Development and psychometric evaluation of the Personal Growth Initiative Scale-II

The original Personal Growth Initiative Scale (PGIS; Robitschek, 1998) was unidimensional, despite theory identifying multiple components (e.g., cognition and behavior) of personal growth initiative (PGI). The present research developed a multidimensional measure of the complex process of PGI, while retaining the brief and psychometrically sound properties of the original scale. Study 1 focused on scale development, including theoretical derivation of items, assessing factor structure, reducing number of items, and refining the scale length using samples of college students. Study 2 consisted of confirmatory factor analysis with 3 independent samples of college students and community members. Lastly, Study 3 assessed test-retest reliability over 1-, 2-, 4-, and 6-week periods and tests of concurrent and discriminant validity using samples of college students. The final measure, the Personal Growth Initiative Scale-II (PGIS-II), includes 4 subscales: Readiness for Change, Planfulness, Using Resources, and Intentional Behavior. These studies provide exploratory and confirmatory evidence for the 4-factor structure, strong internal consistency for the subscales and overall score across samples, acceptable temporal stability at all assessed intervals, and concurrent and discriminant validity of the PGIS-II. Future directions for research and clinical practice are discussed.     

Seeing wrath from the top (through stratified lenses): Perceivers high in social dominance orientation show superior anger identification for high-status individuals

In this research, we test the hypothesis that social status will be an orienting cue to the identification of facial expressions of emotion, particularly angry expressions, especially for those who dispositionally believe that some societal groups should dominate others (Social dominance orientation; Pratto, Sidanius, Stallworth, & Malle, 1994). Using an emotion identification task, the expression of anger was identified with greater accuracy on high-status faces than low-status faces, but only for people who endorsed rigid social hierarchies (i.e., high SDO). Furthermore, people who did not endorse social hierarchies (i.e., low SDO) did not show a preference for high-status anger. Thus, the current findings provide a novel account of how social status can be an informative cue to the expression of anger in online perceptions, especially for those who view social dominance as an important framework for society.     

Parallel Factor Analysis of gait waveform data: A multimode extension of Principal Component Analysis

Gait data are typically collected in multivariate form, so some multivariate analysis is often used to understand interrelationships between observed data. Principal Component Analysis (PCA), a data reduction technique for correlated multivariate data, has been widely applied by gait analysts to investigate patterns of association in gait waveform data (e.g., interrelationships between joint angle waveforms from different subjects and/or joints). Despite its widespread use in gait analysis, PCA is for two-mode data, whereas gait data are often collected in higher-mode form. In this paper, we present the benefits of analyzing gait data via Parallel Factor Analysis (Parafac), which is a component analysis model designed for three- or higher-mode data. Using three-mode joint angle waveform data (subjects×time×joints), we demonstrate Parafac's ability to (a) determine interpretable components revealing the primary interrelationships between lower-limb joints in healthy gait and (b) identify interpretable components revealing the fundamental differences between normal and perturbed subjects' gait patterns across multiple joints. Our results offer evidence of the complex interconnections that exist between lower-limb joints and limb segments in both normal and abnormal gaits, confirming the need for the simultaneous analysis of multi-joint gait waveform data (especially when studying perturbed gait patterns).     

Repair Avoidance: When Faithful Informational Exchanges Don't Matter That Much

Common-sense intuition suggests that, when people are engaged in informational exchanges, they communicate so as to be reasonably sure that they perform the exchanges faithfully. Over the years, we have found evidence suggesting that this intuition, which is woven into several influential theories of human communication, may be misleading. We first summarize this evidence and discuss its potential limitations. Then, we present a new study that addresses the potential limitations. A confederate instructed participants to “pick up the skask” from a tray containing six objects and move it to a specific location. Since skask is a non-word invented by us, participants had to ask for clarification to perform the instruction faithfully. In contradiction with the intuition that people pursue faithfulness when engaged in informational exchanges, 29 of the 48 participants we tested performed the instruction without asking for clarification. We identified a possible cause for this behavior, which occurred more frequently when avoiding the clarification was unlikely to result in an overt consequence (an error in the execution of the instruction that could be noticed by the confederate or the experimenter). Other factors such as individual differences and the specific interpersonal dynamics of the experimental settings, if they played a role at all, did it to an extent that is unlikely to be comparable to that of the role played by overt consequences. Considered together, our various assessments of the extent to which people engage in faithful informational exchanges converge on a simple conclusion: Communicating faithfully is a substantially demanding task, and people often fail at it. We discuss the implications of this conclusion and speculate on its relevance for understanding the evolutionary past of human communication.