The present study examined the structural construct validity of the LoTi Digital-Age Survey, a measure of teacher instructional practices with technology in the classroom. Teacher responses (N = 2840) from across the United States were used to assess factor structure of the instrument using both exploratory and confirmatory analyses. Parallel analysis suggests retaining a five-factor solution compared to the MAP test that suggests retaining a three-factor solution. Both analyses (EFA and CFA) indicate that changes need to be made to the current factor structure of the survey. The last two factors were composed of items that did not cover or accurately measure the content of the latent trait. Problematic items, such as items with crossloadings, were discussed. Suggestions were provided to improve the factor structure, items, and scale of the survey.

The research investigation reported herein examined program outcomes of student problem behavior and social skills, based on teachers' perspectives, before and after early behavioral intervention services. The study targets students in kindergarten through grade five who are identified by the school system for being at-risk for being labeled with emotional and behavioral disorders. Students identified received early intervention services based on individualized positive behavioral supports (i.e., social skills training, functional behavioral assessment, and team collaboration). Teachers completed a teacher form of the Social Skills Rating System before and after the student received program services to determine differences in social skills and problematic behavior pre- and post- program early intervention services. An analysis was also made of the differences among gender, ethnicity, and grade according to the teachers' perspectives. Data indicated statistically significant results in the area of social skills and problem behavior. The results indicate early intervention services that teach social skills and use functional behavioral assessments to deal with problem behavior are beneficial to children displaying behavior challenges.

Understanding student achievement in science is important as there is an increasing reliance of the U.S. economy on math, science, and technology-related fields despite the declining number of youth seeking college degrees and careers in math and science. A series of structural equation models were tested using the scores from a statewide science exam for 276 students from a suburban north Texas public school district at the end of their 5th grade year and the latent variables of spatial ability, motivation to learn science and science-related attitude. Spatial ability was tested as a mediating variable on motivation and attitude; however, while spatial ability had statistically significant regression coefficients with motivation and attitude, spatial ability was found to be the sole statistically significant predictor of science achievement for these students explaining 23.1% of the variance in science scores.