How to apply the bivariate parametric tests t of Student and ANOVA in SPSS. A practical case

Authors

  • María-José Rubio-Hurtado Universitat de Barcelona
  • Vanesa Berlanga-Silvente Universitat de Barcelona

DOI:

https://doi.org/10.1344/reire2012.5.2527

Keywords:

T-test, ANOVA, Hypothesis testing, Normality

Abstract

Parametric tests are a type of statistical significance tests that quantify the association or independence between quantitative and categorical variable. Parametric tests are demanding certain prerequisites for its application: Normal distribution of quantitative variable in the groups being compared, the homogeneity of variances in the populations of those from the groups and an n sample not less than 30. Its non-compliance leads to the need to use non-parametric statistical tests. Parametric tests are classified into two t-test (for a sample or two related samples or independent) and ANOVA (for more than two independent samples).

Author Biographies

María-José Rubio-Hurtado, Universitat de Barcelona

Professora del Departament de Mètodes d'Investigació i Diagnòstic en Educació (MIDE) de la Facultat de Pedagogia.

Vanesa Berlanga-Silvente, Universitat de Barcelona

Professora del Departament de Mètodes d'Investigació i Diagnòstic en Educació (MIDE) de la Facultat de Pedagogia.

References

Ferrán Aranaz, M. (2002) Curso de SPSS para Windows. Madrid: McGraw-Hill.

Pérez Juste, R., García Llamas, J.L., Gil Pascual, J.A. y Galán González, A. (2009) Estadística aplicada a la Educación. Madrid: UNED - Pearson.

Visauta Vinacua, B. (2007) Análisis estadístico con SPSS 14: Estadística básica (3a ed.). Madrid: McGraw-Hilll Interamericana.

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How to Cite

Rubio-Hurtado, M.-J., & Berlanga-Silvente, V. (2012). How to apply the bivariate parametric tests t of Student and ANOVA in SPSS. A practical case. REIRE Revista d’Innovació I Recerca En Educació, 5(2), 83–100. https://doi.org/10.1344/reire2012.5.2527

Issue

Vol. 5 No. 2

Section

Methodological articles

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