A heuristic method for the comparison of related structures

By extending a technique for testing the difference between two dependent correlations developed by Wolfe, a strategy is proposed in a more general matrix context for evaluating a variety of data analysis schemes that are supposed to clarify the structure underlying a set of proximity measures. In the applications considered, a data analysis scheme is assumed to reconstruct in matrix form the given data set (represented as a proximity matrix) based on some specific model or procedure. Thus, an evaluation of the adequacy of reconstruction can be developed by comparing matrices, one containing the original proximities and the second containing the reconstructed values. Possible applications in multidimensional scaling, clustering, and related contexts are emphasized using four broad categories: (a) Given two different reconstructions based on a single data set, does either represent the data significantly better than the other? (b) Given two reconstructions based on a single data set using two different procedures (or possibly, two distinct data sets and a common method), is either reconstruction significantly closer to a particular theoretical structure that is assumed to underlie the data (where the latter is also represented in matrix form)? (c) Given two theoretical structures and one reconstruction based on a single data set, does either represent the reconstruction better than the other? (d) Given a single reconstruction based on one data set, is the information present in the data accounted for satisfactorily by the reconstruction? In all cases, these tasks can be approached by a nonparametric procedure that assesses the similarity in pattern between two appropriately defined matrices. The latter are obtained from the original data, the reconstructions, and/or the theoretical structures. Finally, two numerical examples are given to illustrate the more general discussion.     

A set-theoretical approach to the problem of hierarchical clustering

A set-theoretical formalization is developed for the problem of generating hierarchically organized collections of subsets, or to use a phrase common in the applied substantive literature, for the problem of hierarchical clustering. A number of terms are introduced to characterize those clustering methods that attempt to limit the size of the overlap between each pair of subsets constructed at a specific “compactness” level. Several examples, motivated primarily by graph theory, are discussed briefly to illustrate the various set-theoretical concepts presented.     

The comparison and fitting of given classification schemes

A permutation procedure is described for statistically comparing a given classification scheme, characterized as a hierarchically organized collection of subsets, to either a proximity matrix or a second classification scheme defined on the same basic set of objects. To prevent a bias that may result when an optimization method is used to construct the classification structures being considered, it is assumed that the desired comparisons involve classifications and/or proximities that have been derived from separate sources. In addition to an extensive number of examples used to clarify the major points in the presentation of the inference strategy, several heuristic optimization techniques are also introduced and illustrated. These latter procedures attempt to “fit” the form of a target classification structure by relabeling the rows and simultaneously the columns of a given proximity matrix to maximize the correspondence between the fixed target and the relabeled proximity matrix.     

The Port-Royal semantics of terms

Conclusion It is tempting to say from the contemporary point of view that thePort-Royal Logic is full of confusions as well as insights. I have focused on several of these confusions and their relations, in particular the confusions between complex idea and proposition, between proposition and judgment, and especially between name and predicate. In particular I have tried to emphasize the instability of the Port-Royal semantics — the ways in which their theory of terms vacillates between earlier views and something closer to a modern analysis. It may, however, be more profitable to regard this work as incorporating several logics, and to view the confusions as the inevitable results of the dynamical tensions among these different views.     

The person as co-investigator in self-research: Valuation theory

Recent developments in self-research show the self to be increasingly conceived as an organized and highly dynamic phenomenon. In combination with the arguments presented in the preceding article, these developments are a good reason for adopting a method in which the psychologist and the subject work together in the study of the self: The self-confrontation method and the theory on which it is based—valuation theory—are presented as an example of such an approach. This method construes the self as an organized process of valuations, a valuation being any unit of meaning that the person finds of importance in thinking about his or her life. Formulated in the language of the person him- or herself; these valuations and how they develop over time are considered in a dialogue between the psychologist and the subject. For the purposes of demonstration, two phenomena that are not easily observedare discussed here: (a) the existence of an imaginal figure not visibly present but functioning as a signifcant other in the person's daily life, and (b) the presence of a character in a recurring dream, which later gets included as an integral part of the self: Finally, the present approach is briefly discussed as representing a constructivist view of personality psychology.     

The Relation of Candidate Personality With Selection-Interview Outcomes

Two studies examined the relation of personality on the interview process. Study 1 was designed to examine these behaviors and characteristics in a lab sctting. while Study 2 examined similar variables in a field setting. Study 1 demonstrated that Type A achievemetit strivings, extraversion, work locus of control. neuroticism. and trait anxiety were related to interview outcomes in simulated employment interviews. Study 2 examined the relation of personality characteristics to outcomes of actual interviews conducted by college recruiters. Type A achievement striving, work locus of control. and trait anxiety were found to be related to interviewer decision outcomes.     

Work Alienation as an Individual‐Difference Construct for Predicting Workplace Adjustment: A Test in Two Samples1

This study represents the first attempt to examine the validity of work alienation as a general attitude toward the work domain. As hypothesized, hierarchical regression analyses of data from 2 employee samples (n= 99 and n= 250) indicated that work alienation explained incremental variance in selected workplace adjustment variables (i. e., job involvement, affective organizational commitment, affective occupational commitment, overall job satisfaction, and volitional absence) beyond the variance accounted for by work conscientiousness (i. e., dependability and achievement orientation) and by variables used to control for sources of self‐report variance (i. e., self‐deception and negative affectivity). These results support the legitimacy of work alienation as an individual‐difference construct associated with work‐related adjustment.     

Becoming team players: team members' mastery of teamwork knowledge as a predictor of team task proficiency and observed teamwork effectiveness

The authors explored the idea that teams consisting of members who, on average, demonstrate greater mastery of relevant teamwork knowledge will demonstrate greater task proficiency and observed teamwork effectiveness. In particular, the authors posited that team members' mastery of designated teamwork knowledge predicts better team task proficiency and higher observer ratings of effective teamwork, even while controlling for team task proficiency. The authors investigated these hypotheses by developing a structural model and testing it with field data from 92 teams (1,158 team members) in a United States Air Force officer development program focusing on a transportable set of teamwork competencies. The authors obtained proficiency scores on 3 different types of team tasks as well as ratings of effective teamwork from observers. The empirical model supported the authors' hypotheses.     

Relationship between duration of HIV disease and diagnostic history

The duration of being infected with HIV, i.e., chronicity, is a unique factor that can affect coping and psychological outcomes. In a secondary data analysis, 50 HIV-positive adults between 30 and 57 years were administered the Centers for Epidemiological Studies-Depression scale, the UCLA Loneliness Scale-Revised, and the HIV Stigma Scale, along with questions about their diagnostic history. Analysis indicated that those diagnosed longer with HIV reported ruminating less on the events leading up to their diagnosis (r=-.36), reported less trauma by their diagnosis initially (r=-.31), and reported fewer depressive symptoms (r=-.30). Implications for addressing chronicity in research are posited.