Sex and developmental differences by complexity of functions of occupational aspirations of school children across ten years

The present longitudinal study examined the complexity of workers' functions for 65 children's occupational aspirations during a 10-yr. span beginning when the children were 7 yr. old and in Grade 2. Every two years through the senior year in high school, the children were interviewed, for a total of six interviews. Sex and developmental differences in occupational aspirations were examined with respect to the focus on Data, People, or Things. Girls (n=31) selected occupational aspirations requiring greater complexity in People functions throughout the study. From G;rades 2 to 8 boys chose occupations with greater complexity of Things and girls chose occupations with greater complexity of Data. Developmentally, all children chose increasingly more complex Data occupations from Grades 2 to 12. Occupational aspirations in high school showed a decrease in the complexity of workers' functions involving People and Things. These observations would be expected from social cognitive theory and the 1981 career development theory of Gottfredson.     

Children's,adolescents’, and adults’ judgments and reasoning about different methods of teaching values

This study investigated children's, adolescents’, and young adults’ judgments and reasoning about teaching two values (racial equality and patriotism) using methods that varied in provision for children's rational autonomy, active involvement, and choice. Ninety-six participants (7–8-, 10–11-, and 13–14-year-olds, and college students) evaluated four methods of teaching values in schools (Inculcation, Direct Teaching, Behavioral, and Discussion) for agents of two ages (3rd and 8th grade students), and in two contexts (student- vs. teacher-implemented methods). Older participants were more likely than younger participants (7–8-year-olds) to distinguish value education methods that stimulated children's rational thought processes and active involvement, and to coordinate factors such as the age of agents and the context of implementation in their judgments and reasoning.     

A COMPARISON OF A DISADVANTAGED SAMPLE WITH A NATIONAL SAMPLE ON THE GATB

The GATB is widely used in making vocational decisions. The norms are based on a national sample tested in 1952. In the study reported here the GATB results of a sample of disadvantaged individuals were compared to the results of the 1952 sample. Significant differences were obtained for five variables: name comparison, computation, vocabulary, tool matching, and arithmetic reasoning. In each case the scores of the national sample were higher. The differences occurred on variables of an academic nature, although mean education was approximately the same in both samples. Some reasons for the differences are suggested in this article.     

Mainland Chinese and Canadian adolescents’ judgments and reasoning about the fairness of democratic and other forms of government

This study examined the judgments and reasoning of adolescents (ages 12–19 years) from three sites in urban and rural China (n = 270) and in an urban Canadian comparison sample (n = 72), about the fairness of various forms of democratic and non-democratic government. Adolescents from both China and Canada preferred democratic forms of government, such as representative or direct democracy, to non-democratic systems, such as a meritocracy and an oligarchy of the wealthy, at all ages. Adolescents appealed to fundamental democratic principles, such as representation, voice, and majority rule, to justify their judgments. Similar age-related patterns in judgments and reasoning were found across cultures and across diverse settings within China.     

The Special Sign Indeterminacy of the Direct-Fitting Parafac2 Model: Some Implications, Cautions, and Recommendations for Simultaneous Component Analysis

Parafac2 is the most flexible Simultaneous Component Analysis (SCA) model that produces an essentially unique solution. In this paper, we discuss how Parafac2’s special sign indeterminacy affects applications of SCA, and we reveal how an external criterion variable can be used to ensure that estimated Parafac2 weights are meaningfully signed across the levels of the nesting mode. We present an example with real data from clinical psychology that illustrates the importance of Parafac2’s special sign indeterminacy, as well as the effectiveness of our proposed solution. We also discuss the implications of our results for general applications of SCA.     

Vagueness as closeness

This paper presents and defends a definition of vagueness, compares it favourably with alternative definitions, and draws out some consequences of accepting this definition for the project of offering a substantive theory of vagueness. The definition is roughly this: a predicate ‘F’ is vague just in case for any objects a and b, if a and b are very close in respects relevant to the possession of F, then ‘Fa’ and ‘Fb’ are very close in respect of truth. The definition is extended to cover vagueness of many-place predicates, of properties and relations, and of objects. Some of the most important advantages of the definition are that it captures the intuitions which motivate the thought that vague predicates are tolerant, without leading to contradiction, and that it yields a clear understanding of the relationships between higher-order vagueness, sorites susceptibility, blurred boundaries, and borderline cases. The most notable consequence of the definition is that the correct theory of vagueness must countenance degrees of truth.     

Parallel Factor Analysis of gait waveform data: A multimode extension of Principal Component Analysis

Gait data are typically collected in multivariate form, so some multivariate analysis is often used to understand interrelationships between observed data. Principal Component Analysis (PCA), a data reduction technique for correlated multivariate data, has been widely applied by gait analysts to investigate patterns of association in gait waveform data (e.g., interrelationships between joint angle waveforms from different subjects and/or joints). Despite its widespread use in gait analysis, PCA is for two-mode data, whereas gait data are often collected in higher-mode form. In this paper, we present the benefits of analyzing gait data via Parallel Factor Analysis (Parafac), which is a component analysis model designed for three- or higher-mode data. Using three-mode joint angle waveform data (subjects×time×joints), we demonstrate Parafac's ability to (a) determine interpretable components revealing the primary interrelationships between lower-limb joints in healthy gait and (b) identify interpretable components revealing the fundamental differences between normal and perturbed subjects' gait patterns across multiple joints. Our results offer evidence of the complex interconnections that exist between lower-limb joints and limb segments in both normal and abnormal gaits, confirming the need for the simultaneous analysis of multi-joint gait waveform data (especially when studying perturbed gait patterns).