Long-term retention of a theatrical script by repertory actors: the role of context.

Four actors were requested to perform Sartre's No Exit after a retention interval of more than 5 months. Their recall of the play was studied either with the spatial and visual contextual cues normally available during a performance or without such cues. Total recall was still considerable, equalling 85%. The number of paraphrases of, and inferences on, the original text was however quite large (32%), suggesting that the actors had learned their lines according to their meaning rather than as a result of rote memorisation. The context manipulation showed that actors' recall is facilitated by the availability of spatial-visual information, but only to a limited extent. The relative importance of textual and contextual cues in the long-term retention of a play is discussed.     

An alternative multi‐language structure for personality attributes

A scientific taxonomy of human personality attributes should optimally be based on studies from multiple languages and cultures. Study 1 demonstrates convergence between seven‐factor structures found in previous studies of Filipino and Hebrew languages. Study 2 shows that this ‘Multi‐Language Seven’ (ML7) factor model overlaps partially with the Big Five model, but includes four rather than three affective–interpersonal factors, replicates in American English lexical data nearly as well as the Big Five, and has close correspondences to the structure upon which two Italian lexical studies have converged. Correlates were used to clarify interpretation of ML7 factors labelled Gregariousness, Self‐Assurance, Even Temper ‘versus Temperamentalness’, Concern for Others, Conscientiousness, Originality/Virtuosity, and Negative Valence ‘or Social Unacceptability’. These studies indicate the viability of a lexically derived ‘etic’ alternative to the Big Five. Copyright © 2003 John Wiley & Sons, Ltd.     

Perceptions of Training-Related Factors and Personal Variables as Predictors of Transfer Implementation Intentions

A number of factors influence the outcomes of computer skills training and the likelihood of successful transfer. The first empirical test of a conceptual model of training transfer sought to explain how trainees' perceptions of various in-training transfer-enhancing activities such as overlearning, fidelity, stimulus variability, principles-meaningfulness, self-management activities, relapse prevention, and goal setting would predict the self-efficacy and implementation intentions (rather than actual transfer outcomes) of computer skills trainees. As expected, posttraining self-efficacy and transfer enhancing activities both predicted transfer implementation intentions. Pretraining self-efficacy also significantly predicted posttraining self-efficacy, trainees' level of learning during training and transfer enhancing activities, providing support for the conceptual model of training transfer.     

Social networks and partner stress as predictors of adherence to medication, rehabilitation attendance, and quality of life following acute coronary syndrome.

OBJECTIVE: This study examined whether social network size and partner stress predicted medication adherence, cardiac rehabilitation attendance, and quality of life 12 months following hospitalization for an acute coronary syndrome (ACS). DESIGN: ACS patients (N = 193, M age = 60.6 years, SD = 11.4 years, 23% female) were recruited shortly following admission to 4 local hospitals. A prospective design was employed with follow-up data collected 12 months following hospital admission. MAIN OUTCOME MEASURES: Data were gathered on social network size and partner stress. The main outcomes assessed at 12 months were medication adherence, cardiac rehabilitation attendance, and quality of life (Short Form 36). RESULTS: Partner stress predicted medication nonadherence, odds ratio: 2.89, (95% CI = 1.21, 6.95). ACS patients with large social networks were more likely to attend rehabilitation, odds ratio: 3.42, (95% CI = 1.42, 8.25). Analyses were adjusted for age, gender, clinical risk scores, readmission/recurrence, and negative affectivity. Both partner stress and smaller social network size were associated with poorer quality of life. CONCLUSION: Social network size and partner stress may partly exert their influence on coronary heart disease morbidity and mortality through recovery behaviors and maintenance of quality of life.     

SSRAT: The processing of rating scales for the determination of two-dimensional sociometric status

SSRAT is an MS-DOS computer program for two-dimensional sociometric status determination with rating scales. It classifies members of a population into five sociometric status groups, using 3-, 5-, 7-, or 9-point ratings in matrices of assessors and assessed. The processing of rating scales instead of nominations offers several advantages, including increased variability and reliability of the resulting scores. SSRAT is built on the null hypothesis of conditional random attribution of ratings, according to the particular probability distribution of an assessor. Output is available in the form of an ASCII SPSS data file for further statistical processing. Recent studies show that SSRAT, in comparison with nomination methods, (1) is superior in determining popular persons while it detects rejected persons as well, and (2) probably yields classifications that have a higher temporal stability.     

Determining the degree of inconsistency in a set of paired comparisons

Consistency in paired comparison data is defined. Two types of inconsistency which may arise are defined. Computational formulas for these types of inconsistency are derived, and examples illustrating the use of these formulas are presented.These ideas were developed while the first author was on the staff of the Research Center for Human Relations. The work was made possible by the ONR contract NONR 285(10). The authors are indebted to Jack Moshman for his helpful critical suggestions. The United States Government is authorized to reprint this article in whole or in part.