My word! Interference from reading object names implies a role for competition during picture name retrieval

A related word prime has been found to interfere with picture naming after unrelated intervening trials (word-to-picture interference). Recently, Stroop-type picture–word interference effects have been interpreted in terms of a postlexical response exclusion process rather than a competitive lexical selection process. An experiment is reported that examines whether word-to-picture effects could reflect response exclusion mechanisms and, more generally, strategic processing of the word prime. Forty-eight volunteer university students named aloud sequences of semantically related (and unrelated) word primes and picture targets, separated by two unrelated filler stimuli. On half of the trials, participants were asked to count backwards in threes from a random number presented immediately after naming the prime word. They were also given a surprise recall test at the end of the naming block. Results for naming times and errors indicated a main effect of relatedness; semantic interference effects were not dependent on the unfilled gap following the word prime trial and were also not tied to episodic recall of prime words. The data indicate that slowed picture naming times are more likely to emerge from processes intrinsic to word prime naming rather than controlled processing and do not readily fit the postlexical response exclusion account. The results are considered in relation to two recent accounts of interference over unrelated trials, which refer to some form of competition at, or prior to, lexical access.     

School Effectiveness Findings 1979–2002

The London studies of school effectiveness in the 1970s provided evidence that the qualities of schools made a significant difference to pupil progress, after taking account of the characteristics and backgrounds of the pupils at the time of school entry. The purpose of this article is to review the further evidence that has accumulated since then in order to assess how far the findings have been confirmed or refuted, what new questions have arisen and what key challenges remain. The continuing areas of research and debate include school effects on behavioral outcomes, the effects of class size, the importance of parental involvement, the impact of intake mix, peer influences, and level of resources. There has been greater agreement on the many features fostering school effectiveness. However, questions remain on how to bring about desired changes. The paper concludes by drawing attention to 10 largely unanswered questions that matter for policy and practice.     

Review

Book reviewed in this article:
David Ray Griffin, Religion and Scientific Naturalism: Overcoming the Conflicts     

God and Evolutionary Evil: Theodicy in the Light of Darwinism

Pain, suffering, death, and extinction have been intrinsic to the process of evolution by natural selection. This leads to a real problem of evolutionary theodicy, little addressed up to now in Christian theologies of creation. The problem has ontological, teleological, and soteriological aspects. The recent literature contains efforts to dismiss, disregard, or reframe the problem. The radical proposal that God has no long–term goals for creation, but merely keeps company with its unfolding, is one way forward. An alternative strategy to tackle the problem of evolutionary theodicy is outlined, with an implication for environmental ethics and suggestions for further work.     

New Evolutionary Perspectives on Altruism: Multilevel-Selection and Costly-Signaling Theories

Social psychological theories tend to be primarily concerned with the immediate causes of altruism, whereas evolutionary explanations focus more on the origins and ultimate functions of altruistic behavior. Recent developments in the evolutionary psychology of altruism promise an even richer understanding of this important category of social behaviors. Specifically, new perspectives offered by multilevel-selection theory and costly-signaling theory may help to shed light on some of the more problematic issues in the study of altruism.     

A Biodata Inventory Administered via Interactive Voice Response (IVR) Technology: Predictive Validity, Utility, and Subgroup Differences

Although organizations are increasingly using interactive voice response (IVR) systems to help screen and select job applicants, few if any published studies have investigated the effectiveness of such systems. The current study responded to this need by evaluating a biodata inventory administered via IVR technology. A predictive validity study revealed that both a 42-item biodata measure and a more parsimonious 6-item composite correlated with supervisor ratings of performance and did not result in adverse impact or differential prediction. In addition, a utility analysis indicated that both IVR biodata measures would likely result in considerable financial gains to the hiring organization. The implications of these results for selection research and practice are discussed.     

The capacity to be an analyst: A contribution from attachment research to the study of candidate selection

In this paper the author discusses how the study of candidate selection, once a topic of vibrant research, has unfortunately languished. Certain qualities were thought to characterize the successful candidate. However, they were never successfully operationalized nor empirically tested. Possibly because of this lack of empirical data, selectors today have difficulty articulating their criteria and are relying on intuition. In order to provide a more rational basis for contemporary selection, the author looks to the attachment literature. This makes sense because attachment theory shares some basic assumptions of contemporary psychoanalysis. The Adult Attachment Interview (AAI) is a research tool that predicts the ability of a parent to convey attachment security. It is scored by attending to how a person speaks about his early attachment experiences. The AAI appears to tap into similar qualities to those selection researchers have sought in their candidates. Further, the scoring method of the AAI appears to be similar to the last attempt by selection researchers to operationalize them. Given these similarities, the author recommends an empirical study using the AAI to operationalize these qualities in analytic candidates. The study would test their importance for success in the training program, thus offering selectors some empirical grounding for their choices.     

Validity of Stimulus and Response Components in a Video Test of Social Competence

Various stimulus components (video, orally-presented questions) and response components (multiple-choice, written, orally-given replies) of situational judgement tests of occupational social competency were investigated as to their impact upon the validity for a behavior-oriented role playing criterion while keeping test content constant. The stimulus component video alone had no impact upon validity. The response components contributed to validity. Validity increased with improved fidelity of response components. Concerning stimulus-response-combinations, the validity of two video tests (r = 0.17 and r = 0.36) was not higher than the validity of similar oral questioning (r = 0.13 and r = 0.37) but was significantly lower than a situational interview (r = 0.59). Response fidelity proved to be a bottleneck regarding validity of video tests. As a result, it is recommended that, in order to maximize validity of video and multimedia efforts, the developers of video- and multimedia tests focus special attention on response fidelity.     

Book Reviews

Schabracq, Marc J., Winnibst, Jacques A.M. and Cooper, Cary L., Handbook of Work and Health Psychology Bandura, Albert, Self-efficacy: the exercise of control Wiggins, Jerry S. The Five-Factor Model of Personality. Theoretical Perspectives Arredondo, Patricia, Successful diversity management initiatives: a blueprint for planning and implementation     

Bayesian Factor Analysis as a Variable-Selection Problem: Alternative Priors and Consequences

Factor analysis is a popular statistical technique for multivariate data analysis. Developments in the structural equation modeling framework have enabled the use of hybrid confirmatory/exploratory approaches in which factor-loading structures can be explored relatively flexibly within a confirmatory factor analysis (CFA) framework. Recently, Muthén & Asparouhov proposed a Bayesian structural equation modeling (BSEM) approach to explore the presence of cross loadings in CFA models. We show that the issue of determining factor-loading patterns may be formulated as a Bayesian variable selection problem in which Muthén and Asparouhov's approach can be regarded as a BSEM approach with ridge regression prior (BSEM-RP). We propose another Bayesian approach, denoted herein as the Bayesian structural equation modeling with spike-and-slab prior (BSEM-SSP), which serves as a one-stage alternative to the BSEM-RP. We review the theoretical advantages and disadvantages of both approaches and compare their empirical performance relative to two modification indices-based approaches and exploratory factor analysis with target rotation. A teacher stress scale data set is used to demonstrate our approach.