The present study is a quantitative investigation of clients' (N = 390) perceptions of their counselors' cognitive complexity (CC) as measured by the Counselor CC (3C)-Client Perceptions Scale. Results indicate a significant relationship between perceived CC and client satisfaction. Participants' perceptions that counselors understood their…

Using a longitudinal national educational dataset, data science methods were applied to explain students' educational trajectories and determine the most predictive variables in STEM degree attainment. Challenging the notion of the STEM pipeline, an Alternative Pathways to STEM (APS) model was proposed. Using a foundation of Social Cognitive…

When individuals are released from prison, they typically enter a period of post confinement community supervision. While under community supervision, their behaviors are subject to special conditions requiring them to report to supervisors and prohibiting certain behaviors such as drug and alcohol use. Many supervisees are returned to prison…

The success of students is closely tied to their well-being and those students with high degrees of well-being are more likely to excel in academic environments. Accordingly, the internal and external factors that cause positive changes in students' mental states and lead them to higher levels of psychological well-being (PWB) need to be divulged.…

Regression discontinuity (RD) designs are increasingly used for causal evaluations. However, the literature contains little guidance for conducting a moderation analysis within an RDD context. The current article focuses on moderation with a single binary variable. A simulation study compares: (1) different bandwidth selectors and (2) local…

In the traditional teaching mode, it is difficult for teachers to have a comprehensive understanding of each student's study, and it is also hard for them to provide targeted guidance and assistance. With the development of data collection and analysis technology, schools and educational institutions can make better use of big data technology to…

Understanding classroom-level correlates of preschool children's aggressive behavior is critical to identifying multiple avenues for intervention within schools. The present school-based study evaluated the reliability and validity of a classroom-level measure of physical and relational aggression and examined a social-ecological model to test…

Understanding how resilience evolves across the lifespan is crucial for the development of targeted interventions and strategies aimed at promoting resilience. This study aims to investigate the complex interplay between resilience, positive personality traits, and hope in emerging adults. The criterion sampling method was employed to select…

Despite the increasing need for creativity in rapidly evolving markets and work environments, not all employees are able to engage in this crucial behavior at work. The interactionist perspective suggests that creativity in organizations can be predicted by the interplay of individual and situational elements. With this theoretical framework, the…

Autistic individuals are twice as likely to meet criteria for anxiety than neurotypical children; yet we lack understanding of early presentations of anxiety in young autistic children, especially those with cognitive impairment. This study is the first to utilize an autism-specific anxiety diagnostic interview with 28 preschool cognitively…

Creativity researchers are increasingly interested in understanding when, how, and for whom creativity can be beneficial. Previous reviews have demonstrated that creativity research largely ignores the study of its impact on factors that promote health, and well-being among populations of adults. It is unclear, in fact, whether this gap in…

Background: Furnham and Hughes (2014) previously reported that a sample of adults was only able to recognize 37% of 249 myths based on those presented in Lilienfeld et al.'s (2009) Great Myths of Popular Psychology. Objective: We sought to replicate these findings and to investigate predictors (e.g., education, cognitive ability, and personality)…

In Savalei's (2011) simulation that evaluated the performance of polychoric correlation estimates in small samples, two methods for treating zero-frequency cells, adding 0.5 (ADD) and doing nothing (NONE), were compared. Savalei tentatively suggested using ADD for binary data and NONE for data with three or more categories. Yet, Savalei's…

It is important for prospective elementary school teachers to know their epistemic beliefs because this is related to beliefs about how to teach in schools and how learning should be done, which are called pedagogical beliefs. This study aims to investigate whether epistemic beliefs can predict the pedagogical beliefs of prospective elementary…

Children's fuzziness leads to increased variance in the data, data loss, and high dropout rates in developmental studies. This study investigated the importance of 20 factors on the person (child, caregiver, experimenter) and situation (task, method, time, and date) level for the data quality as indicated via the number of valid trials in 11…