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The Students’ Perceptions of School Success Promoting Strategies Inventory (SPSI): Development and validity evidence based studies

Published online by Cambridge University Press:  04 August 2014

Paulo A. S. Moreira*
Affiliation:
Universidade Lusíada do Porto (Portugal)
João Tiago Oliveira
Affiliation:
Universidade Lusíada do Porto (Portugal)
Paulo Dias
Affiliation:
Universidade Lusíada do Porto (Portugal)
Filipa Machado Vaz
Affiliation:
Universidade Lusíada do Porto (Portugal)
Isabel Torres-Oliveira
Affiliation:
Universidade Lusíada do Porto (Portugal)
*
*Correspondence concerning this article should be addressed to Paulo Moreira. Centro de Investigação em Psicologia para o Desenvolvimento (CIPD). Observatório da Melhoria e Eficácia da Escola. Universidade Lusíada do Porto. Rua Dr. Lopo de Carvalho. 4369–006. Porto (Portugal). E-mail: paulomoreira@por.ulusiada.pt

Abstract

Students’ perceptions about school success promotion strategies are of great importance for schools, as they are an indicator of how students perceive the school success promotion strategies. The objective of this study was to develop and analyze the validity evidence based of The Students’ Perceptions of School Success Promoting Strategies Inventory (SPSI), which assesses both individual students’ perceptions of their school success promoting strategies, and dimensions of school quality. A structure of 7 related factors was found, which showed good adjustment indices in two additional different samples, suggesting that this is a well-fitting multi-group model (p < .001). All scales presented good reliability values. Schools with good academic results registered higher values in Career development, Active learning, Proximity, Educational Technologies and Extra-curricular activities (p < .05). SPSI showed to be adequate to measure within-schools (students within schools) dimensions of school success. In addition, there is preliminary evidence for its adequacy for measuring school success promotion dimensions between schools for 4 dimensions. This study supports the validity evidence based of the SPSI (validity evidence based on test content, on internal structure, on relations to other variables and on consequences of testing). Future studies should test for within- and between-level variance in a bigger sample of schools.

Type
Research Article
Copyright
Copyright © Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid 2014 

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References

Amburgh, J., Devlin, J., Kirwin, J., & Qualters, D. (2007). A tool for measuring active learning in the classroom. American Journal of Pharmaceutical Education, 71(5), 18.Google ScholarPubMed
American Educational Research Association, American Psychological Association, National Council on Measurement in Education, Joint Committee on Standards for Educational, & Psychological Testing (US). (1999). Standards for educational and psychological testing. Washington, DC: American Educational Research Association Google Scholar
Astin, A. (1993). What matters in college? Four critical years revisited. San-Francisco, CA: Josey-Bass.Google Scholar
Auster, E., & Wylie, K. (2006). Creating active learning in the classroom: A systematic approach. Journal of Management Education, 30, 333353. http://dx.doi.org/10.1177/1052562905283346 Google Scholar
Bell, B. S., & Kozlowski, S. W. (2008). Active learning: Effects of core training design elements on self-regulatory processes, learning, and adaptability. Journal of Applied Psychology, 93, 296316. http://dx.doi.org/10.1037/0021-9010.93.2.296 CrossRefGoogle ScholarPubMed
Bronfenbrenner, U. (1979) The ecology of human development. Cambridge, MA: Harvard University Press.Google Scholar
Bronfenbrenner, U. (1986). Ecology of the family as a context for human development: Research perspectives. Developmental Psychology, 22, 723742. http://dx.doi.org/10.1037/0012-1649.22.6.723 CrossRefGoogle Scholar
Bronfenbrenner, U. (1998). The ecology of developmental processes. In Lerner, R. (Ed.), Handbook of child psychology: Vol. 1. Theoretical models of human development (5 th Ed., pp. 9931028). New York, NY: Wiley.Google Scholar
Brown, M., & Freeman, K. (2000). Distinguishing features of critical thinking classrooms. Teaching Higher Education, 5, 301309. http://dx.doi.org/10.1080/713699143 CrossRefGoogle Scholar
Bryk, A., Easton, J., Kerbeow, D., Rollow, S., & Sebring, P. (1994). The state of Chicago school reform. Phi Delta Kappan, 76, 7481.Google Scholar
Byrne, B. M. (2006 ). Structural Equation Modeling with EQS: Basic concepts, applications, and programming (2 nd Ed.). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.Google Scholar
Center for Collaborative Education (2001) How are the Boston pilot schools faring?: An analysis of student demographics, engagement and performance. Boston, MA: Author.Google Scholar
Creemers, B., & Reezigt, G. (2005). Linking school effectiveness and school improvement: The background and outline of the project. School Effectiveness & School Improvement, 16, 359371. http://dx.doi.org/10.1080/09243450500234484 CrossRefGoogle Scholar
DuBois, D., Portillo, N., Rhodes, J., Silverthorn, N., & Valentine, J. (2011). How effective are mentoring programs for youth? A systematic assessment of the evidence. Psychological Science in the Public Interest, 12, 5791. http://dx.doi.org/10.1177/1529100611414806 CrossRefGoogle ScholarPubMed
Feldman, A., & Matjasko, J. (2005). The role of school-based extracurricular activities in adolescent development: A comprehensive review and future directions. Review of Educational Research, 75, 159210. http://dx.doi.org/10.3102/00346543075002159 CrossRefGoogle Scholar
Gonzales, R., Richards, K., & Seeley, K. (2002). Youth out of school: Linking absence to delinquency. Denver, CO: Colorado Foundation for Families and Children Google Scholar
Hamilton, S., & Hamilton, M. (1992). Mentoring programs: Promise and paradox. Phi Delta Kappan, 73, 546550.Google Scholar
Hamilton, S., & Hamilton, M. (2010). Building mentoring relationships. New Directions from Youth Development, 126, 141144. http://dx.doi.org/10.1002/yd.354 CrossRefGoogle Scholar
Hamre, B. K., & Pianta, R. C. (2005). Can instructional and emotional support in the first-grade classroom make a difference for children at risk of school failure? Child Development, 76, 949967. http://dx.doi.org/10.1111/j.1467-8624.2005.00889.x CrossRefGoogle ScholarPubMed
Hamre, B., & Pianta, R. (2006). Student-teacher relationships . In Bear, G. & Minke, K. (Eds.), Children’s needs III: Development, prevention and intervention (pp. 5971). Bethesda, MD: National Association of School Psychologists.Google Scholar
Hargreaves, D. (2006) Personalizing learning 6: The final gateway: School design and organization London, UK: Specialist Schools Trust Google Scholar
Hartley, J. (2007). Teaching, learning and new technology: A review for teachers. British Journal of Educational Technology, 38, 4262. http://dx.doi.org/10.1111/j.1467-8535.2006.00634.x CrossRefGoogle Scholar
Hopkins, D. (2001). Meeting the challenge. An improvement guide for schools facing challenging circumstances. London, UK: Department for Education and Skills.Google Scholar
Hughes, K., & Karp, M. (2004). School-based career development: A synthesis of the literature. Institute of Education and the Economy. New York, NY: Teachers College, Columbia University.Google Scholar
Kahne, J., Nagaoka, J., Brown, A., O’Brien, J., Quinn, T., & Thiede, K. (2001). Assessing after-school programs as contexts for youth development. Youth and Society, 32, 421446. http://dx.doi.org/10.1177/0044118X01032004002 CrossRefGoogle Scholar
Kozma, R. (2003). Technology and classroom practices: An international study. Journal of Research on Technology in Education, 36, 114.CrossRefGoogle Scholar
Langhout, R., Rhodes, J., & Osborne, L. (2004). An exploratory study of youth mentoring in an urban context: Adolescents perceptions of relationship styles. Journal of Youth and Adolescence, 33, 293306. http://dx.doi.org/10.1023%2FB%3AJOYO.0000032638.85483.44 CrossRefGoogle Scholar
Leadbeater, C. (2004) Learning about personalization: How can we put the learner at the heart of the education system? Nottingham, UK: DfES Google Scholar
Leadbeater, C. (2005) The shape of things to come: Personalized learning through collaboration. Nottingham, UK: DfES Google Scholar
Lee, V. E., & Burkam, D. T. (2003). Dropping out of high school: The role of school organization and structure. American Educational Research Journal, 40, 353393. http://dx.doi.org/10.3102/00028312040002353 CrossRefGoogle Scholar
Lent, R., Brown, S., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance [Monograph]. Journal of Vocational Behavior, 45, 79122. http://dx.doi.org/10.1006/jvbe.1994.1027 CrossRefGoogle Scholar
Lent, R., Brown, S., & Hackett, G. (2000). Contextual supports and barriers to career choice: A social cognitive analysis. Journal of Counseling Psychology, 47, 3649. http://dx.doi.org/10.1037//0022-0167.47.1.36 CrossRefGoogle Scholar
Maddy-Bernstein, C. (2000). Career development issues affecting secondary schools. The Highlight Zone Research @ Work, 1, 18.Google Scholar
Mahmood, M., Tariq, M., & Javed, S. (2011). Strategies for active learning: An alternative to passive learning. Academic Research International, 1, 193198.Google Scholar
McNeal, R. (1999). Participation in high school extracurricular activities: Investigating school effects. Social Science Quarterly, 80, 291309.Google Scholar
Means, B., Chelemer, C., & Knapp, M. (Eds.). (1991). Teaching advanced skills to at-risk students: Views from research and practice. San Francisco, CA: Jossey Bass Publishers.Google Scholar
Means, B., Toyama, Y., Murphy, R., Bakia, M., & Jones, K. (2009). Evaluation of evidence-based practices in online learning: A meta-analysis and review of online learning studies. Washington, DC: Department of Education, Office of Planning, Evaluation, and Policy Development.Google Scholar
Michael, J. (2006). Where’s the evidence that active learning works? Advances in Physiology Education, 30, 159167. http://dx.doi.org/10.1152/advan.00053.2006 CrossRefGoogle ScholarPubMed
Moreira, P. A. S., Crusellas, L., , I., Gomes, P., & Matias, C. (2010). Evaluation of a manual-based program for the promotion of social and emotional skills in elementary school children: Results from a 4 year study in Portugal. Health Promotion International, 25, 309317. http://dx.doi.org/10.1093/heapro/daq029 CrossRefGoogle ScholarPubMed
Moreira, P. A. S., Dias, P., Vaz, F. M., Rocha, C., & Freitas, S. (2012). Preditores de desempenho académico em alunos Portugueses do 12° ano: Comparação entre escolas com diferentes perfis [Predictors of academic performance in Portuguese secondary school students: Comparison between schools with different profiles]. In Matos, J. M., Verdasca, J., Matos, M., Costa, M. E., Ferrão, M. E., & Moreira, P. A. S. (Coords.). Promoção do sucesso educativo: Projectos de pesquisa [Educational success promotion: Resarch projects] (pp. 189233). Lisboa, Portugal: Fundação Calouste Gulbenkian.Google Scholar
Moreira, P. A. S., Dias, P. C., Vaz, F., Rocha, C., Monteiro, J., & Vaz, J. M. (2012). Escolas secundárias Portuguesas com melhores e piores resultados académicos: Dimensões do aluno, da família e da escola [High and low achieving Portuguese secondary schools: Students’ family and school dimensions]. Revista de Psicologia da Criança e do Adolescente, 3, 81121 Google Scholar
Moreira, P. A. S., Dias, P., Vaz, F. M., & Vaz, J. M. (2013). Predictors of academic performance and school engagement: Integrating persistence, motivation and study skills perspectives using person-centered and variable-centered approaches. Learning and Individual Differences, 24, 117125. http://dx.doi.org/10.1016/j.lindif.2012.10.016 CrossRefGoogle Scholar
Moreira, P. A. S., Oliveira, J. T., Azevedo, C., Sousa, A., Castro, J., & Cloninger, C. R. (2012). The psychometrics and validity of the Junior Temperament and Character Inventory in Portuguese adolescents. Comprehensive Psychiatry, 53, 12271236. http://dx.doi.org/10.1016/j.comppsych.2012.04.014 CrossRefGoogle ScholarPubMed
Moreira, P. A. S., Pinheiro, A., Gomes, P., Cotter, M. J., & Ferreira, R. (2013). Development and evaluation of psychometric properties of an Inventory of Teachers’ Perceptions on Socio-emotional needs. Psicologia: Reflexão e Crítica, 26, 6776. http://dx.doi.org/10.1590/S0102-79722013000100008 Google Scholar
Moreira, P. A. S., Vaz, F. M., Dias, P., & Petracchi, P. (2009). Psychometric properties of the Portuguese version of the School Engagement Instrument. Canadian Journal of School Psychology, 24, 303317. http://dx.doi.org/10.1177/0829573509346680 CrossRefGoogle Scholar
Muthén, B. (1991). Multilevel factor analysis of class and student achievement components. Journal of Educational Measurement, 28, 338354. http://dx.doi.org/10.1111/j.1745-3984.1991.tb00363.x CrossRefGoogle Scholar
Muthén, B. (1997). Latent variable modeling with longitudinal and multilevel data. In Raftery, A. (Ed.), Sociological Methodology (pp. 453480). Boston, MA: Blackwell Publishers.Google Scholar
O’Connor, E., & McCartney, K. (2007). Examining teacher-child relationships and achievement as part of an ecological model of development. American Educational Research Journal, 44, 340369. http://dx.doi.org/10.3102/0002831207302172 CrossRefGoogle Scholar
Palermo, F., Hanish, L. D., Martin, C. L., Fabes, R. A., & Reiser, M. (2007). Preschoolers’ academic readiness: What role does the teacher-child relationship play? Early Childhood Research Quarterly, 22, 407422. http://dx.doi.org/10.1016/j.ecresq.2007.04.002 CrossRefGoogle ScholarPubMed
Pianta, R. C., Nimetz, S. L., & Bennett, E. (1997). Mother-child relationships, teacher-child relationships, and school outcomes in preschool and kindergarten. Early Childhood Research Quarterly, 12, 263280. http://dx.doi.org/10.1016/S0885-2006(97)90003-X CrossRefGoogle Scholar
Preto, M., & Moreira, P. A. S. (2012). Auto-regulação da aprendizagem em crianças e adolescentes filhos de vítimas de violência doméstica contra mulheres [Self-regulation of learning in children and adolescents whose mothers were victims of domestic violence]. Psicologia: Reflexão & Crítica, 25, 730737. http://dx.doi.org/10.1590/S0102-79722012000400012 Google Scholar
Reddy, R., Rhodes, J. E., & Mulhall, P. (2003). The influence of teacher support on student adjustment in the middle school years: A latent growth curve study. Development and Psychopathology, 15, 119138. http://dx.doi.org/10.1017/S0954579403000075 CrossRefGoogle Scholar
Roorda, D., Koomen, H., Spilt, J., & Oort, F. (2011). The influence of affective teacher-student relationships on students’ school engagement and achievement: A meta-analytic approach. Review of Educational Journal, 81, 493529. http://dx.doi.org/10.3102/0034654311421793 Google Scholar
Schacter, J., & Fagnano, C. (1999). Does computer technology improve student learning and achievement? How, when, and under what conditions? Journal of Educational Computing Research, 20, 329343. http://dx.doi.org/10.2190/VQ8V-8VYB-RKFB-Y5RU CrossRefGoogle Scholar
Sebba, J., Brown, N., Steward, S., Galton, M., & James, M. (2008). An investigation of personalized learning approaches used by schools, Nottingham, UK: DfES.Google Scholar
Stone, J. R. III. (2004). Career and technical education: Increasing school engagement. In Smink, J. & Schargel, F. P. (Eds.), Helping students graduate: A strategic approach to dropout prevention (pp. 177184). Larchmont, NY: Eye on Education.Google Scholar
Switzer, D. (2004). Individualized instruction. In Smink, J. & Schargel, F. P. (Eds.), Helping students graduate: A strategic approach to dropout prevention (pp. 225233). Larchmont, NY: Eye on Education.Google Scholar
Valentine, J., Cooper, H., Bettencourt, B., & DuBois, D. (2002). Out-of-school activities and academic achievement: The mediating role of self-beliefs. Educational Psychologist, 37, 245256. http://dx.doi.org/10.1207/S15326985EP3704_4 CrossRefGoogle Scholar
Wagstaff, M., Combs, L., & Jarvis, B. (2000). Solving high school attendance problems: A case study. Journal of At-Risk Issues, 7, 2130.Google Scholar
Wankat, P. (2002). The effective efficient professor: Teaching, scholarship and service. Boston, MA: Allyn & Bacon.Google Scholar
Waxman, H., Lin, M., & Michko, G. (2003). A meta-analysis of the effectiveness of teaching and learning with technology on student outcomes. Naperville, IL: Learning Point Associates.Google Scholar
Wubble, T., Brekelmans, M., Brok, P., & Tarwijk, J. (2006). An international perspective on classroom management in secondary classroom in the Netherlands. In Evertson, C., & Weinstein, C. (Eds.), Handbook of classroom management: Research, practice, and contemporary issues (pp. 11611192). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Wubbles, T., & Brekelmans, M. (2005). Two decades of research on teacher-student relationships in class. International Journal of Educational Research, 43, 624. http://dx.doi.org/10.1016/j.ijer.2006.03.003 CrossRefGoogle Scholar