Self-coded indirect memory associations and

Indirect memory associations for substance use predict both the concurrent and prospective levels of substance use. These methods assess spontaneous, possibly implicit, and easily accessible associations that predict substance use over direct (explicit) methods of assessment (e.g., outcome expectancies). The present study tested and expanded the application of a coding method for alcohol and marijuana associations on the basis of self-coding of indirect responses (Frigon & Krank, 2009). College students generated free associates to (1) ambiguous words (e.g., draft or weed), (2) situations (e.g., at a party, hanging out with friends), and (3) emotions (having fun, feeling dreamy). Later, participants were shown their responses and were asked to code their responses according to both nonrisk and risk activities, such as alcohol and marijuana use. Self-coded scores were higher than researcher-coded scores, captured the same variance, and improved the prediction of substance use. Self-coding of indirect memory associations provides accurate and efficient prediction of the level of alcohol and marijuana. Self-coding is efficient and may be useful for reducing ambiguities in coding of many different kinds of open-ended responses.     

Predicting preference for items during periods of extended access based on early response allocation

Top‐ranked items were identified during 30‐min free‐operant preference assessments for 9 individuals. Data from each session were analyzed to identify the item (a) that was engaged with first in each session and (b) to which the most responding was allocated after 5 min, 10 min, 15 min, 20 min, and 25 min had elapsed in each session. The results indicated that the first‐engaged item and the 5‐min high‐allocation item predicted the top‐ranked item in 55% and 62% of the sessions, respectively. The results also showed that engagement with the top‐ranked item from the first session decreased across subsequent sessions for 6 of the 9 participants. The implications of the results for brief versus extended stimulus preference assessments are discussed.     

Some algebraic properties of the Reticular Action Model for moment structures

A number of models for the analysis of moment structures, such as LISREL, have recently been shown to be capable of being given a particularly simple and economical representation, in terms of the Reticular Action Model (RAM). In contrast to previous treatments, a formal algebraic treatment is provided which shows that RAM directly incorporates many common structural models, including models describing the structure of means. It is also shown here that RAM treats coefficient matrices with patterned inverses simply and generally.     

How (Fast) Can I Help You? Tone of Voice and Telephone Operator Efficiency in Interactions1

This study examined how tone of voice related to directory assistance operators' s]peed at handling customer calls. Brief (5-s) audio exerpts of telephone operator conversation were presented to judges who rated these on 5 personality dimensions and 5 vocal qualities. When these measures were correlated with a key measure of job performance, namely call duration, results showed that operators who were faster at handling calls were rated as significantly more enthusiastic, sympathetic, confident, professional, and friendly (average r= -.56). The voices of faster operators were also rated as significantly more changing (vs. monotonous) and as containing clearer (vs. slurred) pronunciation. Results are discussed in terms of the role that tone of voice plays in telephone operator-customer interaction, and telephone interactions more generally.