Using computer conferencing to formulate a computer simulation of transitive behavior

The activities of a group engaged in simulation modeling via computer conferencing are described, and the model which resulted from those activities is briefly outlined. The phenomena which were modeled were initially described in a series of studies by Trabasso and his colleagues. These studies centered upon exhibition of transitive choices by children and adults, and supported the hypothesis that the choices were guided by formation of “linear arrays“ of the choice objects.     

“Doing Good” versus “Being Good”: The interplay between pride appeals and regulatory-focused messages in green advertising

Many consumers feel proud of making green choices, which is of crucial relevance to explaining environmentally responsible behaviors. However, compared to other self-conscious emotions, such as guilt and shame, little research attention has been paid to the role of pride in green consumerism. Through conducting two online experimental surveys, this research examined what features of a message induce the two facets of the emotion pride—authentic and hubristic—and how pride appeals interact with message frames having different regulatory foci. In Study 1, participants revealed more favorable eco-friendly attitudes and intentions when hubristic pride appeals were combined with promotion-focused messages (detailing the positive benefits of using the green product), and when authentic pride appeals were matched with prevention-focused messages (emphasizing the negative consequences averted by using the green product). Study 2 replicated and supported the proposed matching hypotheses while including a control condition. Findings of this research will add to a growing body of literature on pride as a discrete emotion and its carryover effects on persuasion while providing guidelines to help practitioners design green advertising campaigns.     

Idiographic network analysis of discrete mood states prior to treatment

Idiographic network models based on time‐series data have received recent attention for their ability to model relationships among symptoms and behaviours as they unfold in time within a single individual (cf. Epskamp, Borsboom, & Fried, 2018; Fisher, Medaglia, & Jeronimus, 2018). Rather than examine the correlational relationships between variables in a sample of individuals, an idiographic network examines correlations within a single person, averaged over many time points. Because the approach averages over time, the data must be stationary (i.e. relatively consistent over time). If individuals experience varying states over time—different mixtures of symptoms and behaviours in one moment or another—then averaging over categorically different moments may undermine model accuracy. Fisher and Bosley (2019) address these concerns via the application of Gaussian finite mixture modelling to identify latent classes of time points in intraindividual time‐series data from a sample of adults with major depressive disorder and/or generalised anxiety disorder (n = 45). The present paper outlines an extension of this work, wherein network analysis is used to model within‐class covariation of symptoms. To illustrate this approach, network models were constructed for each intraindividual class identified by Fisher and Bosley (137 networks across the 45 participants, mean classes/person = ~3, range = 2–4 classes/person). We examine the relative consistency in symptom organisation between each individual's multiple mood state networks and assess emergent group‐level patterns. We highlight opportunities for enhanced treatment personalisation and review nomothetic patterns relevant to transdiagnostic conceptualisations of psychopathology. We address opportunities for integrating this approach into clinical practice and outline potential shortcomings.     

We Agree: Fat IS a Feminist Issue! Response to Commentators

In our review of the literature on women and weight bias (Fikkan and Rothblum 2011), we attempted to cull findings from multiple disciplines that demonstrate the impact (social, educational, and financial) of the stigma of women’s weight. We undertook this for two purposes: the first was to address a gap in the weight bias literature, which tends to make only a side note mention that fat women suffer worse penalties than do fat men; the second, to raise the point that feminist scholars, though highly attuned to pressures on women to be thin, have spent less time discussing the disparate impact for women of being fat, despite the mounting evidence of how much weight bias impacts women. We offered some of our own thoughts on the persisting neglect of this topic among feminist writers, despite previous calls to action (Rothblum 1992, 1994). Given the dearth of attention to what has become one of the most frequent types of discrimination against women (Puhl et al. 2008), we asked: “is fat a feminist issue?” We were delighted with the response from the commentators and the thoughtful exploration they devoted to our question and to this issue within feminist scholarship. Here, we briefly summarize some of the main themes identified by these writers, offer our own thoughts on these themes and repeat their call to action for further study of this important area of women’s lives.