This study examines the sense of preparedness of preservice special education teachers (PSETs) to instruct English language learners. Pre- and post-survey measures were analyzed using the Wilcoxon signed-rank tests for a group of PSETs as they engaged in their second semester of student teaching experience. To explore emerging themes, a post-qualitative analysis was performed using focus groups. Quantitative results revealed no statistical difference except for the Self-Efficacy subscale. Focus group data showed increased confidence levels resulting from the student teaching experience. A Mann-Whitney U test was used to compare pre-survey results between PSETs who had and PSETs who had not taken advanced coursework or participated in student teaching. With the exception of the subscale, Attitude Towards ELs in the Classroom, results revealed no statistical difference between the two groups. At the same time, qualitative, open-response questions revealed PSETs who had participated in advanced coursework and student teaching seemed to have a deeper understanding of ELs' instructional and linguistic needs. Contributions to the literature are presented which may help in designing teacher preparation programs to increase PSETs' sense of preparedness to better serve ELs with disabilities.

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.

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.

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 …