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The Behavioral and Emotional Screening System (BESS) is a relatively new method for identifying behavior and emotional risk (BER) in children and adolescents. Psychometric evidence regarding this instrument is important for researchers and practitioners considering the use of the BESS for identifying BER in students. Previous psychometric research specifically regarding the BESS Student Form involved the use of samples of elementary and middle school-age children. This study adds to the psychometric evidence for scores on the BESS Student Form by using samples of high school aged students to assess both the factor structure reported by Dowdy, Twyford et al. (2011) and the measurement invariance of the BESS items with regard to ethnicity, English language proficiency, and socioeconomic status. The results indicate that while the proposed 4-factor structure of the BESS Student Form is appropriate, lower than preferred reliabilities for some of the factors indicates that reporting the overall risk T score is more appropriate than reporting factor scores for risk classification purposes. Additionally, the BESS Student Form items did not exhibit measurement bias when comparing across ethnicities, language proficiency classification, or socioeconomic status (via free/reduced lunch classification).

The influential Common Core State Standards for Mathematics (CCSSM) expect students to start statistics learning during middle grades. Thus teacher education and professional development programs are advised to help preservice and in-service teachers increase their knowledge and confidence to teach statistics. Although existing self-efficacy instruments used in statistics education focus on students, the Self-Efficacy to Teach Statistics (SETS) instrument measures a teacher’s efficacy to teach key CCSSM statistical topics. Using the results from a sample of n = 309 participants enrolled in a mathematics education or introductory statistics course, SETS scores were validated for use with middle grades preservice teachers to differentiate levels of self-efficacy to teach statistics. Confirmatory factor analysis using the Multidimensional Random Coefficient Multinomial Logit Model supports the use of two dimensions, which exhibit adequate reliabilities and correspond to the first two levels of the Guidelines for Assessment and Instruction in Statistics Education adopted by the American Statistical Association. Item and rating scale analyses indicate that the items and the six-category scale perform as intended. These indicators suggest that the SETS instrument may be appropriate for measuring preservice teacher levels of self-efficacy to teach statistics.

Research on calling has examined the presence of and search for career calling. This cross-sectional study investigated the relationship between family influence and career calling (presence and search) in a sample of 400 women of color (mean age = 31.2 years) in the United States. The authors also examined whether this relationship was partially or fully explained by critical consciousness. Participants were recruited using Amazon Mechanical Turk, where they completed an online questionnaire. Structural equation modeling was used to test 2 models, with calling presence and calling search as disparate outcomes. Analyses revealed that most of the significant pathways in the model involved family influence, critical consciousness, and calling search. In addition, findings suggested that critical consciousness did not explain the relationship between family influence and career calling (presence or search); however, given the significant pathways, it may still be an important consideration for counselors when working with women of color on their career development.

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