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Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS
Abstract
Many statistics texts tend to focus more on the theory and mathematics underlying statistical tests than on their applications and interpretation. This can leave readers with little understanding of how to apply statistical tests or how to interpret their findings. While the SPSS statistical software has done much to alleviate the frustrations of s
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Cited by
Rashid, T., & Asghar, H. M. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.05.084 · Cited by 649
Multivariate data analysis: an overview
Hair, J. F. (2011) · International Encyclopedia of Statistical Science · doi:10.1007/978-3-642-04898-2_395 · Cited by 630
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Esmaeilzadeh, P. (2020) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-020-01191-1 · Cited by 507
Banihashemi, S., Hosseini, M. R., Golizadeh, H., & Sankaran, S. (2017) · International Journal of Project Management · doi:10.1016/j.ijproman.2017.01.014 · Cited by 441
Sultan, P., Tarafder, T., Pearson, D., & Henryks, J. (2020) · Food Quality and Preference · doi:10.1016/j.foodqual.2019.103838 · Cited by 422
Metadata
- Authors
- Ho, R.
- Venue
- Chapman & Hall/CRC eBooks
- Publisher
- Chapman and Hall/CRC
- Published
- 2006-03-24
- OpenAlex
- W1596452301
- Cited by
- 1,318
- References
- 0
- FWCI
- 3.39
- Type
- book
- Language
- en
- Open access
- closed
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- Ho, R. (2006). Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS. Chapman & Hall/CRC eBooks. https://doi.org/10.1201/9781420011111
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
