Merging Complex or Divergent Datasets using SPSS: A Method and Tutorial

Main Article Content

Lillian M. Audette
Katherine A. Johnson
Marie S. Hammond
Jenna Lehmann
Michael Oyeteju

Abstract

For many reasons, researchers place their data in multiple electronic datasets and later find that they wish to combine those datasets for a particular analysis. This article reports on an analysis of the extant literature on combining complex datasets and provides both a tutorial and related syntax that combines non-matching datasets (i.e., from different sources) in such a way that all data is contained in the final combined dataset with identification of data source. This syntax represents an improvement over the existing SPSS (v23-v27) combining dataset routines in terms of 1) expanding the types of datasets that can be combined, 2) completeness of the resulting dataset, and 3) facilitating management of multiple and/or divergent data sets. An additional benefit of using this process is the incorporation of a method to test the accuracy of the merged data and thus verify the data quality The SPSS syntax along with instructions and examples are reviewed in the article.


Keywords: SPSS, syntax, datasets, merging, longitudinal data

Article Details

Keywords:
SPSS, Syntax, Datasets, Merging, Longitudinal data
Section
Articles
How to Cite
Audette, L., Johnson, K., Hammond, M., Lehmann, J., & Oyeteju, M. (2022). Merging Complex or Divergent Datasets using SPSS: A Method and Tutorial. Graduate Student Journal of Psychology, 19. https://doi.org/10.52214/gsjp.v19i.10033