El análisis estadístico de datos en la investigación educativa
-
1
Universidad del País Vasco/Euskal Herriko Unibertsitatea
info
Universidad del País Vasco/Euskal Herriko Unibertsitatea
Lejona, España
ISSN: 1575-0965
Datum der Publikation: 2024
Titel der Ausgabe: Cultura histórica, multiperspectiva y análisis de iconos culturales en la formación del profesorado de historia
Ausgabe: 27
Nummer: 2
Seiten: 217-232
Art: Artikel
Andere Publikationen in: Revista electrónica interuniversitaria de formación del profesorado: REIFOP
Zusammenfassung
In this paper, some basic issues and concepts about statistical data analysis in the context of educational research are analyzed. First, considering the statistical analysis as a phase of the research process, the importance of questions such as the adequate formulation of objectives and hypotheses, the design of the research, sampling and measurement, is emphasized. After a brief description of free and open statistical analysis software, some approaches and models are presented. The third block focuses on the statistical decision, contrasts and hypothesis testing with special attention to the concepts of significance and effect size.
Bibliographische Referenzen
- Bain, R. (1934). Measurement in Sociology (A response to House). American Journal of Sociology 40 (1934), 481-488.
- Benzécri, J.-P. (1973). L'Analyse des Données. Volume II. L'Analyse des Correspondances. París: Dunod.
- Berliner, D. C. (2002). Educational Research: The Hardest Science of All. Educational Researcher, 31(8), 18-20.
- Blanco Blanco, A. (2018). Estado de las prácticas científicas e investigación educativa. Posibles retos para la próxima década. Revista de Educación, 381, 207-232. https://doi.org/10.4438/1988-592X-RE-2017-381-386
- Box, G. E. P. (1976). Science and statistics. Journal of the American Statistical Association, 71 (356): 791–799. doi:10.1080/01621459.1976.10480949
- Campbell, D. F. y Stanley, J. C. (2005). Diseños experimentales y cuasiexperimentales en la investigación social (1a. edición 9a. reimpresión). Amorrortu Editores.
- Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences. Lawrence Earlbaum Ass.
- Coleman, J. S. et al. (1966). Equality of Educational Opportunity. UD Dept. of Health, Education and Welfare. National Center for Educational Statistics. Us Gov. Printing Office. Washington D.C.
- Creswell, J. W. (2015). A concise introduction to mixed methods research. Sage.
- Creswell, J. W. & Plano Clark, V. L. (2018). Designing and conducting mixed methods research. Sage.
- Etxeberria, J., Joaristi, L., Lizasoain, L. (1990): Programación y Análisis estadísticos básicos con SPSS/PC+. Paraninfo. Madrid.
- Etxeberria Murgiondo, J. (2007). Regresión múltiple (2a. Ed.). La Muralla.
- Field, A. (2012). Discovering statistics using R. Sage Publications.
- Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). Sage. CRC Press.
- Fisher, R. A. (1935). The design of experiments. Edinburgh: Oliver and Boyd.
- Gaviria, J.L. y Castro, M. (2005). Modelos jerárquicos lineales. Madrid. La Muralla.
- Gopalan, M., Rosinger, K., & Ahn, J. B. (2020). Use of Quasi-Experimental Research Designs in Education Research: Growth, Promise, and Challenges. Review of Research in Education, 44(1), 218-243. https://doi.org/10.3102/0091732X20903302
- Joaristi, L. y Lizasoain, L. (2000). Análisis de Correspondencias. La Muralla. Madrid.
- Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22, 140-155.
- López-Martín, E., & Ardura-Martínez, D. (2022). El tamaño del efecto en la publicación científica. Educación XX1, 26(1), 9-17. https://doi.org/10.5944/educxx1.36276
- Magnusson, K. (2023). A Causal Inference Perspective on Therapist Effects. PsyArXiv
- Marco, A. (2024). A pen and paper introduction to statistics. CRC.
- Navarro, D. J. y Foxcroft, D. R. (2022). Learning statistics with jamovi: a tutorial for psychology students and other beginners. (Version 0.75). DOI: 10.24384/hgc3-7p15
- OECD (2006) International Workshop on Impact Evaluation for Development. OECD. Disponible en:https://www.oecd.org/dac/evaluation/dcdndep/internationalworkshoponimpactevaluationfordevelopment15november2006-hostedbytheworldbankandthedacevaluationnetwork.htm
- Stevens, S. S. (1946). On the Theory of Scales of Measurement. Science, 103(2684), 677–680. http://www.jstor.org/stable/1671815
- Taber, K. S. (2019). Experimental research into teaching innovations: responding to methodological and ethical challenges, Studies in Science Education, 55(1), 69-119, DOI: 10.1080/03057267.2019.1658058
- Touron, J. (ed.), Lizasoain, L., Navarro, E. y López-González, E. (2023). Análisis de Datos y Medida en Educación. Logroño: UNIR Editorial.