Correction to: Classroom goal structures and communication style: the role of teacher immediacy and relevance-making in students’ perceptions of the classroom”

Social Psychology of Education - A correction to this paper has been published: https://doi.org/10.1007/s11218-021-09628-9     

How Religion Predicts Pet Ownership in the United States

Over 60 percent of Americans have some sort of family pet. Although studies have explored the personality and demographic correlates of pet ownership, none have considered whether religious characteristics may influence not only pet ownership, but the kind of pet Americans own. Drawing on data from the 2018 General Social Survey, we examine the religious antecedents of pet ownership in general as well as owning a cat or a dog, taking into account factors previously associated with owning certain pets (e.g., urban vs. rural residence, political affiliation). Although religious tradition and biblical literalism generally do not predict pet ownership, frequent worship attendees and the most conservative evangelicals report owning fewer pets. Religious characteristics also predict Americans’ ownership of particular pets. Most notably, we find a strong, negative association between worship attendance and cat ownership. We theorize potential mechanisms. On the one hand, certain personality types might simultaneously attract some Americans toward religious participation and away from pets, and cats in particular. Alternatively, to the extent that pet ownership is a partial substitute for human bonding and interaction, Americans more deeply embedded within a religious community may have less need (or time) for pets generally, and specifically more independent “roommate pets,” like cats.     

The Relationship between Emotional Intelligence and Domain-Specific and Domain-General Creativity

The Amusement Park Theory of Creativity, which represents both domain-specific and domain-general perspectives of creativity, calls for more research on how individual difference constructs are related to creativity at all ends of the domain-specificity and general spectrum. Toward this goal, this study examined emotional intelligence (using the Emotional Intelligence Scale) in relationship with both a domain-general measure (the Abbreviated Torrance Test for Adults) and a domain-specific measure (Kaufman Domains of Creativity Scale) in a sample of 281 Chinese undergraduates. Although emotional intelligence demonstrated no relationship with divergent thinking, it did positively predict all five domains of creativity on the self-report measure (ranging from .52 to .77). These findings add to the nuanced relationship between emotional intelligence and creativity and serve as a call for more work of this nature.     

A comprehensive measure of attitudes and behaviour: Development of the Support for Gender Equality among Men Scale

In this article, we develop and validate the 16-item Support for Gender Equality among Men Scale across four studies. Drawing on exploratory (Study 1, n = 322) and confirmatory (Study 2, n = 358; Study 4, n = 192) factor analysis, we determine a two-factor structure: public and domestic support for gender equality. In Study 3 (n = 146) and Study 4, we validate the scale by establishing its relationship with, among others, several prominent measures of sexism, a behavioural measure, and social desirability. The scale fills a psychometric gap in the literature: To date, no validated measure of support for gender equality, measuring both attitudes and behavioural intentions and focusing specifically on men, exists. Considering the recent increase in interest in men as allies of the feminist movement the scale functions as a useful tool to explore the topic in depth in future research.     

Racialized Sexual Discrimination (RSD) in the Age of Online Sexual Networking: Are Young Black Gay/Bisexual Men (YBGBM) at Elevated Risk for Adverse Psychological Health?

Young Black gay/bisexual men (YBGBM) are a highly marginalized population across multiple health outcomes. Most research on YBGBM health has focused on HIV/sexual health, but there is a demonstrable need for research examining racism and psychosocial functioning among this population. Racialized Sexual Discrimination (RSD), also known as sexual racism, is an important but under-investigated phenomenon that may have implications for the psychological health and well-being of YBGBM. This paper provides an overview of empirical research on RSD as experienced by gay/bisexual men of color in online partner-seeking venues. First, the researchers discuss how racialized experiences are a documented online phenomenon, with a variety of manifestations, and identify the potential effects that this phenomenon may have on the psychosocial health of YBGBM, and gay/bisexual men of color as a whole. Second, the researchers synthesize the RSD literature with a broader literature examining psychological well-being across race and sexual orientation. Third, the researchers present a theoretically grounded conceptual model detailing the pathways between RSD and psychological well-being using a stress and coping framework. The paper concludes with recommendations for future research on this topic, including scale development and hypothesis testing.     

Therapeutic response to Cognitive Processing Therapy in White and Black female veterans with military sexual trauma-related PTSD

Cognitive Processing Therapy (CPT) is an evidence-based treatment (EBT) for posttraumatic stress disorder (PTSD) which has been validated for female veterans with military-related PTSD. Existing trials have enrolled predominantly White veterans with some studies documenting higher rates of early termination from EBTs among Black females when compared to White females. Data from a previously published randomized clinical trial were used to evaluate the effectiveness of CPT for Black female veterans with military sexual trauma (MST)-related PTSD. Reductions in PTSD symptom severity, number of sessions attended, and early termination rates were compared between Black (n = 20) and White (n = 16) female veterans. A hierarchical linear modeling approach was used, with PTSD symptom severity over the course of treatment and follow-up entered as a level-1 variable and race (Black or White) entered as a level-2 predictor. Piecewise growth curves analyses revealed that both Black and White female veterans experienced significant reductions in PTSD symptom severity over the course of treatment and gains were maintained up to 6 months post-treatment. Race was not found to be a significant predictor of change in the slope of PTSD symptom severity over the course of CPT treatment. Additionally, number of sessions attended and rates of early termination did not significantly differ based on race. Results suggest that CPT was a well-tolerated and effective psychotherapeutic treatment for this sample regardless of racial self-identification.     

The Latent Change Score Model: A More Flexible Approach to Modeling Time in Self-Regulated Learning

Purpose

This research advances understanding of empirical time modeling techniques in self-regulated learning research. We intuitively explain several such methods by situating their use in the extant literature. Further, we note key statistical and inferential assumptions of each method while making clear the inferential consequences of inattention to such assumptions.

Design/Methodology/Approach

Using a population model derived from a recent large-scale review of the training and work learning literature, we employ a Monte Carlo simulation fitting six variations of linear mixed models, seven variations of latent common factor models, and a single latent change score model to 1500 simulated datasets.

Findings

The latent change score model outperformed all six of the linear mixed models and all seven of the latent common factor models with respect to (1) estimation precision of the average learner improvement, (2) correctly rejecting a false null hypothesis about such average improvement, and (3) correctly failing to reject true null hypothesis about between-learner differences (i.e., random slopes) in average improvement.

Implications

The latent change score model is a more flexible method of modeling time in self-regulated learning research, particularly for learner processes consistent with twenty-first-century workplaces. Consequently, defaulting to linear mixed or latent common factor modeling methods may have adverse inferential consequences for better understanding self-regulated learning in twenty-first-century work.

Originality/Value

Ours is the first study to critically, rigorously, and empirically evaluate self-regulated learning modeling methods and to provide a more flexible alternative consistent with modern self-regulated learning knowledge.