Person: Stephanie Al Otaiba

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This is the accepted Stage 1 registered report version of the paper "Examining differential intervention effects: Do Individualized Student Intervention effects vary by student abilities and characteristics?".

Document: Teacher Survey on School RTI Components (Uploaded on )

This is a pdf version of a qualtrics version of the teacher knowledge of their school's RTI implementation survey.

Dataset: Administrator Survey of RTI Implementation (Uploaded on )

These are data from 65 school administrators.

Dataset: Teacher Survey Data on School RTI Components (Uploaded on )

These are data from 1000 teachers and 77 administrators. Data include demographic variables on teachers, and their perceptions of RTI implementation in their school. This is a cross-sectional dataset.

The purpose of this study is to explore the relations among elementary schools’ RTI (Response to Intervention) implementation and teachers’ awareness of RTI implementation and student outcomes.

This is a useful figure for new users of Project KIDS to see how the project worked. It lists the original projects, dates, and sample sizes of each component of Project KIDS.

Dataset: Project KIDS Survey Data (Uploaded on )

These data include information on family demographics, home environment, health information, child diet and nutrition, BRIEF, SWAN, all at the item level. This is cross-sectional data. Data can be linked to other Project KIDS data through the PK_ID variable.

Project: Reading for Understanding Initiative (Uploaded on )

Overarching Project Goals:

Dataset: Project KIDS Total Scores Data (Uploaded on )

This data set includes all total scores, demographics, home literacy environment, etc. for Project KIDS. Data are in wide format, with separate variables for each wave of assessments. All 4038 participants are represented in the data.

Dataset: Project KIDS Item level Data (Uploaded on )

These data are for each item on all achievement and behavioral assessments completed during the original intervention projects. The dataset is wide, with separate variable names for each wave of assessment. All participants (n= 4,038) are included.