Calculation of the sample size required to estimate the Pearson correlation coefficient using SPSS syntax

Authors

DOI:

https://doi.org/10.1344/reire2021.14.132565

Keywords:

Correlation, Sample size, SPSS syntax

Abstract

INTRODUCTION. The study of the association between two variables requires the calculation of the statistic called the correlation coefficient. In the design phase of this type of study, the minimum number of participants to be selected must be estimated to ensure that the statistical inferences made have adequate power. Unfortunately, SPSS does not offer the calculation of the sample size for the association studies of quantitative variables. Therefore, the main aim of this study, using SPSS syntax, is to calculate, the sample size necessary to estimate the correlation coefficient through a practical case. METHODS. An SPSS syntax file is provided for the calculation of the sample size in association studies. RESULTS and DISCUSSION. The use of the syntax file will serve as methodological support for all SPSS users and researchers interested in calculating the sample size in order to estimate the correlation coefficient.

Author Biography

Javier Santabárbara, Universidad de Zaragoza

Dr. Javier Santabárbara Departamento de Microbiología, Pediatría, Radiología y Salud Pública. Facultad de Medicina. Universidad de Zaragoza Calle Domingo Miral, s/n 50009 Zaragoza, España. Tel/fax.: +34 976 76 10 00 (Ext. 2701) E-mail: jsantabarbara@unizar.es

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Published

2021-01-04

How to Cite

Santabárbara, J. (2021). Calculation of the sample size required to estimate the Pearson correlation coefficient using SPSS syntax. REIRE Revista d’Innovació I Recerca En Educació, 14(1), 1–7. https://doi.org/10.1344/reire2021.14.132565

Issue

Vol. 14 No. 1 (2021): (July-December, 2020)

Section

Methodological articles

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Copyright (c) 2021 Javier Santabárbara

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