Search Results

Accommodating People Safety Curriculum for Deaf and Hard of Hearing Students
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 themes. Findings indicated the deaf education community believes the curriculum needs media components, language modifications and teaching strategies, enhanced visual information, and representation of people and situations related to the lives of deaf and hard of hearing children to be an effective curriculum for this population.
Adolescent Academic Adjustment during Chronic Illness: Online Training for Child Life Specialists
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 in child life education or certification. As a result, findings from this study may be used to expand intervention programs in the clinical setting to provide more comprehensive psychosocial care to adolescents diagnosed with a chronic illness.
"All things at once": A Retrospective Qualitative Examination of the Parental Racial Ethnic Socialization Practices Experienced by Multiracial/Multiethnic Individuals
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 arose with three subthemes. Participants felt that the lack of awareness/knowledge parents had about potential multiracial experiences left them feeling confused about how to navigate their multiple heritages.
Alternative Certification: A Comparison of Factors Affecting the Motivations of General and Special Educators
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.
An Analysis of Job Satisfaction for Special Educators Who Instruct Students with Emotional/Behavioral Disorders: How Working Conditions Impact Commitment.
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 were less likely to vacate their positions than teachers working for less than six years.
Analysis of School Discipline with a Focus on Characteristics of Hispanic Adolescents with Learning Disabilities from a Low-Socioeconomic Area
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.
Applied Use of Video Modeling in Educational and Clinical Settings: A Survey of Autism Professionals
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 extended family member with ASD showed higher interest in video modeling. Implications for practice and future research are discussed.
Assessing Self-Determination Inventory: Validity for Students with Disabilities and Typically Developing Students
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 a CFA run with the simulated data resulting in an even better fit (TLI = 0.952; RMSEA = 0.040; SRMR = 0.064; and CFI = 0.967) than the 7-factor solutions. It appears the current study results aligned with five of the latent factors of SD.
Attenuation of the Squared Canonical Correlation Coefficient Under Varying Estimates of Score Reliability
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 case Rc2. These results also demonstrated the role between and within set correlation, variable set size, and sample size played in the attenuation levels of the squared canonical correlation coefficient.
Bringing Them Back: Using Latent Class Analysis to Re-Engage College Stop-Outs
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 around intervention strategies and resource allocations.
Caregiver Knowledge of Risk Factors Associated with Complex Congenital Heart Disease and Quality of Life Outcomes
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 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. The present study sought to address the relationship between caregiver knowledge of cCHD developmental challenges (i.e., outcomes related to neurodevelopmental disabilities, mental health, and provider quality-care approach) and children's and caregiver's quality of life outcomes, inclusive of academic functioning ability of children with cCHD, children with cCHD and their caregivers' mental health functioning, and the overall satisfaction with the …
Catalysts of Women's Success in Academic STEM: A Feminist Poststructural Analysis
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.
Children with Emotional and Behavioral Disorders in Saudi Arabia: A Preliminary Prevalence Screening
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 region, the father's education level, and the family's socioeconomic status were found to be statistically significant predictors of children's difficulties. However, these predictors were only able to explain a small portion of the difficulty scores.
Class Enumeration and Parameter Bias in Growth Mixture Models with Misspecified Time-Varying Covariates: A Monte Carlo Simulation Study
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 class enumeration, particularly relative indices. Additionally, researchers should take caution when interpreting variance parameter estimates when the GMM contains a misspecified TVC.
Coaching Athletes with Post-Traumatic Stress: Exploring Trauma-Related Competencies and Coaching Efficacy
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.
Comparing Raw Score Difference, Multilevel Modeling, and Structural Equation Modeling Methods for Estimating Discrepancy in Dyads
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.
Comparing the Effects of Home Versus Clinic-Based Parent Training for Children with Autism
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.
Comparing Three Approaches for Handling a Fourth Level of Nesting Structure in Cluster-Randomized Trials
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 design-based approach; the model-based approach is not recommended. If the fourth level is not practically important, researchers may ignore it altogether.
Comparing Three Effect Sizes for Latent Class Analysis
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.
Comparison of Heterogeneity and Heterogeneity Interval Estimators in Random-Effects Meta-Analysis
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 difference effect sizes.
Complex-Restricted Repetitive Patterns of Vocal Behavior of Individuals with High Functioning Autism: An Innovative Intervention
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.
Computer Assisted Instruction to Improve Theory of Mind in Children with Autism
Children with autism spectrum disorder (ASD) show significant deficits in communication, emotion recognition, perspective taking, and social skills. One intervention gaining increased attention is the use of computer assisted instruction (CAI) to teach social, emotional and perspective-taking skills to individuals with ASD with the purpose of improving theory of mind skills. This study evaluated the effectiveness of CAI for improving theory of mind skills in four children with high functioning autism ages 5 to 12 years. A single-subject multiple baseline research design across participants was utilized to evaluate the effectiveness of CAI. The software contained 22 instructional scenarios that asked participants to identify emotions of characters based on situational cues displayed in line drawn pictures and audio feedback for correct and incorrect responses. Mind-reading skills were assessed using ten randomly selected scenarios for various emotions and no audio feedback. Visual analysis of the data revealed that all four participants increased mind-reading skills during the CAI condition. Additionally, this study evaluated levels of task engagement during experimental conditions. Three of the four participants showed an increase in task engagement during CAI compared to paper-based social stories used during baseline. Generalization of skills was assessed through the use of social scenarios acted out by family members of participants. All four participants were able to correctly identify emotions displayed in generalization scenarios. Results demonstrated that CAI was an effective and socially viable method for improving ToM skills in children with autism and they could generalize their skills to untrained settings.
Construct Validation and Measurement Invariance of the Athletic Coping Skills Inventory for Educational Settings
The present study examined the factor structure and measurement invariance of the revised version of the Athletic Coping Skills Inventory (ACSI-28), following adjustment of the wording of items such that they were appropriate to assess Coping Skills in an educational setting. A sample of middle school students (n = 1,037) completed the revised inventory. An initial confirmatory factor analysis led to the hypothesis of a better fitting model with two items removed. Reliability of the subscales and the instrument as a whole was acceptable. Items were examined for sex invariance with differential item functioning (DIF) using item response theory, and five items were flagged for significant sex non-invariance. Following removal of these items, comparison of the mean differences between male and female coping scores revealed that there was no significant difference between the two groups. Further examination of the generalizability of the coping construct and the potential transfer of psychosocial skills between athletic and academic settings are warranted.
Construct Validation of the Social-Emotional Character Development Scale in Belize: Measurement Invariance Through Exploratory Structural Equation Modeling
Social-emotional learning (SEL) measures assessing social-emotional learning and character development across a broad array of constructs have been developed but lack construct validity. Determining the efficacy of educational interventions requires structurally valid measures which are generalizable across settings, gender, and time. Utilizing recent factor analytic methods, the present study extends validity literature for SEL measures by investigating the structural validity and generalizability of the Social-Emotional and Character Development Scale (SECDS) with a large sample of children from schools in Belize (n = 1877, ages 8 to13). The SECDS exhibited structural and generalizability evidence of construct validity when examined under exploratory structural equation modeling (ESEM). While a higher order confirmatory factor structure with six secondary factors provided acceptable fit, the ESEM six-factor structure provided both substantive and methodological advantages. The ESEM structural model situates the SECDS into the larger body of SEL literature while also exhibiting generalizability evidence over both gender and time.
Convergent Validity of Variables Residualized By a Single Covariate: the Role of Correlated Error in Populations and Samples
This study examined the bias and precision of four residualized variable validity estimates (C0, C1, C2, C3) across a number of study conditions. Validity estimates that considered measurement error, correlations among error scores, and correlations between error scores and true scores (C3) performed the best, yielding no estimates that were practically significantly different than their respective population parameters, across study conditions. Validity estimates that considered measurement error and correlations among error scores (C2) did a good job in yielding unbiased, valid, and precise results. Only in a select number of study conditions were C2 estimates unable to be computed or produced results that had sufficient variance to affect interpretation of results. Validity estimates based on observed scores (C0) fared well in producing valid, precise, and unbiased results. Validity estimates based on observed scores that were only corrected for measurement error (C1) performed the worst. Not only did they not reliably produce estimates even when the level of modeled correlated error was low, C1 produced values higher than the theoretical limit of 1.0 across a number of study conditions. Estimates based on C1 also produced the greatest number of conditions that were practically significantly different than their population parameters.
Creative Self-Efficacy and Personality: From Imagination to Creativity
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.
Criterion Validity of Common Career Interest Inventories: Relative Efficacy with High School Seniors
Professional school counselors frequently use career interest inventories as part of a comprehensive guidance program to help students create a post-secondary school plan. The present study evaluates the validity of three commonly used interest inventories, the Myers-Briggs Type Indicator, Self-Directed Search, and Strong Interest Inventory on field of study choice for graduating high school seniors (N = 616) from a large, suburban high school in Texas. Students identified their intended postsecondary field of study category, were randomly assigned using stratification to three groups, and each group completed a different inventory. Group membership was evaluated to establish covariate balance on a wide variety of indicators. Data from each group was evaluated to determine the extent to which the inventory predicted the chosen field of study, as well as Other and Undeclared categories using logistic regression models. None of the inventory models suggest that the inventory accurately predicts Other or Undeclared outcomes. For students selecting intended postsecondary fields of study, the Self Directed Search predicts such outcomes better than other measures. Professional school and career counselors should consider the SDS in addition to narrative counseling strategies to add greater precision with career decision making among clients and students.
Culturally Competent Evaluations
Significant growth in the number of English language learners (ELLs) in U.S. schools is anticipated to continue, demanding that educators and evaluators have the skills necessary to distinguishing language difference from disability and provide appropriate services to these students. However, little research exists examining the role of evaluator's cultural competence in evaluating ELLs for special education; furthermore, what does exist shows that many evaluators report low levels of self-efficacy as it relates to assessing ELLs. The first chapter of the dissertation reports on a review of 21 articles conducted to address best practices for evaluating culturally and linguistically diverse (CLD) learners, evaluator self-efficacy, and recommendations for conducting culturally competent assessments and evaluations. The majority of the articles identified in this review focused on recommendations for best practices for conducting evaluations rather than reporting empirical findings related to the topic. Only one study was identified that focused on appropriate training needed by evaluation staff to effectively discriminate between language difference and a disability. Based on the findings of this review, additional research, using a rigorous methodology is needed. Addressing that need, the second chapter reports the results of a study conducted to examine the effectiveness of Project PEAC3E (Preparing Evaluators to Accurately Conduct Culturally Competent Evaluations), a reform-oriented professional development model, using case-based activities designed to increase evaluators' sense of self-efficacy, cultural competence, and the accuracy of evaluator eligibility decisions for English language learners (ELLs). The study found that Project PEAC3E was effective in increasing evaluator self-efficacy.
Determination of the Optimal Number of Strata for Bias Reduction in Propensity Score Matching.
Previous research implementing stratification on the propensity score has generally relied on using five strata, based on prior theoretical groundwork and minimal empirical evidence as to the suitability of quintiles to adequately reduce bias in all cases and across all sample sizes. This study investigates bias reduction across varying number of strata and sample sizes via a large-scale simulation to determine the adequacy of quintiles for bias reduction under all conditions. Sample sizes ranged from 100 to 50,000 and strata from 3 to 20. Both the percentage of bias reduction and the standardized selection bias were examined. The results show that while the particular covariates in the simulation met certain criteria with five strata that greater bias reduction could be achieved by increasing the number of strata, especially with larger sample sizes. Simulation code written in R is included.
Developing a Self-Respect Instrument to Distinguish Self-Respect from Self-Esteem
Throughout the scientific literature, researchers have referred to self-respect and self-esteem as being the same construct. However, the present study advocated that they exist as two distinct constructs. In this quantitative study, an instrument was developed to measure self-respect as a construct, and subsequently distinguish that self-respect is distinct from the construct of self-esteem. Exploratory factor analyses (EFA) indicated 32.60% of the variance was accounted for by the 11-item Jefferson Self-Respect instrument (JSR), which measured self-respect as a unidimensional construct. The reliability estimate of the scores from the JSR reached an acceptable α = .82. Fit indices (RMSEA = .031, SRMR = .037, CFI = .982, and TLI = .977) from the confirmatory factor analyses (CFA) signified a well-fitted hypothesized model of self-respect that existed as a unidimensional construct. Additionally, the CFA revealed that the construct of self-respect, and self-esteem was generally distinct, and the strength of the correlation between the two constructs was moderately positive (r = .62).
Diagnosis and Treatment of Autism Spectrum Disorders: Experiences of Caribbean Immigrant Families Living in the United States
Compared to non-immigrant families of children with autism spectrum disorders (ASD), immigrant families tend to experience more challenges securing an evaluation, obtaining a diagnosis, and accessing services for their child/children diagnosed with ASD. Several studies investigated the experiences of various groups of immigrant families. They found that the delays can be attributed to cultural differences in the way families interpret the meaning of ASD and their perceptions of the causes and treatment for ASD. Additionally, a lack of knowledge about ASD and fear of the stigma associated with ASD impacted immigrant parents' willingness to seek a diagnosis. However, few studies examined how Caribbean immigrants living in the United States experience a diagnosis of ASD for their child/children. This qualitative study explored Caribbean immigrant families' perceptions and experiences with ASD. A semi-structured, in-depth interview was used to collect data on families' experiences about symptoms, causes, and treatments of ASD, as well as their sources of support. The data were coded and analyzed using interpretative phenomenological analysis (IPA. Four themes were identified and discussed: A new world, emotional and physical burden caring for a child with ASD, attitudes about ASD in native cultures, and adapting to the new situation.
Did the COVID-19 Pandemic Make Better Parents? A Qualitative Exploration of Parents' Experiences during an Historic Period
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 out implications for parents, community stakeholders, and family science scholars. It is of centrality to validate and invigorate parents to hold onto the gains from the COVID-19 pandemic to face the growing precarity in today's economic and sociopolitical milieus.
Dimensions of Social Network Position As Predictors of Employee Performance.
Research of social networks has revealed that certain components of network position can have an impact on organizational effectiveness, yet relatively little research has been conducted on network position and individual performance. This study sought to determine if a relationship exists between an employee's social network position and an individual's job performance. The participant organization was a network of individuals within an Information Technology (IT) department at a major defense company. A social network analysis (SNA) was conducted to determine the employee's network position, measured by centrality and constraint. Centrality refers to the extent to which an individual is connected to others. Constraint refers to how constrained or inhibited an individual is within the network. Performance was measured by annual appraisal ratings provided by the employee's supervisor. Hierarchical regression analysis was performed to determine relationships between the dependent variable (performance) and independent variables of centrality and constraint. Secondary variables also studied in relation to the model included education level, service years (tenure), job grade, and age. The overall model revealed 17% of variance explained. The primary predictors of network position, centrality and constraint, were not statistically significant predictors of performance ratings. Three variables, job grade, tenure and age, were found to be statistically significant predictors of employee performance. Further research is suggested to provide additional insight into the predictive value of these variables.
Early Intervention Referral and Service Frequency for Children with Visual Impairments: Experiences from the Field
The purpose of this study was to examine differences in early intervention (EI) referral and service frequency for children with blindness or visual impairment (BVI) and gather information about the practices and experiences of vision professionals across the United States. The study focused on obtaining data from certified teachers of students with visual impairment (CTVI) and certified orientation and mobility specialists (COMS) in the United States. Information collected included descriptive statistics and professional information about EI for children with BVI, and information about the referral process and service frequency for children with BVI during EI. Thirty-three states were represented in the collected data. Of these states, 26 had responses from four or more professionals, the criteria for inclusion in the analyses. Participants provided information based on a researcher-developed survey requesting information related to the procedures used to provide EI services for children with BVI. Questions were adapted from established instruments where possible. Across states, there were some statistically significant differences in CTVIs and COMS reports of procedures regarding the role of professional collaboration, parent/caregiver participation in IFSP meetings, strengths/resources utilized by vision professionals, and challenges parents/families encountered when accessing EI services for their child with BVI. No statistically significant differences were identified across states for type of referral method, most commonly initiated by health care professionals, or method by which service frequency was determined. Results will be used to inform future research to further examine EI for children with BVI in the United States.
Eastern Work Ethic: Structural Validity, Measurement Invariance, and Generational Differences
This present study examined the structural validity of a Chinese version of Multidimensional Work Ethic Profile (MWEP-C), using a large sample of Chinese parents and their young adult children (N = 1047). Confirmatory factor analysis (CFA) was applied to evaluate the model fit of sample data on three competing models using two randomly split stratified subsamples. Measurement invariance for these two generational respondents was checked using differential item functioning (DIF) analysis. The results indicated that MWEP-C provided a reasonable fit for the sample data and the majority of survey items produced similar item-level responses for individuals that do not differ on the attributes of work ethic across these two generations. DIF items were detected based on advanced and successive iterations. Monte Carlo simulations were also conducted for creating threshold values and for chi-square probabilities based on 1,000 replications. After identifying the DIF items, model fit improved and generational differences and similarities in work ethic between parents and their young adult children were also identified. The results suggested that the younger Chinese generations have higher work ethic mean scores on the dimensions of work centrality and morality/ethics while they have similarities on time concept, self-reliance, delay of gratification, and hard work as their parents.
Educational Experiences of Youth with And/or At-risk for Emotional and Behavioral Disorders Residing in Foster Care Settings
Research examining the academic experiences of youth with emotional and behavioral disorders (EBD) residing in foster care (FC) is scarce. Research is warranted to understand the academic strengths, weaknesses, and school disciplinary experiences of youth with EBD residing in FC. Data from the National Survey of Child and Adolescent Well-being II (NSCAW II) included data on eight participants classified as EBD. Having a limited number of participants classified as EBD in the data set, I used participants’ scores on the Child Behavior Checklist (CBCL) to classify participants who may be at-risk for EBD. Analyses were conducted to determine if significant relationships existed between participants’ internalizing and externalizing scores on the CBCL and their (a) scores on assessments of academic achievement and (b) behavior problems leading to suspension or expulsion. Results indicated that participants’ scores on the CBCL were not predictive of their academic achievement or of their numbers of behavior problems leading to suspension or expulsion.
Educators' Perceptions of the Importance of Selected Competencies for Teachers of Students with Emotional and Behavioral Disorders and their Perceptions of Personal Proficiency
This study investigated educators' perceptions of the importance of competencies for teachers of students with emotional and behavioral disorders and their own proficiency in the competencies. Participants included educators who had completed university-based coursework on emotional and behavioral disorders. Competencies from the Qualification and Preparation of Teachers of Exceptional Children study were correlated with CEC's content standards and knowledge skill sets for special education teachers of individuals with emotional and behavioral disorders. Participants ranked 88 competencies on importance and proficiency. Results revealed that educators' proficiency in competencies, their years of experience, and level of education contribute a significant percentage of variance in their ratings of the importance of competencies. Implications for further research are provided.
The Effect of Co-teaching on the Academic Achievement Outcomes of Students with Disabilities: a Meta-analytic Synthesis
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 stronger the longer these students were in co-teaching environments. Implications of findings and recommendations for further research are discussed.
The Effect of Naturalistic Behavior Strategies on the Quality of Social Interactions for Children with Autism
Autism is primarily a social disorder and deficits in social?orienting may be responsible for the failure of children with autism to initiate critical social behaviors. The purpose of this research was to improve the quality of social interactions of children with autism by implementing naturalistic behavior strategies intervention utilizing a multiple baseline design across four participants. Naturalistic behavior strategies comprised a comprehensive package of integrated components including: (a) intervention in the child’s natural environment; (b) child-initiated play activities ; (c) prompts to emit language; (d) shaping for all vocal approximations and (e) delivery of natural reinforcement with embedded social interactions to maintain learned behavior. In addition to intervention, generalization of child behaviors was assessed across untrained parents and/or caregivers in the same environment. Results indicated the effectiveness of naturalistic teaching strategies package in increasing (a) the frequency of vocal mands for all children, (b) the number of times that children initiated social engagement during manding, and (c) intervals of nonverbal dyadic orienting. These skills generalized across two untrained caregivers in the same clinical setting without any training from the interventionist. Two parents required training during the generalization phase in order for their child’s behaviors to maintain at levels demonstrated during the intervention phase. Implications for future research and clinical practice are discussed.
Effect Size Reporting and Interpreting Practices in Published Higher Education Journal Articles
Data-driven decision making is an integral part of higher education and it needs to be rooted in strong methodological and statistical practices. Key practices include the use and interpretation of effect sizes as well as a correct understanding of null hypothesis significance testing (NHST). Therefore, effect size reporting and interpreting practices in higher education journal articles represent an important area of inquiry. This study examined effect size reporting and interpretation practices of published quantitative studies in three core higher education journals: Journal of Higher Education, Review of Higher Education, and Research in Higher Education. The review covered a three-year publication period between 2013 and 2015. Over the three-year span, a total of 249 articles were published by the three journals. The number of articles published across the three years did not vary appreciably. The majority of studies employed quantitative methods (71.1%), about a quarter of them used qualitative methods (25.7%), and the remaining 3.2% used mixed methods. Seventy-three studies were removed from further analysis because they did not feature any quantitative analyses. The remaining 176 quantitative articles represented the sample pool. Overall, 52.8% of the 176 studies in the final analysis reported effect size measures as part of their major findings. Of the 93 articles reporting effect sizes, 91.4% of them interpreted effect sizes for their major findings. The majority of studies that interpreted effect sizes also provided a minimal level of interpretation (60.2% of the 91.4%). Additionally, 26.9% of articles provided average effect size interpretation, and the remaining 4.3% of studies provided strong interpretation and discussed their findings in light of previous studies in their field.
The Effectiveness of Child Parent Relationship Therapy (CPRT) for Fathers
High levels of quality father involvement in childhood are associated with children's socio-emotional, cognitive, and behavioral wellbeing. However, fathers can experience difficulty in building positive relationships with their kids due to work-life balance, lack of relational experience, and other life stressors. The purpose of this study was to assess the effectiveness of child-parent relationship therapy (CPRT) on fathers' parental empathy, parental stress, and child behavior problems. Though an abundance of literature exists to support the efficacy of CPRT, this was the first study to include a randomized controlled design with an all-male sample. This was also the first CPRT study to include both English and Spanish speaking fathers with intervention offered in both languages. Participants were 30 fathers (22 English, 8 Spanish; 53% Latino, 40% Caucasian, 7% Asian) with children between the ages of 3 and 10 (60% male, 40% female; 57% Latino/a, 37% Caucasian, 6% Asian). Fathers were randomly assigned to the experimental group (CPRT) (n = 14) or waitlist control group (n = 16). Results from 2 (Group) by 2 (Time) repeated measures ANOVAs did not yield statistically significant interaction effects on the dependent variables. However, results indicated a statistically significant main effect for time on each dependent variable with large effect sizes. Results of the paired samples t-test post hoc analyses indicated a statistically significant change over time for the experimental (CPRT) group and a non-statistically significant change over time for the control group on all dependent variables. Findings of this study support previous studies on the effectiveness of CPRT, but also indicate a need for future research to more accurately determine the effectiveness of CPRT for fathers compared to a waitlist control group.
Effects of a Prototypical Training Program on the Implementation of Systematic Observational Data Collection on Iep Objectives for the Core Deficits of Autism Spectrum Disorders
Legal mandates and best practice recommendations for the education of students with autism spectrum disorders (ASD) emphasize the importance of systematic, ongoing observational data collection in order to monitor progress and demonstrate accountability. The absence of such documentation in decision-making on instructional objectives indicates a weakness in bridging the research-to-practice gap in special education. Utilizing a multiple baseline design across participants, the current study evaluated the effects of a prototypical teacher training program (i.e., workshop, checklist, in-classroom training with feedback, and maintenance with a thinned schedule of feedback) on the frequency of data collection on core deficits of ASD and the use of data-based decision-making. Results indicate increases in daily mean frequency of data collection following intervention. Maintenance and generalization indicates variable responding across participants. Effect size (Cohen's d) indicates a large, clinically significant effect of the training program. Results are discussed in relation to training models, maintenance, and future research.
Effects of Cultural Intelligence and Social Support on Adjustment of International Students
The purpose of this study was to investigate direct and interaction effects of cultural intelligence and social support on the adjustment of international students to U.S. higher education. Hierarchical multiple regression analyses were conducted to test (a) if cultural intelligence was a predictor for adjustment of international students to U.S. higher education; (b) if social support was a predictor for adjustment of international students to U.S. higher education; and (c) if there was an interaction effect between cultural intelligence and social support on international students' adjustment to U.S. higher education. The participants included 262 international students from a southwestern university. The results found only social support from the university was a significant predictor of international students' adjustment. There was no interaction effect between cultural intelligence and social support from any sources on international students' adjustment.
The Effects of Graphic Organizers on Building Comprehension in Students on the Autism Spectrum
Many students on the autism spectrum display a strong ability to process and comprehend information at elevated levels when presented with it visually. Despite this, students who have autism are increasingly being educated in general education content classrooms that utilize lessons directed to whole groups of students and limit the use of visually presented material. For some students with an autism spectrum disorder (ASD), this presentation introduces difficulties related to attention as well as comprehension and retention of material. Research indicates promising results associated with using a graphic organizer to increase comprehension accuracy in students who answer wh-questions following the reading of a short passage. The purpose of this study was to document the relationship between using a graphic organizer and increasing reading comprehension. The study employed a single-subject multiple baseline design across participants to evaluate if the use of a graphic organizer impacted the correctness of answering wh-questions for grade-level social studies content. Participants included four eighth grade students in an urban public school who had been diagnosed with ASD. Results supported research by showing an increase in comprehension skills with the use of a graphic organizer.
The Effects of Participant Motivation on the Effectiveness of Video Modeling
Video modeling interventions have been mostly effective for individuals with autism spectrum disorder (ASD) in teaching social communication skills. However, differences in the effectiveness of these interventions have been noted. Participant motivation was suggested as one of the factors that can influence the effectiveness of video modeling. The purpose of this study was to investigate the effects of participant motivation on video modeling for teaching social communication skills to individuals with ASD. A combined multiple probe across participants and adapted alternating treatments design was used to examine the differential effects of two video modeling conditions (i.e., motivated and non-motivated) on social communication skills of four adults with ASD. Of the four participants, three participants responded to the intervention and performed more of target behavior during the motivated video modeling condition than the non-motivated video modeling condition, while one did not respond to the intervention. In addition, the three participants engaged in a higher percentage of the target behavior during motivated generalization sessions than non-motivated generalization sessions. The results demonstrated that participant motivation influenced the effectiveness of video modeling.
The Effects of Positive Behavioral Supports in Schools since the Implementation of the Individuals with Disabilities Education Act of 1997 based on 2001 SLIIDEA Data
Congress in 1997 recognized that there were some issues and concerns that had emerged surrounding the Individuals with Disabilities Education Act (IDEA) and sought to address these issues and concerns by mandating a national evaluation on the implementation and progress toward improving outcomes for students with disabilities. The Study of the State and Local Implementation of the Individuals with Disabilities Education Act was designed to address how the amendments of IDEA were being implemented by states, school districts, and schools. This mixed methods study examined the first year of data collected from the six-year Study of the State and Local Implementation of IDEA (SLIIDEA) and analyzing 20 case studies that used interviews of special education personnel and principals, conducted at the local school level. Data from the national survey were examined in light of findings from the case studies. The case studies brought out the varying opinions on implementation success at the local level. Further case studies for each year of the study would be helpful in determining the level of implementation locally and the significant insights of local school personnel on whether these initiatives have worked.
Effects of Telepractice for Training Autism Teachers to Contrive Motivating Operations
The rising rate of the autism spectrum disorders (ASD) has resulted in challenges for teachers in public schools, concerning the delivery of evidence-based practices for superior outcomes. Thus, school districts are in need of professional learning options that can be efficiently and effectively delivered to improve the procedural fidelity of interventions. The purpose of this study is to demonstrate the effectiveness of using telepractice to teach autism teachers how to contrive motivating operations to teach manding to students with ASD. By utilizing multiple baselines across participants design, four autism teachers in public schools received intervention support through an online module along with video models as well as direct performance feedback from autism specialists via video-conferencing. The primary dependent variable was the percentage of correct responses from the instructional procedures of task analysis, and the secondary measure was the subsequent rate of student mands. Data were analyzed both visually (i.e., through the study of behavioral patterns) and statistically (i.e., analysis of effect size). Results indicate that telepractice increased accuracy of both teacher and student target responses.
Effects of the Why Try Social Skills Program on Students with Emotional and Behavioral Disorders at an Alternative Campus
Approximately 20% of students with emotional and behavioral disorders (E/BD) are sent to an alternative campus for their lack of social competence. Social skills training (SST) is an evidence-based intervention to help increase social competence for students with E/BD, but there is limited research that addresses SST for students with E/BD at alternative campuses. A mixed-methods design was utilized to examine SST at an alternative campus for students with E/BD. Pre-intervention data were collected for students' attendance, grades, office disciplinary referrals, and behavioral rating scales, after which, the Why Try SST program was implemented. Following the intervention, the same type of data were collected. Nonparametric statistics guided the quantitative analysis, because of the small population being studied. Differences from pre- to post-intervention were examined. Triangulation methods drove the qualitative data collection and analysis through observations, student interviews, and teacher interviews. Students exhibited significant differences from pre- to post-intervention in the number of office disciplinary referrals and several areas on the behavioral rating scales. Important insight into motivation and perceptions was gained through the observations and interviews.
Effects on the Use of Technology-Based Self-Monitoring for Students with Autism Spectrum Disorder: A Meta-Analysis
Self-monitoring involves teaching students to be aware of their own behavior, and be able to record whether the behavior happened or not. The present study uses meta-analysis of single case design (SCD) studies to evaluate the effectiveness of self-monitoring interventions that use electronic devices during implementation for individuals with autism spectrum disorder (ASD). Eligible studies were accessed to determine design quality, and examine the use of self-monitoring for individuals diagnosed with ASD. Studies were evaluated against inclusion-exclusion criteria. The studies that met inclusion criteria (n = 15) were assessed with the What Works Clearinghouse (WWC) standards for methodological rigor. The WWC standards were applied to baseline and intervention phases. There were a total of 12 studies with 32 students diagnosed with ASD that met SCD standards without, and with reservations. The 12 studies were evaluated using the Tau-U effect size metric to quantify the percentage of change that was attributed to the self-monitoring intervention. Overall, omnibus Tau-U was 0.96 (95% confidence interval [CI] = [0.89, 1.0]). Limitations and directions for future research are discussed.
Establishing Criterion on a Personality-Based Assessment for Employment: A Latent Class Analysis of Faking Behavior
Personality assessments have a long history in psychology and have become the backbone of the human capital management industry, with the Big-Five model being the most prevalent. The central criticism of personality assessments for employment decisions is validity of responses since applicants for employment often endorse items to make themselves more desirable for hire, referred to as faking behavior. The present study examined faking behavior using the Assess Personality Survey (APS). Using a sample of applicant and incumbent data (N = 8,020), the objective was to identify response difference between applicant and incumbents, and the prevalence of faking behavior in applicants. Latent class analysis (LCA) was used to compare groups. Results indicate a clear distinction between applicant and incumbent response patterns. Additional analyses suggest 6 classes of testing patterns among applicants, and results are compared with previous faking identification procedures to improve criteria used to establish faking behavior in respondents.
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