Potential Benefits of Communication in Transactive Memory Systems

Transactive memory theory views communication as a valuable (but not perfect) tool for learning, storing, and retrieving information from other people. In this essay, we review research on transactive memory systems and elaborate on the role of communication in the development and use of such systems. In contrast to Pavitt (2003), we believe that communication can, under some conditions, facilitate the development of an effective group memory system.     

A new goodness-of-fit measure for probit models: Surrogate R2

Probit models are used extensively for inferential purposes in the social sciences as discrete data are prevalent in a vast body of social studies. Among many accompanying model inference problems, a critical question remains unsettled: how to develop a goodness-of-fit measure that resembles the ordinary least square (OLS) R² used for linear models. Such a measure has long been sought to achieve ‘comparability’ of different empirical models across multiple samples addressing similar social questions. To this end, we propose a novel R² measure for probit models using the notion of surrogacy – simulating a continuous variable $S$ as a surrogate of the original discrete response (Liu & Zhang, Journal of the American Statistical Association, 113, 845 and 2018). The proposed R² is the proportion of the variance of the surrogate response explained by explanatory variables through a linear model, and we call it a surrogate R². This paper shows both theoretically and numerically that the surrogate R² approximates the OLS R² based on the latent continuous variable, preserves the interpretation of explained variation, and maintains monotonicity between nested models. As no other pseudo R², McKelvey and Zavoina's and McFadden's included, can meet all the three criteria simultaneously, our measure fills this crucial void in probit model inference.     

Tailored interventions for motivating smoking cessation: using placebo tailoring to examine the influence of expectancies and personalization.

The present study examined mechanisms underlying the effectiveness of tailored interventions for motivating smoking cessation. The study used a placebo-tailoring design to test whether the efficacy of tailoring was due, in part, to personalized features in addition to the theoretically based content. Two hundred forty adult smokers were randomized to 1 of 3 conditions: standard booklet, minimally personalized booklet, or extensively personalized booklet. The interventions varied in their degree of ostensible tailoring, yet the actual smoking-related content of the booklets was identical. A dose-response relationship was hypothesized, with the greatest apparent tailoring producing the most positive outcomes. This pattern was found for evaluation of the booklets, with trends for readiness to change and self-efficacy increases. Moreover, as hypothesized, the effect of the interventions on readiness was moderated by participants' expectancies about tailoring.     

Effects of Interpersonal Goals on Inadvertent Intrapersonal Influence in Computer‐Mediated Communication

This research explores a sequence of effects pertaining to the influence of relational goals on online information seeking, the use of information and arguments as relational management strategies in computer‐mediated chat, and the intrapersonal attitude change resulting from these processes. Affinity versus disaffinity goals affected participants' information seeking for communicatory utility ( Atkin, 1972 ), their conversational behaviors, and their own attitudes toward the topic and partner. People with negative relational goals used the Web to seek information for discussions more than affinity‐goal participants. Individuals expressed affinity‐disaffinity through arguments, agreements, and disagreements with partners' preferences, which led to changes in their own attitudes. Findings suggest renewed consideration of the interplay between mass media and interpersonal sources accessible on the Internet.     

Reliable change in neuropsychological test scores is associated with brain atrophy in older adults

The reliable change index (RCI) is a commonly used method for interpreting change in neuropsychological test scores over time. However, the RCI is a psychometric method that, to date, has not been validated against neuroanatomical changes. Longitudinal neuroimaging and neuropsychological data from baseline and one-year follow-up visits were retrieved from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. The RCI was used to identify participants showing reliable decline on memory (ADNI-Mem; N = 450) and executive functioning (ADNI-EF; N = 456) factor scores. For each factor score, two groups (reliable change vs. no reliable change) were matched on potential baseline confounding variables. Longitudinal neuroanatomical data were analysed using tensor-based morphometry. Analysis revealed that reliable change on ADNI-Mem was associated with atrophy in the medial temporal cortex, limbic cortex, temporal lobe and some regions of the parietal lobe. Similar atrophy patterns were found for reliable change on ADNI-EF, except that atrophy extended to the frontal lobe and the atrophy was more extensive and of higher magnitude. The current study not only validates clinical usage of the RCI with neuroanatomical evidence of associated underlying brain change but also suggests patterns of likely brain atrophy when reliable cognitive decline is detected.