Children and Adolescents with emotional and behavioral disabilities (EBD) are often involved in aggression, acting out, bullying, violence, substance abuse, and juvenile crime. However, the limited Korean studies have focused primarily on bullying of students with developmental disabilities or intellectual disabilities. Therefore, the current study aimed to explore contributing factors to traditional bullying and cyberbullying in Korean children and adolescents with EBD. The current study surveyed 112 students with EBD between ages of 10 and 15 and their parents (guardians). The results revealed that internalizing problem behaviors including anxious/depression, withdrawal/depression, and somatic problems significantly affected traditional bullying victimization of Korean students with EBD. The peer support was a significant factor affecting cyberbullying victimization. Furthermore, the maternal psychological control was a meaningful factor affecting perpetration at school and in cyber world. Based on the findings, the present study described implications regarding prevention and intervention programs for addressing traditional bullying and cyberbullying victimization and perpetration.

Reliability generalization (RG) is a method for meta-analysis of reliability coefficients to estimate average score reliability across studies, determine variation in reliability, and identify study-level moderator variables influencing score reliability. A total of 107 peer-reviewed RG studies published from 1998 to 2013 were systematically reviewed to characterize the meta-analytic methods employed and to evaluate quality of reporting practice against standards for transparency in meta-analysis reporting. Most commonly, RG studies meta-analyzed alpha coefficients, which were synthesized using an unweighted, fixed-effects model applied to untransformed coefficients. Moderator analyses most frequently included multiple regression and bivariate correlations employing a fixed-effects model on untransformed, unweighted coefficients. Based on a unit-weighted scoring system, mean reporting quality for RG studies was statistically less than that for a comparison study of 198 meta-analyses in the organizational sciences across 42 indicators; however, means were not statistically significantly different between the two studies when evaluating reporting quality on 18 indicators deemed essential to ethical reporting practice in meta-analyses. Since its inception a wide variety of statistical methods have been applied to RG, and meta-analysis of reliability coefficients has extended to fields outside of psychological measurement, such as medicine and business. A set of guidelines for conducting and reporting RG …

Digital piracy, the illegal copying or downloading of copyrighted digital products without approval from the copyright holders, has brought great economic loss to the software and digital media industries. Previous studies using moral developmental theory have not found consistent relationships between moral judgment and attitudes towards digital piracy. While some researchers have developed individual test items to assess relationships between moral judgment and attitudes toward digital piracy, others have relied on the Defining Issues Test (DIT). However, in that the DIT represents a general measure of moral judgment based on broad social issues, it, too, may not adequately assess an individual’s reasoning specific to issues regarding digital piracy. The purpose of this study was to create a reliable instrument (i.e., DP-DIT) modeled after the DIT designed to assess moral judgment regarding digital piracy as well as to examine and compare the ability of both DP-DIT and DIT2-short to predict attitudes, intentions and behaviors regarding digital piracy of college students. Results indicated the reliability of both the DIT2-short and the DP-DIT were discounted, quite likely due to the small number of stories contained in each. DP-DIT appeared to have greater predictive ability due to its advantage in predicting attitudes toward digital …

During the transition to college, emerging adults are expected to develop independence and increase individual responsibility as they live away from home for the first time. Modern electronic communication has enabled emerging adults to maintain frequent, daily contact with the parent, a pattern of communication Hofer refers to as an “electronic tether.” This study examined the link between parenting style and the development of independence of first year, first semester college students. Although these students were in frequent contact with their designated parent, no correlation between frequency of communication and parenting style or independence was found. Both authoritative and helicopter parenting significantly positively predicted attitudinal independence. However, permissive parenting functioned as a significant negative predictor. Authoritarian, permissive, and helicopter parenting significantly positively predicted conflictual independence. However, authoritative parenting functioned as a significant negative predictor. Both authoritative and helicopter parenting significantly positively predicted emotional and functional independence.

This study presents a set of data analysis approaches for single subject designs (SSDs). The primary purpose is to establish a series of statistical models to supplement visual analysis in single subject research using Bayesian estimation. Linear modeling approach has been used to study level and trend changes. I propose an alternate approach that treats the phase change-point between the baseline and intervention conditions as an unknown parameter. Similar to some existing approaches, the models take into account changes in slopes and intercepts in the presence of serial dependency. The Bayesian procedure used to estimate the parameters and analyze the data is described. Researchers use a variety of statistical analysis methods to analyze different single subject research designs. This dissertation presents a series of statistical models to model data from various conditions: the baseline phase, A-B design, A-B-A-B design, multiple baseline design, alternating treatments design, and changing criterion design. The change-point evaluation method can provide additional confirmation of causal effect of the treatment on target behavior. Software codes are provided as supplemental materials in the appendices. The applicability for the analyses is demonstrated using five examples from the SSD literature.

Mand training is a very logical and natural procedure to begin teaching communication skills to individuals with autism. Existing research has documented strategies for teaching children with autism to mand for preferred items, although there are fewer high quality studies on teaching children to mand for other people to perform an action. In addition to improving the general mand repertoire, teaching children to mand for others to perform an action is important because it allows children with autism to communicate ways in which another person could improve their environment by performing a simple action. The purpose of this study was to document a functional relation between mand training and acquisition and generalization of unprompted mands for another person to perform an action. Using a multiple-baseline design across participants, four children with autism were taught to mand for an adult to perform a variety of actions (e.g., to open a container so the child could obtain a preferred item). Results showed that the intervention produced an increase in unprompted mands for actions for all participants. Additionally, all participants demonstrated unprompted mands at or above mastery criteria during all generalization sessions in a different setting and different interventionist. The magnitude of effect …

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.

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