Cross-national measurement of school learning environments: Creating indicators for evaluating UNICEF's Child Friendly Schools Initiative

Children and Youth Services Review

Volumn 34, Issue 3, 2012, Pages 546-557

  Godfrey, Erin B ^a   Osher, David ^b   Williams, Leslie D ^a   Wolf, Sharon ^a   Berg, Juliette K ^a   Torrente, Catalina ^a   Spier, Elizabeth ^b   Aber, J Lawrence ^a  

^a NEW YORK UNIVERSITY   (United States)

^b AMERICAN INSTITUTES FOR RESEARCH   (United States)

Author keywords

Child Friendly Schools; Comparative policy; Evaluation; Factor analysis; Measurement invariance; School quality

Indexed keywords

EID: 84856684456     PISSN: 01907409     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.childyouth.2011.10.015     Document Type: Article

References (53)

1. Battistich V., Horn A. The relationship between students' sense of their school as a community and their problem behaviors. American Journal of Public Health 1997, 87(12):1997-2001.
2. Battistich V., Solomon D., Kim D., Watson M., Schaps E. Schools as communities, poverty levels of student populations, and students' attitudes, motives, and performance: A multilevel analysis. American Educational Research Journal 1995, 32:627-658.
3. Ben-Arieh A. Indicators and indices of children's well-being: Towards a more policy-oriented perspective. European Journal of Education 2008, 43(1):37-50.
4. Bernstein I.H., Teng G. Factoring items and factoring scales are different: Spurious evidence for multidimensionality due to item categorization. Psychological Bulletin 1989, 105:467-477.
5. Bollen K.A. Structural equations with latent variables 1989, Wiley, New York.
6. Brand S., Felner R., Shim M., Seitsinger A., Dumas T. Middle school improvement and reform: Development and validation of a school-level assessment of climate, cultural pluralism, and school safety. Journal of Educational Psychology 2003, 95:570-588.
7. Byrne B.M., Shavelson R.J., Muthen B. Testing for equivalence of factor covariance and mean structures: The issue of partial measurement invariance. Psychological Bulletin 1989, 105:456-466.
8. Christenson S.L., Thurlow M.L. School dropouts: Prevention considerations, interventions, and challenges. Current Directions in Psychological Science 2004, 13(1):36-39.
9. Dolan C.V. Factor analysis of variables with 2, 3, 5, and 7 response categories: A comparison of categorical variable estimators using simulated data. British Journal of Mathematical and Statistical Psychology 1994, 47:309-326.
10. Durlak J., Weissberg R., Pachan M. A meta-analysis of after-school programs that seek to promote personal and social skills in children and adolescents. American Journal of Community Psychology 2010, 45(3-4):294-309.
11. Flora D.B., Curran P. An evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods 2004, 9(4):466-491.
12. Fredericks J.A., Blumenfeld P.C., Paris A.H. School engagement: Potential of the concept, state of the evidence. Review of Educational Research 2004, 74:59-109.
13. Goodenow C. The psychological sense of school membership among adolescents: Scale development and educational correlates. Psychology in the Schools 1993, 30:79-90.
14. Greenberg, E., Skidmore, D., & Rhodes, D. (2004, April). Climates for learning: mathematics achievement and its relationship to school wide student behavior, school wide parental involvement, and school morale. Paper presented at the annual meeting of the American Educational Researchers Association, San Diego, CA.
15. Gregorich S. Do self-report instruments allow meaningful comparisons across diverse population groups? Testing measurement invariance using the confirmatory factor analysis framework. Medical Care. Special Issue: Measurement in a multi-ethnic society 2006, 44(11):S78-S94.
16. Hamre B.K., Pianta R.C. Can instructional and emotional support in the first grade classroom make a difference for children at risk of school failure?. Child Development 2005, 76(5):949-967.
17. Heck R.H., Thomas S.L. An introduction to multilevel modeling techniques 2009, Routledge, New York.
18. Hoogland, J. J. (1999). The robustness of estimation methods for covariance analysis. Published doctoral dissertation, Groningen University, The Netherlands.
19. Hu L., Bentler P.M. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling 1999, 6(1):1-55.
20. Hughes D., Seidman E., Williams N. Cultural phenomena and the research enterprise: Toward a culturally anchored methodology. American Journal of Community Psychology. Special Issue: Culturally anchored methodology 1993, 21(6):687-703.
21. Kline R.B. Principles and practice of structural equation modeling: Methodology in the social sciences 2005, Guilford Press, New York. 2nd ed.
22. Lubke G.H., Muthen B.O. Applying multigroup confirmatory factor models for continuous outcomes to Likert scale data complicates meaningful group comparisons. Structural Equation Modeling 2004, 11(4):514-534.
23. MacCallum R.C., Austin J.T. Applications of structural equation modeling in psychological research. Annual Review of Psychology 2000, 51:201-226.
24. Marsh H.W. The multidimensional structure of physical fitness: Invariance over gender and age. Research Quarterly for Exercise and Sport 1993, 64(3):256-273.
25. Martens M.P. The use of structural equation modeling in counseling psychology research. The Counseling Psychologist 2005, 33(3):269-298.
26. Meredith W., Teresi J.A. An essay on measurement and factorial invariance. Medical Care. Special Issue: Measurement in a multi-ethnic society 2006, 44(11):S69-S77.
27. Muthen L.K., Muthen B.O. Mplus user's guide 1998-2007, Muthen & Muthen, Los Angeles, CA. Fifth Edition.
28. Osher D., Dwyer K., Jimerson S. Foundations of school violence and safety. Handbook of school violence and school safety: From research to practice 2006, 51-71. Erlbaum, Mahwah, NJ. S. Jimerson, M. Furlong (Eds.).
29. Osher D., Kendziora K. Building conditions for learning and healthy adolescent development: A strategic approach. Handbook of youth prevention science 2010, 121-140. Routledge, New York. B. Doll, W. Pfohl, J. Yoon (Eds.).
30. Osher D., Poirer J.M., Dwyer K.P., Hicks R., Brown L.J., Lampron S., et al. Cleveland Metropolitan School District human ware audit: Findings and recommendations 2008, AIR, Washington, DC.
31. Osterman K.F. Students' need for belonging in the school community. Review of Educational Research 2000, 70(3):323-367.
32. Pianta R.C. Student-teacher relationship scale 2001, Psychological Assessment Resources, Inc., Lutz, FL.
33. Pierce K.M., Bolt D.M., Vandell D. Specific features of after-school program quality: Associations with children's functioning in middle childhood. American Journal of Community Psychology 2010, 45(3-4):381-393.
34. Slap G.B., Lot L., Huang B., Daniyam C.A., Zink T.M., Succop P.A. Sexual behaviour of adolescents in Nigeria: Cross sectional survey of secondary school students. BMJ 2003, 326.
35. Solomon D., Watson M., Battistich V., Schaps E., Delucchi K. Creating classrooms that students experience as communities. American Journal of Community Psychology 1996, 24(6):719-748.
36. Spier E., Cai C., Kendziora K., Osher D. School climate and connectedness and student achievement 2007, Association of Alaska School Boards, Juneau, AK.
37. Steenkamp J., Baumgartner H. Assessing measurement invariance in cross-national consumer research. Journal of Consumer Research 1998, 25:78-90.
38. Teddlie C., Reynolds D. The international handbook of school effectiveness research 2000, Falmer Press, London.
39. Temme D. Assessing measurement invariance of ordinal indicators in cross-national research. Inter-national advertising and communication: Current insights and empirical findings 2006, 452-472. Deutscher Universitats-Verlag, Wiesbaden, Germany. S. Diehl, R. Terlutter (Eds.).
40. Teresi J.A. Overview of quantitative measurement methods: Equivalence, invariance and differential item functioning in health applications. Medical Care. Special Issue: Measurement in a multi-ethnic society 2006, 44(11):S39-S49.
41. UNESCO-UIS & UNICEF Children out of school: Measuring exclusion from primary education 2005, UNESCO Institute for Statistics, Montreal.
42. UNICEF Child friendly schools manual 2009, UNICEF, New York.
43. UNICEF Child friendly schools evaluation: Country report for Guyana 2009, UNICEF, New York.
44. UNICEF Child friendly schools evaluation: Country report for Nigeria 2009, UNICEF, New York.
45. UNICEF Child friendly schools evaluation: Country report for the Philippines 2009, UNICEF, New York.
46. UNICEF Child friendly schools evaluation: Country report for Thailand 2009, UNICEF, New York.
47. UNICEF Child friendly schools programming: Global evaluation report 2009, UNICEF, New York.
48. UNICEF The state of the world's children special edition: Celebrating twenty years of the Convention on the Rights of the Child 2009, UNICEF, New York.
49. UNICEF Child friendly schools evaluation: Country report for Nicaragua 2010, UNICEF, New York.
50. UNICEF Child friendly schools evaluation: Country Report for South Africa 2010, UNICEF, New York.
51. Vandenberg R.J., Lance C.E. A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods 2000, 3(1):4-70.
52. Wentzel K. Social relationships and motivation in middle school: The role of parents, teachers and peers. Journal of Educational Psychology 1998, 90(2):202-209.
53. Wentzel K.R., Wigfield A. Academic and social motivational influences on students' academic performance. Educational Psychology Review 1998, 10:155-175.