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Sandilos, Lia E.; Goble, Priscilla; Rimm-Kaufman, Sara E.; Pianta, Robert C. – Grantee Submission, 2018
The present study examines the extent to which participation in a 14-week professional development course designed to improve teacher-child interactions in the classroom moderated the relation between teacher-reported job stress and gains in observed teacher-child interaction quality from the beginning to the end of the intervention. Participants…
Descriptors: Faculty Development, Teacher Student Relationship, Interaction, Program Effectiveness
Wanzek, Jeanne; Petscher, Yaacov; Al Otaiba, Stephanie; Rivas, Brenna; Jones, Francesca; Kent, Shawn; Schatschneider, Christopher; Mehta, Paras – Grantee Submission, 2017
Research examining effective reading interventions for students with reading difficulties in the upper elementary grades is limited relative to the information available for the early elementary grades. In the current study, we examined the effects of a multicomponent reading intervention for students with reading comprehension difficulties. We…
Descriptors: Reading Tests, Achievement Tests, Elementary School Students, Reading Fluency
Doabler, Christian T.; Clarke, Ben; Stoolmiller, Mike; Kosty, Derek B.; Fien, Hank; Smolkowski, Keith; Baker, Scott K. – Grantee Submission, 2016
A critical aspect of intervention research is investigating the active ingredients that underlie intensive interventions and their theories of change. This study explored the rate of instructional interactions within treatment groups to determine whether they offered explanatory power of an empirically validated Tier 2 kindergarten mathematics…
Descriptors: Mathematics Activities, Intervention, Kindergarten, Structural Equation Models
Cho, Sun-Joo; Preacher, Kristopher J.; Bottge, Brian A. – Grantee Submission, 2015
Multilevel modeling (MLM) is frequently used to detect group differences, such as an intervention effect in a pre-test--post-test cluster-randomized design. Group differences on the post-test scores are detected by controlling for pre-test scores as a proxy variable for unobserved factors that predict future attributes. The pre-test and post-test…
Descriptors: Structural Equation Models, Hierarchical Linear Modeling, Intervention, Program Effectiveness