Job Performance as Multivariate Dynamic Criteria: Experience Sampling and Multiway Component Analysis

Questions about the dynamic processes that drive behavior at work have been the focus of increasing attention in recent years. Models describing behavior at work and research on momentary behavior indicate that substantial variation exists within individuals. This article examines the rationale behind this body of work and explores a method of analyzing momentary work behavior using experience sampling methods. The article also examines a previously unused set of methods for analyzing data produced by experience sampling. These methods are known collectively as multiway component analysis. Two archetypal techniques of multimode factor analysis, the Parallel factor analysis and the Tucker3 models, are used to analyze data from Miner, Glomb, and Hulin's (2010) experience sampling study of work behavior. The efficacy of these techniques for analyzing experience sampling data is discussed as are the substantive multimode component models obtained.     

Explanation of Two Anomalous Results in Statistical Mediation Analysis

Previous studies of different methods of testing mediation models have consistently found two anomalous results. The first result is elevated Type I error rates for the bias-corrected and accelerated bias-corrected bootstrap tests not found in nonresampling tests or in resampling tests that did not include a bias correction. This is of special concern as the bias-corrected bootstrap is often recommended and used due to its higher statistical power compared with other tests. The second result is statistical power reaching an asymptote far below 1.0 and in some conditions even declining slightly as the size of the relationship between X and M, a, increased. Two computer simulations were conducted to examine these findings in greater detail. Results from the first simulation found that the increased Type I error rates for the bias-corrected and accelerated bias-corrected bootstrap are a function of an interaction between the size of the individual paths making up the mediated effect and the sample size, such that elevated Type I error rates occur when the sample size is small and the effect size of the nonzero path is medium or larger. Results from the second simulation found that stagnation and decreases in statistical power as a function of the effect size of the a path occurred primarily when the path between M and Y, b, was small. Two empirical mediation examples are provided using data from a steroid prevention and health promotion program aimed at high school football players (Athletes Training and Learning to Avoid Steroids; Goldberg et al., 1996), one to illustrate a possible Type I error for the bias-corrected bootstrap test and a second to illustrate a loss in power related to the size of a. Implications of these findings are discussed.     

Strategies for learning proper names: expanding retrieval practice,meaning and imagery

Name learning strategies including retrieval practice, semantic associations and imagery were compared in laboratory‐based and real‐life experiments. Experiments 1 and 2 studied expanding retrieval practice and a semantic association strategy as memory improvement techniques for learning proper names. Participants either retrieved or restudied names on the same, expanding schedule. After a short, filled interval, cued recall of names was about 250% better following retrieval than restudy and 200% better with than without semantic associations. Together, the techniques improved recall by 300–400%. In Experiment 3, retrieval practice was compared with an imagery mnemonic for name learning under real‐life social conditions: Participants sought to learn the names of people they met at a party. Retrieval practice produced 50% higher recall after 24–72 hours but the imagery mnemonic was no more effective than non‐directed instructions to learn names. Copyright © 2005 John Wiley & Sons, Ltd.     

Realism Despite Cognitive Antireductionism

Building on previous work, I continue the arguments for scientific realism in the presence of a natural level structure of science. That structure results from a cognitive antireductionism that calls for the retention of mature theories even though they have been “superseded”. The level structure is based on “scientific truth” characterized by a theory's validity domain and the confirming empirical data. Reductionism (including fundamentalism) fails cognitively because of qualitative differences in the ontology and semantics of successive theories. This cognitive failure exists in spite of the mathematical success of theory reduction. The claim for scientific realism is strongly based on theory coherence between theories on adjacent levels. Level coherence consists of mathematical relations between levels, as well as of reductive explanations. The latter refers to questions that can be posed (but not answered) on a superseded level, but which can be answered (explained) on the superseding level. In view of the pluralism generated by cognitive antireductionism, theory coherence is claimed to be so compelling that it provides strong epistemic justification for a pluralistic scientific realism.     

The Evolution of the Moral Sentiments and the Metaphysics of Morals

So-called evolutionary error theorists, such as Michael Ruse and Richard Joyce, have argued that naturalistic accounts of the moral sentiments lead us to adopt an error theory approach to morality. Roughly, the argument is that an appreciation of the etiology of those sentiments undermines any reason to think that they track moral truth and, furthermore, undermines any reason to think that moral truth actually exists. I argue that this approach offers us a false dichotomy between error theory and some form of moral realism. While accepting the presuppositions of the evolutionary error theorist, I argue that contract-based approaches to morality can be sensitive to those presuppositions while still vindicating morality. Invoking Stephen Darwall’s distinction between contractualism and contractarianism, I go on to offer an evolutionary-based contractarianism.     

Psychoanalytische Überlegungen zur Pädophilie

Following the long psychoanalytic tradition in the treatment of paedophiles, in a first step this article tries to define structural components of sexual delinquency that on the one hand correlate with the psychoanalytic model of psychic structures and on the other hand are consistent with the clinical experience of forensic psychotherapeutic practice. In a second step different levels of severity in the structural psychopathology of sexual delinquents are described by taking advantage of the object relationship theoretical conception of personality organisation. Finally, in a third step the psychodynamic features of these patients are highlighted, which have frequently been found and described in the clinical psychoanalytic literature on paedophilia including traumatising mother relationship, narcissistic object choice, inadequate triangulation, self-permuting drive, simulation and disturbance of identification.     

Scoring Situational Judgment Tests: Once You Get the Data,Your Troubles Begin

Although situational judgment tests (SJTs) have been in use for decades, consensus has not been reached on the best way to score these assessments or others (e.g., biodata) whose items do not have a single demonstrably correct answer. The purpose of this paper is to review and to demonstrate the scoring strategies that have been described in the literature. Implementation and relative merits of these strategies are described. Then, several of these methods are applied to create 11 different keys for a video‐based SJT in order to demonstrate how to evaluate the quality of keys. Implications of scoring SJTs for theory and practice are discussed.