heart of the network research program: the importance of relations, actors' embeddedness, the social utility of connections, and the structural patterning of social life. Then we present a theoretical model of how network cognitions in the minds of leaders affect three types of networks: the direct ties surrounding leaders, the pattern of direct and indirect ties within which leaders are embedded in the whole organization and the interorganizational linkages formed by leaders as representatives of organizations. We suggest that these patterns of ties can contribute to leader effectiveness.     

Are Individual Differences Germane to the Acceptance of New Information Technologies?

Persuading users to adopt new information technologies persists as an important problem confronting those responsible for implementing new information systems. In order to better understand and manage the process of new technology adoption, several theoretical models have been proposed, of which the technology acceptance model (TAM) has gained considerable support. Beliefs and attitudes represent significant constructs in TAM. A parallel research stream suggests that individual difference factors are important in information technology acceptance but does not explicate the process by which acceptance is influenced. The objective of this paper is to clarify this process by proposing a theoretical model wherein the relationship between individual differences and IT acceptance is hypothesized to be mediated by the constructs of the technology acceptance model. In essence then, these factors are viewed as influencing an individual's beliefs about an information technology innovation; this relationship is further supported by drawing upon extensive research in learning. The theoretical model was tested in an empirical study of 230 users of an information technology innovation. Results confirm the basic structure of the model, including the mediating role of beliefs. Results also identify several individual difference variables that have significant effects on TAM's beliefs. Theoretical contributions and practical implications that follow are discussed.     

Management Perceptions of Market Liberalization

Previous studies, examining the impact of market liberalization in the emerging nations, at the level of the firm, included analyses of whether newly privatized state-enterprises financially perform better than they did before privatization. The impact of changes in the liberalized economic environment on companies that have been operating in the private sector has received scant attention. Recognizing that management control of smaller and medium-sized firms in emerging nations remains in the hands of the founders, or the founders' family members, this paper reports the findings of a survey from a region in India focusing on managerial perceptions of performance at the company-level and the manufacturing-level. The statistical results suggest that market liberalization is perceived as having a positive impact at the company-level. This revised version was published online in July 2006 with corrections to the Cover Date.     

A model for estimating adolescent sterility among married women

A model to estimate adolescent sterility among married women is presented using the principle of convex combination of two or more probability density functions.