使用SPSS合并复杂或分歧的数据集:方法和教程

Lillian M. Audette, Katherine E. Johnson, Marie S. Hammond, Jenna S. Lehmann, Michael Oyeteju
{"title":"使用SPSS合并复杂或分歧的数据集:方法和教程","authors":"Lillian M. Audette, Katherine E. Johnson, Marie S. Hammond, Jenna S. Lehmann, Michael Oyeteju","doi":"10.52214/gsjp.v19i.10033","DOIUrl":null,"url":null,"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.\nKeywords: SPSS, syntax, datasets, merging, longitudinal data","PeriodicalId":208098,"journal":{"name":"Graduate Student Journal of Psychology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Merging Complex or Divergent Datasets using SPSS: A Method and Tutorial\",\"authors\":\"Lillian M. Audette, Katherine E. Johnson, Marie S. Hammond, Jenna S. Lehmann, Michael Oyeteju\",\"doi\":\"10.52214/gsjp.v19i.10033\",\"DOIUrl\":null,\"url\":null,\"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.\\nKeywords: SPSS, syntax, datasets, merging, longitudinal data\",\"PeriodicalId\":208098,\"journal\":{\"name\":\"Graduate Student Journal of Psychology\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Graduate Student Journal of Psychology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52214/gsjp.v19i.10033\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Graduate Student Journal of Psychology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52214/gsjp.v19i.10033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

由于许多原因,研究人员将他们的数据放在多个电子数据集中,后来发现他们希望将这些数据集结合起来进行特定的分析。本文分析了关于组合复杂数据集的现有文献,并提供了一个教程和相关语法,该语法将不匹配的数据集(即来自不同来源的数据集)组合在一起,使所有数据都包含在最终的组合数据集中,并识别数据源。这种语法代表了对现有SPSS (v23-v27)组合数据集例程在以下方面的改进:1)扩展可以组合的数据集类型,2)结果数据集的完整性,以及3)促进多个和/或不同数据集的管理。使用此过程的另一个好处是合并了一种方法来测试合并数据的准确性,从而验证数据质量。SPSS语法以及说明和示例在文章中进行了回顾。关键词:SPSS,语法,数据集,合并,纵向数据
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Merging Complex or Divergent Datasets using SPSS: A Method and Tutorial
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
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信