Factor analysis using principal component (PCA) method in SPSS with data from CGAP Smallholder Household Survey (2016)
Published in Sage Publications Inc: Research and Data Literacy, 2025
In this dataset, I explain the theoretical underpinnings and the process of carrying out EFA (PCA method) on quantitative survey data from the Consultative Group to Assist the Poor (CGAP) Smallholder Household Survey. In the dataset, I provide a step-by-step tutorial on the analysis in IBM SPSS 29.
Recommended citation: Akiode, M. (2025). Factor analysis using principal component (PCA) method in SPSS with data from CGAP Smallholder Household Survey (2016). Data and Research Literacy. Sage Publications Inc. https://doi.org/10.4135/9781036216504.
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