This research aims to examine current practices in gifted and talented educator professional learning, as well as teacher attitudes, beliefs, and experiences towards gifted education in order to explore opportunities to further develop and improve professional learning structures. Through a qualitative methodology following the constructivist-interpretivist paradigm, this research utilizes a phenomenological interview design in which data from educator interviews are examined through thematic analysis. To support and further extrapolate on the feedback from the interviews, this research also includes a document analysis of the published descriptions of 30-hour educator training required for those providing GT services in the state of Texas. The thematic analysis of interviews identified three major themes and two minor themes after engaging in a deep analysis of the interview transcriptions. These major themes are the (1) utility of professional learning, (2) shared control of learning, and (3) understanding the whole student. Minor themes are (i) long-term career growth and (ii) role of professional support networks and connections. Results of the document analysis illustrate that the most frequent descriptions are associated with the abilities participants will take from the learning. Within this descriptive code, most of the language focused on learner competence, while few of the descriptions …

This study focuses on investigating the dynamics of language brokering as Korean immigrant families experience environmental challenges associated with immigration. This study was conducted with qualitative research design with purposive sampling of Korean immigrant families. Six parent-child dyads were recruited and participating children were between 12 to 16 years old. Semi-structured interviews were conducted separately with parents and children in either English or Korean. Thematic analysis was employed for analyzing the transcribed interviews. The Dedoose software program was applied to assist the coding process. 12 subthemes were revealed under four main themes, which were aligned to the study's research questions. The twelve subthemes included parents' dependence on children, vulnerability and resilience of Korean immigrant families, children's socioemotional development through language brokering, and the role of first-born daughter in the family. Parent and child responses indicated how language brokering affects can be a risk in relation to children's development (i.e., with responsibility of language brokering leading the child to experience stress or experience the responsibility of translation as a burden. Positively, respondents indicated that the parent and child experienced a greater sense of empathy for each other's roles. The results derived from this study were aligned with the results of previous …

The present study provides an example of implementing the difference in differences (DD) estimator for a two-group, pretest-posttest design with K-12 educational intervention data. The goal is to explore the basis for causal inference via Rubin's potential outcomes framework. The DD method is introduced to educational researchers, as it is seldom implemented in educational research. DD analytic methods' mathematical formulae and assumptions are explored to understand the opportunity and the challenges of using the DD estimator for causal inference in educational research. For this example, the teacher intervention effect is estimated with multi-cohort student outcome data. First, the DD method is used to detect the average treatment effect (ATE) with linear regression as a baseline model. Second, the analysis is repeated using linear regression with cluster robust standard errors. Finally, a linear mixed effects analysis is provided with a random intercept model. Resulting standard errors, parameter estimates, and inferential statistics are compared among these three analyses to explore the best holistic analytic method for this context.

Previous research has tested the lasso method for DIF detection in dichotomous items, but limited research is available on this technique for polytomous items. This simulation study compares the lasso method to hybrid ordinal logistic regression to test performance in terms of TP and FP rates when considering sample size, test length, number of response categories, group balance, DIF proportion, and DIF magnitude. Results showed better Type I error control with the lasso, with smaller sample sizes, unbalanced groups, and weak DIF. The lasso also exhibited more stable Type I error control when DIF was weak, and groups were unbalanced. Lastly, low DIF proportion contributed to better Type I error control and higher TP rates with both methods.

Limited research exists regarding the experiences and perspectives of parents of highly and profoundly gifted children. The purpose of this qualitative study was to investigate the experiences and perspectives of parents of highly and profoundly gifted children in developmental and cultural contexts. Semi-structured interviews were followed by thematic analysis regarding parental efficacy and parents' perceived support in parenting and educational communities to provide rich insights and to illuminate the voices of parents. In seeking academic and/or social emotional support, parents join groups designed to connect parents with experts in the field of gifted education and parent advocates of gifted children. A purposive sample was selected from parents who are members of networks and organizations serving profoundly gifted students. A self-report survey was distributed to parents enrolled in networks and/or organizations serving gifted students and parents of gifted students (e.g., SENG, Davidson Institute). Participant interviews were transcribed and qualitatively analyzed using thematic analysis. A qualitative descriptive analysis identified areas in which parents of highly and profoundly gifted children express the need for support within developmental and cultural contexts. Implications from the study aim to bring attention to the lived experiences of these parents to inform educators, counselors, and communities of parents' …

Early college entrance programs have existed in the United States since the 1950s, but in-depth research on academic success in these programs is lacking. Every year, early college entrance programs utilize a variety of data-gathering and candidate-screening techniques to select hundreds of students for admission into these accelerated programs. However, only a smattering of research articles has discussed the factors that predict academic success in these programs. This exploratory study investigated commonly-relied-upon admissions data points—such as high school GPA and ACT scores—and demographic information—such as sex, ethnicity, and locality—to see if any of these factors predicted academic success: namely, graduation and early college entrance program GPA. Secondary data from nearly 800 students admitted over an 11-year period to a state-supported, residential early college entrance program located at a large Southern university in the United States were utilized for this study. Logistic regression failed to yield a model that could accurately predict whether or not a student would graduate from the program. Multiple regression models showed that high school GPA and ACT scores were predictive of performance, and that factors like locality and ethnicity can have predictive power as well. However, the low variance in performance explained by the variables included …

The age-cutoff regression discontinuity design (RDD) has emerged as one of the most rigorous quasi-experimental approaches to determining program effects of prekindergarten on literacy and numeracy outcomes for children at kindergarten entry. However, few pre-K meta-analyses have focused attention on validity threats. The current random-effects meta-regression tests the moderating effects of prominent threats to validity, selection bias and sensitivity, on impact estimates generated from age-cutoff regression discontinuity studies from large-scale programs. Results from averaging dependent standardized mean difference effects suggested small positive moderating effects of total attrition and robust 3-month bandwidths on reading effects, but not on math. However, these results were not statistically significant. In contrast, results generated from robust variance estimation yielded a small statistically significant association between total attrition and math effects. These mixed results may warrant further research on prekindergarten evaluation methodology, evaluation estimation methods, and the totality of evidence used to inform policy.

This duo of meta-analyses explored relationships between creativity and sleep quality [Study 1], and creativity and dream recall [Study 2]. Studies on these topics noted personality influences in both creativity and sleep quality, as well as dream recall. Studies also identified potential connections between creativity, sleep, and dreaming by investigating the stage of sleep from which creative thinking could emerge. Twenty studies were eligible to code and analyze in Study 1 and 16 in Study 2. Analyses using two-level multivariate analyses showed a small and positive correlation between creativity and sleep (r = .147, 95% CI = [0.033, 0.257]), p = .012 [Study 1] as well as creativity and dream recall (r = 0.173, 95% CI = [0.089, 0.257]), p = .001) [Study 2]. Both Study 1 and Study 2 tested moderator variables via a meta-regression. Moderators were identified based on the nature of assessments used, sample characteristics, and study characteristics. Study 1 results indicated that the relationship between sleep and creativity was higher when creativity test modality was verbal than figural. Study 2 also found that test modality was a significant moderator, and conversely, the relationship was larger when creativity was measured by figural tests compared to the verbal …