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' …

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.

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 …

Value-added models (VAMs) have become widely used in evaluating teacher accountability. The use of these models for high-stakes decisions making has been very controversial due to lack of consistency in classifying teachers as high performing or low performing. There is an abundance of research on the impact of various student level covariates on teacher value-added scores; however, less is known about the impact of teacher-level and school-level covariates. This study uses hierarchical linear modeling to examine the impact of including teacher characteristics, school characteristics, and student demographics aggregated at the school level on elementary mathematics and reading teacher value-added scores. Data for this study was collected from a large school district in north Texas. This study found that across all VAMs fitted, 32% of mathematics teachers and 37% of reading teachers changed quintile ranking for their value-added score at least once across all VAMs, while 55% and 65% of schools changed their quintile ranking of value-added scores based on mathematics and reading achievement, respectively. The results show that failing to control for aggregated student demographics has a large impact on both teacher level and school level value-added scores. Policymakers and administrators using VAM estimates in high-stakes decision-making should include teacher- …

This study examined the relationships between family structure (organization and control), family process (cohesion, expressiveness, and conflict) with parenting sense of competency (parenting efficacy) for mothers (n = 138) engaged in Home Instruction for Parents of Preschool Youngsters (HIPPY) related activities. Family structure in this study looked at how the family system is organized regarding clarity of family rules. In addition, family processes of the research participants looked at daily family routines and interactions. General parenting self-efficacy, task-specific self-efficacy for nurturance, and task-specific self-efficacy for teaching which are the dependent variables, looked at the degree to which parents feel competent and capable of solving problems related to these processes in the parent-child relationship. Research questions were answered using multivariate analysis of canonical correlational analysis (CCA) to examine the associations between the independent and dependent variables. Results showed significant relationship between family structure variables of control and organization and parents' self-report of their general efficacy and their task specific efficacy for teaching and nurturing. The study also showed an inverse relationship between process variable of conflict and overall self-efficacy of parents' and their task specific efficacy for teaching and nurturing.

Imagination and creative self-efficacy are important components of the creative process and outcomes but are rarely investigated together. To explore the relationship between personality factors, imaginative thinking, and creative self-efficacy, survey responses were gathered from university students in a southwestern region in the United States (n = 1,731). Personality was measured using the International Personality Item Pool (IPIP), imagination was measured using the Imaginative Capability Scale (ICS), and creative self-efficacy was measured using items based on reliability in previous studies. Participants were asked to complete the three surveys along with demographic information through an online format. Confirmatory factor analysis (CFA) was conducted first to confirm measurements used. After fit indices confirmed measurement models used, subsequent analyses were conducted using structural equation modeling (SEM). The model of best fit supported creative self-efficacy as a strong predictor of all three factors of imagination. Additionally, the model indicated a strong relationship between conscientiousness and conceiving imagination as well as other notable relationships with personality factors.

Growth mixture modeling (GMM) is a useful tool for examining both between- and within-persons change over time and uncovering unobserved heterogeneity in growth trajectories. Importantly, the correct extraction of latent classes and parameter recovery can be dependent upon the type of covariates used. Time-varying covariates (TVCs) can influence class membership but are scarcely included in GMMs as predictors. Other times, TVCs are incorrectly modeled as time-invariant covariates (TICs). Additionally, problematic results can occur with the use of maximum likelihood (ML) estimation in GMMs, including convergence issues and sub-optimal maxima. In such cases, Bayesian estimation may prove to be a useful solution. The present Monte Carlo simulation study aimed to assess class enumeration accuracy and parameter recovery of GMMs with a TVC, particularly when a TVC has been incorrectly specified as a TIC. Both ML estimation and Bayesian estimation were examined. Results indicated that class enumeration indices perform less favorably in the case of TVC misspecification, particularly absolute class enumeration indices. Additionally, in the case of TVC misspecification, parameter bias was found to be greater than the generally accepted cutoff of 10%, particularly for variance estimates. It is recommended that researchers continue to use a variety of class enumeration indices during …

Meta-analyses are conducted to synthesize the quantitative results of related studies. The random-effects meta-analysis model is based on the assumption that a distribution of true effects exists in the population. This distribution is often assumed to be normal with a mean and variance. The population variance, also called heterogeneity, can be estimated numerous ways. Accurate estimation of heterogeneity is necessary as a description of the distribution and for determining weights applied in the estimation of the summary effect when using inverse-variance weighting. To evaluate a wide range of estimators, we compared 16 estimators (Bayesian and non-Bayesian) of heterogeneity with regard to bias and mean square error over conditions based on reviews of educational and psychological meta-analyses. Three simulation conditions were varied: (a) sample size per meta-analysis, (b) true heterogeneity, and (c) sample size per effect size within each meta-analysis. Confidence or highest density intervals can be calculated for heterogeneity. The heterogeneity estimators that performed best over the widest range of conditions were paired with heterogeneity interval estimators. Interval estimators were evaluated based on coverage probability, interval width, and coverage of the estimated value. The combination of the Paule Manel estimator and Q-Profile interval method is recommended when synthesizing standardized mean …

Ordinal coefficient alpha is a newly derived non-parametric reliability estimate. As with any point estimate, ordinal coefficient alpha is merely an estimate of a population parameter and tends to vary from sample to sample. Researchers report the confidence interval to provide readers with the amount of precision obtained. Several methods with differing computational approaches exist for confidence interval estimation for alpha, including the Fisher, Feldt, Bonner, and Hakstian and Whalen (HW) techniques. Overall, coverage rates for the various methods were unacceptably low with the Fisher method as the highest performer at 62%. Because of the poor performance across all four confidence interval methods, a need exists to develop a method which works well for ordinal coefficient alpha.

Though research suggests that several factors are related to the onset of leadership, few researchers have endeavored to determine how these factors may interact to bring about early leadership development. A descriptive discriminant analysis was conducted to test the validity of early factors cited by Murphy and Johnson; namely, lower scores on measures of temperamental negative affect, higher scores of temperamental extraversion, effortful control, orienting sensitivity, authoritative parenting style, secure adult attachment, older relative age, and more reported team sports and extracurricular activities experiences were hypothesized to predict current and past leaders versus never leaders. Additional analyses investigated possible gender differences in how these early factors may predict leader occupancy. The results indicate that early factors are able to predict leadership status for male students, though a majority of the variance in leader status is still left unaccounted. Implications for future leadership development research and training are discussed.

Researchers and publishing guidelines recommend reporting confidence intervals (CIs) not just along with null hypothesis significance testing (NHST), but for many other statistics such as effect sizes and reliability coefficients. Although CI and standard errors (SEs) are closely related, examining standard errors alone in simulation studies is not adequate because we do not always know if a standard error is small enough. Overly small SEs may lead to increased probability of Type-I error and CIs with lower coverage rate than expected. Statistical simulation studies generally examine the magnitude of the empirical standard error, but it is not clear if they examine the properties of confidence intervals. The present study examines confidence interval investigating and reporting practices, particularly with respect to coverage and bias as diagnostics in published statistical simulation studies across eight psychology journals using a systematic literature review. Results from this review will inform editorial policies and hopefully encourage researchers to report CIs.

This study was intended to evaluate the impact of socioeconomically disadvantaged children's participation in the Texas Home Instruction for Parents of Preschool Youngsters (TX HIPPY) Program on their school readiness and academic achievement. The study used a quasi-experimental design and applied full and optimal propensity score matching (PSM) to address the evaluation concern of the impact of the TX HIPPY program on HIPPY participants' academic achievement compared to non-HIPPY participants. This evaluation targeted former HIPPY participants and tracked them in the Dallas ISD database through Grade Levels K-8. Data were obtained by administering Istation's Indicators of Progress (ISIP) for kindergarten, TerraNova/SUPERA for Grades K-2, and State of Texas Assessments of Academic Readiness for math and reading (STAAR) for Grades 3-8. HIPPY and non-HIPPY groups were matched using propensity score analysis procedures. The evaluation findings show that the TX HIPPY program positively influences kindergarten students to start school ready to learn. The findings of math and reading achievements suggest that HIPPY children scored at the same level or higher than non-HIPPY children did on math and reading achievement, indicating that TX HIPPY program has achieved its goal of helping children maintain long-term academic success. However, the evaluation findings also indicated that …

Co-teaching has been, and continues to be, a growing trend in American schools since the late 1990s. As the popularity of this service delivery model increases, there is an imperative need for empirical research focusing on how co-teaching affects academic outcomes of students who receive special education services. Evidence regarding the academic outcomes of co-teaching is limited, and reports mixed results. The purpose of this study is to provide a synthesis of research examining academic outcomes of co-teaching on students who receive special education services. Quantitative information from each research report was coded, an overall effect size was computed, and a moderator analysis was conducted. Results suggest a significant effect (g = .281, k = 32, p < .05) of co-teaching on the academic outcomes of students with disabilities when compared to students with disabilities who did not receive instruction in co-taught settings; though a larger effect was found among dissertation reports (g = .439, k = 25, p < .001). Additionally, a significant effect was found when examining the academic outcomes of students in co-teaching compared to the academic outcomes of students in a resource classroom setting (g = .435, k = 27, p < .001. Lastly, effects were …

One of the most persistent issues in contemporary organizations has been how to evaluate individual performance. Basically, the problem is who should evaluate whom and against what productivity criterion. Educational institutions have been the organizations most concerned with this dilemma in recent years. As recently as September, 1973, teachers went on strike over accountability procedures. This study was conducted to identify which mode of teacher evaluation was most efficient, based on fairly objective performance criterion, and to establish a basis for viewing teaching style as leadership style. In existing research, superior ratings were the most used evaluation measure, student ratings were a rapidly growing mode of evaluation, self-ratings were considered biased, and peer ratings were used very little. Hence, who should do the evaluating was an unsolved problem. All four evaluation modes were employed in the present study for comparison.

In recent years, the sport of women's ice hockey is growing fast worldwide. Upon winning the bid to host the 2022 Winter Olympics, women's ice hockey in China started to develop rapidly. However, the development of women's ice hockey in China has encountered numerous challenges. These challenges include addressing traditional Chinese culture, gender norms, and the process of sport reform. This study used a qualitative case study methodology to examine the perspectives of Chinese women ice hockey players, coaches, club administrators, government administrators, and the parents of youth hockey players to understand how women's ice hockey navigated itself within the institutional complexity to gain legitimacy, and how the different institutional logics impacted the identities of organizations within women's ice hockey in China. An abductive grounded theory approach was used to analyze the transcriptions and archived documents. Findings indicated that there were challenges for the development of women's ice hockey in China at macro level, meso level, and micro level. Actors such as hockey administrations, professional clubs, and ice hockey coaches and players at different levels adopted multiple forms of institutional work to find out ways to incorporate institutional structures that mitigated the fact that there were multiple logics. In addition, …

Rambo-Hernandez and McCoach's analysis into the longitudinal growth of high-achieving students offered two conclusions about the reading growth of high achieving students: high-achieving students lose less ground in reading during the summer, but they exhibit less growth over the school year. This study will seek to replicate the reading results of the Rambo-Hernandez and McCoach's study and include an analysis of mathematics growth with initially high-achieving, third grade students in both the school and summer months. Through a three-level hierarchical linear model covering 1541 third graders, this study analyzes the differences between the school year and summer growth rates of the high-achieving students against other students that scored above the mean on MAP assessments. Students identified as being in the top 10% nationally at the start of the third grade grew less over the course of the school year compared to their peers in both mathematics and reading but showed signs of accelerated growth at the end of the study.

The demand for a creative workforce has never been higher, yet schools struggle to teach and assess creativity among students predictably and efficiently. Compositions are an effective way to incorporate creativity across the curriculum; however, essays are time consuming for teachers to score for objective quality or subjective creativity. In this study, I explored a) if high creativity scores are related to high quality and sophistication in academic writing, and b) if extant text-mining tools effectively identify quality, sophistication, and creativity in academic essays. I collected 230 essays written by Grade 11 students. Four human-raters analyzed these essays for quality, sophistication, and creativity, and I used text-mining tools designed to assess creativity to analyze the same. Using correlations - including the variables semantic distance (measured against the GloVe corpus), entropy (measured with Shannon's Entropy Index), and idea density (measured with CPIDR5.1) - I assessed both human-raters' and text-mining tools' proficiency at identifying quality, sophistication, and creativity in academic essays. Quality, sophistication, and creativity were also regressed on these same text-mining variables to assess which method - human or computer – and which of the text-mining tools - best predicts these dependent variables. Human-raters' creativity scores correlated with human-raters' quality scores …

Predicated on the literature, parenting practices are subject to change following high-impact events. This understandably applies to the COVID-19 pandemic, a calamity of sheer magnitude. Despite the presence of maladaptive parenting behaviors in the pandemic, upsides (e.g., compassionate parenting practices, strengthened child-parent bond) did transpire as well. The present study is focused on whether and how parental betterment occurred and unfolded during the pandemic. The explicit research goal is to elucidate what positive parental responses and changes were and what drove those responses and changes. The study employed the phenomenological study to make a fine-grained inquiry into the researched phenomenon. Fourteen parents of varying demographic characteristics constituted the sample. One-on-one semi-structured interviews were conducted over Zoom for data collection. Thematic analysis was performed to code the data. I eventually constructed four themes: (1) targeted parental responses and changes, (2) refined parenting skills and practices, (3) heightened understanding of children and parenting, and (4) unsettled parenting styles. Each theme reflects a critical facet of the parenting experiences during the pandemic. In the discussion, effort is invested in parsing out what could elevate the quality of parental responses and what may contribute to the positive parental changes, as well as in pointing …

Culturally responsive instruction is recommended as a tool to help mitigate disparities in the recruitment and retention of culturally diverse students in gifted programs. However, the endorsement of colorblind racial ideology has been associated with lower multicultural teaching competency and the adoption of deficit perspectives among teachers. In addition to informing teachers' perceptions of students' abilities and potential, endorsing colorblind racial ideology may make it more difficult for teachers to recognize disparities that adversely impact students from traditionally minoritized and underrepresented groups. The current study examines the relationship between colorblind racial attitudes and multicultural teaching competency among teachers of students who have been identified as gifted and talented. In a large sample of Texas teachers, multiple regression analysis was used to examine the relationship between colorblind racial ideology, multicultural teaching knowledge, and the implementation of culturally responsive teaching practices when teaching gifted and talented students. Results indicate that racial colorblindness, sex, and multicultural teaching knowledge are all significant predictors of the self-reported implementation of culturally responsive instruction, while gifted-specific training and the proportion of students of color had no effects. Implications relate to the necessity of addressing teachers' racial beliefs and ensuring that gifted-specific professional development equips teachers with the …

The current study focused on dyadic discrepancy, the difference between two individuals. A Monte Carlo simulation was used to compare three dyadic discrepancy estimation methods across a variety of potential research conditions, including variations on intraclass correlation, cluster number, reliability, effect size, and effect size variance. The methods compared were: raw score difference (RSD); empirical Bayes estimate of slope in multilevel modeling (EBD); and structural equation modeling estimate (SEM). Accuracy and reliability of the discrepancy estimate and the accuracy of prediction when using the discrepancy to predict an outcome were examined. The results indicated that RSD and SEM, despite having poor reliability, performed better than EBD when predicting an outcome. The results of this research provide methodological guidance to researchers interested in dyadic discrepancies.

Use and effectiveness of the quiet eye (QE) technique has been a topic of interest in sport, exercise, and performance psychology. The primary purpose of this study was to investigate the influence of QE self-training on college students' internal processes associated with performing a novel task. Specifically, college students' internal processes were examined to understand how QE self-training influenced performance on a novel aiming task. College students (N = 106; M = 21.84 ± 1.79) voluntarily participated in QE self-training intervention. Participants' self-efficacy, self-regulation, and mindfulness was examined before and after QE self-training intervention over a 7-week period, with performance being measured weekly. Following intervention, interviews and follow-up survey were used to gather information about perceptions of using QE self-training instruction. Results indicated outcome performance improved from pre- to post-intervention. Additionally, participants mindfulness acting with awareness and non-judging of inner experiences was influenced by QET self-training. Findings from this study may help sport coaches and performance psychology professionals provide attentional focus training instruction to individuals with diverse levels of skills while also providing future directions for applied practice and research.

College student and Amazon's Mechanical TURK (MTURK) samples are regularly utilized in trauma research. Recent literature, however, has criticized these samples for not being generalizable to the general U.S. population. Measurement invariance (MI) using confirmatory factor analyses (CFA), is rarely utilized in trauma research, even though the analysis can determine whether groups are invariant across factor structure, factor loadings, item intercepts, and residual error variances on a given measure of PTSD symptom severity. The purpose of this study was to determine whether college student (n = 255) and MTURK (n = 316) samples are invariant on the PCL-5. Model fit indices indicated the 7-factor Hybrid model was the best fitting model, but the 6-factor anhedonia model was the most parsimonious model. Both models demonstrated equivalence in factor structures (configural invariance), factor loadings (metric invariance), intercepts (scalar invariance), and residuals (strict invariance), indicating MTURK and college student samples are similar in regards to PTSD symptom severity. These findings provide evidence that these groups can be combined in future studies to increase sample size for trauma research. Only the Anhedonia factor exhibited mean differences between groups, which may be related to true differences between college students and MTURK survey-takers. Thus, there is …

Research has identified job context, specific attributes of professional development (PD), and perceived teacher input as factors that contribute to teachers' attitudes. This sequential mixed methods study tested those findings together and further investigated teachers' beliefs and attitudes about their own professional learning. The first phase of data collection included a 5-item attitude survey, demographic information, and two short-answer questions. Multiple regression analysis of the sample (N = 328) showed four statistically significant contributors to teacher attitude: (i) socioeconomic status of the school, (ii) teacher years of experience at the campus, (iii) content area taught, and (iv) degree attained by the teacher. During the second phase, six focus groups were conducted which confirmed earlier findings and revealed four themes in teachers' attitudes: (1) a need and desire for collaborative, engaging PD; (2) perceived interference from outside forces that supplant teachers' own PD goals and wishes; (3) a need to establish a context and a cohesive plan for long-term career and campus goals; and (4) a subgroup of teachers who believe that PD has little inherent value. Limitations and implications are included.

The purpose of this study was twofold: (a) assess cycling coaches' trauma-related competencies, as measured by trauma knowledge (i.e., trauma-specific education, familiarity with post-traumatic stress [PTS]), stigma of persons with PTS (i.e., fear/dangerousness, help/interact, forcing treatment, negative emotions), and interpersonal skills (i.e., self-reported emotional intelligence, perceived quality of coach-athlete relationships); and (b) examine the influence that trauma knowledge and stigma of persons with PTS has on coaching efficacy specific to coaching trauma-impacted athletes (i.e., trauma-informed coaching efficacy), after controlling for general coaching experience. Descriptive statistics indicated the majority of coaches had no trauma-specific education, a high degree of familiarity with PTS, and a low level of stigma via four attribution variables. Moreover, participants highly appraised their own emotional intelligence, the quality of their coach-athlete relationships, and their trauma-informed coaching efficacy. A hierarchical regression analyses indicated that familiarity with PTS helped to explain additional variance in trauma-informed coaching efficacy over and above demographic and general coach experience variables. The study establishes trauma-informed coaching as a distinct area of research and highlights the need for improved continuing education opportunities for coaches related to psychological trauma and PTS.