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

Authors :
Lillian Audette
Katherine Johnson
Marie Hammond
Jenna Lehmann
Michael Oyeteju
Source :
Graduate Student Journal of Psychology. 19
Publication Year :
2022
Publisher :
Columbia University Libraries, 2022.

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

Details

ISSN :
21669066 and 10884661
Volume :
19
Database :
OpenAIRE
Journal :
Graduate Student Journal of Psychology
Accession number :
edsair.doi...........a9382aa98b506b7f49f35bba80ac1f73
Full Text :
https://doi.org/10.52214/gsjp.v19i.10033