Acquiring writing revision and self-regulatory skill through observation and emulation.

The influences of modeling and social feedback on the acquisition of writing revision were studied with 72 college students. Students watching a coping female model gradually improving her writing technique on a sentence-combining task were hypothesized to surpass students observing a mastery model perform the technique flawlessly on a writing-skill measure and an array of self-regulatory measures, such as self-satisfaction reactions, self-efficacy perceptions, and intrinsic interest in the task. Students observing a mastery model were expected, in turn, to surpass those learning without the benefit of modeling on these same measures. Support for both hypotheses was found. Social feedback during enactive performance assisted learners from all modeling groups in acquiring writing and self-regulatory skills. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Capillary array electrophoresis-MALDI mass spectrometry using a vacuum deposition interface.

We previously introduced a vacuum deposition interface for matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI/TOF MS) on a moving surface (e.g., quartz wheel, Mylar tape, metal target). In our present work, the approach has been extended to demonstrate parallel analysis for multiple on-line infusion MALDI MS and capillary array electrophoresis (CAE)-MALDI MS. In the infusion mode, individual peptide samples were simultaneously deposited on a Mylar tape cartridge using an array of eight capillaries, yielding eight parallel traces. For CAE-MALDI/TOF MS, the same number of separation capillaries were coupled with an array of eight infusion capillaries using a common liquid junction, containing matrix solution. A fast-scanning mirror was employed to traverse the beam of the desorption laser across the Mylar tape to probe one trace at a time. The positions of the eight sample traces formed on the tape were automatically determined, and all samples were analyzed in rapid sequence using a kilohertz repetition rate laser and a high-throughput data acquisition system. The instrumentation was operated with CAE MS for high-throughput analysis without compromising data quality. The principles of parallel separation-vacuum deposition should be generally applicable to MALDI/TOF MS analysis for proteomics and other areas where separation and high throughput are required.     

The nuclear freeze resolution: A question of empowerment.

The American Psychological Association has done little to empower the nuclear freeze resolution (NFR) adopted in 1982. The general debate on the issues of advocacy, competency, and ethics should be suspended so that the issues associated specifically with the NFR can be resolved. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Protecting the integrity of Rorschach expert witnesses: A reply to Grove and Barden (1999) re: The admissibility of testimony under Daubert/Kumho analyses.

The Rorschach Comprehensive System has been considered by W. M. Grove and R. C. Barden (1999) as inadmissible for expert psychological testimony according to the guidelines from the Daubert (1993), Joiner (1997), and Kumho (1999) decisions. This article refutes W. M. Grove and R. C. Barden's conclusions, arguing that the Rorschach Comprehensive System is (a) testable, (b) valid and reliable, (c) extensively peer reviewed, (d) associated with a reasonable error rate, (e) standardized, (f) accepted by a relevant and substantial scientific community, and (g) appropriate for a wide range of forensic issues. In drawing their negative conclusions, W. A Grove and R. C. Barden overlooked or minimized a substantial body of empirical data supporting the reliability and validity of the Rorschach Comprehensive System and misinterpreted the language and intent of the Supreme Court decisions. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Impact of self-presentations on private self-beliefs: Effects of prior self-beliefs and misattribution.

Self-presentations are more likely to be internalized when they can be justified as representative of self. As predicted, when the behavior fell in their latitude of acceptance rather than rejection, Ss with strong prior self-beliefs (defined by self-perceived behavioral variability on the trait dimension) took greater responsibility for their self-perceptions, viewed them as more justifiable, and changed their later self-appraisals more. In contrast, Ss with weak prior self-beliefs were more influenced by extreme self-presentations (in the latitude of rejection) and viewed their behavior as equally justifiable irrespective of the latitude in which it fell. It was also found that negative arousal plays a role in guiding people's reactions to out-of-character behavior. These findings have implications for conceptualizations of the self-concept (e.g., as stable vs. unstable) and the relation between the private and public sides of self. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The stability of long action chains in XCS

 XCS [1, 2] represents a new form of learning classifier system [3] that uses accuracy as a means of guiding fitness for selection within a Genetic Algorithm. The combination of accuracy-based selection and a dynamic niche-based deletion mechanism achieve a long sought-after goal–the reliable production, maintenance, and proliferation of the sub-population of optimally general accurate classifiers that map the problem domain [4]. Wilson [2] and Lanzi [5, 6] have demonstrated the applicability of XCS to the identification of the optimal action-chain leading to the optimum trade-off between reward distance and magnitude. However, Lanzi [6] also demonstrated that XCS has difficulty in finding an optimal solution to the long action-chain environment Woods-14 [7]. Whilst these findings have shed some light on the ability of XCS to form long action-chains, they have not provided a systematic and, above all, controlled investigation of the limits of XCS learning within multiple-step environments. In this investigation a set of confounding variables in such problems are identified. These are controlled using carefully constructed FSW environments [8, 9] of increasing length. Whilst investigations demonstrate that XCS is able to establish the optimal sub-population [O] [4] when generalisation is not used, it is shown that the introduction of generalisation introduces low bounds on the length of action-chains that can be identified and chosen between to find the optimal pathway. Where these bounds are reached a form of over-generalisation caused by the formation of dominant classifiers can occur. This form is further investigated and the Domination Hypothesis introduced to explain its formation and preservation.