Researchers have reported that a variety of socio-cultural interventions can be used to increase positive attitudes toward reading for secondary students. A socially constructed reading intervention could add learning growth for a reluctant reading population. This study examines whether secondary students experience a measurable increase in positive attitudes toward reading after engaging in modeling and mentoring sessions with a much younger student and whether there is a perceivable difference in the secondary students' attitude following this mentoring activity. A variation of the one-way ANOVA, the Mann-Whitney U test, was completed to determine whether there was a statistically significant difference between these groups of students after participating in the reading intervention plan. It was determined that a small increase was found in one of the domains. The measurement survey is divided into four measured components that align with Albert Bandura's model for self- efficacy. The results from this study indicated growth in only one of the measures, however, some of the outcomes in the other measures suggested potential growth in attitudes with a relaxation of these necessary experimental strictures. A limitation of this research was the change from face-to-face tutoring completed by the secondary student with elementary students in an afterschool …

In order to determine which interventions work best for which students, precision education researchers have examined aptitude-treatment interactions (ATI) or skill-by-treatment interactions (STI) by using multiple regression analysis. In recent years, technological innovation and greater accessibility to more advanced statistical techniques have allowed researchers to examine ATI or STI using longitudinal mixed modeling. Probing techniques for interaction effects like slopes difference tests fit well with an ATI or STI framework, but the power of using a slopes difference test in longitudinal mixed models is unknown. The current study used the simulation method to determine which factors influence the power of a slopes difference test in a longitudinal mixed model. Specifically, the study examined design conditions such as number of waves, number of clusters and participants per cluster, effect size, intraclass correlation, variances and covariance of the random effects, and proportion of treatment to non-treatment participants. These were examined in order to help ATI and STI researchers understand whether the slopes difference test in a longitudinal mixed model is sufficiently powered for their sample and study. Effect size, number of waves, number of clusters, and participants per cluster were found to be strong determinants of power and significantly impacted model convergence …

This study explores students' and their families' experiences during the pandemic response to COVID-19 by the higher education community. Using the hermeneutic phenomenological approach, we employed two open-ended surveys and semi-structured interviews of 16 parent-college student dyads (N = 34). The study draws on students' and parents' retrospective accounts beginning Spring 2020 through the Fall 2020 semesters. Families experienced a disruptive event initialized by the ebb and flow of information. Students' experiences varied based on their expectations and academic classification. The most consistent family challenges were the displacement of students and parents from their physical education and work locations while having to maintain student and occupation responsibilities. The educational experience was inconsistent and dependent on each professors' capacity to engage the students in the online environment. Students expressed feelings of loss of their student and educational experiences, but most students felt the spring courses prepared them to continue their education. Assignments due at random times and poor communication about expectations inhibit students from having dedicated time to interact and make memories. Most families adapted to the new normal by supporting the family members' identities as students and employees and ensuring everyone had the resource needed to succeed. Families experienced monotony …

Multiple criteria systems are recommended as best practice to identify culturally, linguistically, economically diverse students for gifted services, in which schools often incorporate measures of creativity. However, the role of creativity in identification systems and its recruitment of diverse student populations is unclear. The Torrance Test of Creative Thinking (TTCT) is the most widely used norm-referenced creativity test in gifted identification. Although commonly used for identifying talent, little is known on the variability in composite scores on the TTCT-Figural and student demographics (i.e., race/ethnicity, sex, socioeconomic status, English language learning status). This study evaluated student demographic subgroup differences that exist after the initial phase of an identification process (i.e., universal screening, referrals) and examined the relationship among student demographics (i.e., race/ethnicity, free/reduced lunch status, English language learning status, sex), cognitive ability, academic achievement, and creativity, as measured by the TTCT-Figural Form A or B, to the probability of being identified for gifted programs. In a midsized school district in the state of Texas, findings indicate several demographic differences for students who were referred or universally screened across the measures of cognitive ability, academic achievement, and creativity. However, there were lower differences when using the TTCT-Figural. Results of a hierarchical generalized …

Half of the students who begin college do not complete a degree or certificate. The odds of completing a degree are decreased if a student has a low socio-economic status (SES), is the first in a family to attend college (first-generation), attends multiple institutions, stops out multiple times, reduces credit loads over time, performs poorly in major-specific coursework, has competing family obligations, and experiences financial difficulties. Stopping out of college does not always indicate that a student is no longer interested in pursuing an education; it can be an indication of a barrier or several barriers faced. Institutions can benefit themselves and students by utilizing person-centered statistical methods to re-engage students they have lost, particularly those near the end of their degree plan. Using demographic, academic, and financial variables, this study applied latent class analysis (LCA) to explore subgroups of seniors who have stopped out of a public four-year Tier One research intuition before graduating with a four-year degree. The findings indicated a six-class model was the best fitting model. Similar to previous research, academic and financial variables were key determinants of the latent classes. This paper demonstrates how the results of an LCA can assist institutions in the decisions …