The DOI matches its Crossref record.
Statistical Methods for Psychology.
Abstract
This seventh edition of Statistical Methods for Psychology, like the previous editions, surveys statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. Although it is designed for advanced undergraduates and graduate students, it does not assume that students have had either a previous course in statistics or a course in mathematics beyond high-school algebra. Those students who have had an introductory course will find that the early material provides a welcome review. The book is suitable for either a one-term or a full-year course, and I have used it successfully for both. Since I have found that students, and faculty, frequently refer back to the book from which they originally learned statistics when they have a statistical problem, I have included material that will make the book a useful reference for future use. The instructor who wishes to omit this material will have no difficulty doing so. I have cut back on that material, however, to include only what is still likely to be useful. The idea of including every interesting idea had led to a book that was beginning to be daunting.
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Citations
Cited by
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Buss, D. M., & Schmitt, D. P. (1993) · Psychological Review · doi:10.1037/0033-295x.100.2.204 · Cited by 4,253
The Predictive Validity of Multiple-Item versus Single-Item Measures of the Same Constructs
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Preston, C. C., & Colman, A. M. (2000) · Acta Psychologica · doi:10.1016/s0001-6918(99)00050-5 · Cited by 2,106
Metadata
- Authors
- Gudgeon, A. C., & Howell, D. C.
- Venue
- The Statistician
- Publisher
- JSTOR
- Published
- 1994
- Volume
- 43
- Issue
- 1
- Pages
- 211
- ISSN
- 0039-0526 (ISSN-L)
- OpenAlex
- W1562811233
- Cited by
- 8,278
- References
- 0
- FWCI
- 152.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gudgeon, A. C., & Howell, D. C. (1994). Statistical Methods for Psychology. The Statistician. https://doi.org/10.2307/2348956
Data sources
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.