Dergiler / International Journal of Assessment Tools in Education / 2018 / Cilt: 5 - Sayı: 4

The Teacher Academic Buoyancy Scale: Is it possible to keep TABS on students' academic buoyancy?

Sayfa
659–667
Yayın Tarihi
2018-12-16
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

In sum, this study suggests a significant disjunction between teacher- and self-reports of AB, and that teacher estimates of AB are likely to be affected by salient, non-AB-related, student characteristics.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Academic buoyancy (AB) is the ability to overcome minor academic setbacks.
📊
Temel Bulgular & Veri:Further, AB estimates from the two measures were moderated by demographic characteristics: teachers rated girls and those not facing adversity as more buoyant, but the opposite was the case for self-reports.
💡
Sonuç & Katkı:In sum, this study suggests a significant disjunction between teacher- and self-reports of AB, and that teacher estimates of AB are likely to be affected by salient, non-AB-related, student characteristics.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Academic · Buoyancy · Resilience

Özet

Academic buoyancy (AB) is the ability to overcome minor academic setbacks. However, although it seems as though teachers would be well placed to comment on this characteristic in students, no teacher-report measure of AB exists. This study evaluates a teacher-report version of the widely used, student-report, Academic Buoyancy Scale (ABS). Confirmatory factor analysis supported the unifactorial nature of the Teacher Academic Buoyancy Scale (TABS), and the scale showed excellent internal reliability. However, while there was some evidence for the criterion-related validity of the TABS, it showed very poor convergent validity with the ABS. It also correlated better with academic achievement than should theoretically be the case for a measure of AB. Further, AB estimates from the two measures were moderated by demographic characteristics: teachers rated girls and those not facing adversity as more buoyant, but the opposite was the case for self-reports. In sum, this study suggests a significant disjunction between teacher- and self-reports of AB, and that teacher estimates of AB are likely to be affected by salient, non-AB-related, student characteristics.

Abstract

Academic buoyancy (AB) is the ability to overcome minor academic setbacks. However, although it seems as though teachers would be well placed to comment on this characteristic in students, no teacher-report measure of AB exists. This study evaluates a teacher-report version of the widely used, student-report, Academic Buoyancy Scale (ABS). Confirmatory factor analysis supported the unifactorial nature of the Teacher Academic Buoyancy Scale (TABS), and the scale showed excellent internal reliability. However, while there was some evidence for the criterion-related validity of the TABS, it showed very poor convergent validity with the ABS. It also correlated better with academic achievement than should theoretically be the case for a measure of AB. Further, AB estimates from the two measures were moderated by demographic characteristics: teachers rated girls and those not facing adversity as more buoyant, but the opposite was the case for self-reports. In sum, this study suggests a significant disjunction between teacher- and self-reports of AB, and that teacher estimates of AB are likely to be affected by salient, non-AB-related, student characteristics.

🔖

Bu Makaleye Atıf Yap

VERRİER, D., JOHNSON, S., REİDY, L. (2018). The Teacher Academic Buoyancy Scale: Is it possible to keep TABS on students' academic buoyancy?. International Journal of Assessment Tools in Education, Cilt: 5 - Sayı: 4, 659–667. https://ajindex.com/articles/717072

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (7)

  1. Åhslund, I., & Boström, L. (2018). Teachers’ perceptions of gender differences: What about boys and girls in the classroom? International Journal of Learning, Teaching and Educational Research, 17(4), 28-44.
  2. Bennett, R., Gottesman, R., Rock, D., Cerullo, F., & Levin, Joel R. (1993). Influence of behavior perceptions and gender on teachers' judgments of students' academic skill. Journal of Educational Psychology, 85(2), 347-356.
  3. Bernard, H. R., Killworth, P., Kronenfeld, D., & Sailor, L. (1984). The problem of informant accuracy: The validity of retrospective data. Annual Review of Anthropology, 13, 495–517.
  4. Collie, R. J., Martin, A. J., Malmberg, L.E., Hall, J., & Ginns, P. (2015). Academic buoyancy, student's achievement, and the linking role of control: A cross-lagged analysis of high school students. British Journal of Educational Psychology, 85(1), 113-130.
  5. Drapeau, S., Saint-Jacques, M., Lépine, R., Bégin, G., & Bernard, M. (2007). Processes that contribute to resilience among youth in foster care. Journal of Adolescence, 30, 449–466. DOI: 10.1016/j.adolescence.2007.01.005 Fan, X., Miller, B.C., Park, K., Winward, B.W., Christensen, M., Grotevant, H.D., & Tai, R.H. (2006). An exploratory study about inaccuracy and invalidity in adolescent self-reporting surveys. Field Methods, 18, 223-244. DOI: 10.1177/152822X06289161 Funder, D. (2012). Accurate personality judgment. Current Directions in Psychological Science, 21(3), 177-182.
  6. Howard, S., & Johnson, B. (2000). What makes the difference? Children and teachers talk about resilient outcomes for children ‘at risk’. Educational Studies, 26, 321-337. DOI:10.1080/03055690050137132 Hu, L., & Bentler, P. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. jamovi project (2018). jamovi (Version 0.9) [Computer Software]. Retrieved from https://www.jamovi.org
  7. Malmberg, L. E., Hall, J., & Martin, A. J. (2013). Academic buoyancy in secondary school: Exploring patterns of convergence in English, mathematics, science, and physical education. Learning and Individual Differences, 23, 262-266. DOI: 10.1016/j.lindif.2012.07.014 Martin, A. (2002). Motivation and academic resilience: Developing a model for student enhancement. Australian Journal of Education, 46, 34-49. DOI: 10.1177/000494410204600104 Martin, A.J. (2007). Examining a multidimensional model of student motivation and eng