Test development and use: New twists on old questions

Over the past several decades, there have been some significant advances in psychological science, specifically in our knowledge about important questions to address with respect to the development and use of assessment tools. This article focuses on developments in research and guidelines for practice in five selected areas that, if applied, will lead to more informed use of assessment tools. The five areas that we discuss are validity generalization, statistical significance testing, criterion measures, cutoff scores, and cross‐validation. © 2005 Wiley Periodicals, Inc.     

Pricing and Mispricing Effects of SFAS 131

Abstract:  We investigate the effects of the introduction of Statement of Financial Accounting Standards No. 131 (SFAS 131) on the market's valuation of foreign earnings. Thomas (1999) documents that investors discount the value of foreign earnings for US multinational companies. He conjectures but does not test the possibility that this finding is due to poor disclosure related to foreign operations. We find strong evidence that the introduction of the standard is positively associated with the pricing of foreign earnings. In addition, we use both the Mishkin (1983) test and a zero-investment hedge portfolio test and find that investors' mispricing of foreign earnings lessens (and in fact disappears) after SFAS 131. This study is one of the first attempts to show that improved disclosure reduces mispricing.     

THE EFFECT OF A SINKING FUND ON THE REOFFERING YIELDS OF NEW PUBLIC UTILITY BONDS

In this study, empirical tests are conducted to determine the impact of a sinking fund on reoffering yields of a sample of new public utility bonds sold between January 1977 and March 1982. The findings of the regression analysis are consistent with the hypotheses that the value of the sinking fund varies with the default risk of the issuer and with market expectations of future interest rate movements, and that the sinking fund improves the liquidity of a bond issue.     

Beyond belief: A benchmark for human resources

Many Human Resource (HR) professionals feel and believe that they have made progress during the 1980s. Unfortunately, without data to benchmark progress, assessments must depend on perception rather than evidence. To move beyond belief towards a national HR database, this article reports research on over 10,000 individuals in 1200 businesses in 91 firms. It establishes a benchmark for HR practices and HR professionals. It also highlights areas where HR professionals may focus attention to become more successful as business partners.     

A Meta-Analysis of Achievement Motivation Differences between Entrepreneurs and Managers*

As a result of conflicting conclusions in primary studies, most narrative reviews have questioned the role of personality in explaining entrepreneurial behavior. We examine one stream of this research by conducting a meta-analysis of studies that contrast the achievement motivation of entrepreneurs and managers. The results indicate that entrepreneurs exhibit higher achievement motivation than managers and that these differences are influenced by the entrepreneur's venture goals, by the use of U.S. or foreign samples, and, to a less clear extent, by projective or objective instrumentation. Moreover, when the analysis is restricted to venture founders, the difference between entrepreneurs and managers on achievement motivation is substantially larger and the credibility intervals do not include zero.     

A spatial interaction model for deriving joint space maps of bundle compositions and market segments from pick-any/J data: An application to new product options

We propose an approach for deriving joint space maps of bundle compositions and market segments from three-way (e.g., consumers x product options/benefits/features x usage situations/scenarios/time periods) pick-any/J data. The proposed latent structure multidimensional scaling procedure simultaneously extracts market segment and product option positions in a joint space map such that the closer a product option is to a particlar segment, the higher the likelihood of its being chosen by that segment. A segment-level threshold parameter is estimated that spatially delineates the bundle of product options that are predicted to be chosen by each segment. Estimates of the probability of each consumer belonging to the derived segments are simultaneously obtained. Explicit treatment of product and consumer characteristics are allowed via optional model reparameterizations of the product option locations and segment memberships. We illustrate the use of the proposed approach using an actual commercial application involving pick-any/J data gathered by a major hi-tech firm for some 23 advanced technological options for new automobiles.