Construction and Validation of an Arabic Questionnaire on the School Dropout Factors (QSD)
DOI:
https://doi.org/10.14738/assrj.81.9458Keywords:
Design, Validation, Questionnaire, Dropout Factors, Middle School, Tunisian ContextAbstract
This article presents the principles of construction and validation of a questionnaire on the phenomenon of school dropout by illustrating various aspects from a measurement tool prepared to study the different factors of this reality. The standardized theoretical models were adapted and completed for the needs of the study. Educational institutions and, in particular, middle school must establish a clear vision and mission regarding the training that every social professional will demand. School has always played the role of a pupil’s education, but the fact that a significant number of secondary students are abandoning their programs without having completed their course of studies, is a specific symptom of an educational crisis that is occurring within them. For this reason, the present study aimed to validate a key tool to establish the causes, whether endogenous or exogenous as to why pupils leave college without having completed their qualification. Different aspects of validation are discussed: The acceptability by studying data concerning the description of school dropout, the validity of constructing a score on the causes of school dropout, the reliability of the components of the questionnaire, the validity of the construct of the tool. The full questionnaire, with the origin of the questions, instructions for the interviewers and coding mode are presented in the methodology. The questionnaire design, consisting to determine the reasons of early dropout Tunisian pupils. The questionnaire took into account the theoretical proposals of several scientific researches. The instrument developed was validated with a sample of 750 pupils (including 675 respondents) in Tunisian colleges with a national dropout rate of 10%. The respondents (317 girls and 358 boys) have an average age of 14.11 years. The 68 items questionnaire was designed to identify, among the population of pupils quitting their school, 7 categories of factors that potentially lead to Tunisian children dropping out, Institutional, Sociological, Economic, Personal, Family, Cultural and Geographical- with their respective subcategories. Knowing the reasons why college pupils abandon a middle school in particular will allow educational actors to analyze administrative and/or academic requirements and take mitigation measures to minimize school dropout.
References
Acosta, M., & Del, S., (2009). Los procesos de aprendizaje y su incidencia en la deserción estudiantil en el Programa de Química Farmacéutica de la Universidad de Cartagena. Psicología desde el Caribe, 24, 26-58.
Afsa, C., (2013). Qui décroche ? Éducation & Formations 84, 9–20.
Arrighi, J.J., (2012). Quand l’école est finie. Premiers pas dans la vie active d’une génération. Enquête 2010. Marseille : CEREQ.
Bain, D., Pini, G., Scallon, G., et Bertrand, R., (1996). Pour évaluer vos évaluations. La généralisabilité : Mode d'emploi. Genève, Suisse : Centre de recherches psychopédagogiques.
Bentler, P. M., et Dijkstra, T., (1985). Efficient Estimation via Linearization in Structural Models. Dansn P. R. Krishnaiah (dir.), Multivariate Analysis VI (p. 9-42), Amsterdam, Pays-Bas : Elsevier.
Bernard, P.Y., (2013). Le décrochage scolaire. Paris : PUF.
Bertrand, R., et Blais, J. G., (2004). Modèles de mesure : l'apport de la théorie des réponses aux items. Sainte-Foy, Canada : Presses de l'Université du Québec. Bock, R.
Blaya, C., (2010). Décrochage scolaire : l’école en difficulté. Bruxelles : De Boeck.
Blaya, C., & Fortin, L., (2011). Les élèves français et québécois à risque de décrochage scolaire : comparaison entre les facteurs de risque personnels, familiaux et scolaires. L’Orientation scolaire et professionnelle, 40(1), 55-85.
Boissonneault, J., Michaud, J., Côté, D., Tremblay, C., et Allaire, G., (2007). L'abandon scolaire en Ontario français et perspectives d'avenir des jeunes. Éducation et francophonie, 15(1),3-22.
Bond, T. G., et Fox, C. M., (2007). Applying the Rasch Model: Fundamental Measurement in the Human Sciences (2e éd)
Bourdieu, P., (1979). Les trois états du capital culturel. Actes de la recherche en sciences sociales 30, 3–6.
Browne, M. W., et Cudeck, R., (1993). Alternative Ways of Assessing Model Fit. Dans K. A. Bollen et J. S. Long (dir.), Testing Structural Equation Models (p. 136-162).
Bozdogan, H., (1987). Model Selection and Akaike Information Criterion: The General Theory and its Analytical Extensions. Psychometrika, 3, 345-370.
Bosetti, L., (2004). Determinants of school choice: Understanding how parents choose elementary schools in Alberta. Journal of Education Policy, 19(4), 387-405.
Bulman, R. C., (2004). School choice stories: The role of culture. Sociologicial Inquiry, 74(4), 492–519.
Crocker, L. M., et Algina, J., (1986). Introduction to Classical and Modern Test Theory. New York, NY: Holt, Rinehart, and Winston
DeVellis, R. F., (2003). Scale Development: Theory and Applications (2e éd.). Thousand Oaks, CA: SAGE. Downing, S. M. (2003). Validity: On Meaningful Interpretation of Assessment Data. Medical Education, 37(9), 830-837.
Díaz, P. C., (2008). Modelo conceptual para la deserción estudiantil universitaria chilena. Estudios Pedagógicos, 34(2), 65-86
Downing, S. M., (2003). Validity: On Meaningful Interpretation of Assessment Data. Medical Education, 37(9), 830-837.
Dussault, M., Valois, P., et Frenette, E., (2007). Validation de l'échelle de Leadership Transformatif du directeur d'école. Psychologie du travail et des organisations, 13(2), 37-52.
English, R., (2009). Selling Education Through ‘Culture’: Responses to the Market by New, Non-Government Schools. The Australian Educational Researcher, 36(1), 89-104 29
Ferreol, G (sous.dir)., (2006). Décrochage scolaire et politiques éducatives. Collection “Proximités Sociologie”, Editions ModulairesEuropéennes
Fortin, L., Marcotte, D., Potvin, P., Royer, É., & Joly, J., (2006), « Typology of students at risk of Dropping out of school: Description by personal, family and school factors », European Journal of Psychology of Education, 21(4), 363-383.
Hérin, R., (1990). disparities in schooling in France. One indicator: the baccalaureate graduation rate. Social Geography No. 9, Caen P. 151
Herin, R., (1993). School education: the geographic dimensions of inequality of opportunity. In: Space, populations, societies, 1993-2. The French population in its space - The French population within its own space. pp. 343-354;
Janosz, M., Le Blanc, M., Boulerice, B., et Tremblay, R. E., (2000). Predicting different types of school dropouts: A typological approach on two longitudinal samples. Journal of educational psychology 92 (1), 171–190.
Lahire, B., (1995). Tableaux de familles. Heurs et malheurs scolaires en milieux populaires. Paris : Le Seuil/Gallimard.
Laveault, D., et Grégoire, J., (1997). Introduction aux théories des tests en sciences humaines. Paris, France ; Bruxelles, Belgique : De Boeck Université.
Linacre, J. M., (2002). What do Infit and Outfit, Mean-Squared and Standardized Mean? Rasch Measurement
Transaction, 16, 878. Linacre, J. M. et Wright, B. D. (1999). Winsteps Rasch-Model Computer Program (version 2.88) [logiciel informatique]. Chicago, IL : MESA Press.
Linacre, J. M., (1999). Understanding Rasch measurement: estimation methods for Rasch Measures. Journal of Outcome Measurement, 3, 381-405.
Lofstrom, M., (2007). Why are hispanic and african American dropout rates so high? Technical Report 3265, IZA Discussion Paper.
Marsch, H. W., Ellis, L., Parada, L., Richards, G., et Heubeck, B. G., (2005). A Short Version of the Self-Description Questionnaire ii : Operationalising Criteria for Sort Form Evaluation with New Applications of Confirmatory Factor Analysis. Psychological Assessment, 17, 8110
Marsch, H. W., Hau, K. T., Balla, J., et Grayson, D., (1998). Is More Ever Too Much: The Number of Indicators per Factor in Confirmatory Factor Analysis. Multivariate Behavioral Research, 33, 181-220.
MEN, D., (1993). Geography of the School, Paris, p. 84 and following
Millet, M., et Thin, D., (2005). Ruptures scolaires. L’école à l’épreuve de la question sociale. Paris
Nunnally, J. C., et Bernstein, I. H., (1994). Psychometric Theory (3e éd.). New York, NY:
Nuviala, A., Tamayo, J. A., Iranzo, J., & Falcón, D., (2008). Creación, diseño, validación y puesta en práctica de un instrumento de medición de la satisfacción de usuarios de organizaciones que prestan servicios deportivos. Revista Nuevas Tendencias en Educación Física, Deporte y Recreación, 14, 10-16.
Potvin, P., Fortin, L. & Lessard, A., (2006). Le décrochage scolaire. Dans L., Massé, N., Desbiens, et C., Lanaris (Éds). Les troubles du comportement à l’école. Prévention, évaluation et intervention. Montréal : Gaëtan Morin Éditeur
Potvin, P., (2015). Le décrochage scolaire, son dépistage et l’intervention. Les cahiers dynamiques 63. CAIRN
Poullaouec, T., (2010). Le diplôme, arme des faibles : les familles ouvrières et l’école. L’enjeu scolaire. Dispute. https://books.google.fr/books?id=8Yb-SAAACAAJ.
Ristoff, D. I., (2001). O exame nacional de curso e a avaliação institucional. Avaliação: Revista da Rede de Avaliação da Educação Superior, 6(3), 21-29
Rumberger, R.W., (1987). Décrocheurs du secondaire : examen des enjeux et des preuves. Sage Journals, Volume: 57 numéro : 2, page (s): 101-121
Rumberger, R. W., (2011). Dropping Out: Why Students Drop Out of High School and What Can Be Done About It. Cambridge (MA): Harvard University Press. 30
Schumacker, R. E. et Lomax, R. G. (1996). A Beginner's Guide tu Structural Equation Modeling. Mahwah, NJ: Lawrence Erlbaum Associates
Steiger, J. H. (1990). Structural Model Evaluation and Modification: An Interval Estimation Approach. Multivariate Behavioral Research, 25, 173-180
Streiner, D. L., et Norman, G. R., (1995). Health Measurement Scales: A Practical Guide to their Development and Use (2e éd.). Oxford, UK ; New York, NY : Oxford University Press.
Thibert, R., (2013). Le décrochage scolaire : diversité des approches, diversité des dispositifs. Dossier d’actualité Veille et analyse IFE, 84. Lyon : ENS de Lyon
Tousignant, R. et Morissette, D. (1989). Les Principes de la mesure et de l'évaluation des apprentissages (2e éd. rev. et augm.).
Tucker, LR, Lewis, C. Un coefficient de fiabilité pour l'analyse du facteur de vraisemblance maximale. Psychometrika 38, 1–10 (1973). https://doi.org/10.1007/BF02291170
Wright, B. et Masters, G. (1982). Analyse de l'échelle de notation. Chicago, IL : MESA Press.
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