Children with disabilities are three to four times more likely to be abused than their non-disabled peers due to the impact of challenges related to behavior, cognition, language, social skills, and communication skills. In September of 2018, the Council for Exceptional Children (CEC) specifically noted the need to establish maltreatment prevention and response curricula and promote research and advocacy surrounding maltreatment of children with disabilities. One common curriculum recommended is Kidpower®. While Kidpower® shows promise in increasing people safety skills and offers some basic accommodations for use with disabled populations, a complete accommodation plan for deaf or hard of hearing students has not been developed. The purpose of this study was to explore how Kidpower® curriculum could be accommodated to meet the unique needs of deaf and hard of hearing students from the perspective of the deaf education community, including deaf adults, deaf education teachers, deaf education teacher preparation faculty, and parents with deaf or hard of hearing children. A combination of focus groups and interviews were utilized to review lessons and homework from the Kidpower® curriculum. Participants gave feedback on obstacles and ideas for accommodations and modifications that would mediate the challenges. Data were inductively coded and analyzed for …

Frequent absences resulting from a chronic illness can disrupt adolescent school involvement, impacting academic achievement and psychosocial development as a result. This study explores whether certified child life specialists (CCLSs) could be a resource for parents as they address their adolescents' academic disruptions. Specifically, this study assesses an online training program designed to increase CCLSs' knowledge and self-efficacy as related to adolescents' academic adjustment following frequent absences. This knowledge and skill based training was designed as a three part module with sections including: academic considerations, psychosocial considerations, and availability of school resources in promoting successful adolescent academic adjustment. 62 CCLSs were recruited to participate and complete measures evaluating knowledge, in relation to content included in each module, and self-efficacy, involving communication with parents in regards to adolescent academic adjustment. T-tests were conducted to determine whether there were differences in reports of self-efficacy and knowledge following participation in the intervention between and within the treatment and control groups. Results indicate statistical significance for enhanced knowledge and self-efficacy for the treatment group at post-test. Therefore, the outcomes from this study support the effectiveness of brief online training in fostering knowledge and feelings of efficacy for CCLSs in a context not typically included …

The purpose of this phenomenological study was to explore how individuals from different multiracial/multiethnic groups experience and process the phenomenon of parental racial ethnic socialization (RES). Critical multiracial race theory, critical race theory, and bioecological systems theory offered a conceptual framework to how RES is often presented and processed. This study was guided by two research questions: (1) What are the experiences of RES among multiracial individuals? and (2) How do multiracial individuals process the parental racial ethnic socialization they were offered? Nine qualitative, one-on-one, semistructured interviews were conducted with individuals from three different multiracial/multiethnic groups. Results revealed that experiences of RES varied along with how participants processed RES. Three subthemes and one theme emerged related to the RES experiences of participants. For some participants lack of conversations were evident in their RES, which meant that conversations surrounding multiraciality and other racialized topics were not present. Other participants disclosed the subtheme of preparedness as part of their RES experience, while others mentioned the importance of environment to their RES experience. Additionally, the theme of changes over time arose, demonstrating how different life events can impact RES experiences. As for how multiracial/multiethnic individuals process RES experiences, the main theme of identity …

This study was developed to examine the motivations of individuals who chose alternative routes to teacher certification and what they believe were the strengths and weaknesses of their alternative certification preparation (ACP). Data accrued from this study were based on a 55-item online survey and participant information from an online focus group. The study compared the differences between general and special educators in regards to the motivating factors affecting the decision to become a teacher, remain a teacher, and in choosing a non-university-based ACP, as well as the perceived strengths and weaknesses of the ACP. The results from the survey suggest there are differences in the motivating factors affecting general and special educator's decision to become a teacher and to remain a teacher. Additional survey results suggest there are no differences in the reason these two groups chose a non-university-based ACP. The results of the survey and the online focus group were comparable for these two groups. The remainder of this dissertation includes a review of literature related to teacher shortages and teacher preparation including alternative certification. Additionally, information on the results and analysis of the study are discussed, as well as recommendations for future research.

Teachers of students with emotional/behavioral disorders (E/BD) find that myriad concerns for effective teaching (e.g., salaries, increased paperwork, classroom management) challenge their ability to meet personal and professional needs. The push for certified teachers and limited training to work with students with special needs create stressors that can prohibit effective teaching in the workplace. Teacher moral drops and half of newly hired employees leave the profession. Equally important, student outcomes are affected. Demographic information, program practices, and commitment information from special education teachers across the country were examined in this study. These areas of study helped to determine the best indicators for teacher job satisfaction and barriers that threaten satisfactory working conditions. An online survey was designed to capture 29 areas to explore qualifications and working environments for these teachers. Of the 600 targeted teachers, 332 individuals participated in Likert-like scales to determine their degree of satisfaction or dissatisfaction for working conditions, use of intervention strategies, and areas of commitment. Closed-ended and multiple-choice questions were used. Descriptive analyses and tables aided in understanding this study. The resulting factors indicated that, although some respondents pointed to job dissatisfaction within the subset of questions, participants who worked for more than 6 years …

The research reported herein examined the emotional and behavioral characteristics of adolescent Hispanic students with and without learning disabilities from a middle school in north central Texas. The data were based on all students enrolled at the campus (N = 986), but focused on 55 students of Hispanic descent with learning disabilities and 55 students without. The data accrued for this study utilized a school discipline database. In addition, a 43-item behavioral rating scale was completed on each student of the more focused group. Methods of data analysis were derived from descriptive statistics, one-way analysis of variance, and multiple regression measurements. The results indicate that Hispanic students with learning disabilities often exhibit more disruptive behaviors.

Individuals with autism spectrum disorder (ASD) display deficits in communication and social interaction that can impact their ability to function in daily environments. To remediate these deficits, it is critical for professionals to use effective interventions. While there are many evidence-based practices (EBPs) identified for ASD (e.g., video modeling), the adoption of these EBPs may not occur automatically. Existing research suggests professionals have a generally favorable impression of video modeling. However, little research has examined opinions and applied use of video modeling, which was the purpose of the present study. Using survey methodology, data were collected from 510 professionals in various disciplines (e.g., special educators, speech-language pathologists [SLPs], and behavior analysts [BCBAs]). Data were analyzed primarily via factor analysis and multiple regression. Factor analysis was used to examine the underlying structure of the instrument, revealing two predominant factors: (1) interest in and (2) perceived accessibility of video modeling. Multiple regression was used to examine which demographic characteristics (e.g., age and years of experience) were associated with each factor. Results indicated that BCBAs and SLPs perceived video modeling as more accessible. In terms of interest, professionals who worked with preschool-aged students, who worked in a suburban location, and who had an …

Students' self-determination (SD) can positively influence their ability to make choices in planning for their future. The current study is a preliminary validity study on the most recent 21-item version of Shogren and Wehmeyer's Self-Determination Inventory: Student Report (SDI-SR). The SDI-SR was administered to 316 students (ages 13-22) and results were examined with exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Results of the EFA on a 7-factor solution (TLI = 0.97; RMSEA = 0.04; SRMR = 0.02) aligned with the theoretical basis for the SDI:SR as well as results for the 7-factor CFA using simulated data (TLI = 0.913; RMSEA = 0.047; SRMR = 0.072 and CFI = 0.931); however, the CFA 7-factor solution results on the present study data were slightly lower than what is considered acceptable model fit (TLI = 0.883; RMSEA = 0.04; RMSR = 0.047). These results combined suggest that theory-based 7-factor solution does capture seven latent constructs in this data. A CFA was also conducted with a 5-factor structure based on factor loading from an EFA using the present research data resulting in a better model fit (TLI = 0.912; RMSEA = .075; SRMR = 0.046; and CFI = 0.940) as well as …

Research pertaining to the distortion of the squared canonical correlation coefficient has traditionally been limited to the effects of sampling error and associated correction formulas. The purpose of this study was to compare the degree of attenuation of the squared canonical correlation coefficient under varying conditions of score reliability. Monte Carlo simulation methodology was used to fulfill the purpose of this study. Initially, data populations with various manipulated conditions were generated (N = 100,000). Subsequently, 500 random samples were drawn with replacement from each population, and data was subjected to canonical correlation analyses. The canonical correlation results were then analyzed using descriptive statistics and an ANOVA design to determine under which condition(s) the squared canonical correlation coefficient was most attenuated when compared to population Rc2 values. This information was analyzed and used to determine what effect, if any, the different conditions considered in this study had on Rc2. The results from this Monte Carlo investigation clearly illustrated the importance of score reliability when interpreting study results. As evidenced by the outcomes presented, the more measurement error (lower reliability) present in the variables included in an analysis, the more attenuation experienced by the effect size(s) produced in the analysis, in this …

This study is a comparative analysis of the personality characteristics of a sample of World of Warcraft players (n = 147) and a large normative sample (n = 20,993). The 120-item International Personality Item Pool, based on the five factor model, is used. Independent t-tests were conducted and statistical significance was found for some factors; however, the effect sizes were small, indicating a limited practical difference between the two groups.

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 …

Congenital heart disease is the most common birth defect globally, affecting both children and their families. Twenty –five percent of children experiencing a CHD birth defect are diagnosed with complex CHD (cCHD), signifying critical heart dysfunction requiring one or more open-heart surgeries during the first year of life. With medical advances, cCHD survival rates have almost tripled in the last three decades. This has resulted in an increase in the number of morbidities associated with cCHD, which is drastically impacting the need to support quality of life outcomes for a child with cCHD and their family. The two most prevalent unaddressed risks for quality of life outcomes in the cCHD population are child and caregiver mental health and child's neurodevelopmental disabilities. Congenital heart disease is the most common birth defect globally, affecting both children and their families. Twenty-five percent of children experiencing a CHD birth defect are diagnosed with complex CHD (cCHD), signifying critical heart dysfunction requiring one or more open-heart surgeries during the first year of life. With medical advances, cCHD survival rates have almost tripled in the last three decades. This has resulted in an increase in the number of morbidities associated with cCHD, which is drastically impacting …

This study evaluates archival data from a home intervention with an at-risk preschool child and her family. The intervention model studied was created by the Developmental Research Lab at Texas Christian University. Data was collected prior to and during the first 4 weeks of intervention to assess change in parent-child interaction, behavior and neurochemical profile. Measures used include coding of videotape recordings of the intervention, neurotransmitter levels taken via subject urine samples, Child Behavior Checklist, Parent Stress Index, and ACTeRS Parent Form. Results suggest positive change in parent-child interaction, behavior and neurochemical profile. However, consistent growth was not observed in several neurochemical results. Future studies should assess the entirety of the home intervention model and with a larger sample size.

This study analyzes senior women faculty's discourses about personal and professional experiences they believe contributed to their advancement in academic careers in science, technology, engineering, and mathematics (STEM). The purpose of the study is to understand factors that activate women's success in STEM disciplines where women's representation has not yet attained critical mass. A poststructuralist emphasis on complexity and changing nature of power relations offers a framework that illuminates the ways in which elite women navigate social inequalities, hierarchies of power, and non-democratic practices. Feminist poststructural discourse analysis (FPDA) methods allow analysis of women's talk about their experiences in order to understand the women's complex, shifting positions. Eight female tenured full professors of STEM at research-focused universities in the United States participated in the study. Data sources were in-depth semi-structured interviews, a demographic survey, and curricula vitae. Findings will help shape programs and policies aimed at increasing female representation and promoting achievement at senior levels in academic STEM fields.

Education in Saudi Arabia, including the education of children with special needs, is developing rapidly. However, children with emotional and behavioral disorders are neither consistently identified nor adequately served in Saudi Arabia although they are recognized as a distinct category of children who require special education services. The goal of this study was to examine the prevalence of emotional and behavioral disorders among children in Saudi Arabia to assess the need for intervention services to help those children reach their potential. The current research identified the types of behaviors that are most evident in the study sample. Also, the relationship between demographics and emotional and behavioral disorders is studied to identify possible predictors of disruptive forms of behavior. Parents of children aged 4-17 years in Saudi Arabia were surveyed using the Strengths and Difficulties Questionnaire. The findings of the study suggest that children with emotional and behavioral disorders in Saudi Arabia may account for 20% of the population of children between the ages of 4 and 17. The findings also revealed that over 20% of children in Saudi Arabia have difficulties in peer relationship and lack the necessary prosocial behaviors. The parent reporting, child gender, child education type, the geographical …

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 …

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.

The goal of this research was to determine if there are significant differences in the attribution styles for positive and negative events between students of differing ability and the correlation of these attribution styles to hopefulness. The study examined twelfth grade advanced placement (AP N = 45) students and twelfth grade students with documented learning differences enrolled in college preparatory classes (CP-LD N = 14). Both groups of students came from high socioeconomic backgrounds. The students' internal attributions related to hopefulness were measured with the Hope Scale (Snyder, 1994) which assesses the constructs of agency (will), pathway (way), and produces an overall hopefulness score. Results indicate that AP and CP-LD students had similar measures of internal attribution for positive events, but significantly distinct measures of internal attribution for negative events. However, the AP students show no statistically significant difference from CP-LD students in their measures of agency, pathway, or overall hopefulness.

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.

Research with parents on managing child problem behavior typically measures either child or parent behavior. This study was designed to evaluate the effectiveness of training parents to implement a function-based behavior intervention plan (BIP) in a non-trained natural environment utilizing a Multiple Probe Design across Participants. Participants included four parent-child dyads. Measurement variables included parents' use of effective and ineffective strategies and child problem behavior. Intervention involved training parents to understand and implement the BIP using effective strategies, modeling the effective procedures, and providing feedback following parent implementation of procedures. Results showed that the intervention was very effective in promoting skill generalization of parents and decreasing child problem behavior. The findings have implications for research and clinical practice.

This study compared 3 approaches for handling a fourth level of nesting structure when analyzing data from a cluster-randomized trial (CRT). CRTs can include 3 levels of nesting: repeated measures, individual, and cluster levels. However, above the cluster level, there may sometimes be an additional potentially important fourth level of nesting (e.g., schools, districts, etc., depending on the design) that is typically ignored in CRT data analysis. The current study examined the impact of ignoring this fourth level, accounting for it using a model-based approach, and accounting it using a design-based approach on parameter and standard error (SE) estimates. Several fixed effect and random effect variance parameters and SEs were biased across all 3 models. In the 4-level model, most SE biases decreased as the number of level 3 clusters increased and as the number of level 4 clusters decreased. Also, random effect variance biases decreased as the number of level 3 clusters increased. In the 3-level and complex models, SEs became more biased as the weight level 4 carried increased (i.e., larger intraclass correlation, more clusters at that level). The current results suggest that if a meaningful fourth level of nesting exists, future researchers should account for it using …

Traditional latent class analysis (LCA) considers entropy R2 as the only measure of effect size. However, entropy may not always be reliable, a low boundary is not agreed upon, and good separation is limited to values of greater than .80. As applications of LCA grow in popularity, it is imperative to use additional sources to quantify LCA classification accuracy. Greater classification accuracy helps to ensure that the profile of the latent classes reflect the profile of the true underlying subgroups. This Monte Carlo study compared the quantification of classification accuracy and confidence intervals of three effect sizes, entropy R2, I-index, and Cohen’s d. Study conditions included total sample size, number of dichotomous indicators, latent class membership probabilities (γ), conditional item-response probabilities (ρ), variance ratio, sample size ratio, and distribution types for a 2-class model. Overall, entropy R2 and I-index showed the best accuracy and standard error, along with the smallest confidence interval widths. Results showed that I-index only performed well for a few cases.

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 …

Repetitive verbal patterns of speech are a trait associated with high-functioning autism (HFA). For some, this higher-order restricted, repetitive behavior impedes learning, social opportunities, and access to work environments. Despite emerging motivation for establishing social relationships, some individuals with HFA lack the behavioral prerequisites to establish meaningful relationships. The purpose of this study is to demonstrate the effectiveness of teaching interaction to decrease higher-order verbal restricted and repetitive behaviors (RRBs) for four adults with HFA. Through a multiple baseline design across participants, individuals were exposed to a function-based intervention (i.e., teaching interaction) that systematically taught and reinforced alternative communicative behaviors while interrupting repetitive speech with specific feedback. Teaching interaction effectively reduced RRBs and increased alternative conversation for all four participants. Three of the four participants elected to participate in post-intervention maintenance sessions that occurred in individualized naturalistic settings. Their conversation behaviors maintained with one participant receiving one booster session.