Is a kantian Musical Formalism Possible?

In this article, I consider whether a suitably stripped‐down version of Kant's aesthetic theory could nevertheless provide philosophical foundations for musical formalism. I begin by distinguishing between formalism as a view about the nature of music and formalism as an approach to music criticism, arguing that Kant's aesthetics only rules out the former. Then, using an example from the work of musicologist and composer Edward T. Cone, I isolate the characteristics of formalist music criticism. With this characterization in mind, I conclude by showing that even if Kant's aesthetic theory is reduced to its most fundamental claims, the logic of formalist music criticism precludes its practice within even a kantian perspective.     

Influences in the Decision‐Making Process for Careers As a Speech‐Language Pathologist or an Audiologist

This study consisted of data obtained from 297 surveys about career decision‐making influences for students and professionals in speech‐language pathology and audiology. Decision‐making factors were similar across both professions, with personal factors being the most influential. Employment and education factors were also critical in making professional decisions. Early course work played a significant role in the career paths of people in these professions.     

Varieties of Spiritual Experience in Support of Recovery From Cocaine Dependence

A case study is presented that examines 3 spiritual experiences, each of which played a critical role in a client's recovery from cocaine dependence. These experiences, categorized as subtle, synchronistic, and sudden, are described. The effect of the client's disclosures on the therapist's practice of counseling is also discussed.     

The effect of interviewer guise upon gender self-report responses as a function of interviewee's self-monitoring position

Female high and low self-monitors were interviewed by a female experimenter who adopted either an androgynous or a feminine guise. An analysis of responses scored for femininity yielded a significant interaction between self-monitoring and interviewer guise which, when subjected to further analysis, revealed a significant simple effect for high self-monitors but not for low self-monitors. High self-monitors scored significantly higher on femininity when with the feminine guise interviewer, but lower when with the androgynous guise interviewer. © 1997 John Wiley & Sons, Ltd.     

Normative versus ipsative configural frequency analysis in personality research—their use discussed in a reanalysis of data on situation-bound anxiety

Configural frequency analysis (CFA) tests whether certain individual patterns in different variables are observed more frequently in a sample than expected by chance. In normative CFA, these patterns are derived from the subject's specific position in relation to sample characteristics such as the median or the mean. In ipsative CFA, patterns are defined within an individual reference system, e.g. relative to the subject's median of different variable scores. Normative CFA examines dimensionality of scales and is comparable to factor analysis in this respect. Ipsative CFA rather yields information about location of scores in different variables, in a similar way to ANOVA or Friedman testing. However, both normative and ipsative CFA may supply information not obtainable by means of the aforementioned methods. This is illustrated in a reanalysis of data in four scales of an anxiety inventory. © 1997 John Wiley & Sons, Ltd.     

Decomposition,Interdependence and Precision in Multiattribute Utility Measurements

Traditionally, parameters of multiattribute utility models, representing a decision maker's preference judgements, are treated deterministically. This may be unrealistic, because assessment of such parameters is potentially fraught with imprecisions and errors. We thus treat such parameters as stochastic and investigate how their associated imprecision/errors are propagated in an additive multiattribute utility function in terms of the aggregate variance. Both a no information and a rank order case regarding the attribute weights are considered, assuming a uniform distribution over the feasible region of attribute weights constrained by the respective information assumption. In general, as the number of attributes increases, the variance of the aggregate utility in both cases decreases and approaches the same limit, which depends only on the variances as well as the correlations among the single-attribute utilities. However, the marginal change in aggregate utility variance decreases rather rapidly and hence decomposition as a variance reduction mechanism is generally useful but becomes relatively ineffective if the number of attributes exceed about 10. Moreover, it was found that utilities which are positively correlated increase the aggregate utility variance, hence every effort should be made to avoid positive correlations between the single-attribute utilities. We also provide guidelines for determining under what condition and to what extent a decision maker should decompose to obtain an aggregate utility variance that is smaller than that of holistic assessments. Extensions of the current model and empirical research to support some of our behavioural assumptions are discussed. © 1997 John Wiley & Sons, Ltd.     

On the generalization of the G index of agreement, Go, for use with ordinal scores

Abstract.— Presents a G index generalization for items where each has a predetermined number of response alternatives on an ordinal level. Shows that G_o is equal to the G index based on another set of dichotomous data. The problem that items with many response levels will be given more weight than those with few response levels is pointed out. An alternative index, G _0e, which does not have such characteristics, is presented and also proves to be equal to the G index based on a set of equivalent dichotomies.     

Cognition and hearing aids

The perceptual information transmitted from a damaged cochlea to the brain is more poorly specified than information from an intact cochlea and requires more processing in working memory before language content can be decoded. In addition to making sounds audible, current hearing aids include several technologies that are intended to facilitate language understanding for persons with hearing impairment in challenging listening situations. These include directional microphones, noise reduction, and fast-acting amplitude compression systems. However, the processed signal itself may challenge listening to the extent that with specific types of technology, and in certain listening situations, individual differences in cognitive processing resources may determine listening success. Here, current and developing digital hearing aid signal processing schemes are reviewed in the light of individual working memory (WM) differences. It is argued that signal processing designed to improve speech understanding may have both positive and negative consequences, and that these may depend on individual WM capacity.