Search
On-Site Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
About AERA 2023 Annual Meeting
Program Information
Key Dates / FAQ
Search Tips
Change Preferences / Time Zone
Sign In
The validity of data used for educational policy strongly depends on how is asked (e.g., school leaders or teachers). Therefore, in this study we address the question of whether and to what extant principals and teachers agree when rating various dimensions of the quality of their schools (e.g., teacher cooperation). Using hierarchical data of 2380 teachers nested within 116 principals we perform cross-level group measurement invariance models (Kim et al., 2018) to estimate the latent mean differences and the latent correlations (at school-level) between principal and teacher ratings. Results show that principals rate the quality of their schools exceedingly stronger than their teachers. Thus, our results indicate that multiple informant studies are needed to obtain valid data for decision making.