兰德-美国教学资源调查-2024年技术文件和调查结果（英）_16页_317kb

American Instructional Resources Surveys (AIRS) 2024 technical documentation details the research design, sample, and data for a survey on instructional materials and supports administered to teachers and school leaders in spring 2024 via RAND Corporation's American Educator Panels (AEP).

Purpose: To provide nationally representative data on the use of English language arts (ELA), mathematics, and science instructional materials in U.S. K-12 public schools. The goal is to inform policy and education practice related to instructional resources.

Participating Panels: Data from two AEP panels:

• American Teacher Panel (ATP): Includes survey responses from public K-12 teachers (N = 9126 weighted).
• American School Leader Panel (ASLP): Includes survey responses from school leaders (N = 1527 weighted).

Sample Design:

• ATP Sample: Recruited using probabilistic sampling since 2014. Oversampled 18 states (14 in the IMPD Network + 4 funded states) to allow for state-level analysis. Targeted ELA, math, and science teachers.
• ASLP Sample: Targeted school leaders (principals) serving all grade levels. Aimed for 1500 completed surveys nationally. No oversampling described for ASLP, limiting state-level analysis.

Survey Instruments:

• Content Areas: Both surveys covered similar areas related to instructional materials, supports, perceptions, and classroom practices for ELA, math, and science. (Refer to Table 1).
• Administration: Approximately 20 minutes each. Respondents were sometimes assigned grade-specific or subject-specific paths within the survey.
• Validation: Surveys developed, modified, and tested with experts and funders.

Data Collection and Completion Rates:

• ATP: Invitations sent to 17,445 teachers (970 screened/invalidated). 9126 weighted completed responses yielded a completion rate of ~55.4%.
• ASLP: Invitations sent to 5,000 leaders (18 screened/skipped). 1527 weighted completed responses yielded a completion rate of ~30.7%.

Weighting Method: Used a calibrated weighting approach (main weight formula) accounting for:

1. Representativeness of the sampling frame against the national population.
2. Probability of selection into the AIRS survey.
3. Probability of responding to the survey (nonresponse adjustment).
   Trimmed weights to address outliers and ensure population totals.

Weight Limitations: Weights are suitable for cross-sectional (single year) analysis but are not designed for longitudinal (over time) studies of the same individuals. State-level estimates within oversampled states require careful consideration of teacher's reported and sampled location.

Weight Information: Replicate weights were not produced, and within-sample variance estimation is feasible with single weights or special syntax requested.

Target Populations: The weights represent public K-12 teachers and school leaders.

Key Characteristics Described: Tables 2 and 3 provide descriptive statistics (years of experience, school level, student demographics, teacher race/gender, etc. for teachers; similar for principals/leader background) comparing unweighted survey respondents with the weighted sample and national population.

Survey Context: This report builds upon previous AIRS documentation from 2021, 2022, 2023. Edited lightly and funds (Bill & Melinda Gates Foundation, Schusterman Family Philanthropies, Walton Family Foundation) are listed.