ABSTRACT
Student perception surveys are increasingly used to inform school improvement efforts, yet evidence regarding their psychometric properties remains limited in many applied contexts. The present study examined the reliability, temporal stability, and measurement structure of the Panorama Student Survey in a large sample of middle school students. Data were drawn from 18,020 survey administrations across Fall 2022 and Spring 2023, representing 10,196 unique students in Grades 6–8. Internal consistency reliability, test–retest stability, and confirmatory factor analyses were conducted to evaluate the measurement structure of the survey domains. Results indicated strong internal consistency across constructs (α = 0.68–0.86; ω = 0.81–0.92) and moderate to strong temporal stability across waves (r = 0.58–0.70). Confirmatory factor analyses supported unidimensional structures for several domains, including self-efficacy, emotional regulation, teacher–student relations, belonging, and school climate. Additional analyses indicated that self-management was better represented by two correlated factors reflecting task regulation and behavioral control, while diversity/inclusion was best represented by two related factors capturing cross-group contact and perceptions of fair treatment. A revised multidimensional confirmatory model demonstrated good overall fit (CFI = 0.976, TLI = 0.973, RMSEA = 0.055, SRMR = 0.049). Measurement invariance analyses supported configural, metric, and scalar invariance across survey waves, grade levels, gender, exceptionality status, English learner status, and racial/ethnic groups; because the multigroup configural baseline showed only marginal absolute fit, we characterize this invariance evidence as supportive rather than definitive. Findings support the reliability, structural validity, and cross-group comparability of the Panorama Student Survey for assessing middle school students’ perceptions of school experiences, supporting its use for longitudinal analyses and equitable subgroup comparisons in applied educational settings.